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This study aims to examine how ethical leadership enhances the relationship between employee ethical behaviour and the job performance of employees in state-owned enterprises (SOEs).

This study was a survey, with data collected using a structured questionnaire. The study focused on employees from SOEs in Ghana. The sample covers 238 employees drawn from 10 SOEs. Data was analyzed using structural equation modelling.

The study concludes that employee ethical behaviour positively influenced the job performance of employees of SOEs in Ghana. The effect of ethical leadership on employee job performance was positively significant. Finally, ethical leadership positively moderated the effect of employee ethical behaviour on the job performance of employees of SOEs.

Future research should look at identifying the specific behaviours of ethical employees that influence improved job performance. Also, future research could conduct a comparative study of private-owned enterprises and SOEs.

Attention should also be paid to ethical leadership, as it strongly enhanced both employee job performance and the quality of employee ethical behaviour required for increased job performance of employees.

Extant studies have paid limited attention to understanding how the interaction between employee ethical behaviour and ethical leadership will enhance employee job performance.

Based on social and moral identification theories, this investigation aims to analyse how corporate greenwashing impacts employees' organizational citizenship behaviours for the environment (OCBEs), both directly and through job satisfaction and affective commitment.

Data collected from a questionnaire administered to 398 Portuguese employees who recognized greenwashing practices in their employer firms was analysed using structural equation modelling techniques through AMOS.

The results show that greenwashing has destructive effects on job satisfaction, affective commitment and OCBEs. This means that in the presence of greenwashing, the work environment is impacted to such an extent that employees are less eager to give their best: their voluntary actions aimed at environmental improvement fade. Thus, greenwashing adversely affects OCBEs, both directly and through job satisfaction and affective commitment.

This study advances the human resources management literature by providing an improved insight into the harmful consequences of greenwashing on employees' emotions and, consequently, their voluntary engagement in environmental extra-role activities that are not directly related to their contractual duties.

The purpose of this paper is to demonstrate the efficacy of machine learning (ML) in managing natural language processing tasks, specifically by developing two ML models to systematically classify a substantial number of food waste interventions.

A literature review was undertaken to gather global food waste interventions. Subsequently, two ML models were designed and trained to classify these interventions into predefined supply chain-related groups and intervention types. To demonstrate the use of the models, a meta-analysis was performed to uncover patterns amongst the interventions.

The performance of the two classification models underscores the capabilities of ML in natural language processing, significantly enhancing the efficiency of text classification. This facilitated the rapid and effective classification of a large dataset consisting of 2,469 food waste interventions into six distinct types and assigning them to seven involved supply chain stakeholder groups. The meta-analysis reveals the most dominant intervention types and the strategies most widely adopted: 672 interventions are related to “Process and Operations Optimisation”, 457 to “Awareness and Behaviour Interventions” and 403 to “Technological and Engineering Solutions”. Prominent stakeholder groups, including “Processing and Manufacturing”, “Retail” “Government and Local Authorities” and “NGOs, Charitable Organisations and Research and Advocacy Groups”, are actively involved in over a thousand interventions each.

This study bridges a notable gap in food waste intervention research, a domain previously characterised by fragmentation and incomprehensive classification of the full range of interventions along the whole food supply chain. To the best of the authors’ knowledge, this is the first study to systematically classify a broad spectrum of food waste interventions while demonstrating ML capabilities. The study provides a clear, systematic framework for interventions to reduce food waste, offering valuable insight for practitioners in the food system, policymakers and consumers. Additionally, it lays the foundation for future in-depth research in the food waste reduction domain.

This chapter highlights the key areas for the leadership and innovation research agenda in 2035. This agenda will direct researchers’ focus to the core transversal skills that individuals must have amidst the shift toward a greener and digitalized economy. Such skills include leadership, management, creativity, communication, and adaptability. The role of macro governmental policies and micro organizational policies is of great significance to ensure the implementation (if any) of these changes and of core to the research agenda. This chapter will also guide researchers to the challenges at the higher education level that need to be addressed to ensure the balance between the skills and knowledge acquired by workers through education and the needs of businesses in order to increase productivity and innovation.

