The rapid digital transformation in Human Resource Management (HRM) has accelerated the adoption of Artificial Intelligence (AI) to optimize workforce engagement, enhance retention strategies, and drive talent management innovations. This study examines the impact of AI-driven HR systems on key performance indicators such as employee satisfaction, voluntary turnover, and HR operational efficiency. Empirical data collected from over 15 multinational organizations, encompassing 12,000 employee records across diverse industries, indicate that AI-powered HR solutions improve workforce engagement by 42%, reduce voluntary turnover rates by 27%, and increase HR process efficiency by 35%. AI-driven sentiment analysis enhances dissatisfaction detection by 33%, enabling proactive interventions. Additionally, AI-based predictive hiring models demonstrate 85% accuracy in forecasting employee attrition, compared to 72% for traditional HR models. The study employs a hybrid AI framework integrating logistic regression and Long Short-Term Memory (LSTM) networks to analyze employee engagement trends, job satisfaction fluctuations, and retention patterns over time. By leveraging AI-powered chatbots, predictive analytics, and intelligent automation tools, HR processes are optimized, reducing administrative workloads by 38% and improving response times from 20 hours to 1.5 hours. Comparative analysis with conventional HR approaches highlights AI’s superior ability to personalize career development plans and detect high-risk attrition cases, ensuring timely interventions. Despite these advantages, AI adoption in HRM presents challenges such as bias in decision-making, lack of transparency in AI-driven recommendations, and employee concerns regarding data privacy. This study addresses these challenges by proposing a scalable, explainable AI (XAI) framework that ensures fairness, transparency, and ethical compliance in AI-driven HRM systems. The research findings provide valuable insights for organizations aiming to integrate AI into HR strategies while fostering trust, employee engagement, and long-term workforce sustainability. By bridging the gap between academic research and real-world HR applications, this study offers actionable recommendations for optimizing AI-driven talent management in the modern digital era.

The integration of sustainability principles into human resource management has gained increasing scholarly attention, yet comprehensive frameworks addressing economic, social, and environmental dimensions simultaneously remain insufficiently developed. Whilst previous research has examined socially responsible HRM, green HRM, and sustainable work systems independently, the fragmented nature of these investigations limits understanding of how organisations can operationalise triple bottom line principles through strategic human resource management. This study employs a bibliometric analysis and systematic literature review to explore the incorporation of triple bottom line concepts into sustainable human resource management scholarship. Bibliometric data were collected from the Scopus database covering publications between 2015 and 2025, analysed using VOSviewer and Bibliometrix package in R to map intellectual structures, publication trends, and thematic evolution. The findings reveal substantial growth in sustainable HRM and green HRM research over the past decade, with three dominant typologies identified: socially responsible HRM, green HRM, and triple bottom line HRM. However, persistent challenges include conceptual fragmentation, inside-out economic orientations, and geographical imbalances in research contributions. The study contributes empirically by documenting intellectual evolution of triple bottom line research in sustainable HRM and conceptually by synthesising how economic viability, social equity, and environmental responsibility are progressively operationalised within human resource management domains.

This study aims to analyze the role of transformational leadership in optimizing human resource (HR) management in Islamic educational institutions. The main issue examined is how transformational leadership style, with inspirational, motivational, and spiritually-based characteristics, can contribute to the effectiveness of HR management systems in Islamic education, which have so far tended to be administrative and less strategic. This study uses a qualitative method with a literature study approach, analyzing various literature from 2020-2025 and previous research related to leadership, HR management, and Islamic values in education. The research results indicate that transformational leadership plays a significant role in improving teacher performance, building a collaborative and innovative work culture, and strengthening the integration of Islamic values in every aspect of human resource management. Additionally, transformational leadership can serve as an effective model for realizing adaptive, innovative, and quality-oriented HR management. This study recommends that future research develop an empirical model that examines the relationship between dimensions of transformational leadership and HR performance indicators in Islamic education across various types of institutions, such as madrasahs, pesantrens, and modern Islamic schools.

