Unpacking The Scholarly Evolution of Gig Worker ‎Satisfaction: A Bibliometric Exploration

Authors and Affiliations

  • Dhara Jhala Research Scholar, Gujarat Technological University, Ahmedabad, Gujarat
  • Dr. Sampada Kapse Director, Tolani Motwane Institute of Management Studies, Adipur, Gujarat‎

About this article

Download PDF

Keywords:

Bibliometric Analysis; Gig Economy; Gig Workers; Job Satisfaction; Research Trends

Abstract

This study presents the first bibliometric review dedicated solely to gig workers’ job ‎satisfaction, offering a focused synthesis of global research trends. Using data extracted from ‎the Scopus database, documents were analyzed through bibliographic coupling, citation ‎metrics, and thematic clustering. The analysis produced four conceptually distinct clusters: ‎algorithmic governance, psychological engagement, geographical well-being, and technostress. ‎Author impact, source influence, and institutional contributions were mapped using citation-‎based indices and network metrics. Keyword construction was guided by an extensive literature ‎review to ensure terminological inclusiveness. Figures such as thematic maps, trending topics, ‎and co-authorship networks illustrate the evolution and structure of the field, while tables ‎summarize the most influential documents, authors, and sources. By identifying conceptual ‎overlaps, geographic gaps, and emerging themes, this study provides a comprehensive ‎framework and strategic roadmap for future research. It serves as a foundational reference for ‎academics, policymakers, and platform designers seeking to enhance gig worker well-being ‎and satisfaction‎.

References

Abraham, K. G., Haltiwanger, J. C., Sandusky, K., & Spletzer, J. R. (2018). NBER WORKING PAPER SERIES MEASURING THE GIG ECONO-MY: CURRENT KNOWLEDGE AND OPEN ISSUES. http://www.nber.org/papers/w24950. https://doi.org/10.3386/w24950.

Aloisi, A. (2016). Commoditized workers: Case study research on labour law issues arising from a set of 'on-demand/gig economy' platforms. Com-parative Labor Law & Policy Journal, 37(3), 38. https://doi.org/10.2139/ssrn.2637485.

Anwar, M. A., & Graham, M. (2020). Between a rock and a hard place: Freedom, flexibility, precarity and vulnerability in the gig economy in Africa. Competition & Change, 24(3–4), 379–406.

Apouey, B., & Stabile, M. (2019). The Effects of Self and Temporary Employment on Mental Health: The role of the Gig Economy in the UK (Work-ing paper no. 2019/23/EPS). https://flora.insead.edu/fichiersti_wp/inseadwp2019/2019-23.pdf. https://doi.org/10.2139/ssrn.3395144.

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007

View more references (88)

Arnold, J., Silvester, J., Patterson, F., & Robertson, I. (2005). Work psychology: Understanding human behaviour in the workplace (4th ed.). FT Prentice Hall.

Balcı, A. İ., & Eraslan, E. (2023). GİG ekonomisi: Bibliyometrik bir analiz. Sosyal Siyaset Konferansları Dergisi, 85, 155–167. https://doi.org/10.26650/jspc.2023.85.1305805.

Barreiro Ribeiro, M., Mesquita, A., & Oliveira, A. (2021). Bibliometric analysis of job satisfaction and organizational commitment in the health pro-fessions. Journal of Occupational Health Science, 17(3), 112–127. https://doi.org/10.1016/j.johsci.2021.03.005

Brayfield, A. H., & Rothe, H. F. (1951). An index of job satisfaction. Journal of Applied Psychology, 35(5), 307–311. https://doi.org/10.1037/h0055617

Batmunkh, A., Fekete-Farkas, M., & Lakner, Z. (2022). Bibliometric Analysis of Gig Economy. Administrative Sciences, 12(2). https://doi.org/10.3390/admsci12020051.

Bucher, E., Fieseler, C., & Lutz, C. (2019). Mattering in digital labor. Journal of Managerial Psychology, 34(4), 265–281. https://doi.org/10.1108/JMP-06-2018-0265.

Bughin, J., Manyika, J., Lund, S., Robinson, K., Mischke, J., & Mahajan, D. (2016). Independent Work: Choice, necessity, and the gig economy. McKinsey Global Institute, October, 1–119. https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Employment%20and%20Growth/Independent%20work%20Choice%20necessity%20and%20the%20gig%20economy/Independent-Work-Choice-necessity-and-the-gig-economy-Full-report.ashx.

