Decent Work and the Digital Gig Economy: A Developing Country Perspective on Employment Impacts and Standards in Online Outsourcing, Crowdwork, Etc
By Richard Heeks. Social Science Research Network, 2017
143 citations recorded by the source corpus.
This paper presents a review of current evidence and ideas relating to the digital gig economy (DGE): contingent (task- or project-based) intangible work delivered digitally and done for money, organised via online outsourcing platforms that are marketplaces bringing together buyers and sellers. Examples of such platforms include Freelancer, Upwork, Amazon Mechanical Turk and Zhubajie/Witmart. While the paper takes a particular interest in the perspective of workers in developing countries, most of its findings will apply globally, and many will apply to the broader gig / sharing / platform economy. This document aims to be comprehensive and so readers are directed to particular items of interest, posed in terms of question: • What are the key definitions and terminology: see Box 1 • How big and how fast-growing is the DGE sector: see start of Section B • What are the positive impacts of DGE work: see Section B1 • What are the negative impacts and problems of DGE work: see Section B2 • Why intervene to improve the digital gig economy: see Section B3 • What decent work standards should be applied to improve the digital gig economy: see Section C1 • How should decent work standards be applied for DGE improvement: see Section C2 • Can existing codes and standards be used in the digital gig economy: see Section C2iii • What stakeholder-specific motivations and barriers will shape application of decent work standards: see Section C2iv • What should be the next steps in terms of action and research: see Section D Other questions addressed include: • What are the problems with the current evidence base: see Box 2 • How can DGE problems and solutions be represented graphically: see Box 3 • What should be the aim of DGE intervention: see Section C2i • Should decent work standards apply broader or narrower than just the digital gig economy: see Section C2ii • What do individual items of literature have to say about problems, recommendations, proposals and codes for the digital gig economy: see Appendices
Subfields: Economics and Econometrics, Marketing, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/2d9a30b9bef18cf76d7031cffeacbc10a0b7ad2d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Marketing
In Sociology and Political Science
Citations in the corpus
- Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy (2018, unknown): “Globally, 70 million workers are estimated to have registered with online labour platforms that facilitate remote forms of gig work (Heeks, 2017).”
- Digital platforms for development: Foundations and research agenda (2021, background): “In a review of employment impacts and standards of the gig economy in developing countries, Heeks (2017) notes that transaction labour platforms may offer incremental, short term impacts on workers' livelihoods, at the expense of chronic precarity and structural inequality.”