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Despite considerable evidence of the benefits of organizational transparency, policies to enhance transparency often fail or are met with resistance and unexpected results. In part, this is due to a lack of knowledge about the drivers of organizational transparency and their interrelationships. This study examines the interplay among the forces that influence organizational transparency, and thus answers numerous calls for developing a deeper theoretical understanding of the determinants of organizational transparency. We propose three forces that influence organizational transparency and theorize how they combine in nonlinear ways to form five archetypical transparency regimes that organizations operate within. We then discuss contingencies to organizational transparency within each regime.

We employ configurational theorizing to capture the complexity of transparency and the nonlinear relationships among the forces of transparency.

We propose three forces that influence organizational transparency: institutional, societal, and leadership. We identify configurations of the three forces that yield five archetypical transparency regimes. We then discuss contingencies for cultivating organizational transparency within each regime. Vanguard transparency and pioneering transparency represent the desired regimes for fostering organizational transparency. In contrast, hollow transparency and deceptive transparency reveal a combination of determinants that cultivate less desirable forms of organizational transparency. Paradoxical transparency represents a regime in which socially desirable outcomes are associated with undesirable consequences for an organization.

This paper is among the first to theorize the drivers of organizational transparency and to discuss the limits and boundaries of organizational responses to transparency determinants.

Despite the many benefits of transparency, we explain why efforts to enhance organizational transparency often fail or are met with mixed results. By considering the three forces, managers and policymakers can avoid unexpected and undesired organizational responses to transparency regimes.

We propose five transparency regimes that place a spotlight on social contingencies to enhance transparency.

This study offers an integrative theory of organizational responses to transparency determinants and develops its theoretical foundations. The model integrates the fragmented empirical findings from previous studies on the determinants of transparency and draws attention to overlooked institutional, societal, and leadership forces that influence organizational transparency.

This paper aims to discuss recent criticism related to partial least squares structural equation modeling (PLS-SEM).

Using a combination of literature reviews, empirical examples, and simulation evidence, this research demonstrates that critical accounts of PLS-SEM paint an overly negative picture of PLS-SEM’s capabilities.

Criticisms of PLS-SEM often generalize from boundary conditions with little practical relevance to the method’s general performance, and disregard the metrics and analyses (e.g., Type I error assessment) that are important when assessing the method’s efficacy.

We believe the alleged “fallacies” and “untold facts” have already been addressed in prior research and that the discussion should shift toward constructive avenues by exploring future research areas that are relevant to PLS-SEM applications.

All statistical methods, including PLS-SEM, have strengths and weaknesses. Researchers need to consider established guidelines and recent advancements when using the method, especially given the fast pace of developments in the field.

This research addresses criticisms of PLS-SEM and offers researchers, reviewers, and journal editors a more constructive view of its capabilities.

This paper explores the Entrepreneurial Well-Being (EWB) of expatriate entrepreneurs in China. Through the analysis of their contextualised lived experience across the entrepreneurial journey, the paper proposes a novel theorisation of EWB.

This study adopts an interpretivist approach of abductive reasoning to analyse the data from 50 in-depth interviews conducted with expatriate entrepreneurs in China. Expatriate entrepreneurs are confronted with enhanced challenges in their host country, leading to particular emotional engagement with the entrepreneurial journey.

Findings show the importance of life situations, emotions and relatedness in the entrepreneurial process and the EWB of expatriate entrepreneurs. Theorising from their lived experiences, the paper presents EWB as a dynamic process. It further theorises this process as a constant, ongoing interaction and integration between the self and world, in an interplay of being and becoming. Such theorisation contributes first to advancements in the EWB literature, with a stronger emphasis on the entrepreneurial aspect. The paper also contributes to discussions on contextualised entrepreneurship by stressing the role of emotions and relatedness in the pursuit of EWB.