The purpose of this paper is to examine the role of entrepreneurial passion, specifically venture obsession, in agentic relationships within entrepreneurial contexts. It aims to develop a new conceptualization of the role of the venture in these relationships and explore the negative impacts that can arise from the obsessive passion for the venture. The paper contributes to the literature by shedding light on the complexities of agency outside of large for-profit firms, unpacking components of self-interest in the agentic relationship and challenging the assumption that entrepreneurial passion is always beneficial for both the entrepreneur and the venture.

This paper employs theoretical framework development and conceptual mapping to explore the role of entrepreneurial passion, specifically venture obsession, in agentic relationships within entrepreneurial contexts. We conducted a comprehensive literature review and synthesis of existing research on agency theory, entrepreneurial passion and venture obsession. By integrating these insights, we developed a new conceptual framework that theorizes the negative impacts of venture obsession on agentic relationships and venture performance. This approach allows us to propose a nuanced model that highlights the complexities and potential maladaptive behaviors associated with obsessive passion in entrepreneurship.

Venture obsession can have detrimental outcomes, such as escalation of commitment and ignoring external feedback, due to the intense focus on protecting the venture at all costs.

The study highlights the impact of venture obsession on agentic relationships, emphasizing the balance between autonomy, competence and relatedness that entrepreneurs strive to maintain for their well-being. While previous research has explored the role of entrepreneurial passion and its effects on venture performance, this study extends the understanding by delving into the darker side of passion when it transforms into obsessive agency. By emphasizing the importance of maintaining a healthy balance in agentic relationships and considering the psychological well-being of entrepreneurs, this study adds nuance and depth to the existing knowledge on the subject.

This study aims to address two research questions: Do the decision modes on foreign partner selection post-entry vary between different types of family small and medium enterprises (SMEs)? How does socio-emotional wealth (SEW) affect (if so) decision modes in international partnership post-entry decisions (e.g. engagements with or changes of international partners) in different types of family SMEs?

This study employs a qualitative case study design of different types of family SMEs, namely, one family firm with a high level of family involvement in the internationalisation activities of the firm (FMH) and one family firm with a low level of family involvement in the internationalisation activities of the firm (FML).

The case study evidence indicates different decision modes on foreign partner selection post-entry in the investigated family SMEs: a bounded rationality mode in the FMH firm and a real option reasoning in the FML firm. The bounded rationality mode was linked with the appearance of SEW goals in the FMH firm, which in turn led to foreign partner engagements resulting also in a low speed of internationalisation growth. In contrast, the real option reasoning mode in the FML firm was not linked with SEW goals, and it led to international partner changes, resulting in a speedier internationalisation growth.

This study unearths the case that different types of family SMEs can employ different decision modes in their international partnerships, whereas SEW tendencies do not always appear.

This paper studies the impact of certain characteristics of companies to training programs in the Industry 4.0 (I4.0) context. Partial objective is to rank the main human barriers companies have to overcome so that they can digitalize.

To accomplish the objectives, a closed-ended questionnaire was sent to Slovak and Italian companies and analyzed using statistical nonparametric tests. The partial objective was achieved using the so-called Henry-Garrett’s ranking method.

Results show the significance impact of companies’ characteristics such as foreign participation and company dimension on training practices whereas economic situation (financial health) seems not to influence it.

The study may lack generalizability as only 102 answers were collected. Perhaps, the outcome would be different with another sample from other countries. Moreover, using closed-ended questions, certain features may not have been covered.

Companies should always guarantee training for the resulted benefits. It is fundamental for organizations to find a time gap, resources and professionals who can teach these programs. Even when companies are incurring financial problems they should do so since human capital development can increase their competitiveness. The most critical barriers should be carefully addressed by companies. Training can help to overcome I4.0 barriers related to Human Resources (HR) and contribute to its growth.

This paper gives insights of the impact of certain characteristics of companies to the training programs. Because past research has limited their analysis on the identification of barrier, its novelty lies in the attempt to rank the most significant barriers among those detected by other authors in previous research.

