David (2011) defines strategic management as the art and science of formulating, implementing, and evaluating cross-functional decisions that enable organizations to achieve long-term goals. Mintzberg et al. (1998) distinguish between planned and emerging strategies, and state that managerial strategy includes the ability of leaders to direct internal and external conditions adaptively, rather than just based on rational plans. Strategic managerial can be understood as a comprehensive approach to leading an organization in a visionary and sustainable manner, each major decision is based on long-term thinking, understanding the competitive environment, and optimization of internal resources to keep the company relevant and competitive in a rapidly changing business ecosystem.

Schein (2010) defines organizational culture as a pattern of basic assumptions created, invented, or developed by a group of people as they learn to deal with external adaptation and internal integration issues. Hofstede (1991) states that organizational culture is the collective programming of the mind that

distinguishes the members of one organization from another, especially in terms of values, norms, and work practices. Organizational culture can be understood as a combination of values, habits, symbols, and daily practices that invisibly shape the mindset, behavior, and work atmosphere between members in the organization, and become the basis that determines success in facing changes and challenges.

Boxall & Macky (2009) emphasize that HPWS is not just a technical practice of HR, but also reflects a managerial philosophy that values employee participation, sustainable development, and a fair incentive system. Appelbaum et al. (2000) define HPWS as a system consisting of a set of HRM policies and practices that, when used together, can improve organizational effectiveness and enable employees to contribute optimally. High Performance Work Systems (HPWS) are a set of human resource management practices that are designed in an integrated manner to increase employee productivity, motivation, and engagement to achieve superior organizational performance.

From the results of the bibliometric analysis, it can be seen that the topics of Strategic Human Resource Management (SHRM) and High-Performance Work Systems (HPWS) dominate scientific discussions in the field of human resource management. This is reflected in the frequency of occurrence of keywords such as "strategic HRM", "HPWS", and "organizational performance" which have large node sizes in network mapping, showing high popularity and relevance in the literature. The development of this trend is also marked by the emergence of new concepts such as "algorithmic management", "digital HRM", and "workplace resilience", which are interconnected with the core topic, reflecting the evolution of research in line with digital transformation and adaptation demands in the crisis era.

The increase in the number of publications has occurred significantly since 2015, with the highest peak in 2017-2018 and in 2023 with the number of publications as many as 5 articles. This surge was triggered by organizations' need for adaptive HR strategies, especially post-COVID-19 pandemic and the rapid adoption of technologies such as AI and big data in HR management. Articles that discuss the integration of HPWS with digital technologies (e.g., studies by Wright et al. (2020) and Batistic (2022)) obtain the highest citations, demonstrating the strong influence of this theme in the development of management science. In addition, recent research (Kim, 2023; Arthur, 2024) highlights the importance of a human-centric approach in algorithmic system design, as well as the linkage between HPWS and sustainability (green HRM), in line with the global demand for responsible business practices.

These findings align with the organization's need for an HR framework that is not only technologically efficient, but also focused on employee resilience and long-term sustainability.

Table 1. List of Publication Trends and Citations

Bibliometric network analysis reveals several authors who dominate research on Strategic HRM and High-Performance Work Systems (HPWS), with significant contributions in shaping the direction of the literature development. Authors such as Wright, P.M. of Cornell University and Arthur, J.B. emerged as the centers of a research network, characterized by large nodes in visual mapping, reflecting their strong influence through publications that were frequently cited and became major references. Batistic, S. from Tilburg University and Kim, S. from the University of Toronto also stood out for their contributions in connecting the HPWS concept with the latest developments in the field of digital HRM and algorithmic management. The most influential primary sources come from prestigious journals such as Human Resource Management and the Journal of Applied Psychology, which consistently publish innovative research in this field. Institutions such as Cornell University, Tilburg University, and the University of Toronto are noted as major research centers, with strong international collaborations, although they are still dominated by Western perspectives. The contribution of these authors is not only evident from the number of their publications, but also from their role as pioneers in integrating traditional HRM approaches with the latest technological developments.

Table 2. List of Influential Authors and Affiliates

In the results of the networking analysis, it can be seen that Wright, P.M. and Batistic, S.. emerged as the most influential researcher in this field, with 3 and 2 publications focusing on the development of the concept of High- Performance Work Systems (HPWS) respectively since the 1990s. Other authors such as Kim, S. Dan Way, S.A. have also made significant contributions through their research on the impact of digital technology on HR practices, including the issue of algorithmic bias in performance evaluation. Several authors such as Trocey, J.B. and Arthur, J.B. play an important role as a link that unites research in the field of algorithmic management that is technical in nature with HPWS studies that focus more on organizational aspects. However, it can be seen that the majority of authors only have 1-2 publications, indicating that there is still limited ongoing collaboration among researchers. The dominance of HPWS research by Wright and Batistic, S. needs to be balanced with a new perspective that focuses on the issue of AI justice in human resources. These findings also underscore the need for more intensive cross-disciplinary collaboration to develop research on the integration of algorithmic management and HPWS more comprehensively.

The most relevant journals in this study are shown by the density of connections and the frequency of occurrence of keywords related to Strategic HRM and High-Performance Work Systems. Based on Scopus' data analysis, journals such as Human Resource Management, Journal of Applied Psychology, and Academy of Management Review are major publication centers that consistently publish innovative research in this field. These journals not only provide a platform for theoretical studies on the integration of HR strategies with high-performance systems, but also become a key reference in the development of HRM digital practices and organizational adaptation in the crisis era. Their contributions are reflected in a significant number of documents and an extensive network of citations, making them a credible source for researchers and practitioners alike.

