1992
DOI: 10.3386/w4048
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Adoption of Technologies With Network Effects: An Empirical Examination of the Adoption of Automated Teller Machines

Abstract: The literature on networks suggests that the value of a network is positively affected by the number of geographically dispersed locations it serves (the "network effect") and the number of its users (the "production scale effect"). We show that as a result a firm's expected time until adoption of technologies with network effects declines in both users and locations. We provide empirical evidence on the adoption of automated teller machines by banks that is consistent with this prediction. Using standard dura… Show more

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Cited by 184 publications
(122 citation statements)
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“…Moreover, to the best of our knowledge, there exists no empirical study that has examined network effects in the context of a public transit system. Similar to the expansion of a network of automated teller machines examined by Saloner and Shepard (1995) and the adoption of the automated clearing house electronic payment systems examined by Gowrisankaran and Stavins (2004), 1 an expansion of a public transit system benefits not only new users but also existing users.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, to the best of our knowledge, there exists no empirical study that has examined network effects in the context of a public transit system. Similar to the expansion of a network of automated teller machines examined by Saloner and Shepard (1995) and the adoption of the automated clearing house electronic payment systems examined by Gowrisankaran and Stavins (2004), 1 an expansion of a public transit system benefits not only new users but also existing users.…”
Section: Introductionmentioning
confidence: 99%
“…The decision on whether to use cash or cards is conditional on the availability cash delivery channels. As noted by Saloner and Shepard (1995), the lower the geographic dispersion of ATMs (POS) the greater the benefits to cardholders wishing to use cash (cards), who are able to access ATMs (POS) in a wide variety of locations. We also include regional dummies as controls for the geographical location of the cardholders.…”
Section: Ecb Working Paper Series No 1141mentioning
confidence: 99%
“…We borrow broadly from the general approach of empirical studies of technology adoption in network industries, though none explicitly provides us with a model for how to measure competitive behavior in a standards war. 1 For example, Saloner and Shepard (1995) show the existence of network effects in bank service by showing that banks with more consumers adopt ATM networks earlier. Like our paper, they infer consumer behavior from observing decisions by firms in different locations.…”
Section: Related Literaturementioning
confidence: 99%