The Gig Economy: Current Issues, the Debate, and the New Avenues of Research
Open accessAbstract
In the context of the debate on platform economy, on the one hand, and the gig economy, on the other, this paper delineates the conceptual boundaries of both concepts to query the gig economy research included in the Web of Science database. The initial search, cutoff date February 2020, targeting “gig economy” returned a sample of 378 papers dealing with the topic. The subsequent analysis, employing the science mapping method and relating software (SciMAT), allowed to query the body of research dealing with gig economy in detail. The value added by this paper is fourfold. First, the broad literature on gig economy is mapped and the nascent synergies relating both to research opportunities and economic implications are identified and highlighted. Second, the findings reveal that while research on gig economy proliferates, the distinction between “platform” and “gig” economy frequently remains blurred in the analysis. This paper elaborates on this issue. Third, it is highlighted that the discussion on gig economy is largely dispersed and a clearer research agenda is needed to streamline the discussion to improve its exploratory and explanatory potential. This paper suggests ways of navigating this issue. Fourth, by mapping the existing research on gig economy and highlighting its caveats, the way toward a comprehensive research agenda in the field is highlighted.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 74 · Cited by 87
Research works printed but not linked: 72
- Troisi, O.; Visvizi, A.; Grimaldi, M. The different shades of innovation emergence in smart service systems: The case of Italian cluster for aerospace technology. J. Bus. Ind. Mark. 2021. ahead-of-print. [CrossRef] · DOI
- Lytras, M.D.; Aljohani, N.R. (Eds.) Springer: Cham, Switzerland, 2021; Available online: https://www.springer.com/gp/book/9783030620653 (accessed on 2 April 2021). [CrossRef] · DOI
- Kenney, M.; Zysman, J. The platform economy: Restructuring the space of capitalist accumulation. Cam. J. Reg. Econ. Soc. 2020, 13, 55-76. [CrossRef] · DOI
- Caplan, R.; Gillespie, T. Tiered Governance and Demonetization: The Shifting Terms of Labor and Compensation in the Platform Economy. Soc. Media Soc. 2020, 6, 1-13. [CrossRef] · DOI · Paper page
- Xu, X.; Lee, C. Utilizing the platform economy effect through EWOM: Does the platform matter? Int. J. Prod. Econ. 2020, 227, 107663. [CrossRef] · DOI
- Mucha, T.; Seppala, T. Artificial Intelligence Platforms-A New Research Agenda for Digital Platform Economy. ETLA Work. Pap 2020, 76, 1-16. [CrossRef] · DOI
- Kapoor, K.; Ziaee Bigdeli, A.; Dwivedi, Y.K.; Schroeder, A.; Beltagui, A.; Baines, T. A socio-technical view of platform ecosystems: Systematic review and research agenda. J. Bus. Res. 2021, 128, 94-108. [CrossRef] · DOI
- Healy, J.; Nicholson, D.; Pekarek, A. Should we take the gig economy seriously? Labour Ind. J. Soc. Econ. Relat. Work. 2017, 27, 232-248. [CrossRef] · DOI
- Alahmadi, D.; Babour, A.; Saeedi, K.; Visvizi, A. Ensuring Inclusion and Diversity in Research and Research Output: A Case for a Language-Sensitive NLP Crowdsourcing Platform. Appl. Sci. 2020, 10, 6216. [CrossRef] · DOI
- Barykin, S.Y.; Kapustina, I.V.; Kirillova, T.V.; Yadykin, V.K.; Konnikov, Y.A. Economics of Digital Ecosystems. J. Open Innov. Technol. Mark. Complex. 2020, 6, 124. [CrossRef] · DOI
- Rogers, B. Employment Rights in the Platform Economy: Getting Back to Basics. Harv. Law Policy Rev. 2016, 10, 479-520. Available online: https://harvardlpr.com/wp-content/uploads/sites/20/2016/06/10.2_7_Rogers.pdf (accessed on 5 April 2021).