Human resources framework to obtain JACIE accreditation (SFGM-TC)

Cross-cultural human resource management is becoming increasingly relevant and in-demand as a managerial discipline in the context of growing cross-border economic activities. This necessitates an exploration into the specifics of managing people within diverse cultural contexts, which fosters deep understanding and respect for national differences while creating a favorable cultural environment to achieve synergy among employees and ensure sustainable organizational development. The article examines the concept of cross-cultural HR management, its characteristics, theoretical foundations, and provides an author’s interpretation of this notion. An empirical study on intercultural business relations involving Russian and Chinese workers was conducted through online surveys and narrative interviews with respondents from both nationalities who have experience interacting professionally. Key issues, limitations, and opportunities associated with managing individuals in multicultural environments were identified during this research. These findings formed the basis for practical recommendations aimed at enhancing the effectiveness of applying cross-cultural HR management methods as part of the organization’s overall human resources management system.

ABSTRACT The success of a human resource management (HRM) system or subsystem, such as a compensation system, hinges on its implementation—yet the microfoundations of this process remain underexplored. To address this gap, we conducted two studies. Study 1 surveyed middle managers and employees in six organizations to examine their attributions of problems with compensation systems and their perceptions of compensation system effectiveness. We found that both groups identified design problems; managers emphasized administrative problems, whereas employees focused on implementation problems. These differing attributions shaped their views of compensation system effectiveness. To further unpack the challenges middle managers face, we analyzed data from Study 2, a 6‐year long in‐depth case study, exploring how and why middle managers varied in their implementation strategies. We found that middle manager identification with the system and their perceived agency explained their implementation strategies, ranging from championing to compliance, and from appropriation to resignation. Together, the studies reveal persistent tensions between consistency and adaptation in HRM implementation. To address these tension, we introduce the concept of internal flexibility —the capacity of middle managers to adjust formal HRM practices during the implementation process to align them with their work unit's needs—as a critical yet underexplored dimension of HRM effectiveness.

This study examines whether an integrated human-talent system—incorporating recruitment/selection, development, appraisal/feedback, recognition, supportive leadership, and role utilization—is associated with job performance in a public technical organization. Using a quantitative, non-experimental, cross-sectional design, we surveyed 101 employees and constructed composite Likert indices for talent management and job performance. Reliability was acceptable (α = 0.850; α = 0.814). Kolmogorov–Smirnov tests indicated non-normal distributions (p < 0.001); thus, non-parametric procedures were used. Spearman’s correlation showed a moderate, positive association between overall talent management and job performance (ρ = 0.523, p < 0.001), with the “incorporate” process (competency-aligned recruitment/selection) displaying the strongest process-level link (ρ = 0.569, p < 0.001). Segment profiles (contract type, tenure, functional area, and gender) suggest unequal exposure to talent-supportive conditions within the workforce, which may help explain distributional differences in perceived performance. We discuss managerial implications for reducing intra-organizational disparities by ensuring fair access to development, feedback, and recognition systems. While the study does not directly measure well-being, the findings align with theoretical accounts that connect equitable access to talent resources with healthier work environments and better performance.

This study aims to analyze the human resource management system (HR) at the Daar El Qolam 3 Islamic Boarding School in Tangerang as a model of modern Islamic education management that integrates spiritual values with the principles of professionalism. This research focuses on three main aspects: (1) the management of teaching and education personnel, (2) the management of students through an integrated education and parenting system, and (3) the management and empowerment of alumni as part of the sustainability strategy of the Islamic boarding school. This study uses a qualitative descriptive approach using a case study method. Data were collected through observation, in-depth interviews, and documentation studies of internal documents of the pesantren, and analyzed using the Miles and Huberman interactive model. The findings show that HR management at Daar El Qolam 3 operates in a systematic and value-based manner. Faculty management is carried out through selective recruitment, training, competency certification, and performance evaluation based on moral and spiritual values. Student management is carried out in an integrative manner, combining academic education and character development through the MUMTAZA student organization as well as leadership and social programs. Alumni management is carried out through IKADEQ, an alumni organization that functions as a platform for collaboration and strengthening academic, social, and international networks with foreign universities. This study concludes that the success of HR management in Daar El Qolam 3 is supported by the internalization of Islamic values such as sincerity, simplicity, brotherhood, and responsibility into the modern managerial system. This model increases the attractiveness and competitiveness of Islamic boarding schools in the global era and serves as a reference for other Islamic educational institutions in building professional, spiritual, and sustainable human resource management.

