Migration to open-standard interorganizational systems: Network effects, switching costs, and path dependency

• 成果类型: Article
• 署名作者: Zhu, Kevin; Kraemer, Kenneth L.; Gurbaxani, Vijay; Xu, Sean Xin
• 署名单位: University of California System; University of California San Diego; University of California System; University of California Irvine; Hong Kong University of Science & Technology
• 刊物名称: MIS QUARTERLY
• ISSN/ISSBN: 0276-7783
• 发表日期: 2006
• 页码: 515-539
• 关键词: ELECTRONIC DATA INTERCHANGE; information-technology; E-commerce; adoption; ORGANIZATIONS; externalities; INNOVATION; BUSINESS; MARKETS; COMPETITION

摘要

As firms seek to improve coordination through the use of electronic interorganizational systems (IOS), open standards are becoming increasingly important. To better understand diffusion, we investigate firms' the process of standards diffusion migration from proprietary or less-open IOS (i.e., electronic data interchange or EDI) to open-standard IOS (i.e., the Internet). Theoretical work in economics suggests that network are a determinant of network adoption, yet the work e extant literature falls short of empirical testing of the theory. We develop a conceptual model that features network effects, expected benefits, and adoption costs as prominent antecedents. We examine the model on a large dataset of 1,394 firms. The empirical results demonstrate the significant impacts on open-standard IOS adoption. impacts of network effects on open-standard IOS adoption. We find that adoption costs are a significant barrier to open-standard IOS adoption, but EDI users and nonusers treat this very differently: EDI users are much more sensitive to the costs of switching to the new, standard. This finding illustrates that experience with older standards may create switching costs and make it difficult to shift to open and switching costs and make it clef potentially better standards, a phenomenon called excess inertia in technology change. Further testing the underlying effects and adoption costs, factors that contribute to network effects and adoption costs, we find that trading community influence is a key driver of network effects, while managerial complexity, as opposed to financial costs, is a key determinant of adoption costs. Overall we believe that this study, based on a rigorous empirical analysis of a unique international dataset, provides valuable insights into a set of key factors that influence standards diffusion.