The state-of-the-art of crowdsourcing systems: A computational literature review and future research agenda using a text analytics approach

Abstract

Crowdsourcing effectively harnesses diverse skills and perspectives of crowds beyond organizational, geographical, and cultural boundaries. Organizations are gaining invaluable insights through crowdsourcing across diverse domains. This study reviews the growing academic literature on crowdsourcing using advanced topic modeling, an approach to unraveling key themes latent in the literature. Following a systems approach, we adopted inter- and intra-systems perspectives to identify distinct crowdsourcing models and their interrelated components based on a text analysis of the crowdsourcing literature. The paper elucidates the intellectual foundations of crowdsourcing as represented in the literature and offers suggestions for pursuing research that will extend its conceptual boundaries.