A bibliometric analysis of financial fraud exploiting the elderly in the digital age

María-Elena Lindez-Macarro, Rocio Gallego-Losada, Antonio Montero-Navarro, José-Luis Rodríguez-Sánchez

International Journal of Bank Marketing

ISSN: 0265-2323

Open Access. Article publication date: 7 January 2025

691

Abstract

Purpose

The purpose of this review is to conduct a bibliometric analysis of financial fraud exploiting the elderly by mapping its evolution, identifying major metrics and discussing directions for future research.

Design/methodology/approach

A bibliometric analysis was conducted, based on 434 articles retrieved from the Web of Science that represent the academic literature on the topic from 1995 to the first quarter of 2024. This paper analyses the antecedents of financial fraud exploiting the elderly, the publication trends and the most prolific countries, institutions, journals, research areas and authors. Bibliometric analyses based on co-citation and co-words explore the intellectual structure of the topic. A bibliographic coupling analysis reveals the hottest research trends in this field.

Findings

A significant increase in the number of publications in recent years shows the importance gained by this research stream. The bibliometric analysis identifies four clusters throughout the literature: differentiation of types of elder abuse; protection of the elderly from fraud; cognitive and decision-making capacity in ageing; and factors influencing fraud victimization of the eldest. The most recent research lines identified through bibliographic coupling focused on the contextual and personal antecedents of financial exploitation of the elderly, as well as the possible impact of interventions. Several key research gaps and additional suggestions for further studies, as well as action lines for the financial authorities and economic agents, are outlined.

Originality/value

This paper contributes to knowledge about financial fraud exploiting the elderly synthesizing the existing literature, stressing that the banking industry has to deal with such financial fraud in the context of a growing relevance of the silver economy.

Keywords

Citation

Lindez-Macarro, M.-E., Gallego-Losada, R., Montero-Navarro, A. and Rodríguez-Sánchez, J.-L. (2025), "A bibliometric analysis of financial fraud exploiting the elderly in the digital age", International Journal of Bank Marketing, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJBM-11-2023-0634

Publisher

:

Emerald Publishing Limited

Copyright © 2024, María-Elena Lindez-Macarro, Rocio Gallego-Losada, Antonio Montero-Navarro and José-Luis Rodríguez-Sánchez

License

Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode


1. Introduction

As the integration of information and communication technologies (ICTs) is advancing steadily in the financial industry, practitioners and researchers have focused their attention on the social, political and economic implications of this phenomenon, as well as the challenges faced by different segments of the population. The digital transformation of finance has been strongly pushed by the impact of COVID-19, increasing the implementation of personalized digital financial products for marginalized populations (; ).

Digitalization in finance has brought notable benefits, such as improvements in both private and social economic efficiency (), strengthening banking stability and fostering financial inclusion (; ), as well as achieving better financial outcomes (). These positive impacts have increased the interest of researchers in this field of study, revealing the significant potential of financial digitalization to drive the democratization of financial markets (), provide greater autonomy and accessibility to financial services (), facilitate innovation in small and medium-sized enterprises () and contribute to the reduction of income disparity (). However, the implementation of digital financial technologies entails several risks related to cybersecurity, data theft and criminal activity in the digital financial sphere (; ).

The growing concern of the academic community about financial fraud in the digital era has led to a bloom of articles focused on this issue in recent years. The broad ramifications of financial fraud and its impact at various levels have fostered the generation of knowledge, exploring its relationship with other constructs such as financial literacy, financial well-being, financial capabilities, financial inclusion, responsible finance, accounting fraud, financial behaviour and sustainable fraud prevention strategies (; ; ; ; ; ; ; ; ; ); as well as identifying socio-demographic factors associated with both financial fraud exposure, which is related with the probability of receiving scam messages; and fraud victimization after this exposure (; ; ; ; ; ).

Within the field of financial fraud, this paper focuses on financial fraud exploiting the elderly, a research stream that has gained notable relevance in recent years due to the ageing of the global population, the vulnerability of the eldest when facing the digitalization of financial services and the emergence of the silver economy as the development of new economic opportunities associated with the growth of the older population (; ; ; ; ; ; ). Despite there are some literature reviews regarding financial fraud exploiting the elderly (; ; ; ), no bibliometric analysis of this topic has been carried out.

Bibliometric analysis is a methodology that focuses on statistically examining scientific publications, providing a comprehensive and quantitative view of the development of the literature and the circulation of new knowledge in a particular research area (; ) and is often chosen as a tool to analyse the existing literature on financial fraud. For instance, analyse financial fraud in the context of Fintech, while and focus on accounting fraud, and deal with corporate fraud. An analysis of public policy and financial regulation in preventing and combating financial fraud has been conducted by , while fraud detection systems have been studied by and .

The exponential growth in the volume of research on financial fraud exploiting the elderly, together with the persistent trend towards its expansion, highlights the need to perform a thorough analysis of the existing literature. This effort is critical to keep the academic community informed of relevant studies published in this constantly evolving research field. Therefore, a bibliometric analysis has been conducted to deepen the understanding of trends, patterns and research gaps related to financial fraud exploiting the elderly, thereby contributing to the generation of a stronger knowledge base and the identification of priority research areas in this emerging and critical field.

This study has three main objectives: (1) to describe the intellectual progress and structure of knowledge, analysing the evolution of the number of publications from 1995 to the first quarter of 2024; (2) to determine the leaders in this research stream, analysing the most influential countries, institutions, authors, articles and journals; and (3) to examine the main research trends and the structure of knowledge in this research stream, including collaborations between authors. Additionally, this bibliometric study not only provides an overview of this research field but also outlines the most probable directions for future research, identifying underdeveloped areas or emerging topics that could be the object of further in-depth study (). Finally, this paper offers a substantial contribution to the understanding of financial fraud exploiting the elderly, gathering relevant information for policy makers, regulators and institutions such as the World Health Organization (WHO) and the United Nations (UN), which have already demonstrated their interest and concern in this issue (; ). These findings can influence the formulation of regulatory policies and practices, as well as the implementation of preventive and corrective measures by the entities involved in the fight against financial fraud exploiting the elderly.

Consequently, we will address the following research questions (RQs) dealing with financial fraud exploiting the elderly research:

RQ1.

What has been the evolution of the publications until the first quarter of 2024?

RQ2.

What are the most influencing journals, countries, institutions, authors and articles in this research stream?

RQ3.

What is the main research structure of the research on financial fraud exploiting the elderly?

RQ4.

What research opportunities do this research field offer?

The structure of this analysis starts with , providing an introduction of the research topic, as well as presenting the goals of this paper and the RQs. delivers a theoretical framework stressing the relevance of financial exploitation and fraud in the elderly. deals with the methodological aspects of this research. and show the results of this analysis, using different bibliometric techniques. identifies the emerging research themes and trends in this research stream, while the implications and key findings are finally summarized, in turn, in and .

2. Research context

The remarkable increase in the literary output concerning financial fraud and exploitation in recent years may lead to conceptual ambiguity when dealing with certain terms. According to , the term “exploitation” is described as the act of taking advantage of a position of strength at the expense of the interests of more vulnerable people. state that financial exploitation can deprive victims of their life savings and assets and their economic basis for independence. When financial exploitation affects the elderly, it often involves family members and acquaintances as perpetrators, a factor that increases the complexity of the problem and complicates its identification ().

Financial fraud is considered by some authors the most common form of financial exploitation and a major problem for authorities (). , p. 7) defines financial fraud as “acts and statements through which financial market participants misinform or mislead other participants in the market by deliberately or recklessly providing them with false, incomplete, or manipulative information related to financial goods, services, or investment opportunities in a way that violates any kind of legal rule or law, be it a regulatory rule, statutory law, civil law, or criminal law”.

The rise and consolidation of financial technology companies (Fintechs), together with the evolution towards digitalization in the banking industry, driven especially by the need to remain competitive and the COVID-19 pandemic, have increasingly integrated the presence of digital banking and digital financial services in our day-to-day lives (; ; ; ; ; ; ). This phenomenon has triggered a wave of digital financial fraud, resulting in considerable financial losses and a devastating impact on those affected (; ).

Digital fraud can be defined as the use of ICTs in any suspicious criminal activity (), such as phishing, fake emails used to steal personal information from victims (); pharming, redirecting web traffic by taking advantage of software vulnerabilities in domain name systems to a fraudulent website (); smishing, which mean the theft of private information through text messages (); or vishing, where the identity of a trusted company, organization or person is impersonated through a call to obtain sensitive information ().

Fraudsters’ techniques evolve over time, continuously challenging the authorities and public policies to catch up with the advance of fraudulent schemes in remote banking and digital financial services (; ). Nevertheless, financial institutions are making significant investments in technologies to identify, prevent and detect fraud in order to mitigate reputational and financial risks, safeguard customer interests and maintain market integrity (; ; ). The spread of financial fraud resulting from the digitalization of financial services increases the fraud exposure of financial users, defined as the susceptibility to being a victim of deceptive practices online ().

According to , the elderly need to be especially protected from fraud exposure, given their vulnerability, ensuring the presence of capable guardians () and promoting the application of external fraud alert models (). On the other side, it is crucial to provide immediate assistance to users after fraud victimization (), as users who become victims of fraud tend to experience financial loss and decreased trust in the digital financial environment (; ; ).

Moreover, political authorities should develop measures to mitigate financial fraud exploiting the elderly such as promoting consumer financial capability, financial literacy and digital competences and the generation of a proper silver economy, in order to maintain a sustainable socio-economic development and ensure a dignified quality of life for older people (; ; ; ; ; ; ; ). Likewise, call for a more serious commitment by academics and financial authorities to this topic.

3. Methodology

3.1 Bibliometric analysis

As a variant of the systematic literature review, bibliometric analysis is presented as an excellent opportunity to contribute to theoretical and practical knowledge (). By analysing large amounts of data from a specific area, this methodology effectively provides a comprehensive overview of a research field more objectively than traditional literature reviews (; ).

Bibliometric analysis yields valuable insights into the advances in a research field, enabling the identification of gaps in the literature and; revealing research trends for the coming years (; ; ); and mapping the most used keywords in the field and the most influential authors, as well as the topics being discussed, describing the theories, principles, factors and findings in the research area (; ). Following this approach, this paper carries out the analyses described in .

3.2 Data collection method and procedure

The first step is the selection of the documents to be analysed. The selection process should grant the representativity of the papers selected, not necessarily choosing a complete and exhaustive inventory including every document as, following , the leading journals in a research field account for the majority of the citations, having the rest of documents a negligible impact on the field. Therefore, amongst the numerous databases existing, a bibliometric review should cover the journals listed on either Web of Science (WoS) or Scopus to avoid misleading results, according to guidelines. WoS repository has been selected to perform this bibliometric review, due to its international and independent character as well as its academic prestige (; ), aiming to ensure high standards of quality.

The selection of publications is based on a bibliographic search by keywords that cover the different aspects related to financial fraud in the elderly. To mitigate potential errors during the literature review, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was used (; ). This choice was based on the ability of this method to provide an adequate degree of rigour and transparency throughout the review process (). illustrates the selection criteria implemented according to the PRISMA methodology.

An initial search of articles using keywords on financial fraud in the eldest was performed. This process must be carried out carefully, as the keywords chosen have a decisive influence on the selection of articles. The terms selected were “fraud*” OR “exploitation” OR “pharming” OR “phishing” OR “scam”; AND “financ*”; AND “elder*” OR “older”. We decided not to add synonyms for fraud such as “ponzi” OR “crime” to the search string because they did not provide relevant information for the bibliometric analysis. Additionally, this search was conducted based on several criteria for the selection of documents: (1) only articles from peer-reviewed journals were included, ensuring the quality of the content (); (2) English was selected as the publication language, given its dominance in the academic community (); and (3) no time restrictions were imposed on the publication period, allowing the maximum possible number of publications to be covered up to the first quarter of 2024. For further bibliographic coupling analysis, the same search strategy was used, restricted to the period from 1/1/2022 to 4/15/2024.

The initial sample was composed of 665 research articles from WoS database that met the search requirements. Following the inclusion and exclusion criteria established, the process of double-checking was performed. By applying manual exclusion criteria, it is possible to avoid errors in the selection of documents and to ensure that only papers that contribute significantly to the analysis and understanding of the topic are included (), as many bibliometric analyses have done before (; ; ; ). These articles were excluded from the sample for one or more of the following reasons: (1) they did not address financial fraud; (2) they did not address financial exploitation; and (3) they did not focus on the elderly. As a result, 434 articles were confirmed as relevant for this bibliometric analysis.

4. Performance analysis

The application of bibliometric analysis ranges from the study of publication patterns to the analysis of collaboration networks and the exploration of the intellectual structure of the research field. Bibliometric techniques have been classified into two different categories: (1) performance analysis and (2) scientific mapping ().

Performance analysis includes productivity measures, such as the assessment of the trend in the number of publications; the classification of the articles by institutions, journals, countries and authors; and the evaluation of the core documents of the academic literature, according to their influence in the research field (). SciMAT software (; https://sci2s.ugr.es/scimat/) is considered an accurate tool for performance analysis, due to its robustness in pre-processing compared to other bibliometric software (). SciMAT software allows the elimination of implicit biases and conceptual errors in the literature itself, taking part in all phases of the process, making it an integral tool for bibliometric analysis (; ).

Scientific mapping, in turn, focuses on the intellectual interactions and structural connections between research components, including citation analysis, co-citation analysis and co-word analysis (). The final sample was subjected to mapping analysis using the VOS Viewer software, known for its ability to visualize bibliometric networks (). This tool facilitates the organization and visual representation of connections within a large set of elements, having high credibility and acceptance in the scientific community (; ).

4.1 Evolution of publications

The first RQ deals with the trend in the number of publications throughout the period studied. summarizes the evolution of the scientific production dealing with this topic. The first articles on the subject were published in the mid-1990s, already referring to the financial exploitation of the elderly as one of the most important types of abuse (). From 2008, an upward trend begins to be appreciated. The financial crisis started and the digitalization of financial services assumed a critical role, driven by financial institutions that sought to reduce costs (; ). Scholars describe the financial exploitation of the elderly as a typical crime of the 21st century, and stress how little has been done so far to protect these vulnerable people ().

