On Theory in Supply Chain Uncertainty and its Implications for Supply Chain Integration

Date01 July 2016
Published date01 July 2016
DOIhttp://doi.org/10.1111/jscm.12106
ON THEORY IN SUPPLY CHAIN UNCERTAINTY AND ITS
IMPLICATIONS FOR SUPPLY CHAIN INTEGRATION
BARBARA B. FLYNN
Indiana University
XENOPHON KOUFTEROS
Texas A&M University
GUANYI LU
Oregon State University
This article develops a theoretical conceptualization of supply chain
uncertainty, based on the foundation provided by contingency theory,
classical organization theory, and information processing theory. We
develop a theoretical analogy between a supply chain and an organiza-
tion, then highlight key differences, which leads us to hypothesize that
there are three key types of supply chain uncertainty. Micro-level uncer-
tainty is based on the variability of inputs to the technical core of a sup-
ply chain, corresponding to the traditional operationalization of
uncertainty in the supply chain and operations management literature.
Meso-level uncertainty is the lack of information needed by a supply chain
member, corresponding to the information processing theory perspective.
This is often due to the conflicting pressures of differentiation and inter-
dependence in a supply chain, where members may withhold information
that they feel could compromise their interests. Macro-level uncertainty,
based on the equivocality construct, is related to unclear and ambiguous
situations faced by supply chain members in rapidly changing external
environments. We propose that all three types of uncertainty coexist in a
supply chain and may interact with each other. Based on contingency the-
orys focus on alignment of process and structure with the environment,
we test the relationship among supply chain integration (process), central-
ization, formalization and flatness (organization structure) and the
dimensions of uncertainty (environment). Hypotheses are tested using
hierarchical regression on data collected from 339 globally distributed
manufacturing plants. It reveals that, as hypothesized, micro-level and
meso-level uncertainty are positively related to SCI and that macro-level
uncertainty is inversely related to it. The organization structure variables
of centralization and formalization had a moderating effect, strengthening
or reducing the main effects of uncertainty. The results are discussed in
terms of their consistency with the theoretical foundation, implications
for decision makers facing supply chain uncertainty and future research
opportunities.
Keywords: uncertainty; supply chain integration; information processing theory;
contingency theory; organization theory; factor analysis; hierarchical regression analysis
July 2016 3
INTRODUCTION
Uncertainty is ubiquitous in supply chains. Some
originates under a supply chain member’s own roof,
due to interfunctional inconsistencies in material qual-
ity levels or delivery dates, and external sources of
uncertainty relate to variability in the quality and tim-
ing of incoming materials or in the quantities cus-
tomers demand. A member of a supply chain also faces
uncertainty when it lacks information that it needs
from its customers and suppliers, because they with-
hold information they feel is not in their best interest
to share. As it enters new markets, faces competitive tur-
bulence, or is surprised by a low probability-high
impact event, such as a natural disaster, a supply chain
member may also find that some uncertainty is so inor-
dinate that its decision makers do not have an appro-
priate behavioral response residing in their repertoire
and struggle with even conceptualizing what the right
questions to ask are. In essence, uncertainty can mani-
fest itself in different forms, including variability, lack
of information and or ambiguity.
Although uncertainty has been widely studied in the
organization theory literature, beginning with the semi-
nal work of Thompson (1967), it has only recently
become a subject of empirical inquiry in the context of
supply chain management (e.g., Bode et al., 2011; Hult
et al., 2010). Though the organizational theory litera-
ture acknowledges that it can assume different forms,
uncertainty has been largely defined as variability, in
the supply chain management literature (Fredendall &
Melnyk, 1995; Germain et al., 2008). Supply chain
uncertainty can exist at multiple levels, including indi-
vidual decision makers, functional departments, orga-
nizations and ultimately, supply chains (Carter et al.,
2015a). Furthermore, supply chain integration is some-
times prescribed as a response to uncertainty, without
accounting for the differing demands engendered by
different forms of uncertainty. Consequently, our
understanding of uncertainty in the domain of supply
chain management is still incomplete and some con-
flicting results remain unexplained. We attempt to shed
light in two ways. First, we view supply chains through
the lens of Thompson’s (1967) conception of organiza-
tions, adding several key ways in which supply chains
depart from it. Second, we synthesize the supply chain
management and organization theory literatures to pro-
pose three different types of supply chain uncertainty,
based on complexity and dynamism. Micro-level uncer-
tainty deals with information that is predictable within
a distribution, such as variability of customer demand.
Meso-level uncertainty focuses on the need for infor-
mation that is unavailable, while macro-level uncer-
tainty exists in ambiguous, ill-structured contexts,
where decision makers cannot even formulate appro-
priate questions to ask.
Building on contingency theory’s contention that an
organization’s processes should align with its environ-
ment, we examine supply chain integration (SCI) as a
response to uncertainty. SCI is characterized by both
interorganizational information flows and rich infor-
mal information sharing mechanisms that help sup-
ply chain members cope with uncertainty. We
specifically examine the association of internal, cus-
tomer and supplier integration with micro-level,
meso-level and macro-level uncertainty. Because sup-
ply chain members simultaneously experience a com-
bination of all three types of uncertainty, we also
examine whether their interaction explains differing
levels of SCI.
However, the effects of uncertainty do not exist in iso-
lation. When a supply chain member faces uncertainty,
its reliance on SCI may be lessened or amplified
depending on its organization structure, consistent
with contingency theory’s focus on the fit between
structure, processes and environment. Centralization,
formalization, and flatness may interact with types of
uncertainty, such that they support or hinder SCI. We
examine the alignment between types of uncertainty
and organization structure with SCI, using survey data
from 339 globally distributed manufacturing plants.
Our findings contribute to the uncertainty literature
by extending it to a supply chain context as three dis-
tinct types, providing a foundation for alignment of
processes with different types of uncertainty. It con-
tributes to the SCI literature via linking it with the orga-
nization theory and organizational communications
literature (Lengel & Daft, 1988). We begin by dis-
cussing the organizational theory literature as it relates
to organizations and uncertainty. We discuss SCI as a
response to some types of uncertainty, subject to orga-
nization structure. Hypotheses are tested using hierar-
chical regression, and the findings are interpreted in
light of theoretical and managerial implications.
LITERATURE REVIEW
Supply Chain as an Organization
We build on classic organization theory concepts
that are suited to describing supply chains, while
highlighting unique features of supply chains that
lead to challenges associated with supply chain uncer-
tainty. A complex organization, which we henceforth
refer to as an “organization,” is a set of interdepen-
dent elements that comprise a whole, which each
contributes something to and receives something
from, in return. The whole is interdependent with its
environment, both contributing to it and receiving
from it. Its elements, such as functional departments,
are dedicated to specialized tasks (Tushman & Nadler,
1978), determined through evolutionary processes.
Volume 52, Number 3
Journal of Supply Chain Management
4

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