Casalhay, S. F., Guevarra, C. M., & Bragas, C. M. (2025). The gig economy: Financial challenges and opportunities faced by freelancers. Interna-tional Journal of Research Publication and Reviews, 6(5), 3545–3560. https://doi.org/10.55248/gengpi.6.0525.1716.

Chan, N. K. (2022). Algorithmic precarity and merit power: Managing the affective measures and customers in the gig economy. Big Data and So-ciety, 9(1), 1–15. https://doi.org/10.1177/20539517221133779.

Chandra, S. (2020). Millennial of gig economy: An alternate model for sustainable business environment. International Journal of Research and Ana-lytical Reviews (IJRAR), 7(1), 122-128. https://www.ijrar.org/papers/IJRAR2002019.pdf.

Chaudhary, P., & Niroula, P. K. (2024). Connecting the dots in the digital labor marketplace: A bibliometric review of global gig dynamics. Interna-tional Journal of Entrepreneurship, Business and Creative Economy, 4(1), 155–180. https://doi.org/10.31098/ijebce.v4i1.2076.

Chigori, D. T. (2024). Worker well being in the digital economy: Lens through bibliometrics analysis. SA Journal of Human Resource Management, 22, Article a2773. https://doi.org/10.4102/sajhrm.v22i0.2773.

China Labour Bulletin. (2021, July 26). China introduces new rules to protect food delivery workers. Retrieved from https://clb.org.hk on 26/08/2025.

Codagnone, C., Karatzogianni, A., & Matthews, J. (2018). Platform economics: Rhetoric and reality in the ‘sharing economy’. Emerald Publishing Limited. https://doi.org/10.1108/9781787438095.

de Stefano, V., Berg, J., Aleksynska, M., Humblet, M., Prassl, J., & Aloisi, A. (2015). THE RISE OF THE “JUST-IN-TIME WORKFORCE”: ON-DEMAND WORK, CROWD WORK AND LABOUR PROTECTION IN THE “GIG-ECONOMY. http://ssrn.com/abstract=2682602http://ssrn.com/abstract=2682602. https://doi.org/10.2139/ssrn.2682602.

Donovan, S. A., Bradley, D. H., & Shimabukuro, J. O. (2016, February 5). What does the gig economy mean for workers? (CRS Report No. R44365). Congressional Research Service. https://crsreports.congress.gov/product/pdf/R/R44365.

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070.

European Commission. (2021). Proposal for a Directive on improving working conditions in platform work. Brussels: European Union. Retrieved on 26/08/2025 from https://ec.europa.eu/commission/presscorner/detail/en/ip_21_6605.

Fairwork India. (2022). Fairwork India ratings 2022: Labour standards in the platform economy. New Delhi: Fairwork Foundation. Retrieved on 26/08/2025 from https://fair.work/wp-content/uploads/sites/17/2022/12/221223_fairwork_india-report-2022_RZ_red_edits_10.pdf.

Faizah, S. N., & Agustina, T. S. (2025). Mapping the gig economy: A systematic review and bibliometric analysis of gig worker research. Jurnal Ma-najemen Bisnis dan Kewirausahaan, 5(1), 114–125. https://doi.org/10.22219/jamanika.v5i1.39801.

Friedman, G. (2014). Workers without employers: Shadow corporations and the rise of the gig economy. Review of Keynesian Economics, 2(2), 171–188. https://doi.org/10.4337/roke.2014.02.03

Gallup Organization, I. (2018). The Gig Economy and Alternative Work Arrangements. Gallup, 31. https://www.gallup.com/workplace/240878/gig-economy-paper-2018.aspx.

Graham, M., Hjorth, I., & Lehdonvirta, V. (2017). Digital labour and development: Impacts of global digital labour platforms and the gig economy on worker livelihoods. Transfer: European Review of Labour and Research, 23(2), 135–162. https://doi.org/10.1177/1024258916687250.

Granger, S., Ashford, S. J., Caza, B., & Reid, E. (2022). Adapting to a jolt: A mixed methods study identifying challenges and personal resources impacting professional gig workers’ well-being during COVID-19. Journal of Vocational Behavior, 138, Article 103784. https://doi.org/10.1016/j.jvb.2022.103784.