After some ups and downs, the slope raises again in 2019, mainly due to the increasing transformation of traditional banks towards online banking. The publications of 2020–2023 confirm this trend, reinforced by the emergence of COVID-19 and its impact on online transactions () and data security (). Academics emphasize the importance of financial literacy and digital literacy in detecting and preventing financial fraud in this new era, dominated by technological innovation (; ; ).

The evolution of academic production reveals a lack of maturity in this field of knowledge, which has only been considered a critical issue by the academic literature in recent years due to the escalation of digital fraud (). In the coming years, we can expect a consolidation of the main research lines, while other ones could be abandoned or become less important.

4.2 Institutions and countries

shows the top 10 institutions with the highest research output in financial fraud in the elderly. The top 10 research institutions include the Rush University, with 41 publications record, as the most influential one, followed by Wayne State University (28 publications), University of Southern California (26), State University System of Florida (21) and University of California System (21). Closely behind in the number of publications are Cornell University (19) and Weill Cornell Medicine (15). Located in Israel, Bar Ilan University (13) outstands as the only institution in the top 10 outside the United States (US), while the University of Minnesota Twin Cities, University of Minnesota System and University of Illinois System complete the top 10 positions with 12 publications each. Although the degree of concentration of the institutions to which the authors are linked is relatively low, it is worth noting the high degree of concentration in terms of countries, as most of this top 10 research institutions are located in the USA.

The USA leads the field in financial fraud investigations due to its strong legal framework, which includes specific laws to fight securities fraud and bank fraud (; ). In addition, its extensive experience in this field has generated precedents and effective practices that enhance research. Additionally, its population has aged significantly over the past 2 decades, with the elderly accounting for 17% of the US population (), which has increased the attention and academic interest on this research topic.

highlights two Florida counties (Sumter and Charlotte) among the six most aged ones in the nation. This fact is more than probably the reason why the State University System of Florida is in the top 10 of the most influential institutions in this research field (). One last noteworthy aspect is that no public institutions have been found amongst the 10 most productive affiliations. Bearing in mind that the accelerated ageing of the population and the increased vulnerability of the elderly to financial fraud have relevant implications for world economies, income inequality and the sustainability of public finances, both authorities and public institutions should increase resource allocation to this field of research.

shows the top 10 countries considering their publications on the topic in WoS. The USA clearly leads the scientific production on financial fraud in older adults (69.12%), followed by the United Kingdom (6.45%), Canada (6.45%), Australia (6.22%), People’s Republic of China (5.07%) and Israel (3.92%). As can be seen in , Greece, Germany, Italy and Japan, despite having shares lower than 2%, are among the top 10 countries in this research field. This inclusion suggests a growing relevance of these countries, as well as their institutions and authors.

The high US presence in the production of research on financial fraud exploiting the elderly is consistent with the discussion on the top ten research institutions. The countries leading the research on financial fraud in the elderly are mainly developed ones, belonging to the OECD, where the rates of population ageing and digitalization of financial services are higher (; ). The sum of the number of articles when analysing the institution or the country is higher than the final sample (434 articles), as some articles are co-authored by researchers from different countries/institutions, reflecting the extensive cross-country collaboration network that exists in this research stream.

4.3 Journals and research areas

The 434 articles selected for this bibliometric analysis have been published in 194 different journals. shows the top 10 most productive ones, representing 40.78% of the total production on the topic. These journals are included in the Journal of Citation Report (JCR), indexed in different research areas.

Journal of Elder Abuse Neglect, belonging to the area of Gerontology, stands out as the most productive journal, publishing 74 articles included in the selection. Within the same research field, Gerontologist (21 articles), Journal of Applied Gerontology (18 articles), Clinical Gerontologist (14 articles), Generations-Journal of the American Society on Aging (7 articles) and Journal of the American Geriatrics Society (7 articles) are worth mentioning. Journal of Adult Protection (11 articles) and Journal of Gerontological Social Work (11 articles) are, in turn, focused on Social Work. Also, among the most prolific journals are the Journal of Interpersonal Violence (7 articles) and Aging and Mental Health (7 articles), specialized in the fields of Criminology and Penology and Psychiatry, respectively.

International Review of Economics and Finance, Journal of Financial Economics and Journal of Financial Services Marketing, associated with the areas of Business, Business (Finance) and Economics of the JCR have published some articles related to financial fraud in the elderly throughout the years 2023 and 2024, revealing a growing, but still incipient, interest in the financial community.

As shows, Geriatrics/Gerontology is the field of knowledge that leads the study of financial fraud exploiting the elderly, accounting for 55.07% of the academic literature produced. Areas such as Psychology (12.21%), Psychiatry (9.68%), Criminology/Penology (8.53%) and Social Work (7.60%) have also showed a relevant role.

This finding is aligned with the results of the analysis of the 10 most productive journals in this research field, where journals around Geriatric Gerontology stand out significantly. Despite Business Economics currently represents a 5.30% of the literature, scholars from this area have increased their interest in the topic in the most recent years. Other areas of knowledge that have paid attention to this topic are Neurosciences Neurology (4.38%), Health Care Sciences Services (4.15%), Family Studies (3.69%) and Government Law (3.69%). Nevertheless, the social relevance of this concern could anticipate an imminent growth in the production about this topic in Economics, Business, Management and Finance publications, given the potential impact of financial abuse on the economic well-being of the eldest.

4.4 Most prolific authors

The 434 articles included in the selection were published by 1,118 different authors. shows the 10 authors with the highest number of publications on financial fraud exploiting the elderly. Lichtenberg leads this table with 26 articles, followed by Boyle (19 articles), Dong (19 articles), Han (15 articles), Bennett (15 articles) and Yu (15 articles). It is also worth highlighting the academic contribution to this line of research of authors like Deliema (13 articles), Weissberger (12 articles), Wilber (12 articles) and Mosqueda (11 articles). The majority of these top 10 authors are affiliated with institutions placed amongst the most prominent in this research field (). In addition, as it was shown before, research on financial fraud exploiting the elderly is primarily led by the USA ().

In total, 822 authors (78.44%) have contributed with at least one publication, while 143 authors (13.65%) have published two articles, showing the emergence of new experts and pointing to a likely continued growth in the years to come. The concentration of the research in terms of authors is still low, so it can be considered that there is not a single academic school, but a few clusters of researchers analysing this problem from different angles and perspectives, as will be shown by the bibliographic coupling analysis.

4.5 Most cited articles

Citation analysis is traditionally used to assess the impact and influence of research papers, as citations reflect how the original work has been used and referenced by the scientific community (). It has the advantage of being a persistent and unambiguous measure over time ().

The most referenced articles are shown in . Along with the author, it includes the affiliation country of the first author, the journal of publication and the research field in which it is integrated, as well as the total number of citations in WoS and the number of citations per year for each paper.

The articles have been ranked according to their relative citation (citations per year) in the WoS database, from the most cited to the least cited ones. The top 1 is , with 182 citations, followed by , with 126 citations, and , with 121 citations. These studies analyse elder abuse from different perspectives, addressing several variables including the likelihood of hospitalization as a result of abuse, the risk factors and prevention strategies for elder abuse, neglect and exploitations and the associations between susceptibility to scams and potential correlates, finding that older age, lower income levels, lower cognitive function, lower psychological well-being and lower levels of health and financial literacy are associated with greater susceptibility to scams.

The remaining documents stress the relevance of financial fraud from different points of view. analyse the prevalence and severity of various forms of abuse from the perspective of the victims, examining correlations and predictors and profiling vulnerable elders, identifying financial exploitation as the second most common type of elder abuse. analyse racial disparities in financial exploitation and psychological abuse among older adults, finding higher rates among African-Americans. point out that financial exploitation is the most common and least studied kind of elder abuse, concluding that elderly groups are more likely to self-report financial exploitation; and study the prevalence of elder abuse and neglect in an urban Chinese population, with financial exploitation being the second most common form of elder abuse.

focus on the victimization of persons by personal fraud, defining it as the deliberate intent to deceive people with promises of goods, services or other financial benefits that do not actually exist or were never intended to be provided; while identify contextual risk factors, such as low family income, which may increase vulnerability to abuse. The review of highlights elder abuse as a common problem in both developed and developing countries, as well as the lack of a single standard test to detect abuse.

As can be observed in , most of the journals where the most cited articles have been published belong to the research areas of Medicine and Gerontology, showing again their dominance over other areas. Fraud and financial exploitation of the elderly have hardly been studied in finance. With financial fraud becoming an increasingly major issue, a deeper engagement of the financial academic community, boarding the study of the relationship between financial fraud in the elderly and other financial variables such as financial inclusion and financial literacy, constitutes a research opportunity, both for the academic community and for the sake of the society.

4.6 Degree of concentration of selected variables

After a deep analysis of the most influential countries, institutions, journals, research areas and authors in the field of financial fraud in the elderly, it is worth estimating the degree of concentration of these productivity variables in the literature.

The Herfindahl–Hirschman Index (HHI) is one of the most widely applied and popular indices in social sciences. The degree of concentration of a variable in the market can be calculated by adding the squares of the elements to be analysed (). The result of this index will oscillate between 0 and 10,000, representing a perfectly competitive market and a monopoly, respectively. .

In a perfect competition environment, HHI results would be less than a hundred, as well as less than 1,500 will be considered a normal competitive market. If the value is placed between 1,500 and 2,500, it means a moderate degree of concentration in the market. A highly concentrated market is identified by an HHI greater than 2,500, a situation that may be detrimental to consumer protection.

HHI has been selected to determine the degree of concentration of the academic literature dealing with this research topic, due to its clarity and simplicity, as well as its extensive and prior recognition by the academic literature (; ; ; ).

In this research, MSi represents the market share of variable i (country, journal, institution, research area or author) and n is the number of total items for variable i to be studied. HHI values for the variables analysed are collected in .

Research areas show a high degree of concentration, as Geriatrics Gerontology alone includes a 55.07% of the articles. In terms of countries, the vast majority of authors are from the United States (68.03% and 300 articles). As could be expected, HHI indicates that the concentration is lower regarding the journals, authors and institutions, which is a clear indicator that financial fraud in the elderly has an important potential for development in the immediate future, due to its relative lack of maturity as a research stream.

5. Science mapping

In the co-citation network, each node stands for a single reference and its size represents its number of citations. The links represent the co-citation relationship that exists between different nodes. The thicker the link, the stronger the relationship between the connected nodes. The colours reveal different groups according to their similarity.

The minimum thresholds were established with the aim of presenting maps that link all the documents analysed in an accessible and understandable way for the scientific community ().

5.1 Co-citation network of documents

A total of 11,605 cited references were found among the 434 documents analysed in this study. Only 29 of these met the minimum threshold of 25 citations. Document co-citation analysis reveals the existence of three different clusters ().

5.1.1 Cluster 1 (red network): prevalence of elder abuse

Elder abuse can take place in different ways, which have been studied by the literature gathered in this cluster. found a high prevalence of elder abuse, being defined as the frequency with which different types of abuse or neglect happen in a population of older adults in a given period, while define prevalence as the proportion of individuals in a population who have a particular characteristic at a specific point in time or along a specific period of time. highlight financial exploitation as the most serious and frequent problem among the different types of elder abuse. Moreover, the incidence of elder abuse and financial exploitation is not uniform across the elderly, as factors such as age, race, poverty and cognitive impairment are significant determinants of vulnerability to elder abuse (; ; ). According to , it is imperative to develop effective preventive strategies to ensure the financial security of older people, avoiding consequences such as increased hospitalization or mortality rates and negative implications for social and health policy (; ). In this specific domain, the academic literature remarks on the importance of establishing agreed standards for the measurement of financial fraud exploiting the elderly, as well as addressing it from different perspectives, including research, policy and practical intervention.

5.1.2 Cluster 2 (green network): decision-making and cognitive impairment in fraud and financial exploitation vulnerability

state that decision-making becomes even more important for health and well-being during the ageing stage, when many influential decisions are made just when cognitive function declines. show that, despite being cognitively intact, 1 in 18 older adults is a victim of financial fraud and scams. On the other hand, and , , consider the need to advance in the measurement of fraud, thus developing tools such as the Older Adult Financial Exploitation Measure (OAFEM) and the Lichtenberg Financial Decision Rating Scale (LFDRS) in order to evaluate the financial decision-making capacity and vulnerability of the elderly. tries to explain vulnerability to financial fraud by applying routine activity theory, which analyses how social isolation increases criminal opportunities, while identify demographic and cognitive factors as markers of susceptibility to fraud. review how changes in the brain and cognition increase the risk of abuse. Multidisciplinary collaboration is a key and essential component to protect seniors from exposure and victimization to fraud and financial exploitation, thus promoting their health and financial well-being.

5.1.3 Cluster 3 (blue network): risk factors and prevention strategies for financial exploitation

Assessing the demographic and cognitive characteristics that increase vulnerability to financial exploitation is critical to understanding the nature of elder abuse and developing conceptual models to guide the formulation of preventive strategies and intervention policies. identified risk factors such as gender, age, mental and physical health status and size of social support. However, according to , a correct differentiation of the types of elder abuse is essential for properly identifying these risk factors. suggest the implementation of case management involving frail and cognitively impaired elders, preventive education programmes and ongoing collaboration between adult protective services, financial institutions and law enforcement agencies, while suggest the development of policies and programmes based on a thorough understanding of elder abuse and financial exploitation, using conceptual frameworks to guide these initiatives. The relevance of formulating effective preventive strategies has been boarded in recent years by different initiatives: increasing collaboration between countries in different continents to address financial fraud in older people globally; developing international financial security standards; creating global awareness campaigns about the risks of financial fraud in older people; and establishing international cooperation mechanisms to investigate and combat transnational financial fraud affecting this population ().

5.2 Co-citation network of authors

state that the intellectual structure of a research stream can be expressed through a pattern of co-citations of authors from the bibliographic core of the field. The selection of articles cited 7,911 authors. 27 of them had a minimum of 50 citations. There are three significant clusters, as can be seen in . One of the most outstanding findings of this analysis is, again, the scarce presence of economic or business management perspectives in the analysis of financial fraud exploiting the elderly.

5.2.1 Cluster 1 (red network)

Authors such as Boyle, Lichtenberg, Giannouli and Han belong to the red cluster, sharing some areas of expertise such as the analysis of decision-making capacity, the elderly vulnerability to financial exploitation and the influence of cognitive impairment in financial fraud. Furthermore, authors such as DeLiema and Burnes study victimization and exposure to financial fraud exploiting the elderly. Thus, the authors included in this first cluster dedicate their efforts to the investigation of financial fraud from a psychological and neuropsychological perspective, focusing on the cognitive capacities of the elderly and their fragility in the face of possible fraud.

5.2.2 Cluster 2 (blue network)

In the second cluster, there are authors such as Acierno, Beach, Cooper and Dong who focus on the analysis of the risk factors involved in fraud and financial exploitation of the elderly, such as demographic features, contextual characteristics, social support, race, age, gender and personality traits. Likewise, some authors of this cluster such as Lachs and Pillemer have studied in detail the prevalence of financial fraud in the elderly. This analysis of the risk factors that cause the prevalence of fraud and financial exploitation should set the grounding for prevention policies.

5.2.3 Cluster 3 (green network)

Authors belonging to the green cluster focus on establishing a conceptual model and a theoretical framework to provide researchers and policy makers with clear guidance on financial fraud and financial exploitation of the elderly (Jackson, Payne, Fulmer). At the same time, Choi, Conrad, Rabiner and Wilber develop a series of preventive and response strategies for fraud cases, thus providing practical implications for protective services and financial and political institutions.

5.3 Co-citation network of journals

As can be observed in , articles about financial fraud exploiting the elderly are grounded on the publications of three kinds of journals.

The green cluster mostly includes sources related to gerontology and geriatrics (e.g. Gerontologist and the Journal of Applied Gerontology and Age and Ageing). Journal of Elder Abuse and Neglect stands out as the most cited one (1,188 citations), with the highest total link strength (12,767). As could be seen in the productivity analysis (), the research areas of gerontology and geriatrics are outstanding in the study of financial fraud and financial exploitation of the elderly, being much more prolific and holding a greater impact.

The blue cluster includes basically criminology/penology and family studies journals (e.g. the Journal of Interpersonal Violence), as well as social work journals (e.g. Journal of the American Geriatrics Society), caring mainly for the legal and social consequences of elder financial abuse. Finally, the red cluster includes mainly publications in the fields of psychology and psychiatry (e.g. Clinical Gerontologist, Psychology and Aging and the American Journal of Geriatric Psychiatry) and clinical neurology (e.g. Neurology), dealing with both the neurological antecedents and consequences of financial fraud exploiting the elderly.

Some journals included in this bibliometric analysis are included in multidisciplinary categories (e.g. Plos One), which shows the interconnection of disciplines of financial fraud exploiting the elderly and the need for more cooperation between researchers from different areas of knowledge. Also, the analysis of citations, journals and authors shows that none of the foundations of research on financial fraud in the elderly is finance or economic regulation. Once again, we must remark that the financial community should pay specific attention to this problem, especially regarding areas such as financial literacy and financial inclusion.

6. Thematic graph

The identification of emerging research themes and trends is essential for nations to establish strategic priorities, for companies to adapt to new business strategies and for institutions to focus on research areas (). In order to determine these trends, a co-word analysis and a bibliographic coupling study, as well as an analysis of the top 10 keywords, have been performed.

6.1 Co-occurrence network of keywords

The conceptual structure of financial fraud exploiting the elderly is developed in this section through a thematic map (). The co-word analysis found that one of the most prominent keywords is “United States” (67 occurrences and 366 total link strength), as many researchers in this field are based in this country and have conducted their studies through US surveys and databases. Despite the significant presence of American works in the field of study, it has been decided to eliminate “United States” as a keyword, as it cannot be directly linked to the intellectual structure of financial fraud in the elderly. Therefore, four different groups of keywords have been identified.

6.1.1 Cluster 1 (green network): types of elder abuse

In this first cluster, the most interconnected keywords within the thematic map stand out: “elder abuse” (250 occurrences and a total linking strength of 922) and “financial exploitation” (219 occurrences and a total linking strength of 918). Both are interconnected with the rest of the keywords. Financial exploitation, like physical and psychological abuse, is a form of elder abuse, which is often perpetrated by family members, intimate partners, caregivers or other people in care institutions. The study of the various types of elder abuse, together with the investigation of the associated risk factors, represents the core of the research in the field of financial fraud exploiting the elderly, constituting a consolidated topic amongst the scientific community. Physical abuse of the elderly, generally carried out by family members or caregivers, represents the origins of this field of study, being these keywords the oldest within the cluster.

6.1.2 Cluster 2 (yellow network): protecting older-adults from fraud

The second group of keywords focuses on safeguarding the elderly against fraud. Researchers adopt various approaches, such as the formulation of a conceptual framework to guide the development of effective preventive strategies against fraud, the establishment of protective services for adults or security intervention and regulations. The debate around legislation to regulate financial fraud exploiting the elderly has been widely discussed in the academic community, being “legislation” the most established and long-standing keyword in this cluster. However, there is a resurgence of this subtopic due to the digital transformation, as well as the increase of fraudulent activities, which poses new legislative challenges for politicians and academics.

6.1.3 Cluster 3 (blue network): cognitive and decision-making capacity in ageing

Blue cluster reveals cognitive and decision-making capacity in ageing as a relevant topic in the field. With research on elder abuse and financial exploitation firmly established, scholars have shifted their focus in recent years to the study of decision-making capacity throughout the life course and the ageing process, as well as the role that cognitive decline and conditions such as Alzheimer’s disease have on the financial capacity of older adults.

6.1.4 Cluster 4 (red network): variables influencing fraud victimization of older adults

“Older-adults” is revealed as the most important keyword in the cluster and the third of the whole thematic map (200 occurrences and 887 total link strength), followed by “fraud” (110 occurrences and 440 total link strength). The determinants of fraud victimization in the elderly constitute a highly relevant area of research in the scientific field. Factors such as social isolation, depressive symptomatology, lack of social support, deteriorating health or limited financial competence have a significant influence on the vulnerability of older adults to be victims of fraudulent activities. Vulnerability and financial literacy emerge as the most recent keywords in the context of this thematic map, highlighting the increased vulnerability of the older population, as well as the growing emphasis on financial education as a means to protect this segment of the population from potential financial scams, especially in the context of the digital transformation of traditional financial institutions and the banking industry.

6.2 Recent trends and future research directions

Bibliographic coupling is one of the most spread bibliometric techniques used to determine the trending topics inside a research stream (). Coupling takes place when two articles cite the same reference, showing a highly probable relationship between them, as they share the same theoretical groundings (). Bibliographic coupling is frequently used in dealing with the most recent literature, completing the information delivered by co-word analysis (; ).

A group of 107 articles published between 1/1/2022 and 4/15/2024, selected following the same strategy that had been used in previous sections to carry out the productivity and mapping analyses, has been the starting point to identify the most recent research trends dealing with financial fraud exploiting the elderly. Amongst this literature, shows the papers which have been cited at least 4 times, revealing the existence of five clusters which identify the hottest research trends.

The red cluster, the most populated one, includes 8 papers, which mainly try to find out the circumstances under which elder financial exploitation can be more frequent, which could lead to anticipate potential abuse conducts. The commonalities studied by the articles included in this cluster can be both external, related to the sociodemographic, environmental of familiar context; and personal features, related to the victim or the abuser. These studies have been published in journals related to gerontology or family counselling.

The most cited paper in this cluster, , compares financial abuse with other kinds of abuse, finding out that the prevalence of risk factors (physical or mental health problems, dependency, troublesome attitudes, previous victimization, substance abuse and cohabitation with the perpetrator) is lower in cases of financial abuse when it appears isolated and higher when it happens together with some other kinds of abuse. While co-habitation with the perpetrator and dependency are more frequently associated with non-financial abuse or combined financial and non-financial exploitation, mental health and cognitive problems appear typically in financial elder abuse, allowing the perpetrator to take advantage of the situation. The study of identifies up to 23 family configurations, considering both the number of victims and perpetrators and finds out that the family can act either as a shield against financial abuse or become a risk itself. The critical role of Adult Protective Services (APS) in reducing the prevalence of different kinds of abuse is studied by , finding that financial planning services are associated with financial abuse reduction. found out that elder adults with dementia have a higher risk of suffering financial abuse.

Comparing two groups of older adults, victimized and non-victimized of financial abuse, , showed that victims were less healthy, had poorer memory and executive functioning, had less social support and showed greater stress. Financial counselling after the abuse could help them to regain confidence and reduce their levels of stress. Some vulnerabilities detected by were loneliness, lower levels of education, poorer financial literacy and financial vulnerability. The lack of preparation to make financial decisions (so, a lower degree of financial literacy), along with family conflicts and attitudes of entitlement are also risk factors associated with financial exploitation of the eldest when it happens using powers of attorney (). Finally, assess the LFDRS, an evaluation tool that can be used to measure the ability of an individual to make financial decisions and, therefore, his/her risk of financial exploitation.

The green cluster gathers four papers, including two published by Giannouli, the most cited author in the last years. This literature is specifically associated with the cognitive condition of the victims of elder financial exploitation. Therefore, they have been published in medical journals associated with neurology.

The study of found a severe impairment of the financial decision-making capacity of patients of mild Alzheimer’s disease, being the arithmetic question included in one test, the Mini-Mental state examination, an adequate predictor of this capacity. The same research team found out that depression is clearly associated with a poorer financial decision-making capacity . point out that financial exploitation vulnerability can be an early behavioural manifestation of Alzheimer’s disease. Finally, found out that overconfidence in financial decision-making in healthy adults can lead to lower accuracy.

The yellow cluster includes four papers which deal with the association between objective (numerical) or subjective (based on feelings) age and financial exploitation vulnerability. Consequently, these studies have been published in journals belonging to the area of gerontology. Weissberger is the most important author on this topic, having published three papers since 2022.

Analysing the calls received by the National Center on Elder Abuse (NCEA), found out that, as had been reflected in the Introduction section of this paper, the change in the lifestyle brought by COVID-19 meant an increase in elder financial abuse. identified a higher financial vulnerability of people who subjectively felt older in the absence of social support. Ageism, which consists of the generalization of negative stereotypes against the eldest, can increase financial vulnerability, especially amongst those with an older subjective age . Finally, comparing the vulnerability considering different schemes, the eldest show a higher probability than younger people of being victimized by individuals pretending to need to raise funds to find a missing relative ().

The purple cluster includes just three papers related to external/societal factors that influence the degree of financial vulnerability of the eldest. Therefore, as an exception, the journals that have published these studies do not only deal with gerontology but also with consumer issues or even directly with economics.

In a study that differentiates between fraud exposure and fraud victimization after this exposure, find out that older age, lower income, higher debt, lower education and rural residency are associated with a lower risk of fraud exposure, but a higher risk of fraud victimization after exposure. associated financial fragility in community-dwelling older adults with a higher susceptibility to scams, being financial fragility in turn associated with lower levels of income, global cognition, general literacy and financial literacy. , in turn, analyse different kinds of scams, finding a higher vulnerability of lonely and socially isolated people.

Finally, the blue cluster includes four papers which analyse the situation after being bullied, as well as the different kinds of interventions which aim at preventing the financial victimization of the eldest. Consequently, this literature lays somewhere amongst gerontology and psychology, as it tries to develop the best possible actions to refrain the eldest from falling in scams, while being concerned about the feelings of previously abused people.

, the most cited paper of the sample, compare the feelings about the reasons for having been abused between Portuguese and British victimized older adults, finding out that Portuguese older adults felt mostly bullied due to their reduced decision-making capacity, lower attractive appearance and social skills and less financial resources, while British participants considered that the main reasons were their compromised learning capacity and asexuality. analysed the effects of general or specific (finance and driving) abilities’ training interventions, showing the later some effects in the short run compared with the control group, but these improvements do not stand along the time once they cease to receive further training. The study of focuses on the experience of the Vulnerable Elder Protection Team in the USA, which has revealed that some changes in the living environment, along with additional home support, can improve the degree of protection against financial fraud of the eldest. , in turn, analysed the data of the Canadian Longitudinal Study on Aging, which revealed the main risk and protective factors related to financial abuse of the eldest, helping to develop prevention and shield strategies.

7. Implications

This study provides a comprehensive overview of the field of financial fraud exploiting the elderly, presenting itself as a knowledge base for academics, policy makers and authorities and as a pathway to future research.

The proliferation of academic production in this field, as well as its multidisciplinary character, makes it difficult for researchers to be aware of all discoveries and findings, turning this paper into a key reference for any academic interested in this field. This section highlights the main implications of the study.

7.1 Academic implications

This paper contributes significantly to the expansion of the existing literature on financial fraud exploiting the elderly. By identifying and analysing trends, patterns and relationships among scientific publications, the theoretical knowledge base in the field of financial fraud is enriched.

The results of the present bibliometric analysis validate the observation of the growth of the academic literature on financial fraud exploiting the elderly. This fact is fundamentally due to the increasing dynamism of the financial sector, caused by the constant technological transformation and the low adaptability of elderly users. Therefore, this paper has revealed the consolidation of this topic, as a highly dynamic research stream with the continuous emergence of new variables, subtopics and factors to be examined.

As has been analysed, the concentration of publications within the same country and the same research area (USA and Gerontology and Geriatrics, respectively) is very high. As this is a topic that affects an increasingly large population segment globally, a broader view in its study, as well as greater cooperation between professionals from different countries and disciplines, are recommended. Business Economics stands out as a particularly underdeveloped area of research, considering that fraud and financial exploitation are economic issues.

