Empirical Investigation of Participation on Crowdsourcing Platforms

Abhishek Behl, Pratima Sheorey, Meena Chavan, Kokil Jain, Isha Jajodia

OAI: oai:igi-global.com:272681 • DOI: 10.4018/JGIM.20211101.oa14

Crowdsourcing platforms have gained importance in recent times, and their success is dependent mainly on the participation of the crowd. Participation is a function of both intrinsic and extrinsic motivation. Moreover, with the growing scale of information, the participants would need to focus on the quality of information to achieve sustainable participation. Our study uses game elements and information quality grounded in Motivational Affordance Perspective (MAP) to study the intrinsic and extrinsic participation on a crowdsourcing platform. We collected responses from 337 participants who are actively contributing to any crowdsourcing platform. Warp PLS uses partial least square structured equation modeling. The results confirm that the use of game elements positively promotes the participant’s intrinsic and extrinsic participation. We also confirmed that motivation is also positively moderated by the quality of information that the crowdsourcing platform shares with the participants. The results help in extending the theoretical arguments of MAP and self-determination theory.

Global Information Technology Computer Science and Information Technology IT Research and Theory