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The purpose of this paper is to examine how the practices, processes and expertise embedded within Social Impact Bonds (SIBs) distinctively mediate the tensions between outcome payers’ competing and contradictory programmatic discourses.

We use qualitative research methods and employ concepts drawn from the governmentality literature to analyse interviews with SIB outcome payers.

SIBs are shown to challenge the degree of negative influence of biopolitics, neoliberalism and financialization by highlighting a broader and more holistic set of influences. SIB operations pre-empt and counteract perceived risks and are refined through a “learning by doing” effect. In contrast to other approaches to funding social interventions, the SIB structure attributes and independently validates outcomes. Payments to investors are based on the achievement of outcomes and are funded by the outcome payers. SIBs’ operational processes allow the responsibilities of the various parties to be explicitly assigned and contracted. The interests are aligned, yet the cultural differences harnessed.

This paper is one of the first to apply governmentality concepts to SIBs. By focusing on outcome payers, the paper provides new perspectives on the practices, processes and expertise of governing and the programmatic discourses of governing, as well as their relationship. The insights offered are supported by one of the largest and most diverse empirical SIB samples including 34 interviews where 43 individuals reflect on their experiences across 32 unique outcome payer organisations.

This study assesses the probability of an OECD member country exhibiting high persistence in unemployment duration, considering income inequality, productivity, accumulation of human capital and labor income share in Gross Domestic Product (GDP) between the years 2013–2019.

To achieve the purpose of the study, a probabilistic analysis with panel data is employed, focusing on 20 OECD countries segmented into two groups: those with high persistence and low persistence in unemployment duration. Probit and Logit models are estimated, marginal changes are analyzed and the models are evaluated in terms of their classification accuracy. Finally, trends in probabilities over time are examined.

This paper exhibits that countries with higher human capital index, greater labor income share in GDP, and more relevant productivity for well-being reduce their probabilities of experiencing high persistence in unemployment duration. It is observed that Mexico (MEX), Greece (GRC), Italy (ITA), and Turkey (TUR) have elevated probabilities of experiencing high persistence in unemployment duration in the future, while Costa Rica (CRI), Estonia (EST), Slovakia (SVK), Czech Republic (CZE), Lithuania (LTU), Poland (POL), and Israel (ISR) show a marked downward trend in these probabilities. Lastly, countries like the United Kingdom (GBR), Denmark (DNK), Sweden (SWE), Norway (NOR), Netherlands (NLD), Germany (DEU), United States (USA), and Canada (CAN) present minimal risk of experiencing high persistence in unemployment duration in the future.

The measurement of the relationship between development outcomes and persistence in unemployment duration has been scarce. Generally, the literature has focused on the analysis of development and unemployment without delving into the duration of unemployment, let alone persistence in duration.

This paper provides a solid foundation for the formulation of policies aimed at promoting sustainable employment and inclusive economic growth.

Based on the findings of the study, two key development policies are proposed. Firstly, the implementation of investment programs in Human Capital to increase productivity is recommended. Resources should be directed towards initiatives that improve the necessary skills and competencies in the labor markets of OECD countries, especially in strategic economic sectors with higher production linkages. Additionally, incentivizing the application of active labor policies is proposed. This entails prioritizing policies aimed at increasing the labor income share in GDP through progressive fiscal reforms that strengthen social safety nets and ensure fair labor standards. Implementing employment programs targeted at vulnerable groups, such as long-term unemployed individuals, youth, female heads of households and marginalized communities, is also recommended to eliminate structural barriers to labor market participation and reduce disparities in unemployment persistence. Adopting these policies can help mitigate the risk of high unemployment duration persistence and foster sustainable and inclusive long-term economic growth.

This is the first study to analyze the probabilities of both developing and developed countries experiencing high persistence in unemployment duration. It specifically evaluates these probabilities over a period of time and also estimates potential outcomes if real investments were made to enhance their human capital, productivity and employability.

Customer perceptions toward hybrid human–robot teams remain largely unexplored. We focus on the impact of frontline robots’ (FLRs) automated social presence (ASP) on customers’ perceived teamwork quality, and ultimately frontline employees’ (FLEs) competence and warmth. We explore the role of interrogation as a relevant contingency. We complement the customer view with insights into the FLEs’ viewpoint.

We manipulate FLR’s ASP cues (speech and identity) in a hybrid team in four business-to-consumer (B2C) video-based experiments and collect data from online participants. We combine these with one business-to-business (B2B) field survey which collected data from FLEs working in hybrid teams.

When FLR’s ASP increases, customers more positively evaluate teamwork quality, ultimately affecting FLEs’ competence and warmth. FLEs who correct (interrogate) robotic mistakes strengthen the positive effect of FLRs’ ASP on teamwork quality. When FLRs correct FLEs, ASP’s effect on teamwork quality is also strengthened, while FLEs are not “punished” for erring. In contrast, FLEs themselves do perceive corrections as detrimental to teamwork quality. We term this the hybrid team evaluation paradox.

