Do Supply Chain Exemplars Have More or Less Dependent Suppliers?

AuthorMatthew A. Schwieterman,A. Michael Knemeyer,Keely L. Croxton,Jason Miller
Published date01 June 2020
DOIhttp://doi.org/10.1111/jbl.12249
Date01 June 2020
Do Supply Chain Exemplars Have More or Less Dependent
Suppliers?
Matthew A. Schwieterman
1
, Jason Miller
2
, A. Michael Knemeyer
3
, and
Keely L. Croxton
3
1
Miami University
2
Michigan State University
3
The Ohio State University
Extant literature offers differing perspectives regarding whether buying rms benet from having highly dependent suppliers. One view is
that buyers benet from having dependent suppliers as this provides buyers the ability to dictate terms in the relationship. An alternative
perspective is that buyers are worse off from having dependent suppliers in that this dependence can lead to conditions that harm value creation.
In this manuscript, supply chain management theory is extended by evaluating these differing predictions. This is accomplished by analyzing a
database from Bloomberg of objective, secondary data for more than 3,000 supplier relationships for 49 rms independently recognized as pos-
sessing exemplar supply chains and 530 of these rmslargest industry rivals based on GICS industry codes. These data are utilized to develop
a portfolio-level measure of buyersupplier dependence that incorporates the bilateral nature of dependence. The ndings indicate that, relative
to their industry rivals, rms with exemplar supply chains have suppliers with a lower level of dependency. These results contribute to theory,
inform management practice, and suggest avenues for future research.
Keywords: dependence; buyersupplier relationships; industrial organization economics; relational view
INTRODUCTION
Dependence is one of the most fundamental aspects of buyer
supplier relationships (Pfeffer and Salancik 2003; Lanier et al.
2010) and interorganizational relationships in general (Oliver
1990; Pfeffer and Salancik 2003). The bargaining power of sup-
pliers associated with dependence is captured as an element in
Porters Five Forces model (Porter 1980), and the existence of
dependence impacts a rms ability to create and capture value
from its supply base (Crook and Combs 2007; Kim and Hender-
son 2015). In general, scholars conceptualize dependence as a
relative concept, such as Emersons (1962) classic view that
dependence is a ratio of each partys importance to the other.
Viewing dependence as a relative concept is warranted in that it
captures that one rms dependence on another is not a property
of a rm itself, but rather arises from the nature of a rms
exchanges (Thompson 2003). Furthermore, this view aligns with
theoretical arguments that for the dependence between two
organizations to provide one organization with power over the
other, there must be asymmetry in the exchange relation-
ship...Without asymmetry in the exchange relationship neither
organization possesses a particular power advantage(Pfeffer
and Salancik 2003, p. 53).
Despite the omnipresence of dependence, there are conicting
theoretical perspectives regarding how buyers should manage
supplier dependence. One school of thought, rooted in the indus-
trial organization (IO) economics literature (Adelman 1949; Por-
ter 1974; Galbraith and Stiles 1983), proposes that buyers should
have suppliers who are dependent upon them in order to have
the ability to inuence suppliersoperations. An alternative
school of thought, rooted in the relational research tradition,
including the relational view of the rm (RVF) (Dyer and Singh
1998), suggests buyers may not desire highly dependent suppli-
ers. This might be because buyers are likely to pressure highly
dependent suppliers such that value creation is so severely
harmed that buyers, ultimately, capture less value from these
relationships (Buchanan 1992; Gundlach and Cadotte 1994;
Kumar et al. 1995; Gulati and Sytch 2007), or because buyers
do not want to feel disproportionately responsible for the sup-
pliersnancial health.
To ensure these competing views represent a choice that sup-
ply chain managers face in practice, and are not just present in
academic theory, informal interviews were held with several
managers to gauge their views on this issue. Specically, the
managers were asked whether they look to develop relationships
with suppliers that will be dependent on them, or do they strive
for more balanced relationships? One of the managers, with over
30 years of experience in sourcing, had seen both approaches
implemented during his career. In one case, he tried to avoid
allocating business to a supplier for whom he felt his company
would represent too large a portion of their business. It was not
that he was afraid this small company could not handle the busi-
ness, but instead the issue was that he did not want the suppliers
overall success to be so tied to his company. He said, I knew
we were too big of a part of their business.To avoid this situa-
tion, he sought out more balanced relationships. In another case,
this same manager worked on the supply side, selling product to
a dominant customer. Approximately 45% of his companys rev-
enue came from this customer. The customer used this depen-
dence to extract price concessions. The managers company
ended up with no prot on the business yet felt like they had no
choice but to stay in the relationship. In his words, They knew
they had us, and they took advantage of us.
Corresponding author:
Keely L. Croxton, Department of Marketing and Logistics, The Ohio
State University, 2100 Neil Ave., Room 560A, Columbus, OH
43210, USA; E-mail: croxton.4@osu.edu
Journal of Business Logistics, 2020, 41(2): 149173 doi: 10.1111/jbl.12249
© 2020 Council of Supply Chain Management Professionals
This manuscript seeks to extend the understanding of how
supply chain exemplars manage their portfolios of key supplier
relationships by answering the question: Do rms that are inde-
pendently recognized as having exemplary supply chains form
supplier portfolios that display different dependence characteris-
tics than their rivals? Addressing this question provides a rst
step in reconciling these alternative viewpoints, which aligns
with Chamberlins (1965) research methodology of testing multi-
ple competing hypotheses, an approach that has been used in
SCM research (Miller et al. 2017). Additionally, answering
descriptive questions in this manner has a long tradition in
science (Heiman 2002) and is especially appropriate when schol-
ars have available a set of subjects considered as exemplars
within a given domain. For the current study, exemplars are
organizations that are independently recognized as managing
highly competent supply chains. Identifying how exemplars dif-
fer from peers provides valuable information to managers trying
to understand sources of competitive advantage (Henderson et al.
