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This paper offers a new perspective on the potential motivation for the adoption of employee ownership based on market power. Employee ownership may be linked to market power, either through contributing to firm growth that leads to market power or through industry leaders adopting employee ownership as part of rent sharing or a broader consolidation of market position. Both employee stock ownership plan (ESOP) coverage and product market concentration (PMC) have been increasing in the past two decades, providing a good opportunity to see if and how these are related.

The authors predict ESOP adoption and termination using multilevel regressions based on 2002–2012 firm- and industry-level data from the Census Bureau, Compustat and Form 5500 pension datasets.

The authors find that the top four firms in concentrated industries are more likely to adopt Employee Stock Ownership Plans (ESOPs), while having an ESOP does not predict entering the top four, apart from firm-level predictors. Tests indicate the first result does not reflect simple rent sharing with employees but instead appears to reflect an effort by firms to consolidate market power through the attraction and retention (or “locking in”) of industry talent. Other positive predictors of ESOPs include company size, being in a high-wage industry and having a defined benefit (DB) pension.

To better distinguish among hypotheses, it would be helpful to have firm-level data on managerial attitudes, strategies, networks and monopsony measures. Therefore, future research using such data would be highly useful and encouraged.

The paper includes implications for the potential usefulness of ESOPs in attracting and retaining talent and for the design of nuanced policy to encourage more broadly based sharing of economic rewards.

While prior research focuses on firm-level predictors of employee ownership, this study uses market concentration and other industry-level variables to predict the use of ESOPs. This study makes a unique contribution, broadening the current thinking on firm motives and environmental conditions predictive of firm ESOP adoption.

The purpose of this study was to investigate forgiveness and mental well-being amongst Forgiveness and mental well-being were investigated amongst British European and Nigerian African samples to compare and determine the similarities and differences in dispositional forgiveness levels between the two populations conducted in terms of their general samples, gender and age and the difference in mental well-being scores between the two samples. Finally, the relationship between forgiveness and mental well-being in both groups was examined.

The Bolton Forgiveness Scale and the Short Warwick–Edinburgh Mental Well-Being Scale were administered to the participants (Nigerian n = 1,164, British n = 855). SPSS was used to analyse data; a series of t-test was conducted; and Eta-squared and Z-value were calculated to determine the magnitude of each significant difference among variables and the magnitude of the difference in the correlation coefficient among variables, respectively.

Statistically significant results suggested significant differences in the way and manner dispositional forgiveness is conceptualised and practised within one group relative to the other, whereas non-significant results indicated similarities in forgiveness opinions and practises between the two groups. Overall British sample, men and those aged 36–55 reported higher levels of forgiveness than their Nigerian counterparts. However, Nigerians under the age of 35 reported higher levels of forgiveness than their British counterparts, and there was no statistically significant difference between the forgiveness levels of British and Nigerian women. Furthermore, the British total sample, men and women, all had higher well-being scores than their Nigerian counterparts.

Forgiveness varies according to culture. The findings of this study suggest that the individualistic/collectivistic cultural arguments long held by some authors may not adequately explain the differences and similarities in forgiveness conceptualization and practise across cultures. As a result, research may focus on a variety of factors such as educational background, income, socioeconomic level and religion, among others. Second, consistent with previous studies, this research suggests that forgiveness is positively related to mental health and well-being. Finally, one of the limitations of this study is its exclusive focus on two countries, namely, the UK and Nigeria. Future research could include more countries with both individualistic and collectivistic societies.

This paper, which is, to the best of the authors’ knowledge, the first to examine forgiveness and mental well-being in a comparative perspective between British European and Nigerian African samples, has made a unique contribution to the forgiveness and mental well-being literature and in particular, has provided a solid foundation and resources for future research of a similar nature in Africa, where little or no research had been conducted previously.

This paper aims to contribute to this special issue on interpretivist research methodologies and the phygital consumerist landscape by exploring some underlying issues within the specific context of luxury consumption. The paper starts with a critique of current research, drawing particular attention to problems of reductionism, poor representativeness and weak contextualisation in research that adopts a positivist epistemology. The paper then highlights some of the contributions that interpretivist scholarship is making, and can potentially make, to our understanding of the experiential and humanistic aspects of luxury consumption, presented in a nuanced, discursive and deeply contextualised manner.

This commentary is informed by an in-depth examination of the methodology and approach adopted in the 327 most-recently published academic articles on luxury (from late-2021).

This opinion piece suggests the need for a sea-change in the way that scholars approach luxury research in online, offline and hybrid phygital settings to capture and convey its true complexity, diversity, contingency and contextuality and its emotional and symbolic character, and to help ensure that it delivers findings that are of relevance and value to luxury industry practitioners.

To the best of the authors’ knowledge, this is the first paper to look comprehensively and critically at the methodological approaches adopted by academics writing in the field of luxury consumption.

This paper aims to propose a simulation-based performance evaluation model for the drone-based delivery of aid items to disaster-affected areas. The objective of the model is to perform analytical studies, evaluate the performance of drone delivery systems for humanitarian logistics and can support the decision-making on the operational design of the system – on where to locate drone take-off points and on assignment and scheduling of delivery tasks to drones.

This simulation model captures the dynamics and variabilities of the drone-based delivery system, including demand rates, location of demand points, time-dependent parameters and possible failures of drones’ operations. An optimization model integrated with the simulation system can update the optimality of drones’ schedules and delivery assignments.

An extensive set of experiments was performed to evaluate alternative strategies to demonstrate the effectiveness for the proposed optimization/simulation system. In the first set of experiments, the authors use the simulation-based evaluation tool for a case study for Central Florida. The goal of this set of experiments is to show how the proposed system can be used for decision-making and decision-support. The second set of experiments presents a series of numerical studies for a set of randomly generated instances.

The goal is to develop a simulation system that can allow one to evaluate performance of drone-based delivery systems, accounting for the uncertainties through simulations of real-life drone delivery flights. The proposed simulation model captures the variations in different system parameters, including interval of updating the system after receiving new information, demand parameters: the demand rate and their spatial distribution (i.e. their locations), service time parameters: travel times, setup and loading times, payload drop-off times and repair times and drone energy level: battery’s energy is impacted and requires battery change/recharging while flying.

Technological innovation, digitalisation and the Industry 4.0 revolution radically changed business management and contributed to the achievement of sustainability goals. While many studies analyse technological innovation, and Industry 4.0 in particular, the technical aspects of its contribution/impact on sustainability remains partially analysed, especially in relation to Industry 4.0 enabling technologies. This study investigates the contribution of Industry 4.0 enabling technologies on sustainability in innovative firms.

The sustainability reports of the 50 most innovative companies based on Boston Consulting Group (BCG)'s 2022 raking is analysed through a content analysis. In the reports, enabling technologies are analysed in relation to their contribution to sustainability.

The results shed light on the application of Industry 4.0 enabling technologies in sustainability practices based on the communication in the firms' sustainability reports. The results indicate that enabling technologies support the three pillars of sustainability in different business processes.

The results have theoretical and managerial implications that broaden the study of enabling technologies and sustainability while also suggesting a future research agenda.

This study aims to address the gap in the literature regarding the contribution of Industry 4.0 enabling technologies to sustainability.