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Entrepreneurial exit research has overlooked the unique context of exits at retirement age when an exit marks the end of an entrepreneurial career (i.e. retirement). To better understand retirement exit decisions and transitions, this study introduces the concept of work ability (i.e. an individual’s ability to meet work demands) into the entrepreneurial exit literature and, based on role theory, hypothesises its effect and interaction with general life satisfaction in explaining the entrepreneurial exits to retirement. The study clarifies the dynamics between the voluntary and non-voluntary aspects behind exit to retirement.

The authors use mixed-effects ordinal logistic regression with four-wave panel data on 198 Finnish small business entrepreneurs who intend to retire to test hypotheses on the relationship between work ability, general life satisfaction and entrepreneurial exit to retirement.

The study provides partial support for the hypothesis that work ability negatively impacts entrepreneurial exit to retirement and strong support for the idea that this effect is affected by general life satisfaction. Entrepreneurs who experience higher life satisfaction are likely to retire on their own terms, whereas those less satisfied continue working until declining work ability forces them to retire.

The study contributes to the entrepreneurial exit literature by showing how the exit dynamics unfold in the unique context of entrepreneurial exit to retirement. The theoretical discussion opens up the potential psychological mechanisms behind such dynamics.

The objective of this study is to reevaluate the correlation among pharmaceutical consumption, per capita income, and life expectancy across different age groups (at birth, middle age, and advanced age) within the OECD countries between 1998 and 2018.

We employ a two-step methodology, utilizing two independent approaches. Firstly, we con-duct the Dumitrescu-Hurlin pairwise panel causality test, followed by Machine Learning (ML) experiments employing the Causal Direction from Dependency (D2C) Prediction algorithm and a DeepNet process, thought to deliver robust inferences with respect to the nature, sign, direction, and significance of the causal relationships revealed in the econometric procedure.

Our findings reveal a two-way positive bidirectional causal relationship between GDP and total pharmaceutical sales per capita. This contradicts the conventional notion that health expenditures decrease with economic development due to general health improvements. Furthermore, we observe that GDP per capita positively correlates with life expectancy at birth, 40, and 60, consistently generating positive and statistically significant predictive values. Nonetheless, the value generated by the input life expectancy at 60 on the target income per capita is negative (−61.89%), shedding light on the asymmetric and nonlinear nature of this nexus. Finally, pharmaceutical sales per capita improve life expectancy at birth, 40, and 60, with higher magnitudes compared to those generated by the income input.

These results offer valuable insights into the intricate dynamics between economic development, pharmaceutical consumption, and life expectancy, providing important implications for health policy formulation.

Very few studies shed light on the nature and the direction of the causal relationships that operate among these indicators. Exiting from the standard procedures of cross-country regressions and panel estimations, the present manuscript strives to promote the relevance of using causality tests and Machine Learning (ML) methods on this topic. Therefore, this paper seeks to contribute to the literature in three important ways. First, this is the first study analyzing the long-run interactions among pharmaceutical consumption, per capita income, and life expectancy for the Organization for Economic Co-operation and Development (OECD) area. Second, this research contrasts with previous ones as it employs a complete causality testing framework able to depict causality flows among multiple variables (Dumitrescu-Hurlin causality tests). Third, this study displays a last competitive edge as the panel data procedures are complemented with an advanced data testing method derived from AI. Indeed, using an ML experiment (i.e. Causal Direction from Dependency, D2C and algorithm) it is believed to deliver robust inferences regarding the nature and the direction of the causality. All in all, the present paper is believed to represent a fruitful methodological research orientation. Coupled with accurate data, this seeks to complement the literature with novel evidence and inclusive knowledge on this topic. Finally, to bring accurate results, data cover the most recent and available period for 22 OECD countries: from 1998 to 2018.

The primary objective of this research is to introduce a pioneering takaful model that provides both provision and protection to the aging population by combining the concept of cash waqf with takaful. This model is designed to align with Shariah principles, ensuring sustainability and enduring impact.