2012). Focusing attention on exemplar rms is warranted in that
these rms are highly competent (Pagell and Wu 2009) and
serve as reference targets(Giachetti and Lampel 2010) that
other rms seek to emulate (Melnyk et al. 2013). SCM scholars
have previously investigated the behavior of exemplar rms, with
Pagell and Wu (2009) providing an example.
Following precedent of past research (Ellinger et al. 2011), sup-
ply chain exemplars were identied in the current study using the
publically available rankings presented by Gartner, one of the lar-
gest supply chain consulting organizations. The Gartner list has
established itself as the preeminent ranking system for supply
chain competency (Ellinger et al. 2011). Using the Gartner list and
data from the Bloomberg Corporation, each supply chain exemplar
and up to fteen of its largest rivals (as identied by Bloomberg)
were identied. Data were then extracted for each rms most
important suppliers, based on the percentage of each buying rms
cost of goods sold (COGS) the suppliers represent. Our sample
comprises data from 3,008 unique buyersupplier relationships.
Testing using appropriate econometric techniques indicates the
supply chain exemplars have suppliers who exhibit symmetrical
dependence with them vis-
a-vis rivalssuppliers. This nding runs
contrary to standard theorizing in industrial organization (IO) eco-
nomics, but is consistent with arguments from the relational
research tradition that includes (RVF) (Dyer and Singh 1998). Fur-
ther analyses indicate this stems from rms with supply chain
exemplars doing business with larger suppliers and purchasing a
higher percentage of their COGS from their key suppliers.
The remainder of this paper is organized as follows. The next
section describes the literature relevant to the investigation and
summarizes how the current work builds upon these studies. The
third section contains the theory and hypothesis development.
The fourth section details the data collection methodology and
presents results from the econometric modeling. The nal section
describes theoretical and managerial contributions, highlights
limitations, and offers suggestions for future research.
LITERATURE REVIEW
Given the central role that dependence plays in buyersupplier
relationships, it has drawn the interest of scholars from a wide
variety of backgrounds including accounting (Gosman et al.
2004; Gosman and Kohlbeck 2009; Patatoukas 2012), economics
(Lustgarten 1975; LaFrance 1979; Ravenscraft 1983; Kelly and
Gosman 2000; Ellison and Snyder 2010), marketing (Frazier
1983; Kalwani and Narayandas 1995; Bloom and Perry 2001),
strategic management (Galbraith and Stiles 1983; Cool and Hen-
derson 1998; Gulati and Sytch 2007), and supply chain manage-
ment (Benton and Maloni 2005; Lanier et al. 2010; Kim and
Henderson 2015). Moreover, dependence has been an important
part of the literature on interrm relationships for several decades
(Hillman et al. 2009). While the primary focus of this research is
on dependence, the literature on interrm power, where depen-
dence creates the conditions by which one party can inuence
anothers behavior, is also incorporated.
In general, the preferred means through which scholars have
studied dependence in buyersupplier relationships has been
through the use of surveys (Heide and John 1988; Heide and
John 1990; Heide 1994; Brown et al. 1996; Benton and Maloni
2005; Petersen et al. 2008; Terpend and Ashenbaum 2012; Pulles
et al. 2014; Terpend and Krause 2015). In contrast, fewer studies
have examined dependence issues, particularly at the rm level,
using secondary data sources to obtain proxies for dependence.
Utilizing archival data as a medium to investigate issues of
dependence provides a way to complement extant survey-based
research by permitting the examination of a larger number of
relationships than is typically feasible with surveys. Moreover,
archival data sources allow for the development of portfolio-level
measures of dependence that provide a more holistic picture of a
rms dependence vis-
a-vis examining dependence within a sin-
gle dyad (Schwieterman et al. 2017). In order to outline where
this research contributes to the literature, we detail the extant
research on dependence that utilizes archival data in Table 1.
Several observations can be made from Table 1. First, the vast
majority of these studies have investigated how supplier depen-
dence affects supplier nancial performance (Kalwani and
Narayandas 1995; Balakrishnan et al. 1996; Kelly and Gosman
2000; Gosman and Kohlbeck 2009). In contrast, few scholars
have examined whether buyers experience different outcomes
based on varying levels of supplier dependence (Galbraith and
Stiles 1983; Kim and Henderson 2015). Second, most scholars
have operationalized dependence using one-sided measures cap-
turing concentration of sales to one or more large customers. For
example, a suppliers dependence on a buyer has been measured
as a function of the percentage of a suppliers revenue that the
buyer represents (Kalwani and Narayandas 1995; Kelly and Gos-
man 2000; Gosman and Kohlbeck 2009). Similarly, a buyers
dependence on a supplier or group of suppliers is assumed to be
a function of the percentage of the buyers COGS acquired from
the supplier or group of suppliers (Galbraith and Stiles 1983;
Ravenscraft 1983; Kim and Henderson 2015; Elking et al. 2017).
The use of these single-sided measures is understandable given
that data have traditionally been limited to customer relationships
that fall within SFAS 14 disclosure requirements that all publicly
traded rms disclose any customers that represent 10% or greater
of the rms revenues. However, single-sided measures are a
limitation given that dependence has been conceptualized as a
function of both partiesreliance on one another (Emerson 1962;
Pfeffer and Salancik 2003). Consider a hypothetical example
where a supplier has large magnitude relationships with two
150 M.A. Schwieterman et al.

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT