IEEE Access (Jan 2023)

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

  • Ruoyu Liang,
  • Zi Ye,
  • Jing Zhang,
  • Liwen Shi,
  • Zhangfan Shen,
  • Wenbin Du

DOI
https://doi.org/10.1109/ACCESS.2023.3314331
Journal volume & issue
Vol. 11
pp. 100309 – 100322

Abstract

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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.

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