Estimating Value Creation from Revealed Preferences: Application to Value‐based Strategies

Published date01 October 2017
AuthorOlivier Chatain,Denisa Mindruta
DOIhttp://doi.org/10.1002/smj.2633
Date01 October 2017
Strategic Management Journal
Strat. Mgmt. J.,38: 1964–1985 (2017)
Published online EarlyView 15 February 2017 in WileyOnline Library (wileyonlinelibrary.com) DOI: 10.1002/smj.2633
Received 1 March 2013;Final revisionreceived 7 December 2016
Estimating Value Creation from Revealed Preferences:
Application to Value-based Strategies
Olivier Chatain*and Denisa Mindruta
Strategy and Business Policy, HEC Paris, Jouy-en-Josas, France
Research summary: We develop and apply a new set of empirical tools consistent with the tenets
of value-based business strategies, leveraging the principle that “no good deal comes undone”
and the methods of revealed preferences, to empirically estimate drivers of value creation. We
demonstrate how to use these tools in an analysis of value creationin buyer –supplier relationships
in the UK corporate legal market. We show that our approach can uncover evidence of subtle
mechanisms that traditional methods cannot easily distinguish from each other. Furthermore, we
show how the estimates can be used as parameters of biform games for out-of-sample analyses of
strategic decisions. Withreadily available data on relationships between rms, this approach can
be applied to many other contexts of interest to strategy researchers.
Managerial summary: Managers need to understand the drivers of value creation for customers
in order to make competitive positioning decisions and understand when they can capture value
under competition. However, estimates of the relative importance of each driver are typically
difcult to obtain. In this article, we help remedy this problem by demonstrating a novel method
that obtains estimates of the contribution of various drivers of value creation from commonly
available data of buyer– supplier relationships. These estimates can then be used to inform the
strategy-making process. Copyright © 2017 John Wiley & Sons, Ltd.
Introduction
The notions of value creation and value capture,
as introduced to strategic management by Bran-
denburger and Stuart’s (1996) value-based theory,
have become a unifying framework for theoriz-
ing about rm heterogeneity and competition in
competitive strategy research. For instance, use of
these notions was instrumental in clarifying cen-
tral theoretical concepts in the resource-based view
(Hoopes, Madsen, & Walker, 2003; Leiblein, 2011;
Lippman & Rumelt, 2003). By jointly analyzing
Keywords: buyer–supplier relationships; client-specic
economies of scope; cooperative game theory; revealed
preferences; value-based strategy
*Correspondence to: Olivier Chatain, HEC Paris, Strategy and
Business Policy Department, 1 rue de la Libération, 78350
Jouy-en-Josas, France. E-mail: chatain@hec.fr
Copyright © 2017 John Wiley & Sons, Ltd.
value creation and value capture, the value-based
framework has provided a structure for linking rm
performance and demand characteristics (Adner &
Zemsky, 2006; Priem, 2007) and has led to novel
insights on how value is captured under compe-
tition (MacDonald & Ryall, 2004). This frame-
work has been used to study drivers of strategic
advantages in various contexts such as factor mar-
kets (Adegbesan, 2009), product markets (Chatain
& Zemsky, 2011), incentive contracts (Obloj &
Zemsky, 2015), and networks (Ryall & Sorenson,
2007).
Given the uptick in applied theorizing offered
by the value-based framework, the development
of empirical methods specically tailored to it
could greatly benet strategy researchers and
practitioners. Yet, a chasm remains between the
theoretical advances building on Brandenburger
and Stuart (1996, 2007) and the empirical work
Estimating Value Creation from Revealed Preferences 1965
adopting such value-based lens. A prominent
limitation is the inability of mainstream empirical
methods to identify and estimate parameters of
the underlying formal models. Past empirical
studies have worked around this problem by
relying on proxies of a player’s added value1
(Adegbesan & Higgins, 2011; Chatain, 2011; Jia,
Shi, & Wang, 2012; Obloj & Capron, 2011) and
bargaining abilities (Bennett, 2013). These studies
nd patterns consistent with value-based theory,
but still fall short of estimating parameters of the
theoretical models that generated the empirical
predictions.
