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Agency theory motivated this study, posing that leverage mitigates the agency problem. The aim was to examine whether leverage influences the relationship between executive-employee pay gaps (EEPGs) and firm performance. The study was conducted in the mining and retail sectors between 2012 and 2021.

Two EEPGs were featured based on their executive fixed pay and variable incentives accumulation. Proxies of firm performance were headline earnings per share; return on assets; earnings before interest, tax, depreciation and amortisation; and return on stock price. Data were collected from 76 JSE-listed firms in the retail and mining sectors and analysed using the two-step generalised method of moments.

The results revealed the hybrid implication of the pay gap for firm performance in the retail and mining sectors of South Africa, depending on the performance measures emphasised. More importantly, the study shows that with the moderating effects of leverage, firms can improve their performance while shrinking the pay gap.

The results have implications for policy addressing income inequality, debt management, executive compensation and regulatory reforms in South Africa concerning productivity and remuneration decisions.

The article provides specific literature for retail and mining industries on pay gaps, shows that it is possible to reduce the pay gap without compromising performance and suggests a new measure of performance that is more attuned to pay gap effect measurement.

This paper aims to empirically examine the impact of mandatory CSR disclosure on the CEO pay performance sensitivity.

Using the mandatory requirement of CSR disclosure as an exogenous shock, the authors compare the changes in CEO pay performance sensitivity for treatment firms with control firms through a difference-in-difference (DiD) approach.

The authors find that mandatory CSR disclosure enhances CEO pay performance sensitivity. The results also show that monitoring CEO power is a conduit through which mandatory CSR disclosure affects CEO pay performance sensitivity. The positive impact is more profound in firms with a powerful CEO, i.e. one who is politically well-connected, holds dual roles as both CEO and Chairman, and/or has had a long tenure. Furthermore, the increased CEO pay performance sensitivity after the mandate is prominent among state-owned enterprises (SOEs) only.

The findings of this paper have implications for other economies with similar institutional backgrounds as China. Although the mandatory CSR disclosure does not require firms to spend on CSR investment, the mandatory CSR disclosure alters firm behaviour, and mitigates agency problems.

This paper contributes to the studies on the impact of CSR disclosure on firms' behaviour. To the authors' knowledge, this is the first study to examine the effects of mandatory CSR disclosure on CEO pay performance sensitivity using the quasi-natural experiment settings.

This study aims to investigate the factors influencing the adoption of data analytics in performance management. By examining the role of organizational and environmental contexts, this study contributes to the existing literature by proposing a novel and detailed technology-organization-environment (TOE) model for the complex interplay between firm characteristics and the adoption of data analytics. The results offer valuable insights and practical implications for organizations seeking to leverage data analytics for effective performance management.

The research draws upon a data set encompassing over 21,869 companies operating across all European Union member states. A multilevel logistic regression model was developed to evaluate the influence of organizational and environmental factors on the likelihood of adopting performance analytics in organizations.

The findings indicate that the lack of awareness of the benefits of data analytics and its practical application to address specific business challenges is a significant barrier to its adoption. Organizational contexts, such as variable-pay systems, employee training, hierarchical structures and frequency of monetary rewards, also influence the adoption of data analytics.

The study informs managers about the strategic role of data analytics capabilities in performance management for improved business intelligence and driving data culture.

The study helps managers understand the strategic role of data analytics capabilities in performance management, leading to improved business intelligence and fostering a data-driven culture in five key areas: structural alignment, strategic decision-making, resource allocation, performance improvement and change management.

The study advances the TOE theory, making it a more detailed and complete framework, particularly applicable to the adoption of performance analytics. It identifies the main factors of adoption that play a crucial role in this process.

This paper aims to review empirical research on the relationship between institutional ownership (IO) and board governance (85 studies).

Based on agency and upper echelons theory, the heterogeneous monitoring function of specific types and the nature of institutional investors on board composition, compensation and chief executive officer (CEO) characteristics will be focused.