In addition, emerging themes, and trends in the scientific literature, such as the relevance of financial literacy, vulnerability to fraud and psychological aspects such as depression and mental health linked to fraud victimization in the elderly, have been identified. These emerging trends arise as promising lines of future research.

7.2 Managerial implications

This study provides several guidelines for understanding the internal and external factors that influence financial fraud exploiting the elderly. Trends such as the importance of decision-making capacity or cognitive impairment, as well as the significance of social support after suffering fraudulent activities, provide a valuable research agenda for academics and research institutions to allocate their resources efficiently.

Similarly, the results of this bibliometric review provide information from several institutions, countries or research areas. Thus, financial institutions and authorities can emulate and adapt financial fraud security systems according to the characteristics of users, providing insights on strengths, weaknesses and opportunities for improvement in the fight against financial fraud and the financial protection of the elderly.

This bibliometric analysis has revealed a close interrelationship between the variables of financial inclusion, financial literacy and financial fraud, particularly in the context of older people. The findings of this study are in line with the recommendations of the OECD, which advocates the implementation of national financial literacy strategies. These strategies should be aligned with financial inclusion and consumer protection initiatives, thus promoting a comprehensive approach to consumer empowerment ().

Finally, the findings of this analysis can inform the strategic planning of government organizations and the development of policies to combat financial fraud exploiting the elderly. In this regard, more dynamic and adaptive legislation is needed, due to the incessant changes in the financial sector stemming from technological and digital innovation. Public institutions should be empowered, through additional resources and improved governance, in order to improve citizens’ protection against fraud (). The World Bank is already implementing different measures, such as strengthening the effectiveness and accountability of public institutions, establishing a new data centre and introducing risk management frameworks (). The growing prominence of financial fraud exploiting the elderly calls for robust international cooperation to effectively address this major issue.

7.3 Social implications

The impact of financial fraud and exploitation on society has several implications that are reflected in this study. This research helps to raise awareness among the academic community and financial institutions of the problems caused by financial fraud exploiting the elderly and the need to focus attention on this growing problem. Likewise, the findings of the analysis show the importance of promoting the autonomy and empowerment of the elderly, with the objective of maintaining their management and financial decision-making capacity for a longer period.

This review highlights the importance of strengthening the social support networks of the elderly, providing financial advice adapted to their needs, as well as personalized attention for those who have been victims of fraud. In addition, the involvement of financial institutions is fundamental, appealing to their corporate responsibility by developing practices that promote transparency, ethics and financial protection for their clients.

8. Conclusion and limitations

Financial scams have taken many forms, from manipulation and misrepresentation of financial documents and products to complex fraudulent investment schemes. In the digital age, criminals tend to use ICTs to achieve their fraudulent goals. Financial institutions and political authorities attempt to get permanently updated in order to detect and prevent digital financial fraud, as well as to protect citizens, businesses and governments. The elderly outstand as the group of the population that probably presents the clearest situation of exclusion and lack of protection.

The main goal of this bibliometric review is to provide a clear and comprehensive picture of the state of the art of literature on financial fraud exploiting the elderly, as well as to give an answer to the RQs. For this purpose, this study has conducted a performance analysis, which examines the evolution of this research line, and the most productive countries, institutions, authors, journals and research areas; and a science mapping analysis, which unravels the intellectual structure of financial fraud exploiting the elderly.

The evolution in the number of publications on financial fraud exploiting the elderly has accelerated notably, especially since 2018. The increase in fraudulent activities and the growing sophistication of these practices have made their detection and prevention more difficult, particularly for the most vulnerable users, such as the elderly. This abundant scientific production is mainly due to the contribution of institutions and authors from the USA, specialized in geriatrics, gerontology and psychiatry. Journals such as the Journal of Elder Abuse and Neglect and Gerontologist are among the most prolific in this field. Authors such as Lichtenberg, Boyle and Dong have made significant contributions to the literature on fraud and financial exploitation, standing out for the depth and impact of their research.

The conceptual structure of financial fraud exploiting the elderly reveals four major clusters: differentiation of types of elder abuse, protection of the elderly from fraud, cognitive and decision-making capacity in ageing and variables influencing fraud victimization of the elderly. The thematic evolution in this field of research reflects a transition from a general focus on elder abuse to a more precise delimitation of the theoretical framework of financial exploitation, as well as a detailed analysis of the variables that affect fraud victimization. The findings of this study reveal a robust, dynamic and evolving area of research that incorporates new variables and establishes the groundings for future research. This progression demonstrates not only the maturity of the field but also its ability to adapt and expand in order to address emerging challenges in the financial exploitation of the elderly.

Future research relating financial fraud to financial behaviour, financial capability and financial decision-making would be desirable to gain a better understanding of the problem. The influence of technology and digital innovations on financial fraud needs to be further analysed from different perspectives, such as regulation and legislation approach or the social responsibility of the financial sector in financial fraud of the elderly. The results of this study have important implications for banks and researchers, providing a set of guidelines for a more efficient allocation of resources and efforts. This study encourages international and interdisciplinary cooperation, promoting innovative research that contributes to the fight against financial fraud. In addition, it provides policymakers and legislators with a solid basis for designing and developing more effective fraud prevention strategies by identifying the main variables that influence this phenomenon. The significance of financial fraud in the elderly has numerous social consequences, and this article seeks to raise awareness of this problem among professionals and individuals. It also calls on the corporate responsibility of banks and financial institutions to protect their most vulnerable clients through transparent and ethical practices.

The Sustainability Development Goals (SDGs) specifically require the wellbeing of all people regardless of their age (SDG 3), as well as their social, economic and political inclusion (SDG 10). The achievement of both goals for the eldest should motivate practitioners and researchers to broaden their perspectives in order to address the implications of financial fraud exploiting the elderly.

This analysis presents limitations that should be considered. Firstly, even though we have used an adequate combination of keywords, some articles may have not specified any, so they would be missing from our selection. Furthermore, the use of a different research database could slightly modify the results obtained. Despite this, as it has been specified and justified, these issues do not reduce the representativity of the analysis carried out. This study can be deemed as the first systematic literature review on financial fraud in the elderly, providing a comprehensive, reliable and unbiased view of the research line through a bibliometric analysis of 434 research articles indexed in the WoS database.

A sustainable and fair society should show a deep concern about its weakest members, amongst which, due to different reasons, the eldest are frequently placed. Financial and marketing strategies need to be considered to ensure the financial well-being and protection of elderly customers. With this work, we hope to contribute to the proper development of this emerging research field, as well as to encourage scholars to engage and commit with this major social claim.

Figures

Selection process using PRISMA methodology

Figure 1

Selection process using PRISMA methodology

Evolution of the number of articles during the study period

Figure 2

Evolution of the number of articles during the study period

Co-citation network of documents in the field of financial fraud exploiting the elderly

Figure 3

Co-citation network of documents in the field of financial fraud exploiting the elderly

Co-citation network of authors in the field of financial fraud exploiting the elderly

Figure 4

Co-citation network of authors in the field of financial fraud exploiting the elderly

Co-citation network of journals in the field of financial fraud exploiting the elderly

Figure 5

Co-citation network of journals in the field of financial fraud exploiting the elderly

Co-occurrence network of keywords in the field of Financial Fraud Exploiting the Elderly

Figure 6

Co-occurrence network of keywords in the field of Financial Fraud Exploiting the Elderly

Bibliographic coupling

Figure 7

Bibliographic coupling

Bibliometric methods used to analyse the research topic

TechniquesObjectiveResearch questionsBibliometric methodAnalysis
Evaluative techniques: SCI-mat(1) To assess academic impact and relative influence: What has been the evolution of publications?Measures of productivityHistorical evolution of publications Distribution of articles by journal Distribution of articles by author Citation analysis Co-citations analysis: documents Co-citation analysis: authors Co-citation analysis: journals Co-word analysis
: What are the major journals, countries, institutions, authors and articles in this research stream?
Relational Techniques: VOS Viewer(2) To determine intellectual structure: What is the main research structure of financial fraud in older adults’ literacy research?Impact metrics Co-citation
(3) To identify thematic organization (4) To identify conceptual structure: What current research opportunities does this emerging research field offer?Co-occurrence
(5) To identify the hottest research trends: What current research opportunities does this emerging research field offer?Bibliographic coupling

Source(s): , p. 3). Authors’ own work

Author’s affiliation

AffiliationsCountryNumberPercentage (N/434)
Rush UniversityUnited States419.45%
Wayne State UniversityUnited States286.45%
University of Southern CaliforniaUnited States265.99%
State University System of FloridaUnited States214.84%
University of California SystemUnited States214.84%
Cornell UniversityUnited States194.38%
Weill Cornell MedicineUnited States153.46%
Bar Ilan UniversityIsrael133.00%
University of Minnesota Twin CitiesUnited States122.76%
University of Minnesota SystemUnited States122.76%
University of Illinois SystemUnited States122.76%

Source(s): Own elaboration. Authors’ own work

Most influential countries on the topic

CountryAmount of articles% de 434
USA30069.12%
United Kingdom286.45%
Canada286.45%
Australia276.22%
People’s Republic of China225.07%
Israel173.92%
Greece81.84%
Germany81.84%
Italy71.61%
Japan61.38%

Note(s): Note that the sum of the number of articles is higher than 434, the final sample, due to articles co-authored by authors from different countries

Source(s): Own elaboration. Authors’ own work

Most prolific journals on the topic

JournalArticlesIF (2022)/Area
Journal of Elder Abuse Neglect740.50 (JCI) Gerontology – SSCI (Q3)
Gerontologist211.73 (JCI) Gerontology (Q1)
Journal of Applied Gerontology180.80 (JCI) Gerontology (Q2)
Clinical Gerontologist140.72 (JCI) Gerontology (Q2) Geriatrics and Gerontology (Q3) Psychiatry (Q3)
Journal of Gerontological Social Work110.78 (JCI) Gerontology (Q2) Social Work (Q1)
Journal of Adult Protection110.43 (JCI) Social Work (Q4)
Generations-Journal of the American Society on Aging70.08 (JCI) Gerontology (Q4)
Journal of Interpersonal Violence71.33 (JCI) Criminology and Penology (Q2) Family Studies (Q2) Psychology, Applied (Q3)
Aging Mental Health70.78 (JCI) Geriatrics and Gerontology (Q3) Gerontology (Q2) Psychiatry (Q2)
Journal of the American Geriatrics Society71.47 (JCI) Geriatrics and Gerontology (Q1) Gerontology (Q1)

Source(s): Own elaboration. Authors’ own work

Most influential research areas on the topic

AreaArticles% (N/434)
Geriatrics Gerontology23955.07%
Psychology5312.21%
Psychiatry429.68%
Criminology Penology378.53%
Social Work337.60%
Business Economics235.30%
Neurosciences Neurology194.38%
Health Care Sciences Services184.15%
Family Studies163.69%
Government Law163.69%

Source(s): Own elaboration. Authors’ own work

Most prolific authors on the topic

RankAuthorsCountry of AuthorUniversity/InstitutionNumber of publications
1Lichtenberg PAUSAWayne State University26
2Boyle PAUSARush University19
3Dong XQUSARush University19
4Han SDUSAUniversity of Southern California15
5Bennett DAUSARush University15
6Yu LUSARush University15
7Deliema MUSAUniversity of Minnesota Twin Cities13
8Weissberger GHUSAUniversity of Southern California12
9Wilber KHUSAUniversity of Southern California12
10Mosqueda LUSAUniversity of Southern California11

Source(s): Own elaboration. Authors’ own work

Most frequently cited publications on the topic

RArticleAuthorsCountry (1st aut)PublicationIF(2022)/CategoriesCit WoS(C/Y) WoS
1Elder abuse as a risk factor for hospitalization in older personsUSAJAMA Internal Medicine4.75 (JCI) Medicine, General and Internal (Q1)18215.17
2Elder Abuse, Neglect and Exploitation: Risk Factors and Prevention StrategiesUSAJournal of Gerontological Social Work0.78 (JCI) Gerontology (Q2) Social Work (Q1)1265.04
3Correlates of Susceptibility to Scams in Older Adults Without DementiaUSAJournal of Elder Abuse Neglect0.50 (JCI) Gerontology (Q3)12111.00
4Is Elder Abuse and Neglect a Social Phenomenon? Data from the First National Prevalence Survey in IsraelIsraelJournal of Elder Abuse Neglect0.50 (JCI) Gerontology (Q3)1207.5
5Financial Exploitation and Psychological Mistreatment Among Older Adults: Differences Between African Americans and Non-African Americans in a Population-Based SurveyUSAGerontologist1.73 (JCI) Gerontology (Q1)1208.00
6Financial Exploitation of Older Adults: A Population-Based Prevalence StudyUSAJournal of General Internal Medicine1.40 (JCI) Health Care Science and Services (Q1) Medicine, General and Internal (Q1)1009.09
7Elder abuse and neglect in an Urban Chinese populationUSAJournal of Elder Abuse Neglect0.50 (JCI) Gerontology (Q3)995.50
8Victimization of persons by fraudUSACrime and Delinquency1.02 (JCI) Criminology and Penology (Q2)983.27
9Prevalence and correlates of elder mistreatment in South Carolina: The South Carolina elder mistreatment studyUSAJournal of Interpersonal Violence1.33 (JCI) Criminology and Penology (Q2) Family Studies (Q2) Psychology, Applied (Q3)956.79
10A Review on the Prevalence and Measurement of Elder Abuse in the CommunityMalaysiaTrauma Violence and Abuse1.50 (JCI) Criminology and Penology (Q1) Family Studies (Q1) Social Work (Q1)786.50

Source(s): Own elaboration. Authors’ own work

Herfindahl–Hirschman index (HHI)

Country4,960.18Very high concentration
Journal397.60Low concentration
Institution447.40Low concentration
Research Area3,529.59Very high concentration
Author303.63Low concentration

Source(s): Own elaboration. Authors’ own work

Credit authorship contribution statement: Conceptualization: Maria-Elena Lindez-Macarro. Visualization: Maria-Elena Lindez-Macarro, Rocío Gallego-Losada, Antonio Montero-Navarro and Jose-Luis Rodriguez-Sanchez. Writing – original draft preparation: Maria-Elena Lindez-Macarro. Supervision: Rocío Gallego-Losada, Antonio Montero-Navarro and Jose-Luis Rodriguez-Sanchez. Writing – review and editing. Maria-Elena Lindez-Macarro, Antonio Montero-Navarro, Rocío Gallego-Losada, Jose-Luis Rodriguez-Sanchez. Methodology. Antonio Montero-Navarro, Rocío Gallego-Losada and Jose-Luis Rodriguez-Sanchez. Validation: Maria-Elena Lindez-Macarro, Rocío Gallego-Losada and Antonio Montero-Navarro. Formal analysis: Maria-Elena Lindez-Macarro, Rocío Gallego-Losada and Antonio Montero-Navarro.