Gürsoy, D. (2023). Gig economy: A multidimensional scientometric analysis. Cumhuriyet University Faculty of Economics and Administrative Sci-ences Journal, 24(3), 1141–1156. http://esjournal.cumhuriyet.edu.tr/en/download/article-file/2745921. https://doi.org/10.37880/cumuiibf.1198210

Hägg, G., Kurczewska, A., & Poček, J. (2025). A context in mutation: How the gig economy is changing the rules of the game for entrepreneurship? Review of Managerial Science, published 21 February 2025. https://doi.org/10.1007/s11846-025-00859-0.

Hall, J. V., & Krueger, A. B. (2016, November). An analysis of the labor market for Uber's driver-partners in the United States (NBER Working Pa-per Series, No. 22843). National Bureau of Economic Research. http://www.nber.org/papers/w22843. https://doi.org/10.3386/w22843.

Haking, J. (2017). Digital Nomad Lifestyle - A field study in Bali [Master's thesis, Linnaeus University]. DiVA portal. https://www.diva-portal.org/smash/get/diva2:1182328/FULLTEXT01.pdf.

Hastuti, D. R., Prihandini, D., & Indrawati, R. (2023). Bibliometric analysis of competency and job satisfaction: A study from 2012 to 2022. Interna-tional Journal of Business Research and Review, 8(4), 201–218.

Heeks, R. (2017). Decent work and the digital gig economy: A developing country perspective on employment impacts and standards in online out-sourcing, crowdwork, etc (Development Informatics Working Paper No. 71). Centre for Development Informatics, University of Manchester. https://hummedia.manchester.ac.uk/institutes/gdi/publications/workingpapers/di/di_wp71.pdf https://doi.org/10.2139/ssrn.3431033.

Hsieh, J., Adisa, O., Bafna, S., & Zhu, H. (2023, June). Designing individualized policy and technology interventions to improve gig work condi-tions. Proceedings of the 2nd Symposium on Human-computer Interaction for Work (CHIWORK ’23). ACM. https://doi.org/10.1145/3596671.3598576.

Idris, A. R., Mohd Beta, R. M. D., Ali, A., Kamarulzaman, M. H., Zainal Abidin, N. F., & Antara, P. M. (2025). Unveiling Insights of Gig Economy through a Bibliometric Analysis. Environment-Behaviour Proceedings Journal, 10(SI28), 205–211. https://doi.org/10.21834/e-bpj.v10iSI28.6945.

International Labour Organization (ILO). (2021). The role of digital labour platforms in transforming the world of work in Asia. Geneva: ILO. Re-trieved from https://www.ilo.org/sites/default/files/wcmsp5/groups/public/%40dgreports/%40dcomm/%40publ/documents/publication/wcms_771749.pdf.

Ishak, M. S., Mohamad, N. E. A., & Saad, N. M. (2021). Exploring gig economy’s literature through bibliometric analysis using VOSviewer. Inter-national Journal of Business and Management, 4(2), 1–13. https://doi.org/10.26666/rmp.ijbm.2021.2.1.

Istrate, E., Harris, J., Fitzgerald, H. R., Brown, T., & Turner, M. (2017). The Future of Work: The Rise of the Gig Economy. https://www.naco.org/sites/default/files/documents/Gig-Economy.pdf.

Jacquard, A. (2025, June 4). The gig economy is booming, but is it fair work? And other trends in jobs and skills this month. World Economic Forum. Retrieved from https://www.weforum.org/stories/2025/06/the-gig-economy-ilo-labour-platforms/.

Javdan, M., & Rostamkalaei, A. (2025). The impact of gig workers’ satisfaction on social mobility. AMCIS 2025 TREOs. Association for Infor-mation Systems. https://aisel.aisnet.org/treos_amcis2025/39.

Judijanto, J. (2024). Work environment and job satisfaction: A bibliometric analysis of global publications from 2000 to 2024. Eastasouth Manage-ment & Business, 9(1), 54–70.

Karlsson, K., & Wranne, J. (n.d.). Motivation in the Gig Economy A Case Study of Gig Workers in the IT and Business Consulting Industry Motiva-tion in the Gig Economy. https://www.diva-portal.org/smash/get/diva2:1371856/FULLTEXT01.pdf.

