Continued Participation in Crowdsourcing Innovation: The Role of Web-Specific Computer Self-Efficacy

The crowdsourcing innovation communities are user-centered, and their efficacy depends on the members’ continued participation. This study investigated the impact of high web-specific computer self-efficacy and harmonious work climate on individuals’ continued participation intention. In addition, the antecedents of high web-specific computer self-efficacy and harmonious work climate in the context of crowdsourcing innovation were also explored. Our research model was empirically examined using survey data collected from 291 members of a crowdsourcing innovation community (i.e., Xiaomi’s online platforms). The Partial Least Squares technique was utilized to test the research model. The results reveal that high web-specific computer self-efficacy and harmonious work climate positively influence individuals’ sustained participation intention; reasonable task recommendation and positive feedback are significant predictors of high web-specific computer self-efficacy; effective cooperation, fair competition, and positive feedback affect a harmonious work climate. Finally, this study discussed the theoretical and practical implications of these findings and provided possible directions for future research.