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Opening the “Black Box” of Network Externalities in Network Adoption
Abstract
Recent theoretical work suggests that network externalities are a determinant of network adoption. However, few empirical studies have reported the impact of network externalities on the adoption of networks. As a result, little is known about the extent to which network externalities may influence network adoption and diffusion. Using electronic banking as a context and an econometric technique called hazard modeling, this research examines empirically the impact of network externalities and other influences that combine to determine network membership. The results support the network externalities hypothesis. We find that banks in markets that can generate a larger effective network size and a higher level of externalities tend to adopt early, while the size of a bank's own branch network (a proxy for the opportunity cost of adoption)decreases the probability of early adoption.
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Cites
The emerging role of electronic marketplaces on the Internet
Bakos, Y. (1998) · Communications of the ACM · doi:10.1145/280324.280330 · Cited by 1,386
The impact of information systems on organizations and markets
Gurbaxani, V., & Whang, S. (1991) · Communications of the ACM · doi:10.1145/99977.99990 · Cited by 960
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Zhu, K., Kraemer, K. L., Gurbaxani, V., & Xu, S. X. (2006) · MIS Quarterly · doi:10.2307/25148771 · Cited by 500
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Pflughoeft, K. A., Ramamurthy, K., Soofi, E. S., Yasai‐Ardekani, M., & Zahedi, F. (. (2003) · Decision Sciences · doi:10.1111/j.1540-5414.2003.02539.x · Cited by 139
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Metadata
- Authors
- Kauffman, R. J., McAndrews, J., & Wang, Y.-M.
- Venue
- Information Systems Research
- Published
- 2000-03
- Volume
- 11
- Issue
- 1
- Pages
- 61-82
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2101356889
- Cited by
- 300
- References
- 2
- FWCI
- 34.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kauffman, R. J., McAndrews, J., & Wang, Y.-M. (2000). Opening the “Black Box” of Network Externalities in Network Adoption. Information Systems Research. https://doi.org/10.1287/isre.11.1.61.11783
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