The author found that most studies have referred to archival studies, analyzed the impact of board governance on IO, focused on CEO characteristics, neglected IO heterogeneity and advanced regression models to address endogeneity concerns. In line with the theoretical framework, the relationship between total IO and board governance is heterogeneous. However, specific types such as foreign, dedicated and pressure-resistant institutions represent active monitoring tools and push for increased board governance.

The author provided useful recommendations for future research from a content and methodological perspective, e.g. the need for analyzing the impact of IO on sustainable board governance and other characteristics of top management team members, e.g. the chief financial officer.

As many regulatory bodies implemented regulations to promote shareholder rights and board governance, this literature review highlights the connections of both corporate governance mechanisms. Managers should conduct a careful and timely investor analysis and change the composition and compensation of the board of directors in line with institutional investors’ preferences.

This analysis makes useful contributions to prior research by focusing on IO and board governance, whereas the author structured the heterogeneous variables and results within the structured literature review. The authors guides researchers, regulatory bodies and business practice in this corporate governance topic.

Environmental degradation resulting from human activities may adversely affect human health in multiple ways. Until now, policies aimed at mitigating environmental problems such as climate change, environmental pollution and damage to biodiversity have failed to clearly identify and drive the potential benefits of these policies on health. The conducted study assesses and demonstrates how specific environmental policies and instruments influence perceived human health in order to ensure input for a data-driven decision process.

The study was conducted for the 2004–2020 period in European Union (EU) countries with the use of dynamic panel data modeling. Verification of specific policies' impact on dependent variables allows to indicate this their effectiveness and importance. As a result of the computed dynamic panel data models, it has been confirmed that a number of significant and meaningful relationships between the self-perceived health index and environmental variables can be identified.

There is a strong positive impact of environmental taxation on the health index, and the strength of this relationship causes effects to be observed in the very short term, even the following year. In addition, the development of renewable energy sources (RES) and the elimination of fossil fuels from the energy mix exert positive, although milder, effects on health. The reduction of ammonia emissions from agriculture and reducing noise pollution are other health-supporting factors that have been shown to be statistically valid. Results allow to identify the most efficient policies in the analyzed area in order to introduce those with the best results or a mix of such measures.

The results of the authors' research clearly indicate the health benefits of measures primarily aimed at improving environmental factors, such as environmental taxes in general. The authors have also discovered an unexpected negative impact of an increase in the share of energy taxes in total taxes on the health index. The presented study opens several possibilities for further investigation, especially in the context of the rapidly changing geopolitical environment and global efforts to respond to environmental and health challenges. The authors believe that the outcome of the authors' study may provide new arguments to policymakers pursuing solutions that are not always easily acceptable by the public.

This paper seeks to explore the effect of performance duration (rather than intensity) on the subsequent initiation of strategic change by firms. Specifically, the effect of outperformance and underperformance duration on strategic change, as well as the moderating effect of environmental dynamism, is studied.

Using a fixed-effects model, analyzing a sample of 34,907 firm-year observations from 1980 to 2018 across 112 industries mostly supported proposed hypotheses.

Results revealed a U-shaped relationship between outperformance duration and strategic change and an inverted U-shaped relationship between underperformance duration and strategic change. The moderation role of environmental dynamism was only partially supported.

This study examines a new dimension of performance feedback, namely duration, rather than the widely used intensity of performance feedback, to enhance our understanding of the behavioral theory of the firm.

This study aims to examine the impact of board characteristics on firm performance while also exploring the influential mechanisms that help Chinese listed companies establish effective boards of directors and strengthen their corporate governance mechanisms.

This paper uses machine learning methods to investigate the predictive ability of the board of directors' characteristics on firm performance based on the data from Chinese A-share listed companies on the Shanghai and Shenzhen stock exchanges in China during 2008–2021. This study further analyzes board characteristics with relatively strong predictive ability and their predictive models on firm performance.

