Cultural Differences and Geography as Determinants of Online Prosocial Lending

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 evidence 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.

[1]  Bernard M. Bass,et al.  Assessment of Managers: An International Comparison , 1979 .

[2]  Harbir Singh,et al.  The Effect of National Culture on the Choice of Entry Mode , 1988 .

[3]  Nancy J. Adler,et al.  Communicating across Cultural Barriers , 1991 .

[4]  Yannis Bakos,et al.  A Strategic Analysis of Electronic Marketplaces , 1991, MIS Q..

[5]  Peregrine Schwartz-Shea,et al.  Egoism, Parochialism, and Universalism , 1991 .

[6]  Matthijs Kalmijn,et al.  Assortative Mating by Cultural and Economic Occupational Status , 1994, American Journal of Sociology.

[7]  Curtis P. Haugtvedt,et al.  Message Order Effects in Persuasion: An Attitude Strength Perspective , 1994 .

[8]  Detmar W. Straub,et al.  The Effect of Culture on IT Diffusion: E-Mail and FAX in Japan and the U.S , 1994, Inf. Syst. Res..

[9]  Christopher K. Hsee,et al.  The Evaluability Hypothesis: An Explanation for Preference Reversals between Joint and Separate Evaluations of Alternatives , 1996 .

[10]  Detmar W. Straub,et al.  Testing the technology acceptance model across cultures: A three country study , 1997, Inf. Manag..

[11]  Gur Huberman,et al.  Familiarity Breeds Investment , 1999 .

[12]  Tanja Ellingsen,et al.  Colorful Community or Ethnic Witches' Brew? , 2000 .

[13]  Bernard C. Y. Tan,et al.  Dimensions of national culture and corporate adoption of IT infrastructure , 2001, IEEE Trans. Engineering Management.

[14]  Mark Grinblatt,et al.  How Distance, Language, and Culture Influence Stockholdings and Trades , 2001 .

[15]  Prashant Palvia,et al.  B2C Internet Commerce: A Tale of Two Nations , 2002, J. Electron. Commer. Res..

[16]  Paul A. Pavlou,et al.  Building Effective Online Marketplaces with Institution-Based Trust , 2004, Inf. Syst. Res..

[17]  P. Allison,et al.  7. Fixed-Effects Negative Binomial Regression Models , 2002 .

[18]  Lise Vesterlund,et al.  The informational value of sequential fundraising , 2003 .

[19]  P. Earley,et al.  Cultural Intelligence: Individual Interactions Across Cultures , 2020 .

[20]  Sundeep Sahay,et al.  Managing cross-cultural issues in global software outsourcing , 2004, CACM.

[21]  Silvana Tenreyro,et al.  The Log of Gravity , 2004 .

[22]  Paul A. Pavlou,et al.  Psychological Contract Violation in Online Marketplaces: Antecedents, Consequences, and Moderating Role , 2005, Inf. Syst. Res..

[23]  T. Mayer,et al.  Market Access in Global and Regional Trade , 2005 .

[24]  Avi Goldfarb,et al.  Does the Internet Defy the Law of Gravity? , 2006 .

[25]  Erran Carmel,et al.  Is the World Really Flat? A Look at Offshoring in an Online Programming Marketplace , 2008, MIS Q..

[26]  Emmanuelle Vaast,et al.  Innovating or Doing as Told? Status Differences and Overlapping Boundaries in Offshore Collaboration , 2008, MIS Q..

[27]  Dorothy E. Leidner,et al.  Review: A Review of Culture in Information Systems Research: Toward a Theory of Information Technology Culture Conflict , 2006, MIS Q..

[28]  Pamela Abbott,et al.  Why 'nearshore' means that distance matters , 2007, CACM.

[29]  J. Lee,et al.  Tourists' intention to visit a country: the impact of cultural distance. , 2007 .

[30]  E. Helpman,et al.  ESTIMATING TRADE FLOWS : TRADING PARTNERS AND TRADING VOLUMES Elhanan Helpman , 2007 .

