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The ongoing evolution of the Internet and the subsequent digitalisation of financial services, along with the ever-increasing innovation of financial products, have rendered consumers more vulnerable to a wider range of fraud in the banking sector and, particularly, to consumer financial fraud (CFF). This paper aims to analyse the factors that may contribute to CFF exposure and victimisation among Spaniards, with a special focus on financial literacy.

This paper provides a comprehensive overview of leading publications on the topic, followed by empirical analyses using regression models with a sample of 6,207 Spanish individuals drawn from the Survey of Financial Competences.

Objective and subjective financial knowledge are positively correlated with CFF exposure via email but do not protect against CFF victimisation. Similarly, financial knowledge overconfidence is positively related to the former but fails to constitute a driver of the latter. Financial inclusion, measured by the number of financial products held, not only increases the risk of this exposure but also contributes to its subsequent victimisation.

To the best of the authors' knowledge, no previous paper has analysed the relationship between CFF and financial literacy by differentiating two types of vulnerabilities to fraud (exposure and victimisation) while considering different constructs of financial literacy. Dissecting these two domains may explain why the same financial literacy construct can have different effects at both stages of financial fraud and, furthermore, how different financial literacy constructs may affect the same stage of financial fraud.

This study aims to analyse the relationship between a patent’s network position in a knowledge search network and the likelihood and speed of patent transactions. Additionally, it explores whether patent scope moderates these relationships.

In this empirical study, the authors collected a sample of patents in the artificial intelligence industry over the period of 1985–2018. Then, the authors examined the direct roles of degree centrality, betweenness centrality and closeness centrality on the likelihood and speed of patent transactions and the moderating role of patent scope in the knowledge search network using the logit and accelerated failure time models.

The findings reveal that degree centrality positively affects both the likelihood and speed of patent transactions, while betweenness centrality enhances the likelihood, and closeness centrality significantly boosts both. However, regarding the speed of patent transactions, closeness centrality is the most impactful, followed by degree centrality, with no significant influence of betweenness centrality. Additionally, the patent scope moderates how betweenness centrality affects the likelihood of transactions.

This study has limitations owing to its exclusive use of data from the Chinese Intellectual Property Office, lack of visibility of the confidential terms of most patent transactions, omission of transaction directionality and focus on a single industry, potentially restricting the breadth and applicability of the findings. In the future, expanding the data set and industries and combining qualitative research methods may be considered to further explore the content of this study.

This study has practical implications for developing a better understanding of how network structure in the knowledge search network affects the likelihood and speed of patent transactions as well as the identification of high-value patents. These findings suggest future directions for patent holders and policymakers to manage and optimise patent portfolios.

This study expands the application boundaries of social network theory and the knowledge-based view by conducting an in-depth analysis of how the position characteristics of patents within the knowledge search network influence their potential and speed of transactions in the technology market. Moreover, it provides a theoretical reference for evaluating patent value and identifying high-quality patents by quantifying network positions. Furthermore, the authors construct three centrality measures and explore the development of patent transactions, particularly within the context of the developing country.

A “state-driven” approach suggests that colonists use census categories to rule. However, a “society-driven” approach suggests that this state-driven perspective confers too much power upon states. A third approach views census-taking and official categorization as a product of state–society interaction that depends upon: (a) the population's lay categories, (b) information intellectuals' ability to take up and transform these lay categories, and (c) the balance of power between social and state actors. We evaluate the above positions by analyzing official records, key texts, travelogues, and statistical memoirs from three key periods in India: Indus Valley civilization through classical Gupta rule (ca. 3300 BCE–700 CE), the “medieval” period (ca. 700–1700 CE), and East India Company (EIC) rule (1757–1857 CE), using historical narrative. We show that information gathering early in the first period was society driven; however, over time, a strong interactive pattern emerged. Scribes (information intellectuals) increased their social status and power (thus, shifting the balance of power) by drawing on caste categories (lay categories) and incorporating them into official information gathering. This intensification of interactive information gathering allowed the Mughals, the EIC, and finally British direct rule officials to collect large quantities of information. Our evidence thus suggests that the intensification of state–society interactions over time laid the groundwork for the success of the direct rule British censuses. It also suggests that any transformative effect of these censuses lay in this interactive pattern, not in the strength of the British colonial state.