This research adopts a qualitative methodology, where a focus group discussion was conducted with six stakeholders. The participants consisted of takaful operators, legal experts and other industry players. The participants were presented with the proposed cash waqf takaful model and their feedback was recorded. Legal issues related to linking waqf with takaful were also identified and discussed.

The study highlights the need for innovative financial solutions to support Malaysia's aging population. It proposes a cash waqf takaful model, leveraging crowd funding for sustainability. Legal hurdles and recommendations for overcoming them are discussed, along with suggestions for future research on quantitative validation and regulatory frameworks. Ultimately, the study emphasizes the holistic approach of the proposed model in addressing the well-being of Malaysia's senior citizens.

The proposed takaful model presents opportunities for takaful operators to integrate Islamic social finance into their operations, enabling easier access to takaful for the elderly community. By eliminating financial barriers, it can transform the takaful landscape, ensuring inclusivity and financial security for aging populations. Moreover, policymakers see it as a blueprint for sustainable financial solutions and social welfare enhancement globally.

The study introduces a novel cash waqf takaful model to support Malaysia's aging population, leveraging crowdfunding for sustainability. It addresses legal challenges unique to Malaysia and proposes collaboration with State Islamic Religious Authorities. Furthermore, it emphasizes the need for further research to validate the model's effectiveness and explores its potential global policy implications.

Due to population ageing, the European Union (EU) has adopted active ageing as a guiding principle in labour and retirement policies. Among the strategies for active ageing, age-friendly workplaces play a crucial role. This study compares age-friendly human resource (HR) practices in the Baltic and Nordic countries. The latter are pioneers in active ageing, and as the employment rate of older employees in the Baltics is like that in the Nordic countries, we may assume equally age-friendly workplaces in both regions.

We used the latest CRANET survey data (2021–2022) from 1,452 large firms in seven countries and constructed the fuzzy logic model on age-friendliness at the workplace.

Despite a high employment rate of older individuals in the Baltics, HR practices in these countries fall short of being age-friendly compared to their Nordic counterparts. Larger firms in the Nordic countries excel in every studied aspect, but deficiencies in the Baltics are primarily attributed to the absence of employer-provided health and pension schemes. The usage of early retirement is more frequent in the Nordic countries; however, its conceptualisation as an age-friendly HR practice deserves closer examination. Our findings suggest that the success of active ageing in employment has translated into age-friendly HR practices in larger organisations in the Nordics, but not in the Baltics. It is likely that high employment of older individuals in Estonia, Latvia and Lithuania is a result of the relative income poverty rate.

Our model represents one of the few attempts to utilise fuzzy logic methodology for studying human resource practices and their quantitative evaluation, especially concerning age-friendly workplaces.

This chapter first reviews open banking, a key data sharing initiative promoted by various central banks and regulators around the world to help nudge competition, innovation and better financial services for consumers in the digital age. The chapter then reviews various models and approaches as well as key success factors of open banking, as well as the extensions of open banking into open finance in various jurisdictions.

This chapter examines three common fintech use cases transforming the financial industry. First, the chapter introduces fintech's role in enhancing financial services and promoting financial inclusion, especially through digital platforms. Second, it investigates various fintech applications that support financial institution management by harnessing the power of artificial intelligence (AI) and machine learning (ML). Finally, the chapter explores fintech use cases related to the regulatory environment, including regulatory technology (regtech), blockchain technology, and cryptocurrencies. The insights presented in this chapter cater to researchers and practitioners keen on better understanding fintech's diverse applications in the ever-evolving financial industry landscape.

This paper aims to unravel the puzzle that the United Kingdom’s high-quality government accounting and fiscal architecture is associated with low-quality outcomes, including poor productivity growth, high public debt, public services which do not meet citizen expectations and historically high levels of taxation. It contributes to public sector accounting research in the fields of fiscal transparency and governance.