[31]  Soon Ang,et al.  Cultural Intelligence and Offshore Outsourcing Success: A Framework of Firm-Level Intercultural Capability , 2008, Decis. Sci..

[32]  Gary Garrison,et al.  Research Note - A Model of Conflict, Leadership, and Performance in Virtual Teams , 2008, Inf. Syst. Res..

[33]  Likoebe M. Maruping,et al.  Offshore information systems project success: the role of social embeddedness and cultural characteristics , 2009 .

[34]  Natalia Levina,et al.  Immigrant managers as boundary spanners on offshored software development projects: partners or bosses? , 2009, IWIC '09.

[35]  Ali Hortaçsu,et al.  The Geography of Trade in Online Transactions: Evidence from eBay and MercadoLibre , 2009 .

[36]  Brent McFerran,et al.  Overcoming Beneficiary Race as an Impediment to Charitable Donations: Social Dominance Orientation, the Experience of Moral Elevation, and Donation Behavior , 2009, Personality & social psychology bulletin.

[37]  A. Shleifer,et al.  Regulation and Distrust , 2009 .

[38]  David Leblang,et al.  Familiarity Breeds Investment: Diaspora Networks and International Investment , 2010, American Political Science Review.

[39]  Maarten L. Buis,et al.  Stata Tip 87: Interpretation of Interactions in Nonlinear Models , 2010 .

[40]  Michael W. Kraus,et al.  Having less, giving more: the influence of social class on prosocial behavior. , 2010, Journal of personality and social psychology.

[41]  Avi Goldfarb,et al.  Entrepreneurial Finance and the Flat-World Hypothesis: Evidence from Crowd-Funding Entrepreneurs in the Arts , 2010 .

[42]  Y. Algan,et al.  Inherited Trust and Growth , 2010 .

[43]  Ronald Inglehart,et al.  Changing Mass Priorities: The Link between Modernization and Democracy , 2010, Perspectives on Politics.

[44]  R. Rajan,et al.  How Different are FDI and FPI Flows?: Distance and Capital Market Integration , 2011 .

[45]  Andrew T. Stephen,et al.  Microfinance Decision Making: A Field Study of Prosocial Lending , 2010 .

[46]  Tara S. Behrend,et al.  The viability of crowdsourcing for survey research , 2011, Behavior research methods.

[47]  Debraj Ray,et al.  Ethnicity and Conflict: Theory and Facts , 2012, Science.

[48]  Yang Liu,et al.  "I loan because...": understanding motivations for pro-social lending , 2012, WSDM '12.

[49]  Beibei Li,et al.  Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content , 2011, Mark. Sci..

[50]  Daniel Paravisini,et al.  Cultural Proximity and Loan Outcomes , 2012 .

[51]  Mariassunta Giannetti,et al.  Do Cultural Differences between Contracting Parties Matter? Evidence from Syndicated Bank Loans , 2008, Manag. Sci..

[52]  Anindya Ghose,et al.  An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets , 2013, Inf. Syst. Res..

[53]  Katharina Reinecke,et al.  Knowing What a User Likes: A Design Science Approach to Interfaces that Automatically Adapt to Culture , 2013, MIS Q..

[54]  M. K. Chen The Effect of Language on Economic Behavior: Evidence from Savings Rates, Health Behaviors, and Retirement Assets , 2012, The American economic review.

[55]  Siva Viswanathan,et al.  Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending , 2011, Manag. Sci..

[56]  Beibei Li,et al.  Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue , 2013, Manag. Sci..

[57]  S. Viswanathan,et al.  Home Bias in Online Investments: An Empirical Study of an Online Crowdfunding Market , 2014 .

[58]  Heuristics and Biases , 2014 .

[59]  Gordon Burtch,et al.  Leveraging Information Systems for Enhanced Product Innovation , 2014 .

[60]  Anindya Ghose,et al.  The Hidden Cost of Accommodating Crowdfunder Privacy Preferences: A Randomized Field Experiment , 2014, Manag. Sci..