On Buyer Selection of Service Providers in Online Outsourcing Platforms for IT Services
成果类型:
Article
署名作者:
Hong, Yili; Pavlou, Paul A.
署名单位:
Arizona State University; Arizona State University-Tempe; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
刊物名称:
INFORMATION SYSTEMS RESEARCH
ISSN/ISSBN:
1047-7047
DOI:
10.1287/isre.2017.0709
发表日期:
2017
页码:
547-562
关键词:
CULTURAL-DIFFERENCES
TECHNOLOGY
systems
QUALITY
MARKETS
uncertainty
performance
price
complexity
COMMUNICATION
摘要:
The Internet has presumably created a level playing field that allows any service provider across the globe to compete for contracts on online outsourcing platforms for information technology (IT) services. In this paper, we empirically examine (a) how country (language, time zone, cultural) differences and the country's IT development affect buyers' selection of service providers in online outsourcing platforms; and (b) how the reputation of service providers moderates the proposed effects of country differences and the country's IT development. We integrated a unique data set formed by a sample of 11,541 software development projects from an online outsourcing platform matched with archival sources on the language, time zone, culture, and IT development of countries. Since price is typically endogenous in any supply demand system, we used the exogenous variation of the normalized exchange rate of the currency among countries, as a cost-shifter type instrumental variable (IV) for econometric identification. Our panel data analyses results (both with and without IV) show that buyers are negatively affected by country differences in terms of language, time zone, and culture, and prefer service providers from countries with higher IT development. Notably, the reputation of service providers attenuates the negative effects of language and cultural (but not time zone) differences, while it substitutes the positive effect of the country's IT development. We discuss the study's theoretical and managerial implications for understanding the global dynamics of online outsourcing platforms and better designing these platforms.
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