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Fusion: Practice and Applications
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Title

Utilizing Big Data Analysis for the Fusion Examination of Labor Market Evolution within the Gig Economy

  Muhammad Eid Balbaa 1 * ,   Astanakulov Olim Tashtemirovich 2

1  Tashkent State University of Economics, Uzbekistan
    (m.balbaa@tsue.uz)

2   International Islamic Academy of Uzbekistan, Uzbekistan
    (astanakulov@gmail.com)


Doi   :   https://doi.org/10.54216/FPA.150105

Received: August 07, 2023 Revised: November 18, 2023 Accepted: February 14, 2024

Abstract :

The advent of the gig economy has triggered an unprecedented transformation in labor markets worldwide. Leveraging an intricate network analysis, this paper aims to delve into the multi-layered complexities of labor market metamorphosis within the context of a digital gig economy. We construct a bipartite labor-market network model that allows us to explore the nexus between gig workers and employment platforms using a robust set of parameters – connectivity, centrality, and clustering coefficient. Consequently, our empirical investigation elucidates how traditional labor market paradigms are being disrupted, engendering the emergence of new socio-economic stratifications. The results unveil a counterintuitive network structure where high centrality does not necessarily correlate with enhanced economic benefits for gig workers. Moreover, the findings underscore the potential pitfalls of a skewed clustering coefficient, manifesting as increased vulnerability to systemic shocks. The ubiquity of digital technology has engendered a seismic shift in economic frameworks, predominantly by initiating the concept of the gig economy. Although a plethora of research has been conducted on the gig economy from various disciplinary vantage points, limited endeavors have been undertaken to explore the intricacies of labor market changes via a network analysis paradigm. As a result, this study provides vital insights for policymakers, platform operators, and labor market participants, promoting a nuanced understanding of the gig economy’s implications for labor market architecture.

 

Keywords :

Gig Economy; Labor Market; Data Analysis; Fusion Examination; Transformation.

References :

 

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Cite this Article as :
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MLA Muhammad Eid Balbaa, Astanakulov Olim Tashtemirovich. "Utilizing Big Data Analysis for the Fusion Examination of Labor Market Evolution within the Gig Economy." Fusion: Practice and Applications, Vol. 15, No. 1, 2024 ,PP. 59-65 (Doi   :  https://doi.org/10.54216/FPA.150105)
APA Muhammad Eid Balbaa, Astanakulov Olim Tashtemirovich. (2024). Utilizing Big Data Analysis for the Fusion Examination of Labor Market Evolution within the Gig Economy. Journal of Fusion: Practice and Applications, 15 ( 1 ), 59-65 (Doi   :  https://doi.org/10.54216/FPA.150105)
Chicago Muhammad Eid Balbaa, Astanakulov Olim Tashtemirovich. "Utilizing Big Data Analysis for the Fusion Examination of Labor Market Evolution within the Gig Economy." Journal of Fusion: Practice and Applications, 15 no. 1 (2024): 59-65 (Doi   :  https://doi.org/10.54216/FPA.150105)
Harvard Muhammad Eid Balbaa, Astanakulov Olim Tashtemirovich. (2024). Utilizing Big Data Analysis for the Fusion Examination of Labor Market Evolution within the Gig Economy. Journal of Fusion: Practice and Applications, 15 ( 1 ), 59-65 (Doi   :  https://doi.org/10.54216/FPA.150105)
Vancouver Muhammad Eid Balbaa, Astanakulov Olim Tashtemirovich. Utilizing Big Data Analysis for the Fusion Examination of Labor Market Evolution within the Gig Economy. Journal of Fusion: Practice and Applications, (2024); 15 ( 1 ): 59-65 (Doi   :  https://doi.org/10.54216/FPA.150105)
IEEE Muhammad Eid Balbaa, Astanakulov Olim Tashtemirovich, Utilizing Big Data Analysis for the Fusion Examination of Labor Market Evolution within the Gig Economy, Journal of Fusion: Practice and Applications, Vol. 15 , No. 1 , (2024) : 59-65 (Doi   :  https://doi.org/10.54216/FPA.150105)