We argue that to fully exploit the richness of
value-based theoretical models, empirical estima-
tion can move beyond corroborating implications
of the models to estimating the parameters of the
underlying models. Further, researchers equipped
with parameter estimates could use the formal mod-
els to provide quantitative answers about conse-
quences of strategic actions, such as: What are the
returns to improving value creation capabilities?
What would happen if a new player entered the
competitive interaction? What change in the com-
petitive environment would most benet or threaten
a given rm? To reach this goal, scholars need an
empirical toolbox that incorporates the assumptions
of the value-based theory and provides estimates
consistent with it.
By developing such a toolbox, this article’saim is
to put the empirical development of the value-based
framework (Brandenburger & Stuart, 1996, 2007;
MacDonald & Ryall, 2004) on a par with its theo-
retical base. Its main contribution is to propose and
demonstrate an estimation method derived from
the rst principles of the value-based framework
due to Brandenburger and Stuart (1996, 2007) that
yields estimates consistent with the assumption
of competitive behavior, instead of taking existing
econometric methods and imperfectly mapping the
value-based framework onto them. The method
was originally developed for cooperative game
theory models known as matching games (Fox,
2008, 2010), and has been recently applied in the
strategic management literature to study alliances
1In the value-based framework, both added valueand bargaining
ability matter to value capture. The added value of a player is
the value that would be lost if the player withdraws from the
interaction (Brandenburger & Stuart, 1996). Residual bargaining
ability (Brandenburger & Stuart, 2007) is a player’s ability to
capture value when competition leaves a range of value to be
negotiated between rms.
(Mindruta, 2013; Mindruta, Moeen, & Agarwal,
2016) while also nding notable applications in
marketing (Yang, Shi, & Goldfarb, 2009) and
corporate nance (Akkus, Cookson, & Hortaçsu,
2016). We illustrate howit can be further developed
to estimate value creation in formal models based
on biform games and show how empirical estimates
can be leveraged in a model of value capture. This
approach is practicable with data that is typically
available to strategy researchers, allowing for a
wide scope of potential applications.
In the application we describe here, this approach
provides deeper insights on the nature of benets
of client-specic scope extensions in a setting
where prior studies have suggested their impor-
tance. Earlier work (Chatain, 2011) speculated
that client-specic economies of scope were
largely due to increased value creation occurring
from better coordination across tasks. This article
advances on Chatain (2011) by using data at
a ner level of analysis (supplier– buyer– task
nested in supplier– buyer ties), accounting for the
endogeneity of the observed matching thanks to
the improved method, and adding more exibly
to the identication of the effect of client-specic
scope. The estimates allow for disentangling the
relative importance of different mechanisms that
can explain seemingly similar patterns in the data.
We observe that the positive correlation between
client-specic scope and value capture found
by Chatain (2011) is the result of the interplay
between two opposite forces: the leveraging of
costly-to-create relationships, which favors wider
scope, and a net cost of extending the scope of
existing ties, which favors narrower scope. We nd
that the benets of a client-specic scope extension
are due to the high cost of creating a relationship in
the rst place rather than direct synergies between
tasks. Such a ne-grained difference in ndings and
interpretation could only be brought about because
of our use of a more theoretically consistent
method.
The article is organized as follows: In the next
section, we argue the advantages of tightly inte-
grating theory and empirical work for value-based
empirical studies. We then use an example to
explain the principles on which our proposed
method is based. Finally, we apply the method
to the study of value creation in buyer–supplier
relationships and illustrate how several questions
of interest to strategy scholars can be answered
with this approach.
Copyright © 2017 John Wiley & Sons, Ltd. Strat. Mgmt. J.,38: 1964–1985 (2017)
DOI: 10.1002/smj

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