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This research aims to investigate the symbiotic relationship between work and family life among doctors in India, with a focus on work–family enrichment (WFE) as a positive interplay. The study seeks to examine the impact of two aspects of WFE, namely, work-to-family enrichment (WTFE) and family-to-work enrichment (FTWE) on job satisfaction (JS) and life satisfaction (LS), while exploring the mediating role of self-efficacy (SE).

The research employs a comprehensive survey to gather data from Indian doctors. The survey includes measures of WTFE, FTWE, JS, LS and SE. Structural equation modeling (SEM) was employed to examine the proposed connections among the research constructs, using IBM AMOS v.23.

The findings reveal that WTFE significantly impacts both JS and LS. However, FTWE does not show a direct influence on JS, though it does positively impact LS. SE plays a noteworthy role, having a strong direct influence on both job and life satisfaction. In terms of indirect influence, WTFE impacts job and life satisfaction through the mechanism of SE. Nevertheless, no significant indirect effect was found between FTWE and both types of satisfaction through SE.

This research presents several original contributions to the study of work–life balance among healthcare professionals. Firstly, its unique geographic focus on North India distinguishes it from existing literature, offering fresh insights into the experiences of doctors in this region. Moreover, the study's multifaceted examination of WFE, SE, JS, and LS introduces a comprehensive perspective seldom seen in current research.

We consider the kernel-based classifier proposed by Younso (2017). This nonparametric classifier allows for the classification of missing spatially dependent data. The weak consistency of the classifier has been studied by Younso (2017). The purpose of this paper is to establish strong consistency of this classifier under mild conditions. The classifier is discussed in a multi-class case. The results are illustrated with simulation studies and real applications.

This study aims to explore the experiences of living through the COVID-19 pandemic for people who faced homelessness and dealt with mental health and/or substance use challenges.

This qualitative study was comprised of 26 1:1 interviews (16 men and 10 women), conducted between February and May 2021 with people who experienced homelessness in North East England during the COVID-19 pandemic. An inductive reflexive thematic analysis was undertaken, with input from individuals with lived experience who were involved throughout the study.

Four themes were developed. The first theme, lack of support and exacerbation of mental health and substance use difficulties, highlighted how the lack of in-person support and increased isolation and loneliness led to relapses or new challenges for many people’s mental health and substance use. The second theme, uncertainty and fear during the pandemic, explored how the “surreal” experience of the pandemic led to many people feeling uncertain about the future and when things would return to normal. The third theme, isolation and impacts on social networks, discussed how isolation and changes to relationships also played a role in mental health and substance use. Finally, opportunity for reflection and self-improvement for mental health and substance use, explored how some people used the isolated time to re-evaluate their recovery journey and focus on self-improvement.

The experiences shared within this study have important implications for planning the future delivery and commissioning of health and social care services for people facing homelessness, such as sharing information accessibly through clear, consistent and simple language.

As one of the few papers to involve people with lived experience as part of the research, the findings reflect the unique narratives of this population with a focus on improving services.

The purpose of this paper is to examine challenges and potential of big data in heterogeneous business networks and relate these to an implemented logistics solution.

The paper establishes an overview of challenges and opportunities of current significance in the area of big data, specifically in the context of transparency and processes in heterogeneous enterprise networks. Within this context, the paper presents how existing components and purpose-driven research were combined for a solution implemented in a nationwide network for less-than-truckload consignments.

Aside from providing an extended overview of today’s big data situation, the findings have shown that technical means and methods available today can comprise a feasible process transparency solution in a large heterogeneous network where legacy practices, reporting lags and incomplete data exist, yet processes are sensitive to inadequate policy changes.

The means introduced in the paper were found to be of utility value in improving process efficiency, transparency and planning in logistics networks. The particular system design choices in the presented solution allow an incremental introduction or evolution of resource handling practices, incorporating existing fragmentary, unstructured or tacit knowledge of experienced personnel into the theoretically founded overall concept.

The paper extends previous high-level view on the potential of big data, and presents new applied research and development results in a logistics application.

The purpose of this paper is to provide evidence for the motivations of SMEs for introducing the Living Wage (LW), focussing on retail as one specific sector. It develops understanding of the strategic benefits and challenges these employers face in balancing financial, ethical and social considerations in small businesses.

The study employed mixed methods: a survey and semi-structured interviews. The interviews are presented as part of three case studies.

Findings indicate that employers were, for the most part, motivated by personal ethics and beliefs about fair wages and social justice. They suggest that SME accrue benefits from LW accreditation such as reputational benefits and higher employee morale, but that there are also potential pitfalls of LW adoption related to pay structure and incentives. The sustainability of the LW emerged as an issue in terms of the long-term strategy and brand positioning of the companies involved.

The nature of the research was exploratory and thus the study only allows for limited generalisation. Recommended avenues for further research include gathering data from different levels of organisations and from different stakeholders.

This is the first paper to investigate the drivers for, and implementation of, the LW in SMEs. The specific characteristics of SMEs – their ethos, low visibility, reliance on trusting relationships and limited resources, among others – make the study of why and how they choose to implement the LW very interesting. This study is the first to gather and analyse data from SME retailers and wholesalers that have implemented the LW.

This article analyzes the implementation of anti-corruption reforms in Taiwan by two former presidents, Chen Shui-bian (2000-2008) and Ma Ying-jeou (2008-2016).

A three-tier research approach, including in-depth interviews, questionnaire survey, and descriptive and inferential analysis, is adopted. In addition to Chen and Ma, 11 senior anti-corruption officials who served under both presidents were interviewed by the author. The survey questions cover 12 factors which are later grouped into the five dimensions of ethical leadership, considerate leadership, delegating leadership, participatory leadership, and performance to illustrate the causal relationship between these dimensions and performance.

Ma’s personal ethics are distinct from Chen’s in kind but Ma’s overall leadership and performance outshine Chen’s in degree rather than in kind. While the gap of ethical leadership between two Taiwan presidents is significantly wider than other dimensions of leadership, the outcome of the national integrity is not proportionate to the ethical leadership gap. In other words, personal ethics are not automatically transformed into political will for enhancing anti-corruption effectiveness. Three popular forms of corruption, red envelopes (bribing), influence-peddling, and vote-buying are analyzed in the context of changing political culture through national leadership. Unfortunately, both Chen and Ma produce insignificant contributions based on public surveys.

Policy-makers and scholars can use these research findings to further explore how ethical leadership can enhance a country’s anti-corruption performance.

This paper aims to provide an overall review and assessment of the virtues and flaws of decentralized self-regulated markets, discussing in particular the extent to which deceiving attitudes by some market participants might be potentially diluted and contradicted.

To approach deception and morality in markets, the paper follows two paths. First, the relevant recent literature on the theme is reviewed, examined and debated, and second, one constructs a simulation model equipped with the required elements to discuss the immediate and long-term impacts of deceiving behaviour over market outcomes.

The discussion and the model allow for highlighting the main drivers of the purchasing decisions of consumers and for evaluating how they react to manipulating behaviour by firms in the market. Agents pursuing short-run gains through unfair market practices are likely to be punished as fooled agents spread the word about the malpractices they were allegedly subject to.

Markets are complex entities, where large numbers of individual agents typically establish local and direct contact with one another. These agents differ in many respects and interact in unpredictable ways. Assembling a concise model capable of addressing such complexity is a difficult task. The framework proposed in this paper points in the intended direction.

The debate in this paper contributes to a stronger perception on the mechanisms that attribute robustness and vitality to markets.