Conflicts of interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Author statement: The authors assert that this paper is a genuine collaboration of all authors and is not published or under consideration elsewhere.

Data availability: Data will be made available on request.

Compliance with ethical standards: We confirm that we have complied with ethical standards. This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

References

Acierno, R., Hernandez, M.A., Amstadter, A.B., Resnick, H.S., Steve, K., Muzzy, W. and Kilpatrick, D.G. (2010), “Prevalence and correlates of emotional, physical, sexual, and financial abuse and potential neglect in the United States: the national elder mistreatment study”, American Journal of Public Health, Vol. 100 No. 2, pp. 292-297, doi: 10.2105/ajph.2009.163089.

Agbo, J.F., Oyelere, S.S., Suhonen, J. and Tukiainen, M. (2021), “Scientific production and thematic breakthroughs in smart learning environments: a bibliometric analysis”, Smart Learn. Environ, Vol. 8 No. 1, pp. 1-25, doi: 10.1186/s40561-020-00145-4.

Ahmad, I., Iqbal, S., Naz, F., Jamil, S. and Haider, I. (2021), “Bibliometric analysis of financial risk management”, Journal of Contemporary issues in Business and Government, Vol. 27, pp. 1169-1181, doi: 10.47750/cibg.2021.27.05.078.

Alonso, M., Gutiérrez, E., Moral-Benito, E., Posada, D. and Tello-Casas, P. (2023), “Un repaso de las diversas iniciativas desplegadas a nivel nacional e internacional para hacer frente a los riesgos de exclusión financiera”, Banco de España, No. 2305, pp. 8-33, doi: 10.53479/29772.

Amstadter, A.B., Zajac, K., Strachan, M., Hernandez, M.A., Kilpatrick, D.G. and Acierno, R. (2011), “Prevalence and correlates of elder mistreatment in South Carolina: the South Carolina elder mistreatment study”, Journal of Interpersonal Violence, Vol. 26 No. 15, pp. 2947-2972, doi: 10.1177/0886260510390959.

Arner, D.W., Zetzsche, D.A., Buckley, R.P. and Barberis, J.N. (2019), “The identity challenge in finance: from analogue identity to digitized identification to digital KYC utilities”, European Business Organization Law Review, Vol. 20 No. 1, pp. 55-80, doi: 10.1007/s40804-019-00135-1.

Asif, M., Lodhi, R.N., Sarwar, F. and Ashfaq, M. (2023), “Dark side whitewashes the benefits of FinTech innovations: a bibliometric overview”, International Journal of Bank Marketing, Vol. 42 No. 1, pp. 113-132, doi: 10.1108/ijbm-10-2022-0438.

Bagheri, B., Azadi, H., Soltani, A. and Witlox, F. (2023), “Global city data analysis using SciMAT: a bibliometric review”, Environment, Development and Sustainability, Vol. 26 No. 6, pp. 15403-15427, doi: 10.1007/s10668-023-03255-4.

Barik, R. and Sharma, P. (2019), “Analyzing the progress and prospects of financial inclusion in India”, Journal of Public Affairs, Vol. 19 No. 4, doi: 10.1002/pa.1948.

Bartlett, R.P. (2015), “Do institutional investors value the rule 10b-5 private right of action? Evidence from investors' trading behavior following Morrison v. National Australia Bank Ltd”, The Journal of Legal Studies, Vol. 44 No. 1, pp. 183-227, doi: 10.1086/680992.

Beach, S.R., Schulz, R., Castle, N.G. and Rosen, J. (2010), “Financial exploitation and psychological mistreatment among older adults: differences between african Americans and Non-African Americans in a population-based survey”, The Gerontologist, Vol. 50 No. 6, pp. 744-757, doi: 10.1093/geront/gnq053.

Bonnie, R.J. and Wallace, R.B. (2003), “Elder mistreatment: abuse, neglect, and exploitation in an aging America”, in National Research Council (US) Panel to Review Risk and Prevalence of Elder Abuse and Neglect, National Academies Press (US), Washington DC, doi: 10.17226/10406.

Boyle, P.A., Yu, L., Wilson, R.S., Gamble, K., Buchman, A.S. and Bennett, D.A. (2012), “Poor decision making is a consequence of cognitive decline among older persons without Alzheimer's disease or mild cognitive impairment”, PLoS One, Vol. 7 No. 8, e43647, doi: 10.1371/journal.pone.0043647.

Braam, R.R., Moed, H.F. and van Raan, A.F.J. (1991), “Mapping of science by combined co‐citation and word analysis. 1. structural aspects”, Journal of the American Society for Information Science, Vol. 42 No. 4, pp. 233-251, doi: 10.1002/(SICI)1097-4571(199105)42:4<233::AID-ASI1>3.0.CO;2-I.

Bräutigam, M., Kempny, A., Radke, R., Baumgartner, H. and Diller, G. (2014), “Spatial and temporal overview of research in pediatric and congenital cardiology: trends and global challenges”, Pediatric Cardiology, Vol. 35 No. 6, pp. 1007-1019, doi: 10.1007/s00246-014-0889-3.

Buchak, G., Matvos, G., Piskorski, T. and Seru, A. (2018), “FinTech, regulatory arbitrage, and the rise of shadow banks”, Journal of Financial Economics, Vol. 130 No. 3, pp. 453-483, doi: 10.1016/j.jfineco.2018.03.011.

Burnes, D., Henderson, C.R., Sheppard, C., Zhao, R., Pillemer, K. and Lachs, M.S. (2017), “Prevalence of financial fraud and scams among older adults in the United States: a systematic review and meta-analysis”, American Journal of Public Health, Vol. 107 No. 8, pp. 13-21, doi: 10.2105/ajph.2017.303821.

Burnes, D., Pillemer, K., Rosen, T., Lachs, M.S. and McDonald, L. (2022), “Elder abuse prevalence and risk factors: findings from the Canadian Longitudinal Study on Aging”, Nature aging, Vol. 2 No. 9, pp. 784-795, doi: 10.1038/s43587-022-00280-2.

Callon, M., Courtial, J.P. and Laville, F. (1991), “Co-word analysis as a tool for describing the network of interactions between basic and technological research: the case of polymer chemsitry”, Scientometrics, Vol. 22 No. 1, pp. 155-205, doi: 10.1007/bf02019280.

Carbó-Valverde, S., Cuadros-Solas, P. and Rodríguez-Fernández, F. (2020), “A machine learning approach to the digitalization of bank customers: evidence from random and causal forests”, PLoS One, Vol. 15 No. 10, e0240362, doi: 10.1371/journal.pone.0240362.

Carè, R., Fatima, R. and Lévy, N. (2024), “Assessing the evolution of banking reputation literature: a bibliometric analysis”, International Journal of Bank Marketing, Vol. 42 No. 5, pp. 1059-1091, doi: 10.1108/ijbm-07-2023-0417.

Castriotta, M., Loi, M.C., Marku, E. and Naitana, L. (2018), “What's in a name? Exploring the conceptual structure of emerging organizations”, Scientometrics, Vol. 118 No. 2, pp. 407-437, doi: 10.1007/s11192-018-2977-2.

Chabowski, B.R., Mena, J.A. and Gonzalez-Padron, T.L. (2011), “The structure of sustainability research in marketing, 1958-2008: a basis for future research opportunities”, Journal of the Academy of Marketing Science, Vol. 39 No. 1, pp. 55-70, doi: 10.1007/s11747-010-0212-7.

Chan, A.C. and Stum, M.S. (2020), “The state of theory in elder family financial exploitation: a systematic review”, Journal Of Family Theory and Review, Vol. 12 No. 4, pp. 492-509, doi: 10.1111/jftr.12396.

Chan, A.C. and Stum, M.S. (2022), “A family systems perspective of elder family financial exploitation: examining family context profiles”, Journal of Applied Gerontology, Vol. 41 No. 4, pp. 945-951, doi: 10.1177/07334648211056927.

Cheng, L., Liu, F. and Yao, D.D. (2017), “Enterprise data breach: causes, challenges, prevention, and future directions”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 7 No. 5, e1211, doi: 10.1002/widm.1211.

Choi, N.G. and Mayer, J. (2000), “Elder abuse, neglect, and exploitation”, Journal of Gerontological Social Work, Vol. 33 No. 2, pp. 5-25, doi: 10.1300/j083v33n02_02.

Choi, N.G., Kulick, D.B. and Mayer, J. (1999), “Financial exploitation of elders: analysis of risk factors based on county adult protective services data”, Journal of Elder Abuse and Neglect, Vol. 10 Nos 3-4, pp. 39-62, doi: 10.1300/j084v10n03_03.

Cobo, M., López-Herrera, A., Herrera-Viedma, E. and Herrera, F. (2012), “SciMAT: a new science mapping analysis software tool”, Journal of the American Society for Information Science and Technology, Vol. 63 No. 8, pp. 1609-1630, doi: 10.1002/asi.22688.

Collado, A.M., Salgado-Sequeiros, J., Gómez-Rico, M., García, E.A. and De Maeyer, P. (2021), “Key themes in consumer financial services research from 2000 to 2020: a bibliometric and science mapping analysis”, International Journal of Bank Marketing, Vol. 39 No. 7, pp. 1446-1478, doi: 10.1108/ijbm-01-2021-0043.

Conrad, K.J., Iris, M., Ridings, J.W., Langley, K. and Wilber, K.H. (2010), “Self-report measure of financial exploitation of older adults”, The Gerontologist, Vol. 50 No. 6, pp. 758-773, doi: 10.1093/geront/gnq054.

Conrad, K.J., Iris, M., Ridings, J.W., Fairman, K.P., Rosen, A. and Wilber, K.H. (2011), “Conceptual model and map of financial exploitation of older adults”, Journal of Elder Abuse and Neglect, Vol. 23 No. 4, pp. 304-325, doi: 10.1080/08946566.2011.584045.

Corsini, F., Laurenti, R., Meinherz, F., Appio, F.P. and Mora, L. (2019), “The advent of practice theories in research on sustainable consumption: past, current and future directions of the field”, Sustainability, Vol. 11 No. 2, p. 341, doi: 10.3390/su11020341.

Cross, C. and Blackshaw, D. (2014), “Improving the police response to online fraud”, Vol. 9 No. 2, Policing, pp. 119-128, doi: 10.1093/police/pau044.

Cucinelli, D. and Soana, M.G. (2023), “Are financially illiterate individuals all the same? A study on incorrect and “do not know” answers to financial knowledge questions”, International Journal of Bank Marketing, Vol. 41 No. 4, pp. 697-726, doi: 10.1108/ijbm-06-2022-0251.

Deem, D.L. (2000), “Notes from the field: observations in working with the forgotten victims of personal financial crimes”, Journal of Elder Abuse and Neglect, Vol. 12 No. 2, pp. 33-48, doi: 10.1300/j084v12n02_05.

Deevy, M., Lucich, S. and Beals, M. (2012), “Scams, schemes and swindles”, financial fraud research center”, available at: http://longevity.stanford.edu/wp-content/uploads/2017/01/Scams-Schemes-Swindles-FINAL-On-Website.pdf

DeLiema, M. (2018), “Elder fraud and financial exploitation: application of routine activity theory”, The Gerontologist, Vol. 58 No. 4, pp. 706-718, doi: 10.1093/geront/gnw258.

DeLiema, M., Li, Y. and Mottola, G. (2023), “Correlates of responding to and becoming victimized by fraud: examining risk factors by scam type”, International Journal of Consumer Studies, Vol. 47 No. 3, pp. 1042-1059, doi: 10.1111/ijcs.12886.

Demir, A., Pesqué-Cela, V., Altunbas, Y. and Murinde, V. (2020), “FinTech, financial inclusion and income inequality: a quantile regression approach”, The European Journal of Finance, Vol. 28 No. 1, pp. 86-107, doi: 10.1080/1351847x.2020.1772335.

Didion, E., Perello-Marin, M.R., Catalá-Pérez, D. and Ambrosius, U. (2024), “Mapping the organizational socialization and onboarding literature: a bibliometric analysis of the field”, Cogent Business and Management, Vol. 11 No. 1, doi: 10.1080/23311975.2024.2337957.

Dobrokhleb, V. and Barsukov, V. (2017), “Demographic theories and the regional aspect of population ageing. economic and social changes: facts, trends, forecast”, Экономические и социальные перемены: факты, тенденции, прогноз, Vol. 6 No. 54, doi: 10.15838/esc.2017.6.54.6.

Dong, X. and Simon, M.A. (2013), “Elder abuse as a risk factor for hospitalization in older persons”, JAMA Internal Medicine, Vol. 173 No. 10, p. 911, doi: 10.1001/jamainternmed.2013.238.

Dong, X., Simon, M.A. and Gorbien, M. (2007), “Elder abuse and neglect in an urban Chinese population”, Journal of Elder Abuse and Neglect, Vol. 19 Nos 3-4, pp. 79-96, doi: 10.1300/j084v19n03_05.

Dong, A., Dou, J., Fu, Y., Zhang, R. and Xing, K. (2023), “Unraveling the evolution of landslide susceptibility: a systematic review of 30-years of strategic themes and trends”, Geocarto International, Vol. 38 No. 1, doi: 10.1080/10106049.2023.2256308.

