A BIBLIOMETRIC ANALYSIS ON JOB STRESS USING VISUALIZING NETWORK

Abstract

Job stress is the most prevalent issue of the current scenario. It is observed that one out of four employees is affected by stress; thereby, it has attained the interests of many researchers. The rapid evolution of job stress research papers in the last years resulted that there is a need to conduct a detailed analysis of literature in this field. To address this problem, some researchers published a few review papers on job stress from different perspectives. Nonetheless, papers have not been published on job stress with bibliometric analysis. In the present study, an attempt is made to investigate the job stress publications with bibliometric analysis. Scopus database is considered as a literature database. Through analysis, article, conference paper, book chapter, review, Letter, editorial, note, book, short survey, data paper, Erratum, Retracted, and Undefined retrieved from Scopus indexes from 2010 to 2020. The collected data is analyzed against six research questions. The results revealed valuable insight, including annual publications, top contributing authors, Journal & affiliation, type of publication, subject area, the top country in publication, and keyword network. It is found from the analysis that the interest of researchers in job stress was at a peak in 2016. The top research area associated with job stress includes medicine, Social Sciences, and Business Management & accounting. Lambert, E.G. contributed the most in job stress publications. These findings can guide future researchers to set up a baseline before instigating a job stress research work.