Psychological capital research in HEIs: Bibliometric analysis of current and future trends

• Main Authors: Xu, Jiahui, Liu, Qian, Wider, Walton, Zhang, Shuhan, Muhammad Ashraf, Fauzi, Jiang, Leilei, Udang, Lester Naces, An, Zhida
• Format: Article
• Language: English
• Published: Elsevier Ltd 2024
• Subjects: AI Indexes (General); HD28 Management. Industrial Management
• Online Access: http://umpir.ump.edu.my/id/eprint/42033/1/2024_Heliyon_Research%20landscape%20of%20energy%20transition%20and%20green%20finance.pdf; http://umpir.ump.edu.my/id/eprint/42033/; https://doi.org/10.1016/j.heliyon.2024.e24783

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.