Kim, S., Marquis, E., Alahmad, R., Pierce, C. S., & Robert, L. P., Jr. (2018, September). The Impacts of Platform Quality on Gig Workers' Autonomy and Job Satisfaction. Paper presented at CSCW '18 Companion, Jersey City, NJ, USA. Available at: https://www.researchgate.net/publication/327656253_The_Impacts_of_Platform_Quality_on_Gig_Workers'_Autonomy_and_Job_Satisfaction https://doi.org/10.1145/3272973.3274050.

Kitchenham, B., & Charters, S. M. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering. https://www.researchgate.net/publication/302924724.

Kuhn, K. M., & Maleki, A. (2017). Micro-entrepreneurs, dependent contractors, and instaserfs: Understanding online labor platform workforces. Academy of Management Perspectives, 31(3), 183–200. https://doi.org/10.5465/amp.2015.0111

Kurian, J. S., & Madhavi, N. B. (2024). Navigating the gig economy: exploring challenges and motivations for the wellbeing of Gen Y and Gen Z gig workers. Cogent Psychology, 11(1), Article 2357458. https://doi.org/10.1080/23311908.2024.2357458

Lambert, E. G., Hogan, N. L., Jiang, S., Morris, A., & Kelley, T. (2020). Examining the relationships among work-related variables and job satisfac-tion in a sample of gig economy workers. Journal of Applied Management and Entrepreneurship, 25(1), 67–84.

Lange, T. (2012). Job satisfaction and self-employment: Autonomy or personality? Small Business Economics, 38(2), 165–177. https://eprints.bournemouth.ac.uk/12599/2/Self-Employment_and_Job_Satisfaction_final.pdf https://doi.org/10.1007/s11187-009-9249-8.

Lehdonvirta, V. (2018). Flexibility in the gig economy: Managing time on three online piecework platforms. New Technology, Work and Employ-ment, 33(1), 13–29. https://doi.org/10.1111/ntwe.12102.

Lee, Y. (2020, October 20). Gig economy and micro-entrepreneurship are on the rise, but are we ready to manage that successfully? Forbes. https://www.forbes.com/sites/forbestechcouncil/2020/10/20/gig-economy-and-micro-entrepreneurship-are-on-the-rise-but-are-we-ready-to-manage-that-successfully/.

Li, S., Zhang, L., Hu, S., Jia, F., & Fu, X. (2025). Gig work: A bibliometric systematic literature review and content analysis. Transportation Re-search Part E: Logistics and Transportation Review, 200, 104216. https://doi.org/10.1016/j.tre.2025.104216.

MasterCard & Kaiser Associates. (2019). The global gig economy: Capitalizing on a ~$500B opportunity. https://blog.kleros.io/content/files/wp-content/uploads/2019/05/gig-economy-white-paper-may-2019.pdf.

Mehrotra, S. (2021). Social security for gig and platform workers in India: Emerging debates. Indian Journal of Labour Economics, 64(3), 651–666.

Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. BMJ (Online), 339(7716), 332–336. https://doi.org/10.1136/bmj.b2535.

Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5

Mukherjee, A., & Gopal, R. (2024). A bibliometric analysis of digital transformation and employee job satisfaction: A management and social sciences perspective. International Journal of Bibliometrics in Business & Management, 5(1), 45–61.

Mukhopadhyay, B. R., & Chatwin, C. R. (2021). The significance of Herzberg and Taylor for the gig economy of China: Evaluating gigger incen-tives for Meituan and Ele.me (GLO Discussion Paper, No. 849). Global Labor Organization (GLO). https://www.econstor.eu/bitstream/10419/234175/1/GLO-DP-0849.pdf.

Nalini M., Munda M., (2024). Understanding the Motivations of Gig Workers to Stay in an Organization. International Journal for Research in Applied Science and Engineering Technology, 12(5), 1041–1062. https://doi.org/10.22214/ijraset.2024.61763.

NITI Aayog. (2022). India’s booming gig and platform economy: Perspectives and recommendations on the future of work. New Delhi: Government of India. Retrieved from https://www.niti.gov.in/sites/default/files/2023-06/Policy_Brief_India%27s_Booming_Gig_and_Platform_Economy_27062022.pdf.

