The role of trust management in reward-based crowdfunding

Purpose – The purpose of this paper is to investigate the role of trust management on the fundraising performance in reward-based crowdfunding. Design/methodology/approach – A research model was constructed based on elaboration likelihood model (ELM) and literatures with five hypotheses developed. Data were collected from www.demohour.com - the first and one of the largest reward-based crowdfunding platforms in China. In total, 829 reward-based crowdfunding projects were analyzed to test hypotheses. To test the hypotheses, partial least squares was used to analyze data of entrepreneur/sponsor profiles, entrepreneur/sponsor behaviors, and crowdfunding projects. Findings – Results indicated trust management significantly promoted fundraising performance via central (entrepreneur’s creditworthiness) and peripheral (entrepreneur-sponsor interactions) routes. The peripheral route (entrepreneur-sponsor interaction) showed significantly higher effects than the central route (entrepreneur’s creditworthiness). The...

[1]  Kineta H. Hung,et al.  When Does Guanxi Matter? Issues of Capitalization and Its Dark Sides: , 2008 .

[2]  Jo Pierson,et al.  Social media and cookies: challenges for online privacy , 2011 .

[3]  Alain Yee-Loong Chong,et al.  Examining the antecedents of persuasive eWOM messages in social media , 2014, Online Inf. Rev..

[4]  Sa-Kwang Song,et al.  Media-aware quantitative trading based on public Web information , 2014, Decis. Support Syst..

[5]  Don Y. Lee The Impact of Poor Performance on Risk‐Taking Attitudes: A Longitudinal Study with a PLS Causal Modeling Approach , 1997 .

[6]  James A. Eckert,et al.  Using the elaboration likelihood model to guide customer service‐based segmentation , 1997 .

[7]  D. Straub,et al.  Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly , 2012 .

[8]  Matthew K. O. Lee,et al.  Exploring online social behavior in crowdsourcing communities: A relationship management perspective , 2014, Comput. Hum. Behav..

[9]  Izak Benbasat,et al.  Trust-Assuring Arguments in B2C E-commerce: Impact of Content, Source, and Price on Trust , 2009, J. Manag. Inf. Syst..

[10]  Paul Belleflamme,et al.  Crowdfunding: Tapping the Right Crowd , 2013, SSRN Electronic Journal.

[11]  Jinhong Xie,et al.  Online Social Interactions: A Natural Experiment on Word of Mouth versus Observational Learning , 2010 .

[12]  Nicola E. Stokburger-Sauer,et al.  Customer co-creation of travel services: the role of company support and customer satisfaction with the co-creation performance. , 2012 .

[13]  A. Parasuraman,et al.  Crowd-Funding: Transforming Customers into Investors through Innovative Service Platforms , 2011 .

[14]  A. Stemler The JOBS Act and Crowdfunding: Harnessing the Power – and Money – of the Masses , 2013 .

[15]  Bechter,et al.  From Wisdom of the Crowd to Crowdfunding , 2011 .

[16]  Ohad Barzilay,et al.  Playing Both Sides of the Market: Success and Reciprocity on Crowdfunding Platforms , 2015, ICIS.

[17]  Paul A. Gompers,et al.  Performance persistence in entrepreneurship , 2010 .

[18]  R. Petty,et al.  Persuasion: From Single to Multiple to Metacognitive Processes , 2008, Perspectives on psychological science : a journal of the Association for Psychological Science.

[19]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[20]  Xinlei Chen,et al.  Does Online Community Participation Foster Risky Financial Behavior? , 2012 .

[21]  Wei Wei Goh,et al.  Conceptualizing Persuasive Messages Using ELM in Social Media , 2014 .

[22]  Ethan Mollick The Dynamics of Crowdfunding: An Exploratory Study , 2014 .

[23]  Camiel J. Beukeboom,et al.  A stage to engage: Social media use and corporate reputation , 2015 .

[24]  J. Cacioppo,et al.  Attitudes and Persuasion: Classic and Contemporary Approaches , 1981 .

[25]  Arnt Wöhrmann,et al.  Acquisition and integration of fair value information on liabilities into investors' judgments , 2011 .

[26]  Hui Wang,et al.  Building Consumer-to-Consumer Trust in E-Finance Marketplaces: An Empirical Analysis , 2010, Int. J. Electron. Commer..

[27]  H. Raghav Rao,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2008, Decis. Support Syst..

[28]  P. J. Sher,et al.  Consumer skepticism and online reviews: An Elaboration Likelihood Model perspective , 2009 .

