IS

Burtch, Gordon

Topic Weight Topic Terms
0.202 impact data effect set propensity potential unique increase matching use selection score results self-selection heterogeneity
0.158 cultural culture differences cross-cultural states united status national cultures japanese studies japan influence comparison versus
0.126 percent sales average economic growth increasing total using number million percentage evidence analyze approximately does
0.122 online evidence offline presence empirical large assurance likely effect seal place synchronous population sites friends
0.110 information proximity message seeking perceived distance communication overload context geographic dispersed higher geographically task contexts
0.102 information stage stages venture policies ewom paper crowdfunding second influence revelation funding cost important investigation

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Ghose, Anindya 2 Wattal, Sunil 2
crowdfunding 2 cultural differences 1 economics of IS 1 electronic commerce 1
geography 1 microfinance 1 Prosocial lending 1

Articles (2)

Cultural Differences and Geography as Determinants of Online Prosocial Lending (MIS Quarterly, 2014)
Authors: Abstract:
    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.
An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets. (Information Systems Research, 2013)
Authors: Abstract:
    Crowd-funded markets have recently emerged as a novel source of capital for entrepreneurs. As the economic potential of these markets is now being realized, they are beginning to go mainstream, a trend reflected by the explicit attention crowdfunding has received in the American Jobs Act as a potential avenue for economic growth, as well as the recent focus that regulators such as the U.S. Securities and Exchange Commission have placed upon it. Although the formulation of regulation and policy surrounding crowd-funded markets is becoming increasingly important, the behavior of crowdfunders, an important aspect that must be considered in this formulation effort, is not yet well understood. A key factor that can influence the behavior of crowd funders is information on prior contribution behavior, including the amount and timing of others' contributions, which is published for general consumption. With that in mind, in this study, we empirically examine social influence in a crowd-funded marketplace for online journalism projects, employing a unique data set that incorporates contribution events and Web traffic statistics for approximately 100 story pitches. This data set allows us to examine both the antecedents and consequences of the contribution process. First, noting that digital journalism is a form of public good, we evaluate the applicability of two competing classes of economic models that explain private contribution toward public goods in the presence of social information: substitution models and reinforcement models. We also propose a new measure that captures both the amount and the timing of others' contribution behavior: contribution frequency (dollars per unit time). We find evidence in support of a substitution model, which suggests a partial crowding-out effect, where contributors may experience a decrease in their marginal utility from making a contribution as it becomes less important to the recipient. Further, we find that the duration of funding and, more importantly, the degree of exposure that a pitch receives over the course of the funding process, are positively associated with readership upon the story's publication. This appears to validate the widely held belief that a key benefit of the crowdfunding model is the potential it offers for awareness and attention-building around causes and ventures. This last aspect is a major contribution of the study, as it demonstrates a clear linkage between marketing effort and the success of crowd-funded projects.