We recommend that firms deploy hybrid teams equipped with high-ASP FLRs (name and speech suffice). FLEs should be trained, and FLRs programmed, to appropriately use interrogation. Managers should pay attention to the paradox, given the conflicting perceptions toward interrogative behaviors.

We advance the hybrid teams literature by drawing on ASP, social cognition and collective mindfulness theories and behaviors that ameliorate customer perceptions. Our results support using FLRs to enhance FLEs’ capabilities.

This study aims to provide a comprehensive bibliometric analysis of sports sponsorship research over the last 3 decades (1993–2024). By mapping the intellectual landscape of this field, the study seeks to identify key trends, prominent themes and the most influential authors and journals. Furthermore, the research addresses the ongoing challenge of evaluating the effectiveness of sponsorship investments, particularly in the digital age. The goal is to highlight emerging research areas.

This study employs a bibliometric analysis using the SPAR-4-SLR protocol to systematically review the literature on sports sponsorship from 1993 to 2024. Data were sourced from the Web of Science (WoS) database, filtering results for articles written in English and excluding non-academic publications. A combination of bibliometric techniques – co-citation, co-word and co-authorship network analysis – was applied to examine intellectual structures and trends in the field. The Bibliometrix software was used for data analysis, providing a comprehensive evaluation of research productivity, collaboration patterns and emerging themes.

The bibliometric analysis reveals a significant increase in global sports sponsorship research, with a 12.69% annual growth rate from 1993 to 2024. Key themes such as corporate social responsibility (CSR), consumer behaviour and government regulation emerged as central topics. The study also highlights growing research interest in digital sponsorships, particularly within the eSports industry. Additionally, co-authorship analysis demonstrates increasing international collaboration, with 30.2% of publications involving multiple countries. The findings provide a clearer understanding of the intellectual landscape of sports sponsorship and suggest emerging research opportunities, particularly in digital marketing and advanced data analytics.

The analysis relies solely on the WoS database, which may have excluded relevant publications indexed in other databases such as Scopus or Google Scholar. Although WoS provides high-quality data, future research should integrate multiple databases to achieve a more comprehensive coverage of the field. Additionally, this study focuses primarily on articles published in English, potentially overlooking significant contributions from non-English sources.

This study provides a unique contribution by conducting the first comprehensive bibliometric analysis of sports sponsorship research over a 30-year period (1993–2024). By applying the SPAR-4-SLR protocol, it identifies emerging research areas such as the integration of big data and the role of psychophysiological methods in measuring sponsorship effectiveness. The research also highlights the increasing importance of digital sponsorship in industries like eSports. This work offers new insights into global collaboration patterns and reveals underexplored topics like the balance between global and local sponsorship strategies, thus providing valuable directions for future research and practical applications.

Digital political advertising has been essentially unregulated for a long time. More recently, a number of notable scandals, such as the Facebook–Cambridge Analytica affair and the external meddling in Brexit and the 2016 US elections, have compelled the European Union to take regulatory action. After discussing the growing role of political advertising for political parties and candidates and the major challenges this implies in terms of electoral integrity, this chapter explores the genesis, significance as well as the limitations of the Transparency and Targeting of Political Advertising (TTPA) Regulation. Introduced in 2024, the TTPA establishes a common regulatory framework across EU Member States ensuring minimum transparency requirements that digital platforms must comply with, including disclosure about the origins, parameters and funders of political advertisements directed to European citizens. While emphasising the important step forward of this Regulation for the countering of information manipulation and foreign interference in elections and the relevant shift in the EU relationships with platform services, we point to a number of problems that remain unaddressed, including the manipulative and deceptive use of political content, hate speech, misinformation and political polarisation.

This paper examines the phenomenon of mixing public floors within private development, shedding light on underlying rationales, the acceptability of integrating different uses, and the various challenges associated with the management and creation of these mixed-use, mixed-ownership buildings.

The topic is reviewed by examining the opinions and perceptions of expert planners and developers using a triangulation of qualitative interviews data and quantitative and qualitative analysis of survey results, cross-referenced with some grey literature in the form of planning tribunal decisions.

Findings suggest that the allocation of public floors is made in response to the shortage of land in high-demand areas with the aim of densifying development and making it more efficient. Experts were generally open to the concept of a private–public floorspace mix, noting that certain public land uses are better than others when combined as floorspace within private structures. Furthermore, the findings highlight managerial obstacles as well as issues with the process of allocating public floors in new plans.

The findings can be used to provide guidance for municipal authorities and developers looking to make the most of their available land, ensuring that both the public and private domains can coexist as cities continue to grow and become more densely populated in the future.

Few studies have reviewed this type of public–private mix, while highlighting challenges in their creation and management. The Israeli case-study in the paper showcases a unique context where high growth rates, increasing densification, and vertical development all spur development in this direction.

This study aims to analyse the influence of football fans' involvement on sponsor brand equity and their purchase intention toward the sponsoring brand. To achieve this, we specified a structural model examining the relationships between engagement, brand equity and fans’ purchase intentions.