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N. and Lim, W.M. (2021), “How to conduct a bibliometric analysis: an overview and guidelines”, Journal of Business Research, Vol. 133, pp. 285-296, doi: 10.1016/j.jbusres.2021.04.070.

Drew, J.M. (2013), “Cold, warm, warmer, hot! Locating financial literacy hot spots”, Journal of Financial Services Marketing, Vol. 18 No. 3, pp. 220-226, doi: 10.1057/fsm.2013.15.

Dufour, M.H. (2015), “Définitions et manifestations du phénomène de l’exploitation financière des personnes âgées”, Revue Generale de Droit, Vol. 44 No. 2, pp. 235-304, doi: 10.7202/1028137ar.

Fan, L. and Lei, S. (2023), “Financial well-being, family financial support and depression of older adults in China”, International Journal of Bank Marketing, Vol. 41 No. 6, pp. 1261-1281, doi: 10.1108/ijbm-05-2022-0214.

Fan, J.X. and Zhou, Y. (2021), “Understanding aging and consumer fraud victimization in the Chinese context: a two-stage conceptual approach”, Journal of Elder Abuse and Neglect, Vol. 33 No. 3, pp. 230-247, doi: 10.1080/08946566.2021.1937428.

Fan, J.X. and Zhou, Y. (2022), “Prevalence and risk factors of consumer financial fraud in China”, Journal of Family and Economic Issues, Vol. 43 No. 2, pp. 384-396, doi: 10.1007/s10834-021-09793-1.

Feng, Y., Zhu, Q. and Lai, K. (2017), “Corporate social responsibility for supply chain management: a literature review and bibliometric analysis”, Journal of Cleaner Production, Vol. 158, pp. 296-307, doi: 10.1016/j.jclepro.2017.05.018.

Fenton, L., Weissberger, G.H., Boyle, P.A., Mosqueda, L., Yassine, H.N., Nguyen, A.L., Lim, A.C. and Han, S.D. (2022), “Cognitive and neuroimaging correlates of financial exploitation vulnerability in older adults without dementia: implications for early detection of Alzheimer's disease”, Neuroscience and Biobehavioral Reviews, Vol. 140, 104773, doi: 10.1016/j.neubiorev.2022.104773.

Filatova, H., Tumpach, M., Reshetniak, Y., Lyeonov, S. and Vynnychenko, N. (2023), “‘Public policy and financial regulation in preventing and combating financial fraud: a bibliometric analysis’, Public and Municipal Finance”, Vol. 12 No. 1, pp. 48-61, doi: 10.21511/pmf.12(1).2023.05.

Flores, E.V. and Lichtenberg, P.A. (2023), “Cross-validation of the Lichtenberg financial decision rating scale”, Clinical Gerontologist, Vol. 46 No. 4, pp. 633-638, doi: 10.1080/07317115.2023.2196989.

Fraga Dominguez, S., Ozguler, B., Storey, J.E. and Rogers, M. (2022), “Elder abuse vulnerability and risk factors: is financial abuse different from other subtypes?”, Journal of Applied Gerontology, Vol. 41 No. 4, pp. 928-939, doi: 10.1177/07334648211036402.

Gallego-Losada, M., Montero-Navarro, A., García-Abajo, E. and Losada, R.G. (2023), “Digital financial inclusion. Visualizing the academic literature”, Research in International Business and Finance, Vol. 64, 101862, doi: 10.1016/j.ribaf.2022.101862.

Gálvez-Sánchez, F.J., Lara-Rubio, J., Verdú-Jóver, A.J. and Meseguer-Sánchez, V. (2021), “Research advances on financial inclusion: a bibliometric analysis”, Sustainability, Vol. 13 No. 6, p. 3156, doi: 10.3390/su13063156.

Giannouli, V. and Tsolaki, M. (2022), “Elder financial abuse and the COVID-19 pandemic: a call to action through training programmes?”, Psychiatriki, Vol. 33 No. 4, pp. 333-334, doi: 10.22365/jpsych.2022.090.

Giannouli, V., Stamovlasis, D. and Tsolaki, M. (2022), “Longitudinal study of depression on amnestic mild cognitive impairment and financial capacity”, Clinical Gerontologist, Vol. 45 No. 3, pp. 708-714, doi: 10.1080/07317115.2021.2017377.

Gomezelj, D.O. (2016), “A systematic review of research on innovation in hospitality and tourism”, International Journal of Contemporary Hospitality Management, Vol. 28 No. 3, pp. 516-558, doi: 10.1108/ijchm-10-2014-0510.

Gordon, L. (2018), “Assessment of smart watches for management of non-communicable diseases in the ageing population: a systematic review”, Geriatrics, Vol. 3 No. 3, p. 56, doi: 10.3390/geriatrics3030056.

Goyal, K. and Kumar, S. (2020), “Financial literacy: a systematic review and bibliometric analysis”, International Journal of Consumer Studies, Vol. 45 No. 1, pp. 80-105, doi: 10.1111/ijcs.12605.

Gray, N., Yoon, J.S., Charness, N., Boot, W.R., Roque, N.A., Andringa, R., Vitale, T. and Lewis, K.G. (2022), “Relative effectiveness of general versus specific cognitive training for aging adults”, Psychology and Aging, Vol. 37 No. 2, pp. 210-221, doi: 10.1037/pag0000663.

Greene, A.J. (2022), “Elder financial abuse and electronic financial instruments: present and future considerations for financial capacity assessments”, American Journal of Geriatric Psychiatry, Vol. 30 No. 1, pp. 90-106, doi: 10.1016/j.jagp.2021.02.045.

Gunderson, C.A. and Ten Brinke, L. (2022), “The connection between deception detection and financial exploitation of older (vs. young) adults”, Journal of Applied Gerontology, Vol. 41 No. 4, pp. 940-944, doi: 10.1177/07334648211049716.

Guo, L., Cheng, J.L. and Zhang, Z.S. (2022), “Mapping the knowledge domain of financial decision making: a scientometric and bibliometric study”, Frontiers in Psychology, Vol. 13, 1006412, doi: 10.3389/fpsyg.2022.1006412.

Hall, L., Campbell, R., Gross, E. and Lichtenberg, P.A. (2022a), “The impact of financial coaching on older adult victims of financial exploitation: a quasi-experimental research study”, Journal of Financial Counseling and Planning, Vol. 33 No. 1, pp. 66-78, doi: 10.1891/JFCP-20-00047.

Hall, L., Moray, J., Gross, E. and Lichtenberg, P.A. (2022b), “Financial stressors and resources associated with financial exploitation”, Innovation in Aging, Vol. 6 No. 2, igac010, doi: 10.1093/geroni/igac010.

Herrera-Franco, G., Montalván-Burbano, N., Mora-Frank, C. and Moreno-Alcívar, L. (2021), “Research in petroleum and environment: a bibliometric analysis in south America”, International Journal of Sustainable Development and Planning, Vol. 16 No. 6, pp. 1109-1116, doi: 10.18280/ijsdp.160612.

Hoffmann, A.O.I. and Birnbrich, C. (2012), “The impact of fraud prevention on bank‐customer relationships”, International Journal of Bank Marketing, Vol. 30 No. 5, pp. 390-407, doi: 10.1108/02652321211247435.

Hu, S. (2022), “Quantitative analysis of China's artificial intelligence technology patents”, Procedia Computer Science, Vol. 208, pp. 18-23, doi: 10.1016/j.procs.2022.10.004.

Huang, Y., Rose, P.W. and Hsu, C. (2015), “Citing a data repository: a case study of the protein data bank”, PLoS One, Vol. 10 No. 8, e0136631, doi: 10.1371/journal.pone.0136631.

Huang, L., Chen, X., Ni, X., Liu, J., Cao, X. and Wang, C. (2021), “Tracking the dynamics of co-word networks for emerging topic identification”, Technological Forecasting and Social Change, Vol. 170, 120944, doi: 10.1016/j.techfore.2021.120944.

Ikeda, C., Ouazzane, K., Yu, Q. and Hubenova, S. (2021), “New feature engineering framework for deep learning in financial fraud detection”, International Journal of Advanced Computer Science and Applications, Vol. 12 No. 12, pp. 10-21, doi: 10.14569/ijacsa.2021.0121202.

Ingale, K.K. and Paluri, R.A. (2020), “Financial literacy and financial behaviour: a bibliometric analysis”, Review of Behavioral Finance, Vol. 14 No. 1, pp. 130-154, doi: 10.1108/rbf-06-2020-0141.

Jackson, S.L. (2016), “A systematic review of financial exploitation measures in prevalence studies”, Journal of Applied Gerontology, Vol. 37 No. 9, pp. 1150-1188, doi: 10.1177/0733464816650801.

Jackson, S.L. and Hafemeister, T.L. (2011), “Risk factors associated with elder abuse: the importance of differentiating by type of elder maltreatment”, Violence and Victims, Vol. 26 No. 6, pp. 738-757, doi: 10.1891/0886-6708.26.6.738.

James, B.D., Boyle, P.A. and Bennett, D.A. (2014), “Correlates of susceptibility to scams in older adults without dementia”, Journal of Elder Abuse and Neglect, Vol. 26 No. 2, pp. 107-122, doi: 10.1080/08946566.2013.821809.

Jensen, R.I.T., Gerlings, J. and Ferwerda, J. (2024), “Do awareness campaigns reduce financial fraud?”, European Journal on Criminal Policy and Research, In press, doi: 10.1007/s10610-024-09573-1.

Jones, K.S., Armstrong, M.E., Tornblad, M.K. and Namin, A.S. (2020), “How social engineers use persuasion principles during vishing attacks”, Information and Computer Security, Vol. 29 No. 2, pp. 314-331, doi: 10.1108/ics-07-2020-0113.

Joo, S.H. and Koh, E. (2017), “Who is more vulnerable to financial fraud? Financial fraud and related factors”, Journal of Consumer Studies, Vol. 28 No. 4, pp. 89-114, doi: 10.35736/jcs.28.4.4.

Kamble, P.A., Mehta, A. and Rani, N. (2023), “Financial inclusion and digital financial literacy: do they matter for financial well-being?”, Social Indicators Research, Vol. 171 No. 3, pp. 777-807, doi: 10.1007/s11205-023-03264-w.

Kamchatova, E., Burlakov, V., Dzyurdzya, O.A. and Yeremyan, A. (2022), “The paradigm of innovative economic development: a new philosophy or the basis of evolution in the conditions of digitalization”, Deleted Journal, Vol. 2 No. 1, pp. 67-73, doi: 10.24234/wisdom.v2i1.766.

Kemp, S. (2020), “Fraud reporting in Catalonia in the Internet era: determinants and motives”, European Journal of Criminology, Vol. 19 No. 5, pp. 994-1015, doi: 10.1177/1477370820941405.

Kholidah, H., Hijriah, H.Y., Mawardi, I., Huda, N., Herianingrum, S. and Alkausar, B. (2022), “A bibliometric mapping of peer-to-peer lending research based on economic and business perspective”, Heliyon, Vol. 8 No. 11, e11512, doi: 10.1016/j.heliyon.2022.e11512.

Krzyminiewska, G. (2020), “Ethical dilemmas of the silver economy”, Ekonomia I Prawo, Vol. 19 No. 1, p. 61, doi: 10.12775/eip.2020.005.

Kumar, V.V. and Kumar, J.S. (2023), “Insights on financial literacy: a bibliometric analysis”, Managerial Finance, Vol. 49 No. 7, pp. 1169-1201, doi: 10.1108/mf-08-2022-0371.

Kumar, G., Muckley, C.B., Pham, L. and Ryan, D. (2018), “Can alert models for fraud protect the elderly clients of a financial institution?”, The European Journal of Finance, Vol. 25 No. 17, pp. 1683-1707, doi: 10.1080/1351847x.2018.1552603.

Kumar, S., Xiao, J.J., Pattnaik, D., Lim, W.M. and Rasul, T. (2021), “Past, present and future of bank marketing: a bibliometric analysis of International Journal of Bank Marketing (1983-2020)”, International Journal of Bank Marketing, Vol. 40 No. 2, pp. 341-383, doi: 10.1108/ijbm-07-2021-0351.

Lachs, M.S. (1998), “The mortality of elder mistreatment”, JAMA, Vol. 280 No. 5, p. 428, doi: 10.1001/jama.280.5.428.

Lachs, M.S., Williams, C., O'Brien, S., Hurst, L. and Horwitz, R. (1997), “Risk factors for reported elder abuse and neglect: a nine-year observational cohort study”, The Gerontologist, Vol. 37 No. 4, pp. 469-474, doi: 10.1093/geront/37.4.469.

Langley, P. and Leyshon, A. (2020), “The platform political economy of fintech: reintermediation, consolidation and capitalisation”, New Political Economy, Vol. 26 No. 3, pp. 376-388, doi: 10.1080/13563467.2020.1766432.

Laporte, J. and Muñoz-Repiso, J.M.C. (2024), “Energy consumption in higher education institutions: a bibliometric analysis focused on scientific trends”, Buildings, Vol. 14 No. 2, p. 323, doi: 10.3390/buildings140203234.

Laumann, E.O., Leitsch, S.A. and Waite, L.J. (2008), “Elder mistreatment in the United States: prevalence estimates from a nationally representative study”, Journals of Gerontology Series B: Psychological Sciences and Social Sciences, Vol. 63 No. 4, pp. 248-254, doi: 10.1093/geronb/63.4.s248.

Lee, K., Tang, W., Jones, S., Xu, L. and Cong, Z. (2020), “The money smart for older adults program: a qualitative study of the participants' financial well-being”, Journal of Gerontological Social Work, Vol. 64 No. 2, pp. 120-134, doi: 10.1080/01634372.2020.1814477.

Li, P., Li, Q. and Du, S. (2024), “Does digital literacy help residents avoid becoming victims of frauds? Empirical evidence based on a survey of residents in six provinces of east China”, International Review of Economics and Finance, Vol. 91, pp. 364-377, doi: 10.1016/j.iref.2024.01.056.