This study examines the need for an accounting curriculum to evolve in response to the changing business landscape. Specifically, this study aims to explore the relationship between various market forces, the shifting dynamics of business, and the importance of adapting accounting education to these changes.

This study is a combination of both quantitative and qualitative research. A structured questionnaire was administered to 320 professionals to gather data, and the study employed descriptive analysis, one-sample t-tests, and structured equation modeling to analyze the relationship between the variables.

The findings reveal a strong correlation between business transformation and the imperative to adapt accounting education. This study emphasizes the significance of modifying accounting curricula to align with the current market trends. Furthermore, this study addresses the pressing concern of sustainability and the triple bottom line (TBL), advocating specialized education in sustainability accounting programs.

Despite its contributions, this study acknowledges a limitation in its focus solely on the perceptions of professionals and academicians regarding the impact of business transformation on accounting education, without directly examining the prevailing accounting education system. Future research should address this limitation by undertaking a qualitative exploration of the actual accounting education landscape and market requirements.

The implications of the study span the theoretical, regulatory, environmental, and social domains, stressing the need for educational institutions, regulatory bodies, and industry to collaborate in shaping competent and future-ready accounting professionals. A systematic approach would validate and extend the findings of this study, providing deeper insights into the transformative processes necessary to enhance accounting education in response to evolving business landscapes and environmental dynamics.

The outcome of the study assists educational institutions and regulatory bodies in framing policies to adapt accounting education to the evolving business landscape by updating the accounting curriculum as per the changes in the market forces to make graduates relevant and competent.

The purpose of this study is to investigate managers’ decision-making processes when evaluating suggestions provided by human collaborators or artificial intelligence (AI) systems. We employed the framework of Social Comparison Theory (SCT) in the business context to examine the influence of varying social comparison orientation levels on managers’ willingness to accept advice in their organization.

A survey was conducted on a sample of 192 US managers, in which we carried out an experiment manipulating the source type (human vs AI) and assessing the potential moderating role of social comparison orientation. Results were analyzed using a moderation model by Hayes (2013).

Despite the growing consideration gained by AI systems, results showed a discernible preference for human-generated advice over those originating from Artificial Intelligence (AI) sources. Moreover, the moderation analysis indicated how low levels of social comparison orientation may lead managers to be more willing to accept advice from AI.

This study contributes to the current understanding of the interplay between social comparison orientation and managerial decision-making. Based on the results of this preliminary study that used a scenario-based experiment, future research could try to expand these findings by examining managerial behavior in a natural context using field experiments, or multiple case studies.

This is among the first studies that examine AI adoption in the organizational context, showing how AI may be used by managers to evade comparison among peers or other experts, thereby illuminating the role of individual factors in affecting managers’ decision-making.

Current study theoretically and technically analyzed the empirical literature on Graduate Employability Skills (GES) and aimed to investigate ten research questions: 1) the specific features of the retrieved empirical studies on GES, 2) the trends of empirical scientific production of GES, 3) the most relevant and high-impact sources in the field of GES, 4) clustering the sources through Bradford’s Law of Scattering, 5) the highly cited articles on GES, 6) the most relevant countries on GES, 7) the most pertinent and high-impact authors on GES, 8) authors' productivity through Lotka’s Law of authors’ Scientific Productivity, 9) the trending research avenues for future investigations on GES, and 10) identified research gaps relevant to the field of GES.

The Scopus database was used to extract data, and VOSviewer and Biblioshony tools were used for the study's bibliometric analysis and systematic literature evaluation.

The present study analyzed 864 sources containing 1816 articles from 4378 authors that address GES. Publications on GES were steadily increasing, with a notable upswing beginning in 2010 and reaching a record high of 232 articles in 2019. The UK, Australia, and Malaysia are the top three nations in terms of number of publications and cumulative citations. The thematic map of keywords revealed which themes future researchers need to investigate: work-integrated learning, entrepreneurship, industry 4.0, sustainability, management education, business education, project-based learning, education, curriculum development, learning, and graduate skills.

The present study provides theoretical, practical, and social implications for graduates, the higher education industry, policymakers, the economy, and society.