Author List: Burtch, Gordon; Ghose, Anindya; Wattal, Sunil;
MIS Quarterly, 2014, Volume 38, Issue 3, Page 773-794.
In this paper, we analyze patterns of transaction between individuals using data drawn from Kiva.org, a global online crowdfunding platform that facilitates prosocial, peer-to-peer lending. Our analysis, which employs an aggregate dataset of country-to-country lending volumes based on more than three million individual lending transactions that took place between 2005 and 2010, considers the dual roles of geographic distance and cultural differences on lenders’ decisions about which borrowers to support. While cultural differences have seen extensive study in the Information Systems literature as sources of friction in extended interactions, here, we argue and demonstrate their role in individuals’ selection of a transaction partner. We present evid ence that lenders do prefer culturally similar and geographically proximate borrowers. An analysis of the marginal effects indicates that an increase of one standard deviation in the cultural differences between lender and borrower countries is associated with 30 fewer lending actions, while an increase of one standard deviation in physical distance is associated with 0.23 fewer lending actions. We also identify a substitution effect between cultural differences and physical distance, such that a 50 percent increase in physical distance is associated with an approximate 30 percent decline in the effect of cultural differences. Considering approaches to overcoming the observed cultural effect, we offer some empirical evidence of the potential of IT-based trust mechanisms, focusing on Kiva’s reputation rating system for microfinance intermediaries. We discuss the implications of our findings for prosocial lending, online crowdfunding, and electronic markets more broadly.
Keywords: Prosocial lending; microfinance; cultural differences; geography; crowdfunding
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#28 0.158 cultural culture differences cross-cultural states united status national cultures japanese studies japan influence comparison versus china participants country singapore diverse
#247 0.122 online evidence offline presence empirical large assurance likely effect seal place synchronous population sites friends increases isomorphism rewards drop intermediaries
#258 0.107 information proximity message seeking perceived distance communication overload context geographic dispersed higher geographically task contexts recipient face-to-face temporal safe dyadic
#145 0.093 differences analysis different similar study findings based significant highly groups popular samples comparison similarities non-is variety reveals imitation versus suggests
#262 0.092 impact data effect set propensity potential unique increase matching use selection score results self-selection heterogeneity evidence measure associated estimate leads
#202 0.079 online uncertainty reputation sellers buyers seller marketplaces markets marketplace buyer price signaling auctions market premiums ebay transaction reverse literature comments
#182 0.060 percent sales average economic growth increasing total using number million percentage evidence analyze approximately does business flow annual book daily
#285 0.059 effects effect research data studies empirical information literature different interaction analysis implications findings results important set large provide using paper