Cross‐Functional Influence and the Supplier Selection Decision in Competitive Environments: Who Makes the Call?

DOIhttp://doi.org/10.1111/jbl.12199
Published date01 June 2019
AuthorBarry Brewer,Cynthia Wallin Blair,Bryan Ashenbaum
Date01 June 2019
Cross-Functional Inuence and the Supplier Selection Decision in
Competitive Environments: Who Makes the Call?
Barry Brewer
1
, Bryan Ashenbaum
2
, and Cynthia Wallin Blair
3
1
University of Wyoming
2
Miami University
3
Brigham Young University
This paper presents the results of a multiple-case study that examines how procurement and engineering personnel share priorities, have a
common vision, and inuence the supplier selection decision in competitive environments of varying risk and uncertainty. We interviewed
113 procurement and engineering respondents from 26 different companies/business units across up-, mid-, and downstream segments of the oil
and gas industry. Following a middle-range theorizing approach, we develop a series of working propositions and theoretical frameworks, utiliz-
ing goal congruence theory to sharpen proposition development and create suggested extensions for theory. In general, we nd that engineering
personnel tend to dominate cross-functional decision making in higher risk environments and that more equal arrangements exist when both risk
and uncertainty are low. When competitive environment risk is low but uncertainty is high, considerable disagreement arises over which func-
tion leadsthis decision. Higher risk environments drive higher goal congruence through shared vision and consensus on who makes supplier
selection decisions.
Keywords: procurement; engineering; supplier selection; competitive environment; goal congruence; mid-range theorizing
INTRODUCTION AND LITERATURE REVIEW
Supplier selection is among the most important of rm decisions.
Good suppliers can enhance your bottom line; bad ones can cost
you money, customers, or even your business. For this reason,
this decision is often multifunctional in nature, involving both
engineering personnel, who bring technical expertise to the table,
and procurement personnel, who provide commercial knowledge
such as procurement best practices, contract particulars, and sup-
ply market expertise.
1
Yet little is known about the nature of
how personnel in procurement and engineering functions work
together to make supplier selection decisions (Zimmermann and
Foerstl 2014). Our purpose in this study is to address this gap in
the research by examining how professionals in purchasing and
engineering functions inuence supplier selection decisions
within the context of varying competitive business environments.
The supplier selection literature is largely silent on the role
multiple functions within a rm play in the selection of suppli-
ers, focusing instead on topics such as the prioritization of selec-
tion criteria (e.g., price, delivery, exibility, quality), single vs.
multisourcing, relationship factors, and the companys position in
the supply chain (e.g., Choi and Hartley 1996; Verma and Pull-
man 1998; Ho et al. 2010). There is also extensive research on
the decision-making methods, tools, and techniques (e.g., arti-
cial intelligence, mathematical modeling, and analytical hierarchy
processing) used in the supplier selection process (de Boer et al.
2001; Dulmin and Mininno 2003; Ho et al. 2010; Wu and Bar-
nes 2011; Chai et al. 2013). While there is extensive literature
examining cross-functional integration, it tends to focus on per-
formance outcomes and on decision-making processes (e.g.,
NPD) not related to supplier selection. Literature reviews of sup-
plier selection research have recognized this gap, noting the lack
of research outside the nal selection phase, and have issued
calls for research on the earlier phases of supplier selection when
the needs of various stakeholders must be considered (de Boer
et al. 2001; Ho et al. 2010; Wu and Barnes 2011). Wu and Bar-
nes (2011) suggest future research overcome this gap through
multidisciplinary research and descriptive empirical studies.
As supplier selection decisions are externally focused, they are
often strongly affected by the competitive business environment.
In particular, competitive environments that are hostilecan add
great difculty and complexity to decision-making processes
(Bstieler 2005; Kach et al. 2016). Hostile environments are those
characterized by shrinking markets, high levels of regulation,
intense competition, limited resources (including labor and raw
materials), signicant and frequent economic swings, and high
levels of uncertainty (Miller and Friesen 1983; Calantone et al.