- Dann, D.; Teubner, T.; Adam, M.T.; Weinhardt, C. Where the host is part of the deal: Social and economic value in the platform economy. Electron. Commer. Res. Appl. 2020, 40, 100923. [CrossRef] · DOI · Paper page
- Cutolo, D.; Kenney, M. Platform-Dependent Entrepreneurs: Power Asymmetries, Risks, and Strategies in the Platform Economy. Acad. Manag. Perspect. 2021. ahead-of-print. [CrossRef] · DOI · Paper page
- Tassinari, A.; Maccarrone, V. The mobilisation of gig economy couriers in Italy: Some lessons for the trade union movement. Transfer 2017, 23, 353-357. [CrossRef] · DOI
- Cantero Gamito, M., Micklitz, H.-W., Eds.; Elgar: Chester, UK, 2020; pp. 115-134. [CrossRef] · DOI
- Lytras, M.D.; Visvizi, A.; Chopdar, P.K.; Sarirete, A.; Alhalabi, W. Information Management in Smart Cities: Turning end users' views into multi-item scale development, validation, and policy-making recommendations. Int. J. Inf. Manag. 2021, 56, 102146. [CrossRef] · DOI
- OECD Publications. OECD Employment Outlook 2012; OECD Publishing: Paris, France, 2012. [CrossRef] · DOI
- Saeedi, K.; Visvizi, A. Software Development Methodologies, HEIs, and the Digital Economy. Educ. Sci. 2021, 11, 73. [CrossRef] · DOI
- Santana, M.; Cobo, M.J. What is the future of work? A science mapping analysis. Eur. Manag. J. 2020, 38, 846-862. [CrossRef] · DOI
- Small, H. Visualizing science by citation mapping. J. Am. Soc. Inf. Sci. 1999, 50, 799-813. [CrossRef] · DOI
- Chen, C. Science Mapping: A Systematic Review of the Literature. J. Data Inf. Sci. 2017, 2, 1-40. [CrossRef] · DOI
- Gutiérrez-Salcedo, M.; Martínez, M.Á.; Moral-Muñoz, J.A.; Herrera-Viedma, E.; Cobo, M.J. Some bibliometric procedures for analyzing and evaluating research fields. App. Intel. 2018, 48, 1275-1287. [CrossRef] · DOI
- Van Leeuwen, T. The application of bibliometric analyses in the evaluation of social science research. Who benefits from it, and why it is still feasible. Scientometrics 2006, 66, 133-154. [CrossRef] · DOI
- Dzikowski, P. A bibliometric analysis of born global firms. J. Bus. Res. 2018, 85, 281-294. [CrossRef] · DOI
- van Eck, N.J.; Waltman, L. Visualizing Bibliometric Networks. In Measuring Scholarly Impact; Ding, Y., Rousseau, R., Wolfram, D., Eds.; Springer: Cham, Switzerland, 2014; pp. 285-320. [CrossRef] · DOI
- Su, H.N.; Lee, P.C. Mapping knowledge structure by keyword co-occurrence: A first look at journal papers in Technology Foresight. Scientometrics 2010, 85, 65-79. [CrossRef] · DOI
- Ding, Y.; Chowdhury, G.G.; Foo, S. Bibliometric cartography of information retrieval research by using co-word analysis. Inf. Process. Manag. 2001, 37, 817-842. [CrossRef] · DOI · Paper page
- Castillo-Vergara, M.; Alvarez-Marin, A.; Placencio-Hidalgo, D. A bibliometric analysis of creativity in the field of business economics. J. Bus. Res. 2018, 85, 1-9. [CrossRef] · DOI
- Callon, M.; Courtial, J.P.; Laville, F. Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics 1991, 22, 155-205. [CrossRef] · DOI
- Callon, M.; Courtial, J.P.; Turner, W.A.; Bauin, S. From translations to problematic networks: An introduction to co-word analysis. Soc. Sci. Inf. 1983, 22, 191-235. [CrossRef] · DOI · Paper page
- Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F. SciMAT: A new science mapping analysis software tool. J. Am. Soc. Inf. Sci. Tech. 2012, 63, 1609-1630. [CrossRef] · DOI
- Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. J. Informetr. 2011, 5, 146-166. [CrossRef] · DOI
- López-Robles, J.R.; Rodríguez-Salvador, M.; Gamboa-Rosales, N.K.; Ramirez-Rosales, S.; Cobo, M.J. The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis. Procedia Comput. Sci. 2019, 162, 729-736. [CrossRef] · DOI
- Luis, E.C.; Celma, D. Circular economy. A review and bibliometric analysis. Sustainability 2020, 12, 6381. [CrossRef] · DOI