Parrott, J. A., & Reich, M. (2018, July). An earnings standard for New York City’s app-based drivers: Economic analysis and policy assessment [Report for the New York City Taxi and Limousine Commission]. Center for New York City Affairs, The New School. https://static1.squarespace.com/static/53ee4f0be4b015b9c3690d84/t/5b3a3a946d2a73a677f855b9/1530542742060/Parrott-Reich+NYC+App+Drivers+TLC+Jul+2018jul1.pdf.

Perianes-Rodriguez, A., Waltman, L., & van Eck, N. J. (2016). Constructing bibliometric networks: A comparison between full and fractional count-ing. Journal of Informetrics, 10(4), 1178–1195. https://doi.org/10.1016/j.joi.2016.10.006.

Prassl, Jeremias, Humans as a Service: The Promise and Perils of Work in the Gig Economy (Oxford, 2018; online edn, Oxford Academic, 19 Apr. 2018), https://doi.org/10.1093/oso/9780198797012.001.0001.

Prottas, D. J., & Thompson, C. A. (2006). Stress, satisfaction, and the work–family interface: A comparison of self-employed business owners, in-dependents, and organizational employees. Journal of Occupational Health Psychology, 11(4), 366–378. https://doi.org/10.1037/1076-8998.11.4.366.

Prudential Insurance Company of America. (2018). Gig economy impact by generation. https://s203.q4cdn.com/639437276/files/doc_news/2018/Gig_Economy_Impact_by_Generation.pdf.

Rao, V. N., Dalal, S., Agarwal, E., Calacci, D., & Monroy-Hernández, A. (2024). Rideshare transparency: Translating gig worker insights on AI platform design to policy. arXiv.

Robbins, S., & Judge, T. (2021). Organizational Behaviour, Updated Global Edition. Accessible at: http://121.121.140.173:8887/filesharing/kohasharedfolders/Organizational%20Behavior,%20Global%20Edition%20(Stephen%20Robbins,%20Timothy%20Judge)%20(2024).pdf.

Saha, A., & Dutta, P. (2025). Mapping global research trends on job satisfaction and turnover intention: A bibliometric perspective. Journal of Organ-izational Behavior Analytics, 12(2), 87–105.

Scholz, T. (2017). Platform cooperativism: Challenging the corporate sharing economy. New York: Rosa Luxemburg Stiftung. Retrieved from https://rosalux.nyc/wp-content/uploads/2020/11/RLS-NYC_platformcoop.pdf.

Schor, J. (2020). After the gig: How the sharing economy got hijacked and how to win it back. University of California Press. https://doi.org/10.2307/j.ctv125jrwn.

Schwellnus, C., Geva, A., Pak, M., & Veiel, R. (2019). ECONOMICS DEPARTMENT GIG ECONOMY PLATFORMS: BOON OR BANE? (Work-ing Paper no.1550). https://www.oecd.org/en/publications/gig-economy-platforms-boon-or-bane_fdb0570b-en.html.

Shyamini, T. S., & Rejuna, C. A. (2025). Ripple effect of algorithmic mechanism: Lessons from global gig work experience. International Journal of Social Science and Human Research, 8(5), 2699–2707. https://doi.org/10.47191/ijsshr/v8-i5-09.

Spector, P. E. (1985). Measurement of human service staff satisfaction: Development of the Job Satisfaction Survey. Journal of Community Psy-chology, 13(6), 693–713. Accessible at: http://shell.cas.usf.edu/~pspector/scales/ajcp85-jss.pdf. https://doi.org/10.1007/BF00929796.

Staffing Industry Analysts. (2016, September 21). Total spending on US gig work close to $800 billion. Retrieved from https://www.staffingindustry.com/About/Media-Center/Press-Releases/Press-Release-Archives/2016/Total-Spending-on-US-Gig-Work-Close-to-800-Billion.

Storey, D., Steadman, T., & Davis, C. (2016, July). Is the gig economy a fleeting fad, or an enduring legacy? EY.

Sundararajan, A. (2017). The future of work. Finance & Development, 54(2), 6–11. https://www.imf.org/external/pubs/ft/fandd/2017/06/sundararajan.htm.