The data for this study were collected using a structured questionnaire. Three football teams from the city of Quito (Ecuador) that compete in the first division of Ecuadorian professional football were considered. For data collection, both personal interviews and a web link were used. The personal interviews were carried out directly with the fans of the three teams in the vicinity of the stadiums, prior to matches of the Ecuadorian League.

The study concluded that a greater involvement of fans with a football club positively influences both the valuation of the sponsoring brand and the intention to purchase the product and/or service of the sponsoring brand.

This work contributes to the literature on brand equity. On the one hand, from the companies’ perspective, it is important for brand managers to realise that football fans constitute an especially significant section of the public to strengthen the brand and even to buy the products of the sponsoring brand. On the other hand, from the point of view of the clubs, it should be borne in mind that the involvement of the fans with the clubs constitutes a major factor in strengthening the sponsoring brands.

Most of the research in the literature has studied purchase intention towards the club brand but not towards the sponsoring brand. The research, which is applied to the football industry, conceptually extends the customer-based brand equity (CBBE) model by including the perspective of football fans’ involvement with their clubs.

The study aims to theoretically link poverty and Venezuelan migration, understanding impoverishment as the unmet basic needs of migrants in destination countries.

This study follows an interpretive, non-experimental and transactional methodology. Data mining technique is used in the top five receiving countries of Venezuelan migrants: Brazil, Colombia, Chile, Ecuador and Peru. The case of Venezuelan migration in Latin America and the Caribbean is presented as a spatial reference. The results show that unmet basic needs are an indicator of poverty in migrations, which could be a factor of impoverishment for the migrant.

The accommodation, water, health, education and integration sectors represent half of each country's budget in 2020; they are related to housing, economic dependence and services dimensions. These factors as indicators of poverty from the model of unmet basic needs must be covered to prevent Venezuelan migrants and refugees from becoming impoverished.

The theoretical contribution of this study shows the relationship between poverty, unmet basic needs and Venezuelan migration; therefore, Venezuelan migrants and refugees require greater state intervention to satisfy these basic needs and achieve better social and labour integration that improves the living conditions of these agents in the destination countries.

This study aims to investigate the antecedents of behavioral intention and actual usage of mobile payment (m-payment) services during the COVID-19 pandemic among Indian consumers.

The proposed research model of this study is based on the extended framework of the Unified Theory of Acceptance and Use of Technology (UTAUT2) by using two additional variables, namely, perceived security (PS) and perceived trust (PT). In total, 436 sample respondents are chosen from Indian consumers with experience using m-payment services through the online survey method. The data analysis and proposed hypothetical relationships were tested using confirmatory factor analysis and structural equation modeling techniques.

The results confirm that performance expectancy, effort expectancy, facilitating conditions, PS, PT, habit and price value are antecedents of consumer intention toward adopting m-payment services. Furthermore, behavioral intention significantly influences the actual usage of m-payment services during the COVID-19 pandemic.

Though the impact of COVID-19 has been observed during the research period in getting responses from m-payment service users, the constructs used in the study are confined to the UTAUT2 model, and dimensions related to COVID-19 are not directly included in the measurement scale. The study’s findings propose valuable insights for service providers and policymakers.

This study’s results offer valuable insights to the service providers and policymakers to achieve the Government of India digital India objective of “Faceless, Paperless and Cashless” transactions.

This study’s results contribute to extending the empirical research literature on m-payment as antecedents of behavioral intention toward the adoption of m-payment services during the COVID-19 pandemic. Furthermore, this study assumes important interrelationships among UTAUT2 constructs with the additional incorporation of PS and PT.

This study aims to explore the dynamic interplay of key resources (i.e. research and development (R&D), advertising and exports) in affecting the performance of USA manufacturing firms. Specifically, the authors examine the dynamic impact of joint resources and predict differential effect scales contingent on firm capabilities.

This study presents a combined multiple regression analysis (MRA)-multilayer perceptron (MLP) neural network modeling and investigates the complex interlinkage of capabilities, resources and performance. As an innovative approach, the MRA-MLP model investigates the effect of capabilities under the combinatory deployment of joint resources.

This study finds that the impact of joint resources and synergistic rents is not uniform but rather distinctive according to the combinatory conditions and that the pattern is further shaped by firm capabilities. Accordingly, besides signifying the contingent aspect of capabilities across a range of resource combinations, the result also shows that managerial sophistication in adaptive resource control is more than a managerial ethos.

The proposed analytic process provides scientific decision support tools with control mechanisms with respect to deploying multiple resources and setting actionable goals, thereby presenting pragmatic benchmarking options to industry managers.

Using the theoretical underpinnings of the resource-based view (RBV) and resource orchestration, this study advances knowledge about the complex interaction of key resources by presenting a salient analytic process. The empirical design, which portrays holistic interaction patterns, adds to the uniqueness of this study of the complex interlinkages between capabilities, resources and shareholder value.