PT XYZ is a canned crab processing company that continues to experience significant operational performance gaps despite implementing the Balanced Scorecard (BSC). Several key performance indicators, such as production time, defect rate, and product innovation, consistently fall short of their targets, indicating that the current BSC functions only as a monitoring tool and does not provide a quantitative foundation for selecting the most impactful improvement strategy. This research integrates the Balanced Scorecard (BSC) with the Simple Additive Weighting (SAW) method to prioritize five alternative strategies. The SAW analysis shows that Revitalization of the Human Resource Management System emerges as the highest-priority strategy, followed by Innovation Capability Development and Human Resource Capacity Building. These top three strategies demonstrate the strongest overall impact on improving operational performance, reinforcing the central role of human resources in driving sustainable efficiency improvements. The results also reveal that human-centered strategies generate a broader cascading effect across all KPIs compared to technology-focused alternatives. This pattern highlights that improvements in employee satisfaction and training hours act as leverage points that accelerate gains in production time, defect reduction, and innovation output. Overall, the findings confirm that strengthening HR systems creates long-term operational advantages that are more consistent and scalable for PT XYZ.

Flexibility has long been recognized as a key characteristic of effective HRM systems, yet empirical evidence regarding its outcomes—particularly in relation to innovation—remains limited. Drawing on dynamic capabilities theory, this study develops and tests a model examining the impact of flexibility-oriented HRM (FHRM) systems on firms’ innovation performance through absorptive capacity. The empirical analysis is based on data collected from 210 managers of SMEs operating in the electrical and mechanical industries in Tunisia. The findings highlight distinct effects of FHRM on the two dimensions of absorptive capacity—potential and realized AC. Moreover, the results show that absorptive capacity partially mediates the relationship between flexibility-oriented HRM systems and innovation performance. These findings extend theoretical understanding of HRM as an organizational antecedent of absorptive capacity and underline its strategic role in shaping innovation outcomes. The paper concludes with a discussion of theoretical and managerial implications, as well as limitations and directions for future research.

Organizations implement human resource management (HRM) practices to meet their strategic goals by means of influencing employee behavior. In today’s digital age, employee cybersecurity behaviors have become critical. Cybercrimes are on the rise, creating organizational liabilities, and tarnishing the corporate image. Organizational insiders or employees are vulnerable to attacks by malicious actors such as hackers. How employees become vulnerable is a burgeoning area of scholarship. In cybersecurity research, there have been calls to study how best to reduce this vulnerability. Despite research on employee deviance, currently little research exists on why employee unintentional actions or deviations can arise that make employees (and thus the organizations) vulnerable to cyberattacks. To address this issue, this interdisciplinary and conceptual work draws from multiple areas: cybersecurity, strategic Human Resource Management, and social cognition. I develop a model that unravels multi-level factors that impact employee vulnerability to cyberattacks. The model proposes different mechanisms through which an HRM system and organizational climate for cybersecurity relate to employee vulnerability to cyberattacks. This work also unpacks the role of employee cognitive load and employee vigilance towards cyber threats in influencing employee vulnerability. The ideas developed in this work contribute to the academic discourses on cybersecurity and strategic HRM.

This study investigates the role of Artificial Intelligence (AI) in enhancing Diversity and Inclusion (D&I) within Omani workplaces in alignment with Oman Vision 2040. The research aims to explore how AI can be integrated into Human Resource Management (HRM) systems to promote fairness, minimize bias, and support inclusive organizational practices. A mixed-method approach was used, combining quantitative surveys distributed across educational and governmental institutions and qualitative interviews that provided deeper perspectives from selected employees. Quantitative data were analyzed using descriptive and inferential statistics, including correlation, and regression through MS Excel and SPSS, while qualitative data were examined through thematic analysis. The findings indicate cautious optimism toward AI adoption: organizations demonstrate readiness to integrate AI into D&I initiatives, yet employees remain skeptical about its capacity to achieve genuine inclusivity. Trust in AI increased when systems demonstrated transparency, clear accountability, and meaningful human oversight; however, concerns continued to rise over biased datasets, regulatory gaps, and potential disruptions to the workforce. The study offers context-specific insights from Oman and highlights the need for ethical governance, inclusive data practices, and culturally sensitive frameworks to ensure that AI supports diversity rather than reinforcing inequalities.

