Opening the "Black Box" of Network Externalities in Network Adoption

By Robert J. Kauffman, James McAndrews, Yu-Ming Wang. Information systems research, 2000

341 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Media Technology, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/62566a10e44e2db6933e11c556ad098cfacd374a

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In Management Science and Operations Research

In Media Technology

In Strategy and Management

Citations in the corpus

Wakes of Innovation in Project Networks: The Case of Digital 3-D Representations in Architecture, Engineering, and Construction (2007, methodology): “This characterization differs from the traditional attempts to explain the diffusion of innovations, which have focused on understanding the adoption of a single technology application like enterprise resource planning systems, or computer-aided software engineering tools within an organization (Coo”
The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application (2008, methodology): “We have seen network externality theory applied in the contexts of interorganizational systems [206], electronic data interchange [242], digital wireless phones [143,144], automated clearing houses in banking [1] electronic banking and ATM networks [98,141,146], and EBPP [4–6], among others.”
Measuring Information Technology's Indirect Impact on Firm Performance (2004, background): “Some IT investments may be used to assist check processing and increase labor productivity and some may be used to expand market share (Banker and Kauffman, 1991; [20]).”
Why do people play on-line games? An extended TAM with social influences and flow experience (2004, background): “The importance of these two variables can be explained with reference to existing literature on influences in social psychology, and flow experience in flow theory [18,29,47].”
On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services (2018, background): “Later, stand-alone bank-connected ATMs were deployed, followed by shared networks of multiple banks’ ATMs [90], and later network universality capabilities that brought CIRRUS and PLUS together in the U.”
Platform Competition: A Systematic and Interdisciplinary Review of the Literature (2020, neutral): “…Majumdar & Venkataraman, 1998), electronic payments and automated teller machine networks (ATMs) used by banks (e.g., Gowrisankaran & Stavins 2004; Kauffman, McAndrews & Wang, 2000; Salop, 1990), video cassette recorders (VCRs; e.g., Cusumano, Mylonadis & Roosenbloom, 1992; Ohashi, 2003),…”
Limits to value in electronic commerce-related IT investments (2000, background): “IT also creates benefits through positive network externalities [34, 36].”
Cocreation of Value in a Platform Ecosystem: The Case of Enterprise Software (2012, background): “The literature on standards competition reveals that technology compatibility is often a prerequisite to gaining access to the user base of the platform owner (Katz and Shapiro 1994; Matutes and Regibeau 1988; Tassey 2000), and there is a large body of empirical evidence on the value of technology c”
Informational Cascades and Software Adoption on the Internet: An Empirical Investigation (2009, background): “As we mentioned earlier, many software products are expected to be subject to network effects (Gallaugher and Wang 2002; Kauffman et al. 2000), which also suggests that online users’ adoption decisions are influenced by others’ adoption decisions.”
Economics and Electronic Commerce: Survey and Directions for Research (2001, background): “examine how network externalities have influenced the adoption of shared electronic banking networks at the regional and national levels [219].”
Elucidating Individual Intention to Use Interactive Information Technologies: The Role of Network Externalities (2008, background): “While prior studies such as those of Gandal and of Kauffman, McAndrews, and Wang considered the total (installed) network size to quantify the magnitude of the direct network effect [18, 24], this study of individual network-based IT usage examined the referent (personal) network size.”
Privacy Protection and Technology Diffusion: The Case of Electronic Medical Records (2009, methodology): “We use a multinomial logit model for our panel data to analyze four competing decisions: the decision to not adopt EMR at all; the decision to adopt “open-loop” EMR enterprise system; the decision to adopt a “closed-loop” EMR enterprise system from a small firm that has no commitment to…”
Migration to Open-Standard Interorganizational Systems: Network Effects, Switching Costs, and Path Dependency (2005, methodology): “…to believe that the expected benefits from open-standard IOS are strongly influenced by network effects (Katz and Shapiro 1985), which have been empirically identified as a significant factor in explaining technology diffusion in other settings (Brynjolfsson and Kemerer 1996; Kauffman et al. 2000).”