- Alcaide-Muñoz, L.; Rodríguez-Bolívar, M.P.; Cobo, M.J.; Herrera-Viedma, E. Analysing the scientific evolution of e-Government using a science mapping approach. Gov. Inf. Q. 2017, 34, 545-555. [CrossRef] · DOI
- Herrera, J.; de las Heras-Rosas, C. Economic, non-economic and critical factors for the sustainability of family firms. J. Open Innov. Technol. Mark. Complex. 2020, 6, 119. [CrossRef] · DOI
- Rodrigues, M.; Franco, M. Networks and performance of creative cities: A bibliometric analysis. City Cult. Soc. 2020, 20, 100326. [CrossRef] · DOI
- Boyack, K.W.; Klavans, R.; Börner, K. Mapping the backbone of science. Scientometrics 2005, 64, 351-374. [CrossRef] · DOI
- Hassan, S.; Visvizi, A.; Haira, M. The 'who' and the 'what' in international migration research: Data-driven analysis of Scopus- indexed scientific literature. Behav. Inf. Technol. 2019, 38, 924-939. [CrossRef] · DOI
- Safder, I.; Hassan, S.U.; Visvizi, A.; Noraset, T.; Nawaz, R.; Tuarob, S. Deep Learning-based Extraction of Algorithmic Metadata in Full-Text Scholarly Documents. Inf. Process. Manag. 2020, 57, 102269. [CrossRef] · DOI
- Hassan, S.U.; Aljohani, N.R.; Idrees, N.; Sarwar, R.; Nawaz, R.; Martínez-Cámara, E.; Ventura, S.; Herrera, F. Predicting literature's early impact with sentiment analysis in Twitter. Knowl. Based Syst. 2020, 192, 105383. [CrossRef] · DOI
- De Stefano, V. The rise of the "just-in time workforce": On demand work, crowdwork, and labor protection in the "gig economy". Comp. Labor Law Policy J. 2016, 37, 461-471. [CrossRef] · DOI
- Gandini, A. Labor process theory and the gig economy. Hum. Rel. 2019, 72, 1039-1056. [CrossRef] · DOI · Paper page
- Friedman, G. Workers without employers: Shadow corporations and the rise of the gig economy. Rev. Keynes. Econ. 2014, 2, 171-188. [CrossRef] · DOI · Paper page
- Ashford, S.J.; Caza, B.B.; Reid, E.M. From surviving to thriving in the gig economy: A research agenda for individuals in the new world of work. Res. Organ. Behav. 2018, 38, 23-41. [CrossRef] · DOI · Paper page
- Fleming, P. The Human Capital Hoax: Work, Debt and Insecurity in the Era of Uberization. Org. Stud. 2017, 38, 691-709. [CrossRef] · DOI · Paper page
- Spreitzer, G.M.; Cameron, L.; Garrett, L. Alternative Work Arrangements: Two Images of the New World of Work. Annu. Rev. Organ. Psychol. Organ. Behav. 2017, 4, 473-499. [CrossRef] · DOI
- Meil, P., Kirov, V., Eds.; Palgrave Macmillan: Cham, Switzerland, 2017; pp. 273-295. [CrossRef] · DOI
- Jabagi, N.; Croteau, A.M.; Audebrand, L.K.; Marsan, J. Gig-workers' motivation: Thinking beyond carrots and sticks. J. Manag. Psychol. 2019, 34, 192-213. [CrossRef] · DOI · Paper page
- Kuhn, K.M.; Maleki, A. Micro-entrepreneurs, dependent contractors, and instaserfs: Understanding online labor platform workforces. Acad. Manag. Persp. 2017, 31, 183-200. [CrossRef] · DOI · Paper page
- Lehdonvirta, V. Flexibility in the gig economy: Managing time on three online piecework platforms. New Technol. Work Employ. 2018, 3, 13-29. [CrossRef] · DOI · Paper page
- Josserand, E.; Kaine, S. Different directions or the same route? The varied identities of ride-share drivers. J. Ind. Relat. 2019, 61, 549-573. [CrossRef] · DOI
- Stewart, A.; Stanford, J. Regulating work in the gig economy: What are the options? Econ. Labour Relat. Rev. 2017, 28, 420-437. [CrossRef] · DOI · Paper page
- Meijerink, J.; Keegan, A. Conceptualizing human resource management in the gig economy: Toward a platform ecosystem perspective. J. Manag. Psychol. 2019, 34, 214-232. [CrossRef] · DOI · Paper page
- Wood, A.J.; Graham, M.; Lehdonvirta, V.; Hjorth, I. Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy. Work Employ. Soc. 2019, 33, 56-75. [CrossRef] · DOI · Paper page