This study investigates the impact of AI- and ML-driven Predictive Quality Orchestration (PQO) on enhancing test intelligence, defect forecasting, and compliance optimization within Agile DevOps environments applied to U.S. healthcare and Human Resource Management (HRM) systems. Employing a quantitative, predictive analytical approach, data were collected from five major organizations integrating AI-enabled DevOps practices. Using machine learning algorithms; Random Forest (RF), Long Short-Term Memory (LSTM), and Gradient Boosting Machine (GBM) the study developed and validated predictive models for quality orchestration. Results revealed that GBM achieved the highest predictive performance (accuracy = 94.5%, ROC-AUC = 0.96), while healthcare systems demonstrated superior test coverage, lower defect density, and faster resolution rates compared to HRM systems. Regression analysis confirmed significant positive relationships between AI Model Complexity, Data Quality Index, and Agile Process Maturity with key performance outcomes. Post-implementation, compliance deviation reduced by 61%, and audit readiness improved by 25.9%. These findings underscore that PQO not only improves software reliability and compliance assurance but also establishes a self-learning framework that continuously optimizes performance in critical, regulated environments. The study concludes that integrating AI-driven orchestration into DevOps pipelines is a strategic pathway to achieving sustainable, intelligent, and compliant software ecosystems.

The article examines the peculiarities of the transformation of the employee’s role in the context of digital modernization of enterprises. The process of transformation of the employee’s role is analyzed as a result of the active implementation of information and communication technologies, automation of production and management processes, and the growing importance of digital competence among personnel. It is determined that digitalization fundamentally changes the structure of labor relations, the functional responsibilities of employees, the system of interaction within teams, and management models. It is shown that a modern employee must combine technical, analytical, and communication skills, demonstrate flexibility of thinking, the ability to self-learn, and creatively solve tasks in a digital environment. The main directions of transformational processes are analyzed, namely the automation of routine operations, remote employment, the use of artificial intelligence platforms, as well as digital interaction within the enterprise. Particular attention is paid to the role of management structures in creating favorable conditions for staff adaptation to new technologies and the development of digital competencies. It was found that the key factors for successful transformation of the employee’s role include the formation of an innovative corporate culture, orientation toward continuous learning, development of digital leadership, and strengthening of employee motivation. In the modern labor market, there is a transition from standard functional duties to more complex roles that involve knowledge management, working with large volumes of data, and participation in strategic decision-making. This creates the need to analyze the transformation of labor activities, define new competencies, and develop models for the effective integration of employees into the enterprise’s digital environment. The practical significance of improving enterprise personnel policies, optimizing human resource management systems, and ensuring organizational competitiveness in the digital economy is revealed. It is concluded that the effective transformation of the employee’s role is a necessary condition for the sustainable development of the enterprise, its innovative dynamics, and socio-economic stability in the digital era.

The article investigates the institutional foundations and mechanisms for the implementation of state personnel policy in the public service system of Ukraine, emphasizing contemporary challenges and directions for improving human resource management. A comprehensive analysis of key state institutions responsible for the formation and implementation of personnel policy is conducted, including the National Agency of Ukraine on Civil Service, the Center for Assessment of Candidates for Civil Service, and post-graduate education institutions. The study characterizes the legal and regulatory framework that forms the basis for modernizing the human resource management system. Personnel management mechanisms are examined, including modern competitive recruitment systems, performance evaluation of civil servants through KPIs and efficiency indicators, material and motivational incentives, digitalization of personnel processes, and continuous professional development based on the principles of lifelong learning. The main challenges hindering the effectiveness of personnel policy are identified, such as high staff turnover, insufficient digital competencies of civil servants, and weak integration of HR technologies into public administration. Directions for improvement are proposed, including the introduction of an integrated electronic HR management system, enhancing the institutional capacity of the National Agency, strengthening coordination between central and local authorities, developing a competency-based personnel reserve, and adapting European standards of human resource management (SIGMA, OECD). The scientific novelty of the study lies in the comprehensive combination of the analysis of legal and regulatory support, institutional mechanisms, and practical aspects of personnel management, which allows for the development of recommendations to enhance the effectiveness of public service and the development of a professional personnel corps in Ukraine. The results obtained can be used to improve state personnel policy, form a personnel reserve, and enhance the institutional capacity of public administration bodies.