The purpose of this study is to establish a synthetic group decision framework based on the Pythagorean fuzzy (PF) set to select the optimal medicine cold chain logistics provider (MCCLP). Fierce market competition makes enterprises must constantly improve every link in the process of enterprise sustainable development. The evaluation of MCCLP in pharmaceutical enterprises is an important link to enhance the comprehensive competitiveness. Because of the fuzziness of expert cognition and the complexity of the decision procedure, PF set can effectively handle the uncertainty and ambiguity in the process of multi-criteria group decision decision-making (MCGDM).

This paper develops an integrated group decision framework through combining the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique and combined compromise solution (CoCoSo) approach to select a satisfactory MCCLP within PF circumstances. First, the PF set is used to process the ambiguity and uncertainty of the cognition ability of experts. Second, a novel PF knowledge measure is propounded to measure the vagueness of the PF set. Third, a comprehensive criterion weight determination technique is developed through aggregating subjective weights attained utilizing the PF DEMATEL approach and objective weight deduced by knowledge measure method. Furthermore, an integrated MCGDM approach based on synthetic weight and CoCoSo method is constructed.

The outcomes of sensibility analysis and comparison investigation show that the suggested decision framework can help decision experts to choose a satisfactory MCCLP scientifically and reasonably. Accordingly, the propounded comprehensive decision framework can be recommended to enterprises and organizations to assess the MCCLP for their improvement of core competitiveness.

MCCLP selection is not only momentous for pharmaceutical enterprises to improve transportation quality and ensure medicine safety but also provides a strong guarantee for enterprises to improve their core competitiveness. Nevertheless, enterprises face certain challenges due to the uncertainty of the assessment environment as well as human cognition in the process of choosing a satisfactory MCCLP. PF set possesses a formidable capability to address the uncertainty and imprecision information in the process of MCGDM. Therefore, pharmaceutical enterprises can implement the proposed method to evaluate the suppliers to further improve the comprehensive profit of enterprises.

A successful process of design concept evaluation has positive influence on subsequent processes. This study aims to consider the evaluation information at multiple stages and the interaction among evaluators and improve the credibility of evaluation results.

This paper proposes a multi-stage approach for design concept evaluation based on complex network and bounded confidence. First, a network is constructed according to the evaluation data. Depending on the consensus degree of evaluation opinions, the number of evaluation rounds is determined. Then, bounded confidence rules are applied for the modification of preference information. Last, a planning function is constructed to calculate the weight of each stage and aggregate information at multiple evaluation stages.

The results indicate that the opinions of the evaluators tend to be consistent after multiple stages of interactive adjustment, and the ordering of design concept alternatives tends to be stable with the progress of the evaluation.

Updating preferences according to the bounded confidence rules, only the opinions within the trust threshold are considered. The attribute information of the node itself is inadequately considered.

This method addresses the need for considering the evaluation information at each stage and minimizes the impact of disagreements within the evaluation group on the evaluation results.

The purpose of this study is to investigate the factors influencing green travel intentions within the tourism sector. By examining the moderating effect of green knowledge within the theory of reasoned goal pursuit (TRGP) framework, the research aims to enhance understanding of green travel decision-making and contribute to the development of strategies that promote sustainable travel practices in Vietnam and beyond.

Drawing upon the TRGP, a conceptual framework is developed to understand the relationships among active procurement goals, active approval goals, attitudes toward green travel, subject norms, green travel motivation, perceived behavioral control and green travel intention. The study adopts a quantitative research design and collects data from a sample of 544 Vietnamese tourists through a survey instrument.

The relationships between TRGP variables are discovered and confirmed in the context of ecotourism. Furthermore, the moderating roles of green knowledge are also investigated, directly contributing to sustainable tourism through the lens of TRGP.

The study's exploration of green travel intention and the role of green knowledge contributes to theoretical frameworks and underscores the significance of environmental education in fostering sustainable travel behaviors. Stakeholders in the Vietnamese tourism sector can benefit from practical insights by focusing on eco-friendly accommodations and responsible tour packages. Leveraging social influence and educational campaigns may further encourage sustainable travel practices among Vietnamese tourists, enhancing their inclination toward environmentally conscious behaviors.

The research underscores the importance of interventions that target goal-oriented factors, positive attitudes, social norms, perceived control and green knowledge in molding sustainable travel behaviors. These insights provide a foundation for tourism stakeholders to tailor strategies such as environmental education programs and supportive policies to promote sustainable tourism practices among Vietnamese tourists effectively.