The results show that nonlinear machine learning methods are more effective than traditional linear models in analyzing the impact of board characteristics on Chinese firm performance. Among the series characteristics of the board of directors, the contribution ratio in prediction from directors compensation, director shareholding ratio, the average age of directors and directors' educational level are significant, and these characteristics have a roughly nonlinear correlation to the prediction of firm performance; the improvement of the predictive ability of board characteristics on firm performance in state-owned enterprises in China performs better than that in private enterprises.

The findings of this study provide valuable suggestions for enriching the theory of board governance, strengthening board construction and optimizing the effectiveness of board governance. Furthermore, these impacts can serve as a valuable reference for board construction and selection, aiding in the rational selection of boards to establish an efficient and high-performing board of directors.

The study findings unequivocally demonstrate the superiority of nonlinear machine learning approaches over traditional linear models in examining the relationship between board characteristics and firm performance in China. Within the suite of board characteristics, director compensation, shareholding ratio, average age and educational level are particularly noteworthy, consistently demonstrating strong, nonlinear associations with firm performance. Within the suite of board characteristics, director compensation, shareholding ratio, average age and educational level are particularly noteworthy, consistently demonstrating strong, nonlinear associations with firm performance. The study reveals that the predictive performance of board attributes is generally more robust for state-owned enterprises in China in comparison to their counterparts in the private sector.

Hoping to increase the productivity of their employees, firms provide and expect their employees to use approved mobile apps. However, despite an intuitive appeal, the relationship between information technology usage and productivity is still seen as paradoxical. This study examines the relationship between employees' experience and engagement with business mobile apps provided by employers and its effects on employee work productivity.

Data from respondents who use employer-provided business apps were used to test the hypotheses. Measurement-corrected latent scores extracted from the PLS measurement evaluation were used in regression-centric assessment using PROCESS.

Results indicate that employee-users’ experience-based attributions of the business app, i.e. customization, performance quality and compatibility, have positive effects on productivity mediated by participation intensity. Further, work type (retail vs non-retail) and the depth of the employee user’s experience moderate experience-based attributions' indirect effects on productivity.

Unlike previous studies delving into this topic, this study focuses solely on the mediation and moderation effects for hypothesis testing. Specifically, this study investigates effects conditional on work type (retail vs non-retail), which the authors believe has significant implications for retailing. These findings have interesting implications for both future research and managers.

From the perspective of local government tax administration, the impact of geographic dispersion on the corporate tax burden is investigated in this paper.

Using unbalanced panel data with a sample of listed companies from 2003 to 2020 in China, this paper focuses on the effect of geographic dispersion on corporate tax burden and the mechanisms.

It is found that corporate tax burden is positively related to geographic dispersion. It is also found that geographic dispersion affects the corporate tax burden by increasing the effort of local government tax administration. In addition, the relation between geographic dispersion and corporate tax burden is more pronounced for local SOEs prior to the implementation of Golden Tax Project III and in cases where local governments face stronger financial pressure to obtain revenue.

This study has important implications for the promotion of the coordinated development of the regional economy, as well as the legalization, modernization and informatization of tax administration.

The existing literature on abusive supervision, defined as a perception by subordinates that their supervisor displays hostility toward them (but falling short of physical abuse), is deficient insofar as it fails to account for workgroup differences in employees' perceptions of abusive supervision. We therefore sought to study such differences, which refer to as “abusive supervision dispersion (ASD).”

We interviewed 40 employees from a variety of organizations in Australia, focusing on the role of affective events in ASD dynamics, with a view to understanding how this phenomenon relates to individual and team processes.

We found that ASD stimulates employees to harbor negative emotions and resentment toward their supervisor, causing them to perceive even positive events negatively. We found further that, while low ASD facilitates team-member exchange by forcing abused members to band together resulting in low team conflict, high dispersion facilitates formation of subgroups and high team conflict.

These findings illuminate the paradoxical nature of ASD and suggest that employees experience dispersion through three paradoxes: (1) dispersion paradox, (2) resentment paradox, and (3) team paradox. Overall, these findings suggest that subordinates' perceptions of high ASD are associated with detrimental impacts on team performance.