Lichtenberg, P.A., Stickney, L. and Paulson, D. (2013), “Is psychological vulnerability related to the experience of fraud in older adults?”, Clinical Gerontologist, Vol. 36 No. 2, pp. 132-146, doi: 10.1080/07317115.2012.749323.

Lichtenberg, P.A., Stoltman, J., Ficker, L.J., Iris, M. and Mast, B. (2015), “A person-centered approach to financial capacity assessment: preliminary development of a new rating scale”, Clinical Gerontologist, Vol. 38 No. 1, pp. 49-67, doi: 10.1080/07317115.2014.970318.

Lichtenberg, P.A., Sugarman, M.A., Paulson, D., Ficker, L.J. and Rahman-Filipiak, A. (2016), “Psychological and functional vulnerability predicts fraud cases in older adults: results of a longitudinal study”, Clinical Gerontologist, Vol. 39 No. 1, pp. 48-63, doi: 10.1080/07317115.2015.1101632.

Lichtenberg, P.A., Campbell, R., Hall, L. and Gross, E.Z. (2020), “Context matters: financial, psychological, and relationship insecurity around personal finance is associated with financial exploitation”, The Gerontologist, Vol. 60 No. 6, pp. 1040-1049, doi: 10.1093/geront/gnaa020.

Lim, H. and Letkiewicz, J. (2023), “Consumer experience of mistreatment and fraud in financial services: implications from an integrative consumer vulnerability framework”, Journal of Consumer Policy, Vol. 46 No. 2, pp. 109-135, doi: 10.1007/s10603-023-09535-w.

Liu, P.J., Hass, Z., Stratton, S.K., Conrad, K.M. and Conrad, K.J. (2022), “Examining adult protective services outcomes: services associated with the decrease of mistreatment differed by elder mistreatment type”, The Gerontologist, Vol. 62 No. 9, pp. 1359-1368, doi: 10.1093/geront/gnac040.

Liyanaarachchi, G., Deshpande, S. and Weaven, S. (2020), “Market-oriented corporate digital responsibility to manage data vulnerability in online banking”, International Journal of Bank Marketing, Vol. 39 No. 4, pp. 571-591, doi: 10.1108/ijbm-06-2020-0313.

López, A.U., Mateo, F., Navío-Marco, J., Martínez-Martínez, J.M., Gómez-Sanchís, J., Vila‐Francés, J. and Serrano-López, A.J. (2019), “Analysis of computer user behavior, security incidents and fraud using Self-Organizing Maps”, Computers and Security, Vol. 83, pp. 38-51, doi: 10.1016/j.cose.2019.01.009.

Lowenstein, A., Eisikovits, Z., Band-Winterstein, T. and Enosh, G. (2009), “Is elder abuse and neglect a social phenomenon? Data from the first National Prevalence Survey in Israel”, Journal of Elder Abuse and Neglect, Vol. 21 No. 3, pp. 253-277, doi: 10.1080/08946560902997629.

Maashi, M., Alabduallah, B.I. and Kouki, F. (2023), “Sustainable financial fraud detection using Garra Rufa fish optimization algorithm with ensemble deep learning”, Sustainability, Vol. 15 No. 18, 13301, doi: 10.3390/su151813301.

Mansour, A.Z., Ahmi, A., Popoola, O.M.J. and Znaimat, A.H.K.A. (2021), “Discovering the global landscape of fraud detection studies: a bibliometric review”, Journal of Financial Crime, Vol. 29 No. 2, pp. 701-720, doi: 10.1108/jfc-03-2021-0052.

Mao, X. and Liu, Y. (2022), “Relationship between socioeconomic conditions and financial fraud victimization among older adults in China: do financial literacy and financial attitudes matter?”, Research on Aging, Vol. 45 Nos 7-8, pp. 503-516, doi: 10.1177/01640275221132195.

Martyn, J. (1964), “Bibliographic coupling”, Journal of Documentation, Vol. 20 No. 4, p. 236, doi: 10.1108/eb026352.

Mason, M.C., Zamparo, G. and Pauluzzo, R. (2023), “Amidst technology, environment, and human touch. Understanding elderly customers in the bank retail sector”, International Journal of Bank Marketing, Vol. 41 No. 3, pp. 572-600, doi: 10.1108/ijbm-06-2022-0256.

Matei, A.C. and Aivaz, K.A. (2023), “A bibliometric analysis on fraud in accounting”, Ovidius University Annals, Economic Sciences Series, Vol. 23 No. 1, pp. 986-995, doi: 10.61801/OUAESS.2023.1.126.

McClurg, A.J. (2014), “Preying on the graying: a statutory presumption to prosecute elder financial exploitation”, Hastings Law Journal, Vol. 65 No. 4, pp. 1099-1143, available at: https://repository.uchastings.edu/hastings_law_journal

Migliavacca, M., Patel, R., Paltrinieri, A. and Goodell, J.W. (2022), “Mapping impact investing: a bibliometric analysis”, Journal of International Financial Markets, Institutions and Money, Vol. 81, 101679, doi: 10.1016/j.intfin.2022.101679.

Mishra, S. and Soni, D. (2020), “Smishing detector: a security model to detect smishing through sms content analysis and url behavior analysis”, Future Generation Computer Systems, Vol. 108, pp. 803-815, doi: 10.1016/j.future.2020.03.021.

Mogaji, E. (2023), “Redefining banks in the digital era: a typology of banks and their research, managerial and policy implications”, International Journal of Bank Marketing, Vol. 41 No. 7, pp. 1899-1918, doi: 10.1108/ijbm-06-2023-0333.

Mohd-Sulaiman, A.N. (2013), “Financial reporting failures, board's competency and effectiveness”, International Journal of Disclosure and Governance, Vol. 10 No. 2, pp. 155-174, doi: 10.1057/jdg.2013.5.

Mugume, R. and Bulime, E.W.N. (2022), “Post-COVID-19 recovery for African economies: lessons for digital financial inclusion from Kenya and Uganda”, African Development Review, Vol. 34 No. S1, pp. 161-176, doi: 10.1111/1467-8268.12652.

Mukherjee, D., Lim, W.M., Kumar, S. and Donthu, N. (2022), “Guidelines for advancing theory and practice through bibliometric research”, Journal of Business Research, Vol. 148, pp. 101-115, doi: 10.1016/j.jbusres.2022.04.042.

Muralidhar, S.H., Bossen, C. and O'Neill, J. (2019), “Rethinking financial inclusion: from access to autonomy”, Computer Supported Cooperative Work, Vol. 28 Nos 3-4, pp. 511-547, doi: 10.1007/s10606-019-09356-x.

Näsi, M., Danielsson, P. and Kaakinen, M. (2021), “Cybercrime victimisation and polyvictimisation in Finland—prevalence and risk factors”, European Journal on Criminal Policy and Research, Vol. 29 No. 2, pp. 283-301, doi: 10.1007/s10610-021-09497-0.

Nath, R.D. and Chowdhury, M.A.F. (2021), “Shadow banking: a bibliometric and content analysis”, Financial Innovation, Vol. 7 No. 1, 68, doi: 10.1186/s40854-021-00286-6.

Nguyen, N.T.H., Kim-Duc, N. and Freiburghaus, T.L. (2021), “Effect of digital banking-related customer experience on banks' financial performance during Covid-19: a perspective from Vietnam”, Journal of Asia Business Studies, Vol. 16 No. 1, pp. 200-222, doi: 10.1108/jabs-09-2020-0366.

Nugrahini, D.E. and Alfian, A.H. (2021), “The impact of Covid-19 pandemic on continuance adoption of mobile payments: a conceptual framework”, Complex, Intelligent and Software Intensive Systems, Vol. 278, pp. 338-346, doi: 10.1007/978-3-030-79725-6_33.

OECD (2023), “OECD/INFE 2023 international survey of adult financial literacy”, OECD Business and Finance Policy Papers, No. 39, OECD Publishing, Paris, doi: 10.1787/56003a32-en.

Oertzen, A. and Odekerken-Schröder, G. (2019), “Achieving continued usage in online banking: a post-adoption study”, International Journal of Bank Marketing, Vol. 37 No. 6, pp. 1394-1418, doi: 10.1108/ijbm-09-2018-0239.

Oget, Q. (2021), “When economic promises shape innovation and networks: a structural analysis of technological innovation in the silver economy”, Journal of Innovation Economics, Vol. 35 No. 2, pp. 55-80, doi: 10.3917/jie.pr1.0096b.

Owusu, G.M.Y., Koomson, T.A.A. and Donkor, G.N.A. (2023), “A scientometric analysis of the structure and trends in corporate fraud research: a 66-year review”, Journal of Financial Crime, Vol. 31 No. 3, pp. 629-651, doi: 10.1108/jfc-05-2023-0121.

Oxman, N. (2013), “Estafas informáticas a través de Internet: acerca de la imputación penal del «phishing» y el «pharming”, Revista de derecho (Valparaíso), Vol. 41, pp. 211-262, doi: 10.4067/s0718-68512013000200007.

Öztürk, O., Kocaman, R. and Kanbach, D.K. (2024), “How to design bibliometric research: an overview and a framework proposal”, Review of Managerial Science, Vol. 18 No. 11, pp. 3333-3361, doi: 10.1007/s11846-024-00738-0.

Page, M.J., McKenzie, J.E., Bossuyt, P.M., Boutron, I., Hoffmann, T.C., Mulrow, C.D., Shamseer, L., Tetzlaff, J.M., Akl, E.A., Brennan, S.E., Chou, R., Glanville, J., Grimshaw, J.M., Hróbjartsson, A., Lalu, M.M., Li, T., Loder, E.W., Mayo-Wilson, E., McDonald, S., McGuinness, L.A., Stewart, L.A., Thomas, J., Tricco, A.C., Welch, V.A., Whiting, P. and Moher, D. (2021), “The PRISMA 2020 statement: an updated guideline for reporting systematic reviews”, BMJ, Vol. 71, p. n71, doi: 10.1136/bmj.n71.

Pandiya, B. and Yadav, P. (2023), “‘Financial fraud in the age of FinTech’, En Advances in finance, accounting, and economics book series”, pp. 86-100, doi: 10.4018/979-8-3693-0008-4.ch005.

Panos, G.A. and Wilson, J.O.S. (2020), “Financial literacy and responsible finance in the FinTech era: capabilities and challenges”, The European Journal of Finance, Vol. 26 Nos 4-5, pp. 297-301, doi: 10.1080/1351847x.2020.1717569.

Patel, R., Migliavacca, M. and Oriani, M.E. (2022), “Blockchain in banking and finance: a bibliometric review”, Research in International Business and Finance, Vol. 62, 101718, doi: 10.1016/j.ribaf.2022.101718.

Paul, J. and Menzies, J. (2023), “Developing classic systematic literature reviews to advance knowledge: dos and don’ts”, European Management Journal, Vol. 41 No. 6, pp. 815-820, doi: 10.1016/j.emj.2023.11.006.

Peterson, J.C., Burnes, D.P., Caccamise, P.L., Mason, A., Henderson, C.R., Wells, M.T., Berman, J., Cook, A.M., Shukoff, D., Brownell, P., Powell, M., Salamone, A., Pillemer, K.A. and Lachs, M.S. (2014), “Financial exploitation of older adults: a population-based prevalence study”, Journal of General Internal Medicine, Vol. 29 No. 12, pp. 1615-1623, doi: 10.1007/s11606-014-2946-2.

Pillemer, K., Burnes, D., Riffin, C. and Lachs, M.S. (2016), “Elder abuse: global situation, risk factors, and prevention strategies”, The Gerontologist, Vol. 56, Suppl 2, pp. 194-205, doi: 10.1093/geront/gnw004.

Pinochet, L.H.C., Diogo, G.T., Lopes, E.L., Herrero, E. and Bueno, R.L.P. (2019), “Propensity of contracting loans services from FinTech's in Brazil”, International Journal of Bank Marketing, Vol. 37 No. 5, pp. 1190-1214, doi: 10.1108/ijbm-07-2018-0174.

Podsakoff, P.M., MacKenzie, S.B., Bachrach, D.G. and Podsakoff, N.P. (2005), “The influence of management journals in the 1980s and 1990s”, Strategic Management Journal, Vol. 26 No. 5, pp. 473-488, doi: 10.1002/smj.454.

Priya, G.J. and Saradha, S. (2021), “Fraud detection and prevention using machine learning algorithms: a review”, 7th International Conference on Electrical Energy Systems (ICEES), pp. 564-568, doi: 10.1109/icees51510.2021.9383631.

Qi, H., Yang, K. and Wang, W. (2022), “Does FinTech change the market power of traditional banks in China?”, Journal of Business Economics and Management, Vol. 23 No. 5, pp. 1060-1083, doi: 10.3846/jbem.2022.17184.

Qureshi, F., Rea, S.C. and Johnson, K.N. (2021), “Crediting claims of financial inclusion: the integration of artificial intelligence in consumer credit markets in the United States and Kenya”, Journal of International and Comparative Law, Vol. 8 No. 2, pp. 405-433, available at: https://www.webofscience.com/wos/alldb/full-record/WOS:000734552100005

Rabiner, D.J., O'Keeffe, J. and Brown, D. (2004), “A conceptual framework of financial exploitation of older persons”, Journal of Elder Abuse and Neglect, Vol. 16 No. 2, pp. 53-73, doi: 10.1300/j084v16n02_05.

Ramos-Rodríguez, A. and Ruíz-Navarro, J. (2004), “Changes in the intellectual structure of strategic management research: a bibliometric study of the Strategic Management Journal”, Strategic Management Journal, Vol. 25 No. 10, pp. 981-1004, 1980-2000, doi: 10.1002/smj.397.

Randhawa, K., Wilden, R. and Hohberger, J. (2016), “A bibliometric review of open innovation: setting a research agenda”, Journal of Product Innovation Management, Vol. 33 No. 6, pp. 750-772, doi: 10.1111/jpim.12312.