Entrepreneurship is a global phenomenon, which is often presented as a suitable alternative career path for migrant and expatriate individuals. However, the importance of EWB for entrepreneurs requires further attention from policy-makers, support institutions and entrepreneurs themselves. By theorising EWB as a processual journey of being and becoming and the relation between the self and world, this paper opens avenues for innovative support policies and practices aiming at developing the full potential of individuals in entrepreneurship and promoting both the happiness index and the global index of society.

This study examines how board characteristics influence air, water and renewable energy (AWR) disclosures in an emerging economy. It argues for the necessity of separating these disclosures to address unique environmental impacts and stakeholder concerns.

Using longitudinal data from environmentally sensitive firms (2014–2022), a disclosure index based on the Global Reporting Initiative (GRI) framework was developed to quantify AWR separately. To address potential statistical issues such as endogeneity and selection bias, the analysis employed a set of robust regression models, including the industry fixed effects (FE) model, a lagged model and a two-stage least squares (2SLS) model.

Board size and audit committees positively influence all AWR disclosures, while foreign directors significantly impact air and renewable energy disclosures. Board meetings negatively affect water disclosures. Surprisingly, board independence shows no significant impact, and gender diversity has no notable relationship. Post-amendment, firms increased AWR disclosures, though participation remains limited.

Grounded in legitimacy theory, this study contributes to the literature by demonstrating how separating the unique characteristics of AWR disclosures offers stakeholders more precise insights into how firms manage specific environmental concerns. The findings are based on data from listed firms in Bangladesh and may not be generalisable to unlisted firms or other regions.

The study emphasises the importance of distinct AWR reporting, offering valuable insights for regulators and corporate boards to improve transparency and sustainability practices.

Separating AWR disclosures provides stakeholders with clearer assessments of firms' environmental performance, promoting accountability and informed decision-making.

This study uniquely emphasises the need for disaggregating air, water and renewable energy disclosures in emerging economies. By focussing on each environmental issue separately, the research highlights how distinct disclosures offer clearer insights into how firms address specific environmental challenges, such as air pollution, water management and the transition to renewable energy sources. This disaggregation is essential for stakeholders – particularly regulators, investors and policymakers – to assess and respond to firms' sustainability efforts accurately.

In recent years, a number of privileged individuals have entered the music industry in Zimbabwe, either as performers or entrepreneurs. The economic challenges in the country may have prompted these individuals to invest in music as a means of diversifying their income or exploring new business opportunities. To determine whether their interest in music is driven by entrepreneurship or genuine passion, a scholarly examination was deemed necessary.

A qualitative research approach with semi-structured interviews was used as the data collection technique. Narrative analysis was conducted on a sample of musicology students in Gweru, Zimbabwe.

The findings revealed the nepo babies’ interest in music is driven by legacy continuation – the responsibility to carry on with the name of the parent – harsh economic conditions, capitalizing on Internet and digital opportunities and mechanisms for psychological satisfaction during hardships.

Although there is a wide range of literature on musicpreneurship, there are gaps in studies that have examined whether a nepo baby's interest in music is motivated by musicpreneurship or a genuine passion for it. Therefore, the aim of this research is to contribute to the existing body of literature on African musicpreneurship, with a specific focus on Zimbabwe.

Small-scale farmers are highly heterogeneous with regard to their types of farming, levels of technology adoption, degree of commercialization and many other factors. Such heterogeneous types, respectively groups of small-scale farming systems require different forms of government interventions. This paper applies a machine learning approach to analyze the typologies of small-scale farmers in South Africa based on a wide range of objective variables regarding their personal, farm and context characteristics, which support an effective, target-group-specific design and communication of policies.

A cluster analysis is performed based on a comprehensive quantitative and qualitative survey among 212 small-scale farmers, which was conducted in 2019 in the Limpopo Province of South Africa. An unsupervised machine learning approach, namely Partitioning Around Medoids (PAM), is applied to the survey data. Subsequently, the farmers' risk perceptions between the different clusters are analyzed and compared.

