Description
With the advances in internet technologies and the emergence of crowdsourcing, organizations are now increasingly looking outside their boundaries for solving problems. Yet, the success of crowdsourcing processes depends on the sustained participation of crowdsourcing individuals. Previous studies have mainly focused on understanding individuals’ initial motivation for participation with few focusing on the factors that affect individuals’ sustained participation in crowdsourcing contests. None of these studies examined how collaboration affects individuals’ participation behavior in crowdsourcing contests. This study attempts to understand how individuals’ collaboration (in the form of comments and votes) affects their sustained participation in online problem solving contests. This study uses data from the Kaggle website that holds online data science competitions in which individuals submit their proposed solutions with the best solutions being rewarded. Our results show that individuals who receive more attention from other members tend to come back and maintain their participation in the platform.
Recommended Citation
Javadi Khasraghi, Hanieh; Wang, Xuan; and Hirschheim, Rudy A., "Sustaining Participant Involvement in Crowdsourcing Contests through Collaboration" (2017). AMCIS 2017 Proceedings. 15.
https://aisel.aisnet.org/amcis2017/Virtual/Presentations/15
Sustaining Participant Involvement in Crowdsourcing Contests through Collaboration
With the advances in internet technologies and the emergence of crowdsourcing, organizations are now increasingly looking outside their boundaries for solving problems. Yet, the success of crowdsourcing processes depends on the sustained participation of crowdsourcing individuals. Previous studies have mainly focused on understanding individuals’ initial motivation for participation with few focusing on the factors that affect individuals’ sustained participation in crowdsourcing contests. None of these studies examined how collaboration affects individuals’ participation behavior in crowdsourcing contests. This study attempts to understand how individuals’ collaboration (in the form of comments and votes) affects their sustained participation in online problem solving contests. This study uses data from the Kaggle website that holds online data science competitions in which individuals submit their proposed solutions with the best solutions being rewarded. Our results show that individuals who receive more attention from other members tend to come back and maintain their participation in the platform.