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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. GIG ECONOMY AS A RESEARCH AGENDA: A BIBLIOMETRIC ANALYSIS
    Mano Ashish Tripathi, Dr Ravindra Tripathi, Uma Shankar Yadav
    Journal of Data Acquisition and Processing, 2023, 38 (1): 1074-1090 . 

    Abstract

    Mobile devices, apps, and online platforms have all contributed to the rise of the "Gig economy," in which companies (job providers) can use the market to find and recruit workers on a project-by-project basis (job seeker). Because of the gig economy, independent workers now have more options for finding contract work and other types of temporary employment than they did in the past. This paper presents a bibliometric analysis of the global viewpoint on the gig economy in a systematic assessment of the literature. For this study, we will look at published papers about the gig economy. Between 2014 and 2022, 2297 documents containing the keyword "gig economy" were extracted from Google Scholar, Scopus, and Web of Science. Only 686 papers were chosen for the bibliometrics study after applying specified criteria. Research on the gig economy was analysed using bibliometric indicators and a review of the selected papers. The results were obtained using Bibliometrics, Rstudio software tool for bibliometric and co-citation analysis. Co-occurrence of terms was also analysed using VOSviewer. Research trends, top authors and nations, and most referenced publications and keywords are highlighted in the results.

    Keyword

    Gig Economy, Digital Platforms, Bibliometric Analysis, Rstudio,


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ISSN 1004-9037

         

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