1997; Gonz
alez-Benito et al. 2010; Kach et al. 2016; Kim and
Kim 2016). A rich stream of research has investigated the
impacts of competitive environments on rm and functional
strategies and actions, particular production and innovation areas
(see, e.g., Sabherwal and King 1992; Ward et al. 1995; Calan-
tone et al. 1997; Amoako-Gyampah and Boye 2001; Koufteros
et al. 2005; Das and Joshi 2012). Still lacking is research specic
to the link between the external environment and procurement
activities, despite the potential prot impact of a rms procure-
ment strategies (Ward et al. 1995; Ward and Duray 2000;
Gonz
alez-Benito et al. 2010).
The motivation for this study is thus driven by the apparent
void at the nexus of these research areas: the inuence of multi-
ple functions on the supplier selection decision, and decision
making in the context of hostile environments. Put specically,
Corresponding author:
Barry Brewer, College of Business, University of Wyoming, 1000
E. University Ave., Laramie, WY 82070, USA; E-mail: bbrewer4@
uwyo.edu
1
This paper uses the term procurement for ease of ow and
readability; we assume it is largely synonymous with other terms
for this function, such as purchasing or strategic sourcing.
Journal of Business Logistics, 2019, 40(2): 105125 doi: 10.1111/jbl.12199
© 2019 Council of Supply Chain Management Professionals
supplier selection, a process of considerable interest to scholars
and managers alike, occurs within environments of varying hos-
tility and is dependent upon input from engineering and procure-
ment. Posed as research questions:
1. To what extent is the supplier selection decision truly multi-
functional between procurement and engineering?
2. Which function tends to drive the nal decision and why?
3. What impact does the competitive business environment have
on procurementengineering interactions in the context of
supplier selection decision making?
In light of the scarcity of research specic to this area and
given the relatively open-ended nature of our research ques-
tions, we chose a multiple-case study approach, detailing our
methodology in the next section of the paper (Yin 2014). We
have followed a middle-range theorizing (MRT) approach, in
which an extant theory is used to rene the patterns emerging
from data analysis (Craighead et al. 2016). Specically, we use
goal congruence theory (Witt 1998; Kristof-Brown and Stevens
2001) to help shape the research propositions arising from the
within-case descriptions and cross-case analysis in the ndings
and discussion section. The paper concludes with a summary
discussing the contributions, limitations, and directions for
future research.
METHODOLOGY
Case study approach and industry focused sample (oil and gas)
Most previous efforts to understand cross-functional efforts fol-
low a survey-based, hypothesis-testing approach (Pagell 2004, a
case study, is a notable exception). This study takes a case study
approach, following the method espoused by Yin (2014).
Although the data were collected in a cross-sectional manner,
something of a longitudinal perspective was achieved as respon-
dents provided their assessments of the timing of events and, to
some extent, the cause-and-effect drivers in various situational
contexts (Guide and Ketokivi 2015).
We chose the procurementengineering supplier selection deci-
sion as our unit of analysis and focused this study within the oil
and gas (O&G) industry, which lies in the broader energy sector.
The energy sector contains a high variety of rm types and value
chains, spanning many different business environments. A focus
on O&G rms thus makes sense for the following reasons:
1. O&G companies buy highly technical goods and services, so
supplier selection depends on input from both engineering for
technical expertise and procurement personnel for negotiation
of business conditions. O&G companies are heavily out-
sourcedin their operations, so supplier selection decisions
are fundamental to operational success.
2. The O&G supply chain runs from upstreamdrillers and
operators of wells, to midstreamcollection facilities and
pipeline operators, to downstreamrenery operators
and utilities (see Figure 1). These differing business environ-
ments are characterized by varying external pressures, such as
the rate of technology change, economic cycle volatility,
degree of government regulation, and national/local political
pressure. These different environments should provide rich
and varied contexts for examining our research questions.
3. The focus on a single economic sector provides the embedded
context for a MRT approach. MRT focuses on concepts and
predictions specictoafocal domainsuch as an industry
or functional area of business practice (Stank et al. 2017).
Sampling approach
We conducted an embedded, multiple-case study, interviewing mul-
tiple informants from both functions from a wide variety of rms
within our target industry. Our approach employed a theoretical
sampling method for respondent rm selection (Eisenhardt 1989;
Miles and Huberman 1994).The nal sample of 26 rms/SBUs was
drawn from up-, mid-, and downstream environments, including
both oil companies and gas companies with diverse characteristics
Figure 1: Oil and gas supply chain and sample companies.
106 B. Brewer et al.

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