The purpose of this paper is to evaluate the influence of environmental, social and governance performance on the economic performance of the Standard & Poor’s 500 companies. Structural equation modeling and linear regression have been utilized to measure the overall and individual influence of environmental, social and governance (ESG) performance on economic performance using longitudinal data comprising the years from 2010 to 2015. The overall ESG model had a significant relationship on economic performance. Furthermore, the findings of this study show that social and governance performance significantly affects economic performance in all regression models. However, environmental performance failed to show a significant relationship. The research contributes to the literature by providing insights for investors, managers and employees about the influence of ESG performance on company performance.

This study measured the perceptions of prospective employees (university students) towards organizations practicing green human resource management and how these perceptions could influence their future green behavior in the workplace. The sample of the study consisted of students from the largest university in North Cyprus and 400 questionnaires were administered with 342 valid responses being returned. The data was tested by confirmatory factor analysis by using analysis of moment structures (AMOS) software version 24.0 and factor, regression, and correlation analyses were conducted. The data analysis revealed that green human resource management had a direct influence on prospective employees’ perceived green task-related and voluntary behaviors and an indirect influence via the mediation of psychological green climate perception. The importance of incorporating sustainable dimensions within HRM departments, as well as the function of GHRM practices in achieving sustainability, was highlighted in this study. This study further contributes to the literature of behavioral HRM and focuses on the green side of HRM to contribute to the environmental management literature as well as providing insight into prospective employees’ (students) perceptions of GHRM practices, which will create an impact on their future green workplace behaviors.

The ability of management to influence employee attitudes and behaviours towards organizational goals is pivotal for an organization’s competitiveness, development, and survival. The study’s objective was to investigate the link between entrepreneurial leadership, competitive advantage, and manufacturing development, mediated by employees’ innovative behaviour, via the lens of resource-based view theory. Convenience sampling was used to collect quantitative data from the 378 manufacturing sector employees through the use of a cross-sectional design. There is a lack of research on the underlying mechanisms by which leaders influence organizational processes, such as innovation stimulation. This study explores the psychological mechanisms influencing entrepreneurial leadership and employee innovative behaviour, revealing that entrepreneurial leadership reduces work uncertainty, encourages innovation, and significantly impacts a firm’s competitive advantage in the market. The findings of the study revealed that entrepreneurial leadership fosters an encouraging and supportive environment in the workplace, which in turn leads to a sustainable competitive advantage. Additionally, the findings showed that innovative behaviour significantly mediates the relationship between entrepreneurial leadership and competitive advantage. By expanding the applicability of resource-based view theory, the results of this research also contribute to the comprehension of the interplay between innovative attitudes, manufactural development, competitive advantage, and leadership, specifically in the context of manufacturing sector organizations.

Leadership is crucial to moving society and organizations from one stage to another. Strategic planning is required to sustain the quality of education due to the changing features of students and the construction of many higher educational institutions in Nigeria. However, because higher education is evolving, leaders’ strategic thinking constantly shifts. This study examines the effect of strategic planning on transformational leadership towards attaining the organizational performance of higher education institutions in Nigeria. This study used a sample of 388 staff from 48 state universities in Nigeria. The findings indicate that strategic planning positively influences transformational leadership and organizational performance. Moreover, transformational leadership positively mediates strategic planning and organizational performance. We empirically validate the role of strategic planning in enhancing the performance of higher education institutions. Also, strategic-planning-focused and transformational leadership processes can be critical for facilitating the proper guidelines to improve higher education institutions’ performance.

This study aims at investigating the mediating impact of business intelligence, innovation speed and innovation quality on the relationship between the different components of intellectual capital and competitive advantage in the context of Jordanian companies. To achieve this, the study developed a theoretical framework that depicts the mediation through data that were collected randomly, from the pharmaceutical and medical supplies companies, with a total sample of 569 participants. Data were analyzed using structural equation modeling, SEM (CB-SEM), for model fit and Process software for path analysis to estimate the different indirect effects. The findings provide evidence that all mediators serve differently as important mediating mechanisms between the different components of intellectual capital and competitive advantage. Overall, the results of this study show and clarify the mediating mechanism of business intelligence, innovation speed and innovation quality, as mediators through which human capital, structural capital and relational capital improve competitive advantage in the context of Jordanian companies.

The rapid growth in the use of AI techniques, mainly machine learning (ML), is revolutionizing different industries by significantly enhancing decision-making processes through data-driven insights. This study investigates the influence of using ML, particularly supervised and unsupervised learning, on rational decision-making (RDM) within Jordanian e-government, focusing on the mediating role of trust. By analyzing the experiences of middle-level management within e-government in Jordan, the findings underscore that ML positively impacts the rational decision-making process in e-government. It enables more efficient and effective data gathering, improves the accuracy of data analysis, enhances the speed and accuracy of evaluating decision alternatives, and improves the assessment of potential risks. Additionally, this study reveals that trust plays a critical role in determining the effectiveness of ML adoption for decision-making, acting as a pivotal mediator that can either facilitate or impede the integration of these technologies. This study provides empirical evidence of how trust not only enhances the utilization of ML but also amplifies its positive impact on governance. The findings highlight the necessity of cultivating trust to ensure the successful deployment of ML in public administration, thereby enabling a more effective and sustainable digital transformation. Despite certain limitations, the outcomes of this study offer substantial insights for researchers and government policymakers alike, contributing to the advancement of sustainable practices in the e-government domain.