- Chai, S.; Scully, M.A. It's About Distributing Rather than Sharing: Using Labor Process Theory to Probe the "Sharing" Economy. J. Bus. Ethics 2019, 159, 943-960. [CrossRef] · DOI
- Ravenelle, A.J. Sharing economy workers: Selling, not sharing. Cam. J. Reg. Econ. Soc. 2017, 10, 281-295. [CrossRef] · DOI
- Minter, K. Negotiating labor standards in the gig economy: Airtasker and Unions New South Wales. Econ. Labour. Relat. Rev. 2017, 28, 438-454. [CrossRef] · DOI
- Zwick, A. Welcome to the Gig Economy: Neoliberal industrial relations and the case of Uber. GeoJournal 2018, 83, 679-691. [CrossRef] · DOI
- Malos, S.; Lester, G.V.; Virick, M. Uber Drivers and Employment Status in the Gig Economy: Should Corporate Social Responsibil- ity Tip the Scales? Empl. Responsib. Rights J. 2018, 30, 239-251. [CrossRef] · DOI
- Jamil, R.; Noiseux, Y. Shake That Moneymaker: Insights from Montreal's Uber Drivers. Rev. Interv. Économiques Pap. Political Econ. 2018, 60, 1-30. [CrossRef] · DOI
- Berger, T.; Chen, C.; Frey, C.B. Drivers of disruption? Estimating the Uber effect. Eur. Econ. Rev. 2018, 110, 197-210. [CrossRef] · DOI · Paper page
- Means, A.J. Platform learning and on-demand labor: Sociotechnical projections on the future of education and work. Learn. Media Technol. 2018, 43, 326-338. [CrossRef] · DOI
- Haynes, J.; Marshall, L. Reluctant entrepreneurs: Musicians and entrepreneurship in the "new" music industry. Brit. J. Soc. 2018, 69, 459-482. [CrossRef] [PubMed] · DOI
- Chafe, D.; Kaida, L. Harmonic Dissonance: Coping with Employment Precarity among Professional Musicians in St John's, Canada. Work Employ. Soc. 2020, 34, 407-423. [CrossRef] · DOI
- Bajwa, U.; Gastaldo, D.; Di Ruggiero, E.; Knorr, L. The health of workers in the global gig economy. Glob. Health 2018, 14, 1-4. [CrossRef] · DOI · Paper page
- Muntaner, C. Digital Platforms, Gig Economy, Precarious Employment, and the Invisible Hand of Social Class. Int. J. Health Serv. 2018, 48, 597-600. [CrossRef] · DOI · Paper page
- MacDonald, R.; Giazitzoglu, A. Youth, enterprise and precarity: Or, what is, and what is wrong with, the "gig economy"? J. Sociol. 2019, 55, 724-740. [CrossRef] · DOI
- Todolí-Signes, A. The "gig economy": Employee, self-employed or the need for a special employment regulation? Transfer 2017, 23, 193-205. [CrossRef] · DOI
- Koutsimpogiorgos, N.; van Slageren, J.; Herrmann, A.M.; Frenken, K. Conceptualizing the Gig Economy and Its Regulatory Problems. Policy Internet 2020, 12, 525-545. [CrossRef] · DOI
- Lehdonvirta, V.; Kässi, O.; Hjorth, I.; Barnard, H.; Graham, M. The global platform economy: A new offshoring institution enabling emerging-economy microproviders. J. Manag. 2019, 45, 567-599. [CrossRef] · DOI
- Wosiek, R.; Visvizi, A. The VWRCA Index: Measuring a Country's Comparative Advantage and Specialization in Services. The Case of Poland. Economies 2021, 9, 48. [CrossRef] · DOI
- Authors
- Malik, R., Visvizi, A., & Skrzek-Lubasińska, M.
- Affiliations
- SGH Warsaw School of Economics (PL)
- Effat University (SA)
- Corresponding author
- Malik, Radosław
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2021-04-29
- Volume
- 13
- Issue
- 9
- Pages
- 5023
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W3157763293
- Cited by
- 87
- References
- 74
- Citations by year
- 2026: 10 · 2025: 21 · 2024: 20 · 2023: 18 · 2022: 10 · 2021: 8
- FWCI
- 19.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Warsaw School of Economics (2021)
- Topics
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
- Social Sciences › Business, Management and Accounting › Marketing › Sharing Economy and Platforms
- Keywords
- gig economy, platform economy, conceptual boundaries, research agenda, science mapping, Web of Science, research trends
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review