According to the results of the cluster analysis, the small-scale farmers of the investigated sample can be grouped into four types: subsistence-oriented farmers, semi-subsistence livestock-oriented farmers, semi-subsistence crop-oriented farmers and market-oriented farmers. The subsequently analyzed risk perceptions and attitudes differ considerably between these types.

This is the first typologisation of small-scale farmers based on a comprehensive collection of quantitative and qualitative variables, which can all be considered in the analysis through the application of an unsupervised machine learning approach, namely PAM. Such typologisation is a pre-requisite for the design of more target-group-specific and suitable policy interventions.

This study aims to examine the link between financial reporting quality and investment efficiency in publicly listed firms in frontier markets, taking into account country-level investor protection. By comparing real and accrual earnings management, this paper demonstrates the context-dependent nature of the impact of financial reporting quality. It emphasises the importance of improving investor protection and reducing agency conflicts in promoting investment efficiency in frontier markets.

Accounting data from 1998 to 2020 are collected for all listed firms in six frontier market countries across 21 industries. Fixed-effect regression analysis is used to test causal relationships; several robustness checks are performed; and two-stage least squares is used to address endogeneity concerns.

Higher financial reporting quality improves investment efficiency in frontier markets. Furthermore, the positive effect is amplified when country-level investor protection in frontier markets is strong.

These findings add to the growing body of evidence showing that financial reporting quality improves investment efficiency, even in frontier markets. Furthermore, the level of investor protection within a country strengthens this relationship, particularly in firms that are prone to underinvestment.

Using “on justification” theory, this article explores the rationality and justification of the West-African military migrants for joining the British Armed Forces.

We utilise an interpretive qualitative research methodology in this study. We undertook semi-structured interviews with 42 military migrants who joined the British Armed Forces between 1998 and 2013.

We identify various factors that influenced the participants’ decision to join the British Armed Forces, such as individual aspirations, the need to find a “path” at a crossroad in life (e.g. a career dilemma or the loss of a parent), economic opportunities and institutional incentives. Military migrants’ career motivations are shaped by their deep affection for the Crown and their desire to give back to the country with which they share a colonial history.

The UK’s Ministry of Defence, government and policymakers could gain valuable insights from this study. The findings could significantly shape their recruitment and retention policies, thereby enhancing the attractiveness of the military profession. This could be a crucial step in addressing the recruitment challenges and personnel deficit currently faced by the British Armed Forces.

This study provides a fresh perspective on the dynamics of the military service of foreign-born veterans. The article focuses on an underrepresented group (West-African military migrants) to enhance our understanding of their career motivations in the British Armed Forces. We identify and categorise the motivations and justifications for military migrants’ enlistment in the British Armed Forces according to seven justifications, each depicting a career pattern informing the participants’ motivations and justifications for their enlistment.

This review aims to investigate the impact of Industry 4.0 on talent development, emphasizing the need to redefine talent for the future of work. By exploring the evolving job requirements, the research seeks to map the competencies essential for success in Industry 4.0 and provide insights for developing talent to stay competitive in the digital era.

The review uses a comprehensive literature review to systematically trace the evolution of talent and identify the evolving competencies needed for Industry 4.0. Drawing upon established theoretical frameworks of resource-based view, human capital theory and organizational learning theory, this review identifies key factors influencing talent development and Industry 4.0 competencies.

The findings reveal that the emergence of automated technologies has altered the traditional understanding of jobs and highlights the importance of talent development aligned with Industry 4.0. By investing in developing Industry 4.0 competencies, organizations empower employees to navigate change and remain competitive. Effective talent management strategies contribute to retaining talented individuals and achieving sustainable competitive advantage for organizations.

This study has implications for educational institutions in guiding their curriculum, for organizations to identify the skills and talents necessary to adapt to Industry 4.0 and for the government to inform policy changes that contribute to the global economy and promote a skilled workforce.

This research contributes to the existing literature by comprehensively examining talent in the context of Industry 4.0. It offers a nuanced understanding of the role of talent management in the intersection of talent, competencies and changing technologies in future-proofing organizations.