Introduction:This study aims to comprehensively understand the existing literature on immersive technology in museum exhibitions, focusing on virtual reality (VR), augmented reality (AR), and the visitor experience. The research utilizes a bibliometric approach by examining a dataset of 722 articles with two main research objectives. Firstly, it seeks to analyze current trends in immersive technology literature, specifically emphasizing VR and the user experience in museum exhibitions through co-citation analysis. Secondly, it aims to identify emerging research trends using co-word analysis.Methods:The study employs a bibliometric approach, specifically co-citation and co-word analysis, to investigate trends and forecast emerging areas in the field, particularly the role of VR in the museum context.Results:The analysis reveals the presence of five interconnected thematic clusters in the literature. These clusters include (1) VR and AR-enhanced heritage tourism, (2) VR and AR-enabled virtual museums, (3) interactive digital art education in immersive environments, (4) immersive storytelling in virtual heritage spaces, and (5) mobile AR heritage revival.Discussion:The article highlights influential works within these areas, showcasing the historical evolution of the field and the current emphasis on utilizing VR to create immersive, educational, and engaging experiences for museum visitors. The findings indicate that research on VR applications for museum exhibitions has predominantly focused on profound game-driven experiences and interactive 3D heritage, resulting in improved visitor engagement and access to cultural content. The adoption of VR technology holds the potential to revolutionize user experiences within the cultural heritage sector and reshape the overall landscape of museums and exhibitions. By presenting these research trends, this study contributes to a deeper understanding of the vital role of VR in enhancing visitor experiences in museum settings. Furthermore, it paves the way for further exploration and innovation in immersive technology.

This study examines the factors influencing government employees’ cybersecurity behavior in Malaysia. The country is considered the most vulnerable in Southeast Asia. Applying the protection motivation theory, this study addresses the gap by investigating how government employees behave toward corresponding cyberrisks and threats. Using partial least-squares structural equation modeling (PLS-SEM), 446 respondents participated and were analyzed. The findings suggest that highly motivated employees with high severity, vulnerability, response efficacy, and self-efficacy exercise cybersecurity. Incorporating the users’ perceptions of vulnerability and severity facilitates behavioral change and increases the understanding of cybersecurity behavior’s role in addressing cybersecurity threats—particularly the impact of the threat response in predicting the cybersecurity behavior of government employees. The implications include providing robust information security protection to the government information systems.

This study provides a bibliometric analysis of smart hotel research, drawing from 613 publications in the Web of Science (WoS) database to examine scholarly trends and developments in this dynamic field. Smart hotels, characterized by integrating advanced technologies such as AI, IoT, cloud computing, and big data, aim to redefine customer experiences and operational efficiency. Utilizing co-citation and co-word analysis techniques, the research delves into the depth of literature from past to future trends. In co-citation analysis, clusters including "Sustainable Hotel and Green Hotel", "Theories Integration in Smart Hotel Research", and "Consumers' Decisions about Green Hotels" underscore the pivotal areas of past and current research. Co-word analysis further reveals emergent trend clusters: "The New Era of Sustainable Tourism", "Elevating Standards and Guest Loyalty", and "Hotels' New Sustainable Blueprint in Modern Travel". These clusters reflect the industry's evolving focus on sustainability and technology-enhanced guest experiences. Theoretically, this research bridges gaps in smart hotel literature, proposing new frameworks for understanding customer decisions amid technological advancements and environmental responsibilities. Practically, it offers valuable insights for hotel managers, guiding technology integration strategies for enhanced efficiency and customer loyalty while underscoring the critical role of green strategies and sustainability.

Employee performance plays a crucial role in the productivity of organizations, especially in the hospitality industry in Malaysia. This work performance is influenced by leadership style, and finding the type of leadership style that is suitable to apply to employees is crucial, especially in the midst of the COVID-19 pandemic. Transformational leadership theory is selected for this study in determining leadership styles. There are four dimensions under transformational leadership theory, namely idealized influence, individualized consideration, inspirational motivation and intellectual stimulation. Data were collected online from 400 employees working in the hospitality industry in Malaysia and analyzed using partial least square structure equation modeling (PLS-SEM). The findings show that only two dimensions of transformational leadership, namely idealized influence and inspirational motivation, have a significant positive influence on employee performance. Implications in the context of human resource management and recommendations to increase employee performance are also discussed.

This study utilizes bibliometric analysis to examine historical and present research patterns in the area of energy transition and green finance and to forecast potential future domains. Using the bibliometric method, 328 scholarly articles from the Web of Science database were evaluated. This paper identifies influential publications, maps the research landscape, and forecasts emerging tendencies through co-citation and co-word analyses. Co-citation analysis found three main clusters, while co-word analysis revealed four main clusters. Despite the growing significance of research on energy transition and green finance research, further in-depth investigation is necessary to offer a thorough depiction of the research domain. This research represents a pioneering endeavour in the utilization of bibliometric analysis to investigate the interrelationship between two items. It offers valuable insights into the rapidly expanding field of energy transition and green finance, effectively highlighting its contours and indicating potential future developments.