This study evaluates the implementation of Government Regulation Number 94 of 2021 concerning Civil Servant Discipline, assessing its impact on enhancing the effectiveness and accountability of public administration within Sidoarjo Regency. Civil servant discipline constitutes a critical instrument in bureaucratic reform oriented towards good governance and high-quality public services. This research employs a qualitative approach utilising William Dunn's policy evaluation model, which encompasses the dimensions of effectiveness, efficiency, adequacy, responsiveness, and appropriateness. Data were collected through documentary analysis of prevailing legislation, local government performance reports, SAKIP (Government Agency Performance Accountability System) reports, SPIP (Government Internal Control System) reports, and digital human resource management system documents. Data analysis was conducted qualitatively, employing source triangulation to ensure the validity of the findings. The evaluation results indicate that Government Regulation 94/2021 is effective in reducing work procedure deviations, enhancing public service consistency, and strengthening accountability through clear audit trails. Integration with the 'Smart ASN' (State Civil Apparatus) and 'e-Kinerja' (e-Performance) systems reinforces the objectivity of performance assessments and minimises subjectivity. However, challenges persist regarding aspects of organisational culture, supervisory capacity, and the quality of infraction documentation. This study concludes that consistent disciplinary enforcement, when integrated with performance management systems, serves as a driving force for bureaucratic effectiveness and accountability. It further accelerates the consolidation of regional bureaucratic reform, fostering a bureaucracy that is professional, maintains high integrity, and is responsive to societal needs.

This study investigates the relationship between electronic Human Resource Management (e-HRM) systems and organizational performance, focusing on four key components: Employee Self-Service (ESS), Manager Self-Service (MSS), Human Resource Information Systems (HRIS), and Applicant Tracking Systems (ATS). The primary aim is to determine how these digital HR tools influence overall organizational effectiveness. Using a quantitative research design, data were collected through structured questionnaires administered to HR professionals and managerial staff across various organizations. Statistical analyses, including regression modeling and robustness tests, were employed to evaluate the impact of each e-HRM component on organizational performance metrics. The results reveal that all four components have a significant and positive effect on organizational performance. These findings align with recent empirical studies, suggesting that digital transformation in HR facilitates improved efficiency, strategic decision-making, and talent management. The study concludes that the successful implementation of e-HRM systems can serve as a strategic lever for organizational success. Accordingly, it recommends aligning e-HRM strategies with business objectives, ensuring system scalability and integration, maintaining data accuracy, and providing comprehensive user training to enhance system adoption and utility.

