EXPRESS: When Do Marketing Ideation Crowdsourcing Contests Create Shareholder Value? The Effect of Contest Design and Marketing Resource Factors

Author:

Cao Zixia,Feng Hui,Wiles Michael A.

Abstract

Firms often use crowdsourcing contests to develop marketing ideas and solutions. Despite this prevalence—and unique aspects—of marketing ideation crowdsourcing contests (MICC), there has been little examination of these contests’ shareholder wealth implications. Adopting a signaling perspective, we conduct an event study of 508 MICC announcements and find that they are associated with higher returns, but also higher idiosyncratic risk—indicating investors hold a mixed view of such contests. Further, we consider how contest design factors and firm marketing resources may signal the cultivation of intellectual and relational market-based assets to shape their stock market impact—providing firms guidance to better design their MICCs. Specifically, we find returns are enhanced when using professional (vs. general public) contests, specifically scoped contests, contests using crowd judging (vs. expert panels), and for firms with stronger marketing capabilities. However, brand factors have mixed effects on returns with a brand’s relevant stature having a positive effect and its energized differentiation having a negative effect on returns. Product MICCs and generally scoped contests heighten the negative effects on risk while marketing resources have no impact. Results offer implications for practitioners, including the finding that many MICC design choices commonly used in practice (i.e., general public contests and expert panels) are viewed less favorably by investors.

Publisher

SAGE Publications

Subject

Marketing,Business and International Management

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Effect of Knowledge Sharing on Participant Performance in Artificial Intelligence Contests: A Quasi-experiment;2024 Portland International Conference on Management of Engineering and Technology (PICMET);2024-08-04

2. How relationship norms and task complexity affect consumer perceptions of quality in crowdsourcing;International Journal of Consumer Studies;2024-05

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