Tanna, S.S., Mandavia, N. Mapping the evolution of campus startup ecosystem: a 25-year bibliometric review (1998–2023). J Glob Entrepr Res 14, 45 (2024). https://doi.org/10.1007/s40497-024-00418-z

Ungureanu, A. (2019). Industry 4.0. The role of gig economy in the industrial revolution of the 21st century. The USV Annals of Economics and Pub-lic Administration, 19(2), 77-82. Accessible on https://www.researchgate.net/publication/344548427_Industry_40_The_Role_of_Gig_Economy_in_the_Industrial_Revolution_of_the_21st_Century.

Upwork. (2025). Gig economy statistics and market takeaways for 2025. Upwork. https://www.upwork.com/resources/gig-economy-statistics.

Vadavi, S., & Sharmiladevi, J. C. (2024). Analysing the evolution and patterns of the gig economy: a bibliometric examination of growth and trends. Cogent Business and Management, 11(1), 1–19. https://doi.org/10.1080/23311975.2024.2424480.

Van Saane, N., Sluiter, J. K., Verbeek, J. H. A. M., & Frings-Dresen, M. H. W. (2003). Reliability and validity of instruments measuring job satis-faction - A systematic review. In Occupational Medicine (Vol. 53, Issue 3, pp. 191–200). available at: https://www.researchgate.net/publication/10778659_Reliability_and_validity_of_instruments_measuring_job_satisfaction_-_A_systematic_review https://doi.org/10.1093/occmed/kqg038

Van Eck, N.J., Waltman, L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84, 523–538 (2010). Acces-sible at: https://link.springer.com/article/10.1007/s11192-009-0146-3#citeas https://doi.org/10.1007/s11192-009-0146-3.

Van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In Y. Ding, R. Rousseau, & D. Wolfram (Eds.), Measuring scholarly im-pact: Methods (pp. 285-320). Springer. https://shorturl.at/XmJxN https://doi.org/10.1007/978-3-319-10377-8_13.

Wan, W., & Duffy, R. D. (2022). Decent Work and Turnover Intention Among New Generation Employees: The Mediating Role of Job Satisfac-tion and the Moderating Role of Job Autonomy. SAGE Open, 12(2). https://doi.org/10.1177/21582440221094591.

Wan, Z., Zhang, L., Wang, L., & Zhang, F. (2024). Navigating autonomy: Unveiling the dual influence of job autonomy on workplace well-being in the gig economy. Frontiers in Psychology, 15, 1–12. https://doi.org/10.3389/fpsyg.2024.1369495.

Wallenstein, J., de Chalendar, A., Reeves, M., & Bailey, A. (2019, January 17). The new freelancers: Tapping talent in the gig economy. Boston Consulting Group. https://www.bcg.com/publications/2019/new-freelancers-tapping-talent-gig-economy

Wanous, J. P., & Lawler Iii, E. E. (1972). MEASUREMENT AND MEANING OF JOB SATISFACTION. Journal of Applied Psychology, 56(2), 95–105. https://doi.org/10.1037/h0032664

Weiss, D. J., Dawis, R. V., England, G. W., & Lofquist, L. H. (1967). Manual for the Minnesota Satisfaction Questionnaire. University of Minnesota, Minneapolis. https://vpr.psych.umn.edu/sites/vpr.umn.edu/files/files/monograph_xxii_-_manual_for_the_mn_satisfaction_questionnaire.pdf https://doi.org/10.1037/t05540-000.

Weiss, H. M., & Merlo, K. L. (2015). Job Satisfaction. In International Encyclopedia of the Social & Behavioral Sciences: Second Edition (pp. 833–838). Elsevier Inc. https://doi.org/10.1016/B978-0-08-097086-8.22029-1

Wood, A. J., Graham, M., Lehdonvirta, V., & Hjorth, I. (2019). Good gig, bad gig: Autonomy and algorithmic control in the global gig economy. Work, Employment and Society, 33(1), 56–75. https://doi.org/10.1177/0950017018785616.

Wood, S., Michaelides, G., & Totterdell, P. (2013). The impact of fluctuating workloads on well-being and the mediating role of work–nonwork interference in this relationship. Journal of Occupational Health Psychology, 18(1), 106–117. https://doi.org/10.1037/a0031067.

Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629.


How to Cite

Jhala, D., & Kapse, D. S. (2025). Unpacking The Scholarly Evolution of Gig Worker ‎Satisfaction: A Bibliometric Exploration. International Journal of Accounting and Economics Studies, 12(5), 550-572. https://doi.org/10.14419/krbncc52