Table 3. Most Relevant Journals

Keyword network analysis identified several dominant key phrases:

The influence of transformational leadership on the effectiveness of HR systems

In the visualized bibliometric concept map, it can be seen that there are six main clusters that are interconnected through keyword threads that represent theoretical and practical concepts in human resource management (HR). Each cluster represents a specific scientific focus, but the interconnectedness between the clusters shows that the HR approach is cross-disciplinary and interdependent. The links between the nodes indicate that the themes intersect. In the image, green clusters centered on keywords such as "article", "resource management", "conceptual framework", "employee" and "behavior" play the role of the main connecting nodes. This cluster shows a relationship with the light blue cluster, which contains keywords such as "algorithm", "algorithmic management", and "strategic HR", the light blue cluster shows the dominance of digital technology in HR decision-making. Its association with green clusters indicates that algorithmic technology cannot be separated from the strategic managerial framework in today's human resource management. The red cluster, which consists of keywords such as "benchmarking", "investment", and "adaptation", focuses on aspects of efficiency, performance evaluation, and social response. Its relationship with the green and blue clusters shows that strategic and digital approaches still need to consider social and inclusivity factors. In the yellow cluster consisting of the keywords "crisis", "contextual factors", and "perceived organizational support", this cluster is connected to the green and purple clusters showing the synergy between crisis adaptation, employee welfare, and high work systems. In the purple cluster, with the keywords "high performance work system", "HR role", and "job satisfaction", this cluster emphasizes HR practices that focus on high performance and its impact on employee welfare. This cluster is closely related to crisis factors and managerial framework theory.

Table 4. Evolution of keywords

The development of keywords in human resource management (HR) research shows that there is a progressive evolution of the topic over time. In the period before 2015, the research focus tended to be centered on operational efficiency and organizational performance evaluation, with the dominant keywords such as benchmarking, investment, and adaptation. The red clusters in visualizations reflect the tendency of traditional managerial approaches oriented towards performance and objective measurement. Entering the period from 2015 to 2019, there was a shift towards strengthening the conceptual foundation in the study of Human Resources. The green cluster containing keywords such as conceptual framework, employee, and behavior shows attention to the theoretical framework that explains employee behavior as a strategic factor in the achievement of organizational performance, the emphasis on a human-based approach began to grow in this period. Furthermore, between 2020 and 2022, research began to explore the integration of technology into HR practices, which was marked by the emergence of the terms algorithmic management, algorithm, and strategic HR. This trend is in line with digital transformation, data-driven decision-making and the adoption of AI in organizational processes. Since 2023 until now, the literature has developed in a humanistic and contextual direction in line with global challenges, such as crises, perceived organizational support, high performance work systems (HPWS), and HR roles. These keywords indicate a growing concern for organizational resilience, emotional support, and well-being and the meaning of work in the midst of uncertain global conditions.

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Figure 4. Hasil Co-occurance Analysis Overlay Visualization

The image shows the dynamics of time based on color:

Based on data from Scopus publication articles, this graph shows that the most dominant scientific publications occur among countries such as the United States, Australia, Canada, India, the United Kingdom and China, which contribute to topics related to human resource management (HR), especially in the fields of high performance work systems, strategic HR and algorithmic management. The United States looks significant with the number of documents almost double that of other countries.

This data indicates that these countries function as centers of science as well as great potential in shaping the direction of global research. This distribution pattern illustrates geographical inequality as most publications come from developed countries.

The Global South region such as Southeast Asia, Africa, and Latin America still has low representation in the production of international scientific publications. This shows the need to increase the participation of institutions from developing countries in global research, especially on highly relevant issues such as digital inequality, organizational adaptation and post-crisis work resilience.

An analysis of the trend of articles in the last five years in the human resource management (HR) literature shows a dynamic shift in focus as global challenges develop, digital transformation, and the need for organizations to remain adaptive. Based on bibliometric analysis of 50 of the Scopus database and keyword mapping through VOSviewer visualization, a number of key themes that have become dominant trends in contemporary academia can be seen. One of the most prominent trends is the strengthening of the focus on strategic human resource management and high-performance work systems (HPWS). This topic dominates the scientific discussion in the form of an exploration of the relationship between high-performance work systems and organizational resilience, especially in the face of crises such as COVID-19. Keywords such as "HPWS", "organizational agility", and "employee voice" are central in the visualization cluster, reflecting a shift from an administrative approach to a strategic approach that emphasizes the participation, adaptability and capabilities of HR in creating organizational value. Another trend is the increasing integration of technology in HR practices which is reflected in the popularity of keywords such as "algorithmic management", "digital HR transformation", and "AI-driven decision making". Recent studies examine the use of Artificial Intelligence and algorithms to improve decision-making

efficiency, although the ethical issues, openness of the system, and their impact on workers' mobility have not been fully resolved.

The topic of the humanistic dimension is also increasing, as shown by the emergence of keywords such as "employee well-being", "perceived organizational support", and "crisis". These topics show that a balance between technological efficiency and human well-being is an important goal in the design of the future work system. In addition, the emergence of keywords such as "contextual factors" and "cultural anthropology" indicates the importance of a locally-based approach in HR policy design. This proves that HR practices are always influenced by cultural values and organizational institutional systems.