Publication | Open Access
Entrepreneurial crowdfunding backer motivations: a latent Dirichlet allocation approach
29
Citations
65
References
2021
Year
Digital MarketingProject ManagementConsumer ResearchSocial InfluenceEntrepreneurial MotivationEntrepreneurshipInfluencer StudiesSocial MediaCrowdfunding CrowdOnline CommunityManagementStakeholder EngagementCrowdfunding ProjectMedia MarketingMotivationCrowdsourcingMarketingBehavioral EconomicsCrowdfundingSocial ComputingInteractive MarketingUser InvolvementBusinessBacker MotivationsPersuasion
Purpose This study furthers one’s understanding of the motivations of the crowdfunding crowd by empirically examining critical factors that influence the crowd's decision to support a crowdfunding project. Design/methodology/approach Backer's comments from a sample of the top 100 most funded technology product projects on KickStarter were collected. A latent Dirichlet allocation (LDA) analysis strategy was adopted to investigate critical motivational factors. Three experts mapped those factors to the known theoretical constructs of social exchange theory (SET). Findings Although backers are motivated by value, they are also motivated by far less tangible social factors including trust and a feeling of psychological ownership. Findings suggest that the crowd is far more than a passive group of investors or customers and should be viewed as participatory stakeholders. This study serves as guidance for project owners hoping to motivate the crowd and for future investigators examining backer motivations in other types of crowdsourcing projects. Research limitations/implications Online chatter in the form of user-generated comments is an excellent data source for researchers to mine for value and meaning. Practical implications Given strong feelings of psychological ownership, project owners should actively engage the crowd and solicit the crowd for advice and help in order to motivate them. Originality/value The study presents the first empirical exploration of backer motivations using LDA guided by theory and the knowledge of experts. A framework of latent motivational factors is proposed.
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