Comprehending the Research on the Gig Economy: A Bibliometric Approach
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My academic journey has always been driven by curiosity about people at work — what motivates them, how they perform, and how organizations can support them better. Currently, I serve as an Assistant Professor in the area of Human Resource Management and Organizational Behavior. I hold a Ph.D. from the National Institute of Technology, Tiruchirappalli (NIT Trichy), where my research focused on understanding the performance dynamics of gig workers within the growing platform economy.
Before my doctoral studies, I earned an MBA in HR and OB from Kakatiya University, Warangal, and a B.Tech in Mining Engineering from IIT (BHU) Varanasi. This combination of technical and management education has helped me develop a balanced perspective that connects analytical thinking with human behavior.
My research has been published in Scopus and ABDC-listed journals, including Global Knowledge, Memory and Communication. I have presented my work at several national and international conferences, such as those organized by the National Academy of Psychology (NAOP) and NIT Trichy. I was also a visiting research scholar at the University of Missouri, Columbia (USA) under the SPARC project, where I explored how HRM practices impact gig workers’ well-being.
My academic interests include Digital HR, Talent Management, Job Design, Work Engagement, and Employee Performance. As a teacher and researcher, I strive to make learning meaningful by connecting theory with practice.
I believe growth happens when curiosity meets commitment — that’s where learning truly begins.
This study presents a comprehensive bibliometric analysis of the gig economy research landscape, examining global trends, influential authors, and key thematic areas over time. Using data extracted from the Scopus database and analyzed through tools such as VOSviewer and Biblioshiny, the paper maps intellectual structures and emerging research clusters within gig economy studies. It identifies how research has evolved around themes such as platform work, digital labor, and worker well-being. The findings provide valuable insights for future scholars by highlighting knowledge gaps and research directions. The study contributes to understanding the development of gig economy literature and serves as a foundation for advancing theoretical and empirical research in this domain. Source Link: https://doi.org/10.1108/GKMC-02-2023-0056
This empirical study investigates the determinants influencing performance among location-based gig workers. Drawing on survey data from urban gig workers, the research explores how job autonomy, flexibility, and person–job fit contribute to enhanced performance outcomes. Structural equation modeling (SEM) was employed to test the proposed relationships, revealing the significance of intrinsic work design elements and engagement in driving gig worker performance. The paper offers both theoretical and practical implications for human resource management within the platform economy, emphasizing how supportive HR systems can foster sustainable work environments for gig workers. The study advances existing HRM literature by bridging traditional performance models with the realities of platform-based work. Source Link: https://doi.org/10.1108/GKMC-01-2024-0032
Visiting Research Scholar – University of Missouri, USA (SPARC Project) Selected as a visiting scholar under the SPARC project (March–June 2024) to study HRM practices and well-being among gig workers.
ualified National Eligibility Test (NET), 2018 Qualified the National Eligibility Test (NET) in Human Resource Management, recognizing academic competence for university-level teaching and research in India.
