| Title |
Mapping and advancing employee resilience research: a bibliometric analysis |
| Authors |
Ramanauskaitė, Joana ; Staniškienė, Eglė ; Daunorienė, Asta ; Stankevičiūtė, Živilė |
| DOI |
10.1007/s44491-026-00001-0 |
| Full Text |
|
| Is Part of |
Management & marketing.. Cham : Springer Nature. 2026, vol. 21, iss. 1, art. no. 3, p. 1-17.. ISSN 1842-0206. eISSN 2069-8887 |
| Keywords [eng] |
employee resilience ; Job Demands-Resource (JD-R) theory ; Conservation of Resources (COR) theory ; psychological capital ; bibliometric analysis |
| Abstract [eng] |
Employee resilience refers to a developable capacity to bounce back from adversity, to adapt and even thrive in response to challenging events. As a result of economic, social and environmental challenges organizations are facing and given the turbulent work environment, interest in employee resilience has been increasing, leading to a growth in the number of publications. The aim of this paper is to reveal how this literature on employee resilience is currently structured. For this, a bibliometric analysis of documents collected from Scopus database, including performance analysis, co-citation analysis, and co-word analysis, was conducted. Such analysis provided an overview of the construct and allowed to identify thematic clusters. After that, a qualitative analysis of TOP20 most cited articles was carried out to define future research avenues. The results revealed the existence of five thematic clusters: (1) employee resilience as a capacity of positive organizational behaviour and dimension of psychological capital (green cluster); (2) Job Demands-Resource theory as a lens for understanding employee resilience (purple cluster); (3) Conservation of Resources theory as a lens for understanding employee resilience (red cluster); (4) leadership as a driver of employee resilience (blue cluster); and (5) deeper disclosure of employee resilience: the fundamental question requires further elaboration (yellow cluster). Turning to future research avenues, seven were disclosed: digital transformation and employee resilience; demographics shaping employee resilience; improvements in research design and measurement; bringing employee resilience into the domain of HRM; linking employee resilience with organizational resilience; antecedents of employee resilience; and outcomes of employee resilience. The current paper is expected to guide a new wave of research by providing an overview of the current status of the knowledge base. |
| Published |
Cham : Springer Nature |
| Type |
Journal article |
| Language |
English |
| Publication date |
2026 |
| CC license |
|