Ratzinger-Sakel, N.V.S. and Tiedemann, T. (2022), “Fraud in accounting and audit research (1926-2019) – a bibliometric analysis”, Accounting History Review, Vol. 32 Nos 2-3, pp. 97-143, doi: 10.1080/21552851.2022.2143827.

Reshetnikova, L., Boldyreva, N., Perevalova, M., Kalayda, S. and Pisarenko, Z. (2021), “Conditions for the growth of the “silver economy” in the context of sustainable development goals: peculiarities of Russia”, Journal of Risk and Financial Management, Vol. 14 No. 9, p. 401, doi: 10.3390/jrfm14090401.

Reurink, A. (2018), “Financial fraud: a literature review”, Journal of Economic Surveys, Vol. 32 No. 5, pp. 1292-1325, doi: 10.1111/joes.12294.

Rhoades, S.A. (1993), “The herfindahl-hirschman index”, Federal Reserve Bulletin, Vol. 79, pp. 188-189.

Ries, N.M. (2022), “Enduring powers of attorney and financial exploitation of older people: a conceptual analysis and strategies for prevention”, Journal of Aging and Social Policy, Vol. 34 No. 3, pp. 357-374, doi: 10.1080/08959420.2019.1704143.

Rogers, M.M., Storey, J.E. and Galloway, S. (2023), “Elder mistreatment and dementia: a comparison of people with and without dementia across the prevalence of abuse”, Journal of Applied Gerontology, Vol. 42 No. 5, pp. 909-918, doi: 10.1177/07334648221145844.

Romānova, I. and Kudinska, M. (2016), “Banking and FinTech: a challenge or opportunity?”, Contemporary Issues in Finance: Current Challenges from Across Europe, Bingley, Vol. 98, pp. 21-35, doi: 10.1108/S1569-375920160000098002.

Rosen, T., Elman, A., Clark, S., Gogia, K., Stern, M.E., Mulcare, M.R., Makaroun, L.K., Gottesman, E., Baek, D., Pearman, M., Sullivan, M., Brissenden, K., Shaw, A., Bloemen, E.M., LoFaso, V.M., Breckman, R., Pillemer, K., Sharma, R. and Lachs, M.S. (2022), “Vulnerable elder protection team: initial experience of an emergency department-based interdisciplinary elder abuse program”, Journal of the American Geriatrics Society, Vol. 70 No. 11, pp. 3260-3272, doi: 10.1111/jgs.17967.

Rouzet, D., Caldera, A., Renault, T. and Roehn, O. (2019), “Fiscal challenges and inclusive growth in ageing societies”, in OECD Economic Policy Papers, OECD Publishing, Vol. 27, doi: 10.1787/c553d8d2-en.

Sabando-Vera, D., Yonfa-Medranda, M., Montalván-Burbano, N., Albors-Garrigos, J. and Parrales-Guerrero, K. (2022), “Worldwide research on open innovation in SMEs”, Journal of Open Innovation, Vol. 8 No. 1, p. 20, doi: 10.3390/joitmc8010020.

Sánchez-Camacho, C., Martín‐Consuegra, D. and Carranza, R. (2020), “An analysis of the scientific literature produced on bank marketing through bibliometrics and scientific mapping – what has been the role of sales in banking?”, International Journal of Bank Marketing, Vol. 39 No. 6, pp. 927-954, doi: 10.1108/ijbm-06-2020-0336.

Sandhu, S. and Arora, S. (2020), “Customers' usage behaviour of e-banking services: interplay of electronic banking and traditional banking”, International Journal of Finance and Economics, Vol. 27 No. 2, pp. 2169-2181, doi: 10.1002/ijfe.2266.

Sarrab, M., Alalwan, N., Alzahrani, A. and Kordestani, M. (2014), “Cybercrime investigation challenges: middle east and north Africa”, Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations, Vol. 70, pp. 203-223, doi: 10.1007/978-3-662-43616-5_8.

Schmidt-Jessa, K. (2022), “The impact of COVID-19 on digital-only banks: are they winners or losers?”, Journal of Banking Regulation, Vol. 24 No. 3, pp. 310-320, doi: 10.1057/s41261-022-00198-0.

Schueffel, P. (2017), “Taming the beast: a scientific definition of fintech”, Journal of Innovation Management, Vol. 4 No. 4, pp. 32-54, doi: 10.24840/2183-0606_004.004_0004.

Schwartz, J., Steffensmeier, D.J., Moser, W.J. and Beltz, L. (2021), “Financial prominence and financial conditions: risk factors for 21st Century corporate financial securities fraud in the United States”, Justice Quarterly, Vol. 39 No. 3, pp. 612-641, doi: 10.1080/07418825.2020.1853799.

Shahana, T., Lavanya, V. and Bhat, A.R. (2023), “State of the art in financial statement fraud detection: a systematic review”, Technological Forecasting and Social Change, Vol. 192, 122527, doi: 10.1016/j.techfore.2023.122527.

Sharma, S. and Kalra, S. (2016), “A comparative analysis of phishing detection and prevention techniques”, International Journal of Grid and Distributed Computing, Vol. 9 No. 8, pp. 371-384, doi: 10.14257/ijgdc.2016.9.8.32.

She, L., Waheed, H., Lim, W.M. and E-Vahdati, S. (2022), “Young adults' financial well-being: current insights and future directions”, International Journal of Bank Marketing, Vol. 41 No. 2, pp. 333-368, doi: 10.1108/ijbm-04-2022-0147.

Singh, D. and Malik, G. (2022), “A systematic and bibliometric review of the financial well-being: advancements in the current status and future research agenda”, International Journal of Bank Marketing, Vol. 40 No. 7, pp. 1575-1609, doi: 10.1108/ijbm-06-2021-0238.

Singh, S., Sahni, M.M. and Kovid, R.K. (2020), “What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model”, Management Decision, Vol. 58 No. 8, pp. 1675-1697, doi: 10.1108/md-09-2019-1318.

Sodokin, K., Koriko, M., Lawson, D.H. and Couchoro, M.K. (2022), “Digital transformation, banking stability, and financial inclusion in Sub‐Saharan Africa”, Strategic Change, Vol. 31 No. 6, pp. 623-637, doi: 10.1002/jsc.2531.

Soltani, M., Kythreotis, A. and Roshanpoor, A. (2023), “Two decades of financial statement fraud detection literature review; combination of bibliometric analysis and topic modelling approach”, Journal of Financial Crime, Vol. 30 No. 5, pp. 1367-1388, doi: 10.1108/jfc-09-2022-0227.

Sooryanarayana, R., Choo, W. and Hairi, N.N. (2013), “A review on the prevalence and measurement of elder abuse in the community”, Trauma, Violence, and Abuse, Vol. 14 No. 4, pp. 316-325, doi: 10.1177/1524838013495963.

Spreng, R.N., Karlawish, J. and Marson, D.C. (2016), “Cognitive, social, and neural determinants of diminished decision-making and financial exploitation risk in aging and dementia: a review and new model”, Journal of Elder Abuse and Neglect, Vol. 28 Nos 4-5, pp. 320-344, doi: 10.1080/08946566.2016.1237918.

Stewart, H. and Jürjens, J. (2018), “Data security and consumer trust in FinTech innovation in Germany”, Information and Computer Security, Vol. 26 No. 1, pp. 109-128, doi: 10.1108/ICS-06-2017-0039.

Sunderaraman, P., Chapman, S., Barker, M.S. and Cosentino, S. (2022), “Self-awareness for financial decision-making abilities in healthy adults”, PLoS One, Vol. 15 No. 7, e0235558, doi: 10.1371/journal.pone.0235558.

Sur, A., DeLiema, M., Vock, D.M., Boyle, P. and Yu, L. (2023), “A microsimulation of well-being and literacy interventions to reduce scam susceptibility in older adults”, Journal of Applied Gerontology, Vol. 42 No. 12, pp. 2360-2370, doi: 10.1177/07334648231196850.

Titus, R.M., Heinzelmann, F. and Boyle, J.M. (1995), “Victimization of persons by fraud”, Crime and Delinquency, Vol. 41 No. 1, pp. 54-72, doi: 10.1177/0011128795041001004.

United States Census Bureau (2022), “The country's population is aging and becoming more diverse”, available at: https://www.census.gov/newsroom/press-releases/2022/population-estimates-characteristics/population-estimates-characteristics-spanish.html

Van Eck, N.J. and Waltman, L. (2014), “Visualizing bibliometric networks”, in Ding, Y., Rousseau, R. and Wolfram, D. (Eds), Measuring Scholarly Impact, Springer, pp. 285320, doi: 10.1007/978-3-319-10377-8_13.

Van Raan, A.F.J. (2005), “Measuring science”, in Handbook of Quantitative Science and Technology Research, Kluwer Academic, Dordrecht, pp. 19-50.

Varga, D. (2017), “FinTech, the new era of financial services”, Budapest Management Review, Vol. 48 No. 11, pp. 22-32, doi: 10.14267/veztud.2017.11.03.

Von Humboldt, S., Ribeiro-Gonçalves, J.A. and Leal, I. (2022), “Bullying in old age: a qualitative study on older adults' perceptions about being bullied”, Journal of Interpersonal Violence, Vol. 37 Nos 5-6, pp. 2896-2919, doi: 10.1177/0886260520943709.

Weissberger, G. and Bergman, Y.S. (2022), “The association between subjective age and financial exploitation vulnerability among older adults: the moderating role of social support”, Journal of Elder Abuse and Neglect, Vol. 34 No. 4, pp. 314-324, doi: 10.1080/08946566.2022.2108181.

Weissberger, G.H., Lim, A.C., Mosqueda, L., Schoen, J., Axelrod, J., Nguyen, A.L., Wilber, K.H., Esquivel, R.S. and Han, S.D. (2022), “Elder abuse in the COVID-19 era based on calls to the National Center on Elder Abuse resource line”, BMC Geriatrics, Vol. 22 No. 1, p. 689, doi: 10.1186/s12877-022-03385-w.

Weissberger, G., Bergman, Y.S. and Shrira, A. (2023), “The association between ageist attitudes, subjective age, and financial exploitation vulnerability among older adults”, Journal of Applied Gerontology, Vol. 42 No. 6, pp. 1267-1273, doi: 10.1177/07334648221132130.

WHO, World Health Organization (2022), “‘WHO policy on prevention, detection and response to fraud and corruption’, Office of compliance, risk management and ethics, note number 12/2022”, available at: https://www.who.int/publications/m/item/who-policy-on-prevention--detection-and-response-to-fraud-and-corruption

World Bank Open Data (2022), “World Bank open data”, available at: https://datos.bancomundial.org/indicator/SP.POP.65UP.TO.ZS?locations=US

World Bank (2023), “World Bank annual report 2023”, Washington, DC, World Bank, doi: 10.1596/AR2023EN.

Worthington, S. (2009), “Debit cards and fraud”, International Journal of Bank Marketing, Vol. 27 No. 5, pp. 400-402, doi: 10.1108/02652320910979906.

Xiao, J.J., Huang, J., Goyal, K. and Kumar, S. (2022), “Financial capability: a systematic conceptual review, extension and synthesis”, International Journal of Bank Marketing, Vol. 40 No. 7, pp. 1680-1717, doi: 10.1108/ijbm-05-2022-0185.

Xu, L., Wang, J., Xu, D. and Xu, L. (2022), “Integrating individual factors to construct recognition models of consumer fraud victimization”, International Journal of Environmental Research and Public Health, Vol. 19 No. 1, p. 461, doi: 10.3390/ijerph19010461.

Yadav, M. and Banerji, P. (2023), “A bibliometric analysis of digital financial literacy”, American Journal of Business, Vol. 38 No. 3, pp. 91-111, doi: 10.1108/ajb-11-2022-0186.

Yao, L. and Yang, X. (2022), “Can digital finance boost SME innovation by easing financing constraints? Evidence from Chinese GEM-listed companies”, PLoS One, Vol. 17 No. 3, e0264647, doi: 10.1371/journal.pone.0264647.

Yu, S. and Rha, J. (2021), “Research trends in accounting fraud using network analysis”, Sustainability, Vol. 13 No. 10, p. 5579, doi: 10.3390/su13105579.

Yu, L., Mottola, G., Barnes, L.L., Valdes, O., Wilson, R.S., Bennett, D.A. and Boyle, P.A. (2022a), “Financial fragility and scam susceptibility in community dwelling older adults”, Journal of Elder Abuse and Neglect, Vol. 34 No. 2, pp. 93-108, doi: 10.1080/08946566.2022.2070568.

Yu, S.J., Kuo, C.T. and Tseng, Y.C. (2022b), “Association of financial literacy and risk preference with fraud exposure and victimization among middle-aged and older adults in China”, Journal of Applied Gerontology, Vol. 42 No. 1, pp. 89-98, doi: 10.1177/07334648221121775.

Zainuldin, M.H. and Lui, T.K. (2021), “A bibliometric analysis of CSR in the banking industry: a decade study based on Scopus scientific mapping”, International Journal of Bank Marketing, Vol. 40 No. 1, pp. 1-26, doi: 10.1108/ijbm-04-2020-0178.

Zupic, I. and Čater, T. (2015), “Bibliometric methods in management and organization”, Organizational Research Methods, Vol. 18 No. 3, pp. 429-472, doi: 10.1177/1094428114562629.

Further reading

Navarro, A.E., Gassoumis, Z.D. and Wilber, K.H. (2013), “Holding abusers accountable: an elder abuse forensic center increases criminal prosecution of financial exploitation”, The Gerontologist, Vol. 53 No. 2, pp. 303-312, doi: 10.1093/geront/gns075.

World Bank Group (2021), “World Bank staff estimates based on age/sex distribution from the united nations population division's world population prospects”, available at: https://datos.bancomundial.org/indicador/SP.POP.65UP.TO.ZS

Corresponding author

José-Luis Rodríguez-Sánchez can be contacted at: joseluis.rodriguez.sanchez@urjc.es

Related articles