Purpose This paper aims to examine how technological advancements and innovation affect the practices of attracting, recruiting, developing and retaining talents in the Vietnamese banking sector. It proposes an emergent toolkit to guide bank managers in improving the effectiveness of implementing technological advancements and innovation in talent management activities. Design/methodology/approach This study used a qualitative approach, conducting in-depth interviews with 15 human resource professionals from four distinct Vietnamese commercial banks. Thematic analysis, a technique that enables the identification and interpretation of recurring themes within the interview data, was conducted. This research method allows the researcher to gain insights into the research problem from the participants’ perspectives. Findings The findings indicate that technological advancements and innovation have significantly enhanced talent management practices in the Vietnamese banking sector. Many banks have developed integrated human resource management systems based on a hybrid model of on-site and cloud computing technology. These systems allow managers to automate, manage, evaluate and make decisions on various human resource operations and activities accurately and efficiently. Additionally, technological advancements and innovation have enabled Vietnamese banks to reach a larger pool of potential candidates, reduce hiring time and foster e-learning programmes. However, technology cannot fully replace the human element in all aspects of talent management within the Vietnamese banking sector. Research limitations/implications The limitations of this research include a lack of quantitative methods to evaluate and substantiate the influence of technology-related factors on talent management effectiveness. Moreover, this study does not incorporate input from other key stakeholders such as employees and managers from other departments and hierarchical levels. Future studies should focus on addressing these limitations by using mixed methods and including a wider range of participants to produce more in-depth and comprehensive findings. Practical implications The authors have developed a new toolkit designed to assist with the application of technology in talent management practices within Vietnamese banks. This toolkit provides guidance on using technological advancements and innovation across various stages of talent management and offers practical tips for enhancing the effectiveness of these processes. The recommendations in the toolkit serve as valuable resources for managers, helping them implement talent management activities in the face of rapid technological advancements and innovation. Originality/value This study presents a practical model of suggestions for implementing technology in talent management within a specific industry, offering a novel approach compared to prior research. It also provides valuable insights for bank managers on enhancing the effectiveness of technological advancements and innovation in talent management by selecting appropriate technological tools. Furthermore, this study proposes a conceptual framework explaining the impact of digital transformation maturity on aspects of talent management effectiveness. This study contributes to the theoretical development of talent management practices, particularly in the context of a rapidly evolving business environment driven by technological advancements and innovation.

This study aims to examine the impact of Human Resource Management System No. (33) Of 2024 on the performance of public sector employees in Jordan. It also seeks to explore the perspectives of senior management, as they are key decision-makers and direct supervisors of the system's implementation within public sector institutions In light of significant developments; employee performance has become one of the most influential factors in achieving institutional goals and enhancing operational effectiveness. In practice, Jordan's public sector exhibits noticeable discrepancies in employee performance levels. This is attributed to a set of organizational and administrative challenges, most notably the weakness of adopted evaluation systems, inadequacies in training programs, low motivation levels, and the absence of a clear link between individual performance and institutional strategic goals. The study employed a descriptive analytical methodology through the design of a questionnaire to collect data on the study variables. The questionnaire was distributed to a sample of (235) directors. Data were analyzed using appropriate statistical methods. The results indicated a statistically significant impact of the Human Resource Management System and its dimensions (recruitment, selection, training and development, performance appraisal) on employee performance in the Jordanian public sector. The study recommended that government institutions design specialized training programs aligned with administrative and technological advancements, and that they monitor the impact of these programs on improving job performance.

Purpose To analyse the HRM response to the coronavirus disease 2019 (COVID-19) pandemic by an organisation severely affected by the subsequent crisis, i.e. Nav Canada. Design/methodology/approach The paper draws on data from a large-scale study of air navigation service providers and presents a case study of Nav Canada that is comprised of interviews, focus groups and secondary source data analysis. Findings Several lenses through which the HRM signal passes are identified that are used by the trade union to refract the HRM signal before relaying it both to stakeholders within the organisation, i.e. its members, and to stakeholders beyond the organisation, in this case, the general public and the Canadian government. Research limitations/implications Future research might explore the degree to which lenses amplify or refract the HRM signal, assessing which is most effective to ensure amplification and avoid refraction and under what conditions. Research that assesses the comparative efficacy of temporal versus among group (in)consistency or in HRM policies and HRM processes (and in particular the employment relations climate) in forming lenses is especially welcome. Longitudinal studies that explore the attitudes of workers to the HRM signal over time, explaining why changes in attitudes are observed, will be highly instructive. Practical implications The study reveals the dangers of responding to crises with alacrity and without the cooperation and buy-in (or consensus) among workers and their trade unions. Where difficult decisions have to be made, the manner in which they are made is an important influence on how trade unions and employees are likely to respond. Originality/value The HRM system strength model and HRM signalling theory are advanced via the application of the lens metaphor, by which it is possible to include aspects of the broader employment relationship that are often omitted from mainstream HRM analysis. The paper also explains the role of the trade union in the HRM signalling process.