本研究旨在探究影响旅游业中绿色旅行意图的因素。通过在理性目标追求理论（TRGP）框架内审视绿色知识的调节效应, 研究旨在增进对绿色旅行决策制定的理解, 并为推动越南及其他地区的可持续旅行实践发展贡献力量。

本研究基于理性目标追求理论（TRGP）, 建立概念框架, 以了解积极采购目标、积极批准目标、对绿色旅游的态度、主观规范、绿色旅游动机、知觉行为控制和绿色旅游意向之间的关系。本研究采用定量研究方式, 通过问卷调查的设计, 共收集了544名越南旅客数据。

在生态旅游的背景下, 发现并确认了TRGP中各变量之间的关系。此外, 还调查了绿色知识的调节角色, 基于TRGP理论促进了可持续旅游发展。

研究对绿色旅行意图和绿色知识的探索有助于理论框架, 并强调了环境教育在培养可持续旅行行为方面的重要性。越南旅游业的利益相关者可以通过专注于环保住宿和负责任的旅游套餐获得实用见解。利用社会影响力和教育活动可能进一步鼓励越南游客采用可持续旅行实践, 增强他们对环保行为的倾向。

研究强调了针对目标导向因素、积极态度、社会规范、感知控制和绿色知识的干预的重要性, 以塑造可持续旅行行为。这些见解为旅游利益相关者提供了基础, 使其能够制定诸如环境教育项目和支持政策等策略, 从而有效促进越南游客之间的可持续旅游实践。

El propósito de este estudio es investigar los factores que influyen en las intenciones de viaje verde dentro del sector turístico. Al examinar el efecto moderador del conocimiento verde dentro del marco de la Teoría de la Persecución de Metas Razonadas (TRGP), la investigación tiene como objetivo mejorar la comprensión de la toma de decisiones sobre viajes verdes y contribuir al desarrollo de estrategias que promuevan prácticas de viaje sostenibles en Vietnam y más allá.

Basándose en la TRGP, se desarrolla un marco conceptual para comprender las relaciones entre metas activas de adquisición, metas activas de aprobación, actitudes hacia los viajes verdes, normas subjetivas, motivación para viajes verdes, control conductual percibido e intención de viaje verde. El estudio adopta un diseño de investigación cuantitativa y recopila datos de una muestra de 544 turistas vietnamitas a través de un instrumento de encuesta.

Se descubren y confirman las relaciones entre las variables de TRGP en el contexto del ecoturismo. Además, también se investigan los roles moderadores del conocimiento verde, contribuyendo directamente al turismo sostenible a través del prisma de la TRGP.

La exploración de la intención de viaje verde y el papel del conocimiento verde en el estudio contribuye a los marcos teóricos y subraya la importancia de la educación ambiental para fomentar comportamientos de viaje sostenibles. Los interesados en el sector turístico vietnamita pueden beneficiarse de percepciones prácticas al centrarse en alojamientos ecológicos y paquetes turísticos responsables. El aprovechamiento de la influencia social y las campañas educativas puede fomentar aún más prácticas de viaje sostenibles entre los turistas vietnamitas, mejorando su inclinación hacia comportamientos ambientalmente conscientes.

La investigación subraya la importancia de intervenciones que se centran en factores orientados a metas, actitudes positivas, normas sociales, control percibido y conocimiento verde en la configuración de comportamientos de viaje sostenibles. Estas percepciones proporcionan una base para que los interesados en el turismo adapten estrategias como programas de educación ambiental y políticas de apoyo para promover prácticas turísticas sostenibles entre los turistas vietnamitas de manera efectiva.

This paper aims to appraise the effectiveness of gender quotas in breaking the glass ceiling for women on boards (WoBs) in companies that are legally obliged to comply with quotas (listed companies and state-owned companies, LP) and in those that are not (unlisted companies and nonstate-owned companies, NLNP). Furthermore, it investigates the glass cliff phenomenon, according to which women are more likely to be appointed to apical positions in underperforming companies.

A balanced panel data of the top 116 Italian companies by total assets, which are present in both 2010 and 2017, is used for estimating ANOVA tests across sectors and fixed-effects panel regression models.

