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Understanding the relationships between motivators and effort in crowdsourcing marketplaces: A nonlinear analysis

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  • Sun, Yongqiang
  • Wang, Nan
  • Yin, Chunxiao
  • Zhang, Jacky Xi

Abstract

Crowdsourcing marketplace as a new platform to source ideas or works from the public has become popular in the contemporary world. However, the predictors of user effort in the crowdsourcing context is rarely investigated. In this study, based on the expectancy theory which suggests the effects of reward valence, trust and self efficacy, we develop a research model to study the factors influencing effort. Further, the non-linear relationship between self efficacy and effort and the moderating role of task complexity is proposed. A field survey with 205 subjects are performed to test the research model. The results show that: (1) reward valence and trust positively influence effort; and (2) when task complexity is high (low), there will be a convex (concave) relationship between self efficacy and effort. Implications for theory and practice are also discussed.

Suggested Citation

  • Sun, Yongqiang & Wang, Nan & Yin, Chunxiao & Zhang, Jacky Xi, 2015. "Understanding the relationships between motivators and effort in crowdsourcing marketplaces: A nonlinear analysis," International Journal of Information Management, Elsevier, vol. 35(3), pages 267-276.
    • Handle: RePEc:eee:ininma:v:35:y:2015:i:3:p:267-276
    DOI: 10.1016/j.ijinfomgt.2015.01.009
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    References listed on IDEAS

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    Cited by:

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    2. Sutherland, Will & Jarrahi, Mohammad Hossein, 2018. "The sharing economy and digital platforms: A review and research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 328-341.
    3. Wang, Xingdong & Wang, Mengqi, 2021. "Study on the influencing factors of waterfowl farmers' veterinary drug use behavior," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329391, Asian Society of Agricultural Economists (ASAE).
    4. Meng-Meng Wang, 2022. "Encouraging solvers to sustain participation intention on crowdsourcing platforms: an investigation of social beliefs," Information Technology and Management, Springer, vol. 23(1), pages 39-50, March.
    5. Tuba Bakici, 2020. "Comparison of crowdsourcing platforms from social-psychological and motivational perspectives," Post-Print hal-02966992, HAL.
    6. Jabbour, Chady & Rey-Valette, Hélène & Maurel, Pierre & Salles, Jean-Michel, 2019. "Spatial data infrastructure management: A two-sided market approach for strategic reflections," International Journal of Information Management, Elsevier, vol. 45(C), pages 69-82.
    7. Akbari, Morteza & Foroudi, Pantea & Khodayari, Maryam & Zaman Fashami, Rahime & Shahabaldini parizi, Zahra & Shahriari, Elmira, 2022. "Sharing Your Assets: A Holistic Review of Sharing Economy," Journal of Business Research, Elsevier, vol. 140(C), pages 604-625.
    8. Pee, L.G. & Koh, E. & Goh, M., 2018. "Trait motivations of crowdsourcing and task choice: A distal-proximal perspective," International Journal of Information Management, Elsevier, vol. 40(C), pages 28-41.
    9. Wang, Xingdong & Lu, Pan, 2021. "Drivers of Farmers’ Intentions to Use Eco-Breeding: Integrating the Theory of Planned Behavior and the Norm Activation Model," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329393, Asian Society of Agricultural Economists (ASAE).

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