[29]  Gayle Kerr,et al.  The elaboration likelihood model: review, critique and research agenda , 2014 .

[30]  Lorne Olfman,et al.  The Influence of On-Line Brand Community Characteristics on Community Commitment and Brand Loyalty , 2008, Int. J. Electron. Commer..

[31]  Leonardo Becchetti,et al.  Enhancing capabilities through credit access: Creditworthiness as a signal of trustworthiness under asymmetric information , 2011 .

[32]  Chang-Hoan Cho How Advertising Works on the WWW: Modified Elaboration Likelihood Model , 1999 .

[33]  J. Cacioppo,et al.  Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement , 1983 .

[34]  Han Zhang,et al.  Determinants of online merchant rating: Content analysis of consumer comments about Yahoo merchants , 2008, Decis. Support Syst..

[35]  Ricardo Colomo Palacios,et al.  The effect of information overload and disorganisation on intention to purchase online: The role of perceived risk and internet experience , 2014, Online Inf. Rev..

[36]  Xiao Ma,et al.  Impact of Prior Reviews on the Subsequent Review Process in Reputation Systems , 2013, J. Manag. Inf. Syst..

[37]  Wen-Bao Lin,et al.  Investigation on the model of consumers' perceived risk - integrated viewpoint , 2008, Expert Syst. Appl..

[38]  Eric J. Karson,et al.  An Experimental Investigation of Internet Advertising and the Elaboration Likelihood Model , 2001 .

[39]  Bradley R. Barnes,et al.  Investigating guanxi dimensions and relationship outcomes: Insights from Sino-Anglo business relationships , 2011 .

[40]  Youjae Yi,et al.  Customer value co-creation behavior: scale development and validation , 2013 .

[41]  Tao Wang,et al.  Antecedents of Project Implementation Success in crowdfunding , 2014, PACIS.

[42]  Yun Xu,et al.  The role of multidimensional social capital in crowdfunding: A comparative study in China and US , 2014, Inf. Manag..

[43]  Hans Rüdiger Kaufmann,et al.  Intentions to use and recommend to others: An empirical study of online banking practices in Portugal and Austria , 2014, Online Inf. Rev..

[44]  Sijun Wang,et al.  Signaling the trustworthiness of small online retailers , 2004 .

[45]  N. S. Bhutada,et al.  Impact of celebrity endorsements in disease-specific direct-to-consumer (DTC) advertisements , 2014 .

[46]  Daejoong Kim,et al.  Understanding persuasive elements in phishing e-mails: A categorical content and semantic network analysis , 2013, Online Inf. Rev..

[47]  Ma Feicheng,et al.  Utilising social network analysis to study the characteristics and functions of the co-occurrence network of online tags , 2014 .

[48]  Jeff Howe,et al.  Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business , 2008, Human Resource Management International Digest.

[49]  J. Cacioppo,et al.  The Effects of Involvement on Responses to Argument Quantity and Quality: Central and Peripheral Routes to Persuasion , 1984 .

[50]  R. Sitgreaves Psychometric theory (2nd ed.). , 1979 .

[51]  Shuk Ying Ho,et al.  Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective , 2005, Inf. Syst. Res..

[52]  Armin Schwienbacher,et al.  Crowdfunding: An Industrial Organization Perspective , 2010 .

[53]  S. Ghoshal,et al.  Social Capital and Value Creation: The Role of Intrafirm Networks , 1998 .

[54]  Iris Xie,et al.  Social media application in digital libraries , 2014, Online Inf. Rev..

[55]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[56]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[57]  Steven M. Crooks,et al.  Examining Online Learning Patterns with Data Mining Techniques in Peer-Moderated and Teacher-Moderated Courses , 2009 .

[58]  John T. Cacioppo,et al.  The Elaboration Likelihood Model of Persuasion , 1986, Advances in Experimental Social Psychology.

[59]  Clemens Bechter,et al.  From Wisdom to Wisdom of the Crowd and Crowdfunding , 2011 .

[60]  Jaejeung Rho,et al.  Why people use Twitter: social conformity and social value perspectives , 2014, Online Inf. Rev..

[61]  Yongqiang Sun,et al.  Unleash the Power of Mobile Word-of-Mouth: An Empirical Study of System and Information Characteristics in Ubiquitous Decision Making , 2013, Online Inf. Rev..

[62]  Azi Lev-On,et al.  Uses and gratifications of members of communities of practice , 2015, Online Inf. Rev..

[63]  Bernard Dixon,et al.  Beyond the magic bullet , 1978 .