Computational Framework of Workforce Agility: A Performance and Scientific Mapping Analysis

Authors

  • Bole Triveni
  • Sundari Dadhabai Business School, Koneru Lakshmaiah Educational Foundation, Green Fields, Vaddeswaram, A.P- 522302, India.
  • C. Supriya
  • V. Mydhili
  • Sureddy Siva Venkata Ramana

DOI:

https://doi.org/10.22399/ijcesen.1855

Keywords:

Workforce Agility, bibliometric analysis, performance analysis, scientific mapping, agile workforce

Abstract

In response to the continuously changing business environment driven by globalization, volatile markets, advancements in technology, and the switch to hybrid work culture after COVID-19, workforce agility emerged. The existing literature on workforce agility presents ambiguity for researchers, with conflicting views among authors, some suggesting that the field is still maturing, lacks systematic study, and remains underexplored. This paper gives an in-depth examination of the present state of workforce agility research, clarifying existing ambiguities and different viewpoints in the literature. This study utilized bibliometric analysis, including performance analysis and scientific mapping, on 223 workforce agility documents (2001–October 2024) from Scopus. Biblioshiny and VOSviewer software were employed. Literature on workforce agility was minimal in the early 2000s but began to grow steadily from 2015 onward. Business and management contributed 27.5% of the publications, with India emerging as the most productive country. This study identifies the most prolific authors, key themes, collaborating countries, and highlights multidisciplinary approaches to workforce agility.This study presents an up-to-date bibliometric analysis of workforce agility, conducted without imposing limitations on subject areas or document types, to provide a comprehensive view.

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Published

2025-04-24

How to Cite

Bole Triveni, Dadhabai, S., C. Supriya, V. Mydhili, & Sureddy Siva Venkata Ramana. (2025). Computational Framework of Workforce Agility: A Performance and Scientific Mapping Analysis. International Journal of Computational and Experimental Science and Engineering, 11(2). https://doi.org/10.22399/ijcesen.1855

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Research Article