Improving educational outcomes in subjects such as English and mathematics remains a significant challenge for educators and policymakers. Strategic Human Resource Management (SHRM), which aligns human resource practices with organizational goals, has proven effective in business sectors but is less explored in educational contexts, especially from students’ perspectives. Existing studies often focus on teacher development, overlooking direct impacts on student performance. This research addresses the gap by examining how SHRM influences students’ performance in English and mathematics, incorporating student feedback to assess SHRM’s effectiveness. In the quantitative study, 200 students were analyzed to explore the relationship between SHRM practices and academic outcomes. The findings indicate that SHRM significantly affects student performance, with high predictive relevance and explanatory power in both subjects. The results suggest that strategic HR practices, such as professional development, performance management, and resource allocation, are critical to academic success. These insights provide valuable implications for educators and policymakers, highlighting the importance of integrating strategic HR management into educational frameworks to enhance curriculum design and resource distribution. The study demonstrates the broad applicability of SHRM across different academic disciplines, suggesting a need for comprehensive HR strategies that focus on both teacher and student performance. Future research should explore how SHRM influences educational outcomes and identify contextual factors that moderate its impact, enhancing effective HR practices in diverse academic settings.

The rapid digitalisation of business processes and the widespread adoption of remote work since the COVID‑19 pandemic have forced private enterprises to re‑examine the role of human resource management (HRM). Drawing on the resource‑based view, this study investigates how digital HR strategies—covering recruitment & selection, training & development, performance management and digital employee services—affect employee engagement and firm performance in a context where a significant portion of the workforce operates remotely. Using survey data from 150 employees and managers in 50 privately owned firms in Chongqing, China, supplemented by semi‑structured interviews with HR leaders, we develop a digital HR adoption index and test its impact on remote work effectiveness and organisational performance. The results show that higher levels of digital HR adoption positively influence employee engagement, reduce perceptions of relative deprivation and cyberloafing, and enhance remote work effectiveness. Regression analysis further indicates that remote work effectiveness mediates the relationship between digital HR adoption and organisational performance. Qualitative insights highlight the importance of leadership support, training and the integration of platforms such as WeChat Work, DingTalk and Tencent Meeting for managing remote teams. Our findings offer evidence‑based recommendations for private enterprises in emerging economies to align digital HR strategies with remote working arrangements, support employee well‑being and sustain performance.

The key goal of the study is to identify aspects of the implementation of blockchain technologies in human resource management and argue for the moderating role of institutional support. The need to introduce new technologies at both the tactical and strategic levels is substantiated. It is highlighted that the key core of modern organizations is the human resource management system. The role of integration of blockchain technologies in human resource management, which ensures the effective training of qualified personnel at the right time and in the right place, is argued. It has been determined that the introduction of blockchain technologies in human resource management facilitates the organization of cooperation between countries in updating skills and knowledge based on compliance with competency standards and corporate governance rules. A survey of 300 employees of the pharmaceutical industry in Jordan was conducted, which served as the basis for a multivariate analysis to confirm reasonable hypotheses. The results obtained are valuable and can be applied in practice in terms of determining the impact of the implementation of blockchain technology in the human resource management system and on the UTAUT structure, which in turn provides institutional support.

In recent years, awareness of sustainability has increased significantly in the hospitality industry, particularly within the hotel sector, which is recognized as a major contributor to environmental degradation. In response to this challenge, hotel managers are increasingly implementing green human resource management (GHRM) practices to increase Organizational Citizenship Behavior. Considering job satisfaction, and organizational commitment as mediator. A survey was conducted with 383 employees from three- and four-star Egyptian hotels and the obtained data were analyzed using SPSS version 22 and Amos version 24. Structural equation modelling was used to analyze the data. The study revealed that GHRM practices positively impacts Organizational Citizenship Behaviors (OCB), job satisfaction and organizational commitment in addition, the study found that job satisfaction and organizational mediates the relationship between Green Human Resource Management and Organizational Citizenship Behavior. The study found a positive link between GHRM and OCB, partially mediated by job satisfaction and organizational commitment. The recommend that implementation of GHRM practices in the hotel industry can have significant positive implications.

This study explored the relationships between green market orientation and competitive advantage, with a particular focus on the mediating role of green sustainable innovation. The research utilized a structured questionnaire to gather data from managers involved in environmental protection and professionals working in the manufacturing sectors of computers, electronics, optical products, and electrical equipment. The survey targeted respondents from key regions in Saudi Arabia, including Riyadh, Qassim, and the Eastern Province, resulting in a total of 273 responses. The collected data were analyzed using structural equation modeling (SEM), a robust statistical technique that allows for the examination of complex relationships between variables. The findings confirmed a mediational model where green sustainable innovation—comprising both green product and green process innovation—served as a critical intermediary linking green market orientation to competitive advantage. Furthermore, the study validated direct effects of green market orientation on both green sustainable innovation and competitive advantage. These results emphasize the dual pathways through which green market orientation influences business performance. The research concludes by offering actionable insights for Saudi managers, highlighting strategies to maximize profitability and competitiveness through the adoption and implementation of green sustainable innovation practices.

The main purpose of this paper was to examine the impact of generative artificial intelligence (AI) on employee well-being and work dynamics. Using qualitative methodology, three semi-structured interviews were conducted to investigate the implications of generative AI on employee outcomes such as efficiency, job satisfaction, ethical considerations, and work-life balance. The findings highlighted the potential benefits and risks associated with generative AI implementation in the workplace. The study contributed to the literature by adopting a qualitative approach, allowing in-depth exploration of individual experiences with generative AI in the workplace. The study discussed the implications for employers, employees, and society.