This paper uses Miller and Power’s (2013) economization framework and Dunsire’s (1990) concept of collibration to explain why being a global leader in public sector accounting reform and in fiscal and monetary architecture has not protected the UK from weak governance. The intersection of economization’s roles of accounting with modes of government accounting clarifies the puzzle.

Whereas accruals government accounting contributes to fiscal transparency, this is not a sufficient condition for well-judged policy and its effective application. Collibration is the dominant mechanism for mediation in the fiscally centralized UK, but it has failed to deliver stable outcomes, in part because Parliament is limited in its ability to hold back inappropriate behaviour by the Executive. Subjectivization has disrupted adjudication because governments at all levels resist constraints on their behaviour, with unpredictable and often damaging consequences.

This paper provides insights through the combined lens of economization and modes of government accounting, demonstrating the practical value of this conceptualization. Although some causes for unsatisfactory outcomes are specific to the UK, there are cautions for accounting and fiscal reformers in other countries, such as Member States of the European Union.

This chapter discusses how the real options theory can be useful for understanding the adoption of human resources management (HRM) practices. The authors review how the real options theory has provided insights into the processes through which firms manage uncertainties involved in the adoption of HRM practices. The authors offer propositions for future HRM research from the real options perspective. The authors contend that analyzing HRM practice adoptions through the lens of real options theory can enhance our understanding of the mechanisms through which firms choose which HRM practices to adopt and how they adjust the timing, scale, and methods of investment in these practices. Specifically, the authors suggest that differences in information relevant to valuation of HRM options are the source of distinct choices of HRM options across firms. Finally, the authors propose advancing knowledge on HRM practice adoptions by using a portfolio of options approach, as well as considering factors like competitors, path dependence, and switching options.

This case study focuses on an alternative minimum-security model, the Safety Income (SI) Model, representing a nuanced departure from both established policies and UBI. StI is a welfare system that supplements households earning below the standard median income with 50% of the difference between the standard median and their current earnings. The quantitative case study presents the set-up of SI and assesses the cost of its implementation in South Korea. By employing a computable general equilibrium model method, the study compares the impacts of SI, UBI and the existing scheme in South Korea on income disparities, labor market outcomes and Gross Domestic Product.

In the past decade, the Universal Basic Income (UBI) concept has gained international significant traction as a potential remedy for poverty and inequality. However, the practical implications of UBI implementation remain under extensive debate. It is unclear if UBI is an effective model for poverty alleviation.

The analyses show that SI outperforms the other two welfare systems across all studied economic indicators. SI demonstrates more substantial reductions in income inequality compared with UBI and the existing scheme, minimal impact on unemployment rates compared with other schemes and a relatively modest decrease in GDP, making it a more favorable choice for South Korea when developing the minimum-security system within the specified budget constraint.

This research contributes to the discourse surrounding basic income, economic security, poverty alleviation and inclusive social policies.

Organizational scholars studying compensation often place an emphasis on certain employee groups (e.g., executives). Missing from this discussion is research on the compensation systems for low-wage jobs. In this review, the authors argue that workers in low-wage jobs represent a unique employment group in their understanding of rent allocation in organizations. The authors address the design of compensation strategies in organizations that lead to different outcomes for workers in low-wage jobs versus other workers. Drawing on and integrating human resource management (HRM), inequality, and worker literatures with compensation literature, the authors describe and explain compensation systems for low-wage work. The authors start by examining workers in low-wage work to identify aspects of these workers’ jobs and lives that can influence their health, performance, and other organizationally relevant outcomes. Next, the authors explore the compensation systems common for this type of work, building on the compensation literature, by identifying the low-wage work compensation designs, proposing the likely explanations for why organizations craft these designs, and describing the worker and organizational outcomes of these designs. The authors conclude with suggestions for future research in this growing field and explore how organizations may benefit by rethinking their approach to compensation for low-wage work. In sum, the authors hope that this review will be a foundational work for those interested in investigating organizational compensation issues at the intersection of inequality and worker and organizational outcomes.