Coordination versus differentiation in a standards
war: 56K modems.
by Augereau, Angelique^Greenstein, Shane^Rysman, Marc
56K modems were introduced under two competing incompatible
standards. We show the importance of competition between internet
service providers in the adoption process. We show that ISPs were less
likely to adopt the technology that more competitors adopted. This
result is particularly striking given that industry participants
expected coordination on one standard or the other. We speculate about
the role of ISP differentiation in preventing the market from achieving
standardization until a standard setting organization intervened.
1. Introduction
* We study the adoption of 56K modems by internet service providers
(ISPs). Introduced in 1997, 56K modems allowed for data transfer off of
the Internet at up to twice the speed of the previous technology at a
time when the demand for large files such as graphics became
increasingly important. Originally, there were two competing
specifications for the standard from two competing consortia, one led by
the equipment manufacturer US Robotics, the other by Rockwell. The
technologies were functionally identical in the sense that they had the
same performance characteristics. However, the technologies were
incompatible. If a consumer used one technology and the consumer's
ISP used the other, data transfer speed diminished to that of the
previous technology, only 33K or 28K.
We focus on understanding the role of competition in adoption by an
ISP. We show that ISPs differentiated across technologies rather than
coordinating on one technology or the other. Specifically, we show that
ISPs were less likely to adopt a technology as more of their local
competitors adopted that technology. This differentiation is
particularly important because, as we discuss below, it hindered
coordination on a single standard technology, which could have provided
important benefits.
Theories about standardization discuss the role of competitive
choice between standards, but few prominent cases ever permit
researchers to garner a close look at behavior during deployment, which
we get here. Also, there is very little empirical research to examine
how competitive behavior shapes demand for competing standards or vice
versa. Data needs are the primary impediment. We rarely observe
competition between two comparable technologies played out in more than
one market. Even when that occurs, it is often difficult to disentangle
the effects of competition from other important effects.
This study's setting is uniquely well suited to meet these
requirements. An important feature of the ISP market is that consumers
almost always connect to ISPs within their local telephone calling plan.
This creates numerous geographically distinct or partially overlapping
markets, which leads to geographically dispersed decision making and a
variety of competitive interactions. We study over 2,200 ISPs in 2,300
calling areas. Thus, we are able to compare decisions across markets,
where a variety of factors shape decision making, such as the
competitive and demographic environment and ISP size.
We employ a series of empirical approaches. Simple statistics
illustrate a prevalence toward "even splits" in local markets.
That is, adopting ISPs were more likely to be evenly split between the
two technologies than would be predicted by independent random choice.
We also estimate a structurally motivated model of each ISP's
choice over adoption of the two technologies as a function of the
competitive environment, local demographics, ISP characteristics, and
ISP decision making across multiple markets. We capture the influence of
an ISP's adoption decision on its rivals in a discrete game of
imperfect information as suggested in Seim (2004).
Estimating a discrete game has well-known problems with endogeneity
and multiple equilibria. Fortunately, our data contain a great deal of
useful variation. ISPs have different technological characteristics and
face different demographic characteristics due to imperfectly
overlapping coverage areas. We use this exogenous variation to predict
the number of competitors that a given ISP faces. The great asymmetry in
the data means that our models typically have a unique equilibrium.
Throughout we conclude that an ISP is less likely to adopt a technology
as more of its competitors do so. We are particularly sensitive to the
robustness of our inferences to unobservable errors at ISPs or at
locations, so we pursue a variety of strategies for estimation in the
presence of such errors.
Understanding the deployment of 56K modems is also interesting
because the "standards war" for 56K was well publicized. While
many contemporary press reports discussed how modem makers competed
fiercely for adoption by the earliest choosers, few had substantial
data. Citing such accounts, Shapiro and Varian (1999, pp. 267-270)
feature the case prominently in their discussion of strategic behavior
and consortia development prior to deployment, but, again, they do not
present any evidence about actual adoption. Similarly, contemporary
press accounts tend to cover announcements from firms, not the
deployment in each local area. No research has closely examined the
deployment decision of service providers, as we do.
The events are also interesting because they end in intervention
from the International Telecommunications Union, a quasi-government
agency. Before ITU intervention, this experience appeared to be an
example of "coordination failure." That is, there was a
benefit to coordinating ISPs and consumers on a single standard as
quickly as possible, but market actors failed to quickly standardize.
Market participants expected that standardization would arise because it
was in users' interests to do so. The popular standard would have
more ISPs servicing it, which ensured consumers of high-quality,
low-hassle, low-price service into the future. However, coordination did
not arise in the first year of competition. Not only did the two
technologies maintain relatively similar levels of ISP commitments, but
overall sales to consumers and ISPs were well below what the market
could have supported. Sales increased only after the ITU introduced a
third incompatible standard as a new focal point. The new standard
quickly gained market acceptance, and high industry sales followed.
Did competitive rivalry among ISPs contribute to the market's
inability to coordinate on a standard unaided? In a final, more
speculative, section of the article, we argue that the standards war was
prolonged by the combination of the market's structure and the
behavior it induced, i.e., the incentive to differentiate locally. This
discussion directs further attention at issues not highlighted in the
applied literature on standardization, such as the role of service
provider competition in a standards war, and the role of
standard-setting organizations when the specification for the potential
standard is not fixed.
2. Related literature
* While user choice between alternatives plays a prominent role in
many models of standardization, there are few empirical studies for
characterizing its effect. Those that do so focused on either the
decision of whether to adopt a standard or not, or the decision of which
standard to adopt, but it has not dealt with decisions linking choice
between two standards and nonadoption.
A few prior studies of competition in technology adoption provide
us with general approaches for measuring competitive incentives. For
instance, Klepper (2002) uses exit patterns, comparing very competitive
and oligopolistic markets, to suggest a strong role for competition in
cost-reducing technology adoption in a number of manufacturing
industries. Genesove (1999) provides a study of the adoption of offset
printing by newspapers and argues that firms in more competitive markets
adopted earlier. Mulligan and Llinares (2003) show that ski lifts were
less likely to adopt quality-enhancing technology when local competitors
had done so.
We borrow broadly from the general approach of empirical studies of
technology adoption in network industries. (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. As in
our article, they infer consumer behavior from observing decisions by
firms in different locations. Gowrisankaran and Stavins (2004) and
Ackerberg and Gowrisankaran (2006) look at the adoption of automated
clearing house technology by banks. As we do here, they exploit
overlapping local geographic markets for important variation. However,
they use a very different structural model of adoption incentives.
There are a few articles that empirically model horizontal
competition between two standards. For example, Dranove and Gandal
(2003) argue that the introduction of the DIVX standard slowed down the
acceptance of DVD technology. Park (2004) and Ohashi (2003) study the
standards war between VHS and Beta in the VCR market. Using market-level
data on quantities and prices, they focus on the role of installed base.
Gandal, Kende, and Rob (2000) study network effects between producers of
compact disks and producers of CD players. They too find evidence of the
interaction between software and hardware.
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