Empirical evidence suggests that generational cohorts display behavioral differences due to rapid advancements in science and technology and enhanced living standards. However, systematic studies examining the behaviours of different generations and their impact on creativity and its various antecedents are scant. This study was undertaken to bridge this gap in the literature by focusing on how generational differences could impact a few behavioural antecedents and employee creativity. The antecedent behaviours examined include self-efficacy, organizational commitment, employee empowerment, and work engagement. Data for the study was collected online using structured, standardized questionnaires. Data were collected from 432 samples and analyzed using Smart-PLS. The results show that most of the proposed antecedents impacted creativity. However, generational differences did not moderate the relationship between the antecedents and creativity. The study will interest scholars and social scientists, as it is the first to be conducted in Saudi Arabia. The study also discusses the implications and limitations. It is expected that the findings of this study will trigger more studies.

The purpose of this research is to investigate the relationship between transformational leadership variables and organizational citizenship behavior (OCB) variables, investigate the relationship between job satisfaction variables and organizational citizenship behavior (OCB), and investigate the relationship between organizational commitment variables and organizational citizenship behavior (OCB). This research method uses quantitative methods. In this study, the researchers used a simple random sampling technique with a sample size of 368 SMEs employee. The data collection method for this research is by distributing an online questionnaire designed using a Likert scale of 1 to 7. The data analysis technique uses Partial Least Square—Structural Equation Modeling (PLS-SEM) and data analysis tools use SmartPLS software version 3.0. The stages of data analysis are validity testing, reliability testing and hypothesis testing. The independent variables in this research are transformational leadership, job satisfaction and organizational commitment, while the dependent variable is organizational citizenship behavior (OCB). The results of this research are that transformational leadership has a positive influence on organizational citizenship behavior (OCB), Job Satisfaction has a positive influence on organizational citizenship behavior (OCB) and organizational commitment has a positive influence on organizational citizenship behavior (OCB). The theoretical implications of this research support the results of previous research that transformational leadership, job satisfaction, and organizational commitment make a positive contribution to increasing organizational citizenship behavior in SME employees. The practical implication of this research is that SME owners apply transformational leadership, create work breadth and create organizational commitment within the SME organization to support increasing employee organizational citizenship behavior so that it can encourage increased performance and competitiveness of SMEs.

Objective: This study synthesizes current evidence on the role of Artificial Intelligence (AI) and, where relevant, Open Science (OS) practices in enhancing Human Resource Management (HRM) performance. It focuses on recruitment processes, ethical considerations, and employee participation. Methodology: A systematic literature review was conducted in Scopus covering the period 2019–2024, following PRISMA guidelines. The initial search yielded 1486 records. After de-duplication and screening using Rayyan, 66 studies (≈ 4.4%) met the inclusion criteria, which targeted peer-reviewed works addressing AI-supported HR decision-making. A combined content and bibliometric analysis was performed in R (Bibliometrix) to identify thematic patterns and conceptual structures. Results: Analysis revealed four thematic clusters: 1) Implementation and employee participation emphasizing human-in-the-loop approaches and effective change management; 2) ethical challenges including algorithmic bias, transparency gaps, and data privacy risks; 3) data-driven decision-making delivering higher accuracy, fewer errors, and personalized recruitment and performance assessment; 4) operational efficiency enabling faster workflows and reduced administrative workloads. AI tools consistently improved selection quality, while OS practices promoted transparency and knowledge sharing. Implications: The successful adoption of AI in HRM requires employee engagement, strong ethical safeguards, and transparent data governance. Future research should address the long-term cultural, organizational, and well-being impacts of AI integration, as well as its sustainability.

This study examined the factors influencing the organizational satisfaction of employees in public institutions. In the case of public institutions that must provide stable public services on behalf of the government, the organizational satisfaction of employees will be more important. In this regard, this study includes the perception of HRM and trust between employees as affecting factors, and the perception of HRM consisted of sub-components such as fairness of evaluation and excellence of education and training. Moreover, this study considered trust between employees as a mediator. In more specific, online surveys were conducted with 705 employees of public institutions in Korea, and the Structural Equation Model (SEM) was performed. The results indicated that the perception of HRM affected organizational satisfaction directly or indirectly. In addition, trust between employees mediated between all sub-components of perception of HRM and organizational satisfaction. Particularly, trust between employees has been verified to increase the influence of the perception HRM. Meanwhile, in the case of Korea, there are more public institutions than other countries, and many other countries are showing high interest in Korea’s public institution operation system. In this respect, dealing with Korean public institutions as examples provides important international implications.

This study investigates the impact of human resource management (HRM) practices on employee retention and job satisfaction within Malaysia’s IT industry. The research centered on middle-management executives from the top 10 IT companies in the Greater Klang Valley and Penang. Using a self-administered questionnaire, the study gathered data on demographic characteristics, HRM practices, and employee retention, with the questionnaire design drawing from established literature and validated measuring scales. The study employed the PLS 4.0 method for analyzing structural relationships and tested various hypotheses regarding HRM practices and employee retention. Key findings revealed that work-life balance did not significantly impact employee retention. Conversely, job security positively influenced employee retention. Notably, rewards, recognition, and training and development were found to be insignificant in predicting employee retention. Additionally, the study explored the mediating role of job satisfaction but found it did not mediate the relationship between work-life balance and employee retention nor between job security and employee retention. The research highlighted that HRM practices have diverse effects on employee retention in Malaysia’s IT sector. Acknowledging limitations like sample size and research design, the study suggests the need for further research to deepen understanding in this area.

Despite noticeable research interest, the labor-intensive Readymade Garments (RMG) industry has rarely been studied from the perspective of workers’ productivity. Additionally, previous studies already generalized that rewards and organizational commitment lead to employee productivity. However, extant research focused on the RMG industry of Bangladesh, which consists of a different socio-cultural, economic, and political environment, as well as profusion dependency on unskilled labor with an abundance supply of it, hardly considered job satisfaction as a factor that may affect the dynamics of compensations or rewards, commitment, and employee productivity. To address this research gap, this study analyzes the spillover effect of compensation, organizational commitment, and job satisfaction on work productivity in Bangladesh’s readymade garments (RMG) industry. Besides, it delves into the analysis of job satisfaction as a mediator among these relationships. We examined the proposed model by analysing cross-sectional survey data from 475 respondents using the partial least squares-structural equation model in Smart PLS 4.0. The findings show that higher compensation and organizational commitment levels lead to higher levels of job satisfaction, leading to greater productivity. This research also discovered that job satisfaction is a mediator between compensation and productivity and commitment and productivity, respectively. Results further show that increased organizational commitment and competitive wages are the two keyways to boost job satisfaction and productivity in the RMG industry. Relying on the findings, this study outlines pathways for organizational policymakers to improve employee productivity in the labor-intensive industry in developing countries.