Productivity of gig workers on crowdsourcing platforms through artificial intelligence and gamification: a multi-theoretical approach

Behl, Abhishek, Sampat, Brinda and Raj, Sahil (2021) Productivity of gig workers on crowdsourcing platforms through artificial intelligence and gamification: a multi-theoretical approach. TQM Journal. ISSN 17542731 (In Press)

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Abstract

Gig workers form the backbone of any crowdsourcing platform where they showcase their talent and choose a job of their choice and freedom. The study explores the role of information quality (IQ) and social mediated dialogue (SMD) in evaluating gig worker engagement and productivity on crowdsourcing platforms.
The authors also propose to understand how gig worker productivity could be improved under the moderating
effect of game elements

Item Type: Article
Keywords: Crowdsourcing | Gamification | Productivity | Gig Workers
Subjects: Social Sciences and humanities > Business, Management and Accounting > General Management
JGU School/Centre: Jindal Global Business School
Depositing User: Amees Mohammad
Date Deposited: 09 Feb 2022 10:18
Last Modified: 14 Feb 2022 07:11
Official URL: https://doi.org/10.1108/TQM-07-2021-0201
URI: https://pure.jgu.edu.in/id/eprint/1149

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