WoBs significantly increased in both the LP and the NLNP companies, and this increase was greater in the financial sector. Furthermore, the relationship between the percentage of WoBs and firm performance is not linear but depends on the financial corporate health. Specifically, the situation in which a woman ascends to a leadership position in challenging circumstances where the risk of failure is high (glass cliff phenomenon) is only present in companies with the lowest performance in the sample, in other words, when negative values of Roe and negative or zero values of Roa occur together.

These findings have relevant policy implications that encourage the adoption of gender quotas even in specific top positions, such as CEO or president, as this could lead to a “double spillover effect” both vertically, that is, in other job positions, and horizontally, toward other companies not targeted by quotas. Practical interventions to support women in glass cliff positions, on the other hand, relate to the extent of supervisor mentoring and support to prevent women from leaving director roles and strengthen their chances for career advancement.

The authors explore the ability of gender quotas to break through the glass ceiling in companies that are not legally obliged to do so, and to the best of the authors’ knowledge, for the first time, the glass cliff phenomenon in the Italian context.

This research focuses on analyzing the impact of digital transformation (DT) on the green innovation performance of Spanish wineries, as well as the mediating effect of green knowledge sharing (GKS) on this main relationship, as well as the moderating role of top management environmental awareness (TMEA) on the GKS-green innovation performance linkage. In addition, age, size and protected designation of origin (PDO) membership are used to increase the precision of the cause–effect relationships examined.

The study proposes a conceptual model based on previous studies, which is tested using partial least squares structural equation modeling, with data collected from 196 Spanish wineries between September 2022 and January 2023.

The results of the research reveal the existence of a positive and significant relationship between the development of DT and green innovation performance of Spanish wineries, as well as the partial mediation of GKS in this link and a positive moderation of TMEA in the GKS-green innovation performance bond.

Winery executives should prioritize aligning DT with TMEA to drive green innovation performance. Additionally, it is recommended that they actively promote GKS within their wineries to enhance sustainability performance and strengthen their competitive positioning in an eco-conscious market.

The originality of the study derives from its pioneering character, as the research enters unexplored terrain by investigating the role of the GKS as a mediator in the relationship between DT and green innovation performance, as no previous research has ventured in this direction.

Drawing an inference from institutional theory and dynamic capabilities view, this study empirically examined the impact of three institutional dimensions (regulative, normative and cognitive) and green entrepreneurial orientation (GEO) on a business firm’s performance. In addition, the moderating effect of dynamic capabilities on the relationship between GEO and firm performance was also explored.

The data were collected from 527 information technology (IT) firms in Pakistan using paper–pencil questionnaires, and the hypotheses were tested using structural equation modeling.

The findings showed that the regulative and normative institutional dimensions enhance GEO and firm performance in the selected developing country. However, the cognitive institutional dimension fails to report any substantial influence on GEO and firm performance. The findings raised concerns about lower individual accountability as well as the promotion of green practices and firm performance. In addition, dynamic capabilities positively moderate the GEO influence on firm performance.

With the interplay of institutional dimensions, GEO (as mediator) and dynamic capabilities (as moderator), this study developed and tested a unique framework to understand their influence on firm performance. Specifically, we extended the literature by giving evidence that among the three institutional dimensions, only regulative and normative are considered more important because of their direct and indirect (through GEO) positive effect on firm performance. In contrast, the cognitive institutional dimension failed to report any significant direct or indirect impact on firm performance in our study.

Humans now enjoy a better life because of Artificial Intelligence (AI). AI has a significant impact on the creation of smart cities. Modern applications based on big data, Internet of Things (IoT) systems, and deep learning require extensive use of complex computational solutions. Thus, the following problems arise: (1) what are smart cities? (2) what is AI? (3) How is AI used in smart cities? To respond to this problem, the following objective was set: to map how AI is used in smart cities. For this purpose, a qualitative methodology based on a narrative analysis of the literature was used. It is concluded that AI and smart cities are complementary technologies that can assist cities in tackling difficult issues including public safety, transportation, energy management, environmental monitoring, and predictive maintenance. This chapter’s findings, while broadly applicable, offer valuable insights into the Gulf region’s unique context, where rapid urbanization and technological adoption intersect with cultural and environmental considerations. The integration of AI in smart cities presents a promising avenue for the Gulf region to address its specific challenges and leverage its economic and infrastructural strengths, thereby contributing to the broader goals of innovation, development, prosperity, and well-being as envisioned in the region’s Vision 2040 initiatives.