Author List: Thies, Ferdinand; Wessel, Michael; Benlian, Alexander;
Journal of Management Information Systems, 2016, Volume 33, Issue 3, Page 843-873.
Despite the increasing relevance of online social interactions on platforms, there is still little research on the temporal interaction dynamics between electronic word-of-mouth (eWOM, a form of opinion-based social interaction), popularity information (a form of action-based social interaction), and consumer decision making. Drawing on a panel data set of more than 23,300 crowdfunding campaigns from Indiegogo, we investigate the dynamic effects of these social interactions on consumers' funding decisions using the panel vector autoregressive methodology. Our analysis shows that both eWOM and popularity information are critical influencing mechanisms in crowdfunding. However, our overarching finding is that eWOM surrounding crowdfunding campaigns on Indiegogo or Facebook has a significant yet substantially weaker predictive power than popularity information. We also find that whereas popularity information has a more immediate effect on consumers' funding behavior, its effectiveness decays rather quickly, while the impact of eWOM recedes more slowly. This study contributes to the extant literature by (1) providing a more nuanced understanding of the dynamic effects of opinion-based and action-based social interactions, (2) unraveling both within-platform and cross-platform dynamics, and (3) showing that social interactions are perceived as quality indicators on crowdfunding platforms that help consumers reduce risks associated with their investment decisions. These results can help platform providers and complementors to stimulate contribution behavior and increase the prosperity of a platform. > >
Keywords: crowdfunding; electronic word-of-mouth eWOM; informational cascades ;online platforms ;panel vector autoregression; popularity information platform ;success ;reward-based crowdfunding
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#241 0.220 information stage stages venture policies ewom paper crowdfunding second influence revelation funding cost important investigation ventures session studied electronic multiple
#234 0.107 social networks influence presence interactions network media networking diffusion implications individuals people results exchange paper sites evidence self-disclosure important examine
#98 0.099 platform platforms dynamics ecosystem greater generation open ecosystems evolution two-sided technologies investigate generations migration services implications interplay disruptive control markets
#133 0.089 data predictive analytics sharing big using modeling set power inference behavior explanatory related prediction statistical generated substantially novel building million
#130 0.063 online users active paper using increasingly informational user data internet overall little various understanding empirical despite lead cascades help availability
#116 0.059 research study influence effects literature theoretical use understanding theory using impact behavior insights examine influences mechanisms specifically context perspective findings
#199 0.053 reviews product online review products wom consumers consumer ratings sales word-of-mouth impact reviewers word using effect marketing helpfulness electronic commerce
#136 0.052 expectations expectation music disconfirmation sales analysis vector experiences modeling response polynomial surface discuss panel new nonlinear period understand paper dissonance