The influence of supply chain integration on operational performance. A comparison between product and service supply chains

Pages444-463
Date08 May 2017
DOIhttps://doi.org/10.1108/IJLM-12-2015-0241
Published date08 May 2017
AuthorKum Fai Yuen,Vinh Van Thai
Subject MatterManagement science & operations,Logistics
The influence of supply chain
integration on operational
performance
A comparison between product and service
supply chains
Kum Fai Yuen
School of Civil and Environmental Engineering,
Nanyang Technological University, Singapore, Singapore, and
Vinh Van Thai
School of Business IT and Logistics, RMIT University, Melbourne, Australia
Abstract
Purpose An implicit assumption of current supply chain integration (SCI) research is that the results
obtained from product supply chains can be directly extrapolated to service supply chains. The purpose of
this paper is to question this assumption of equivalence by proposing that the effects of internal integration
(II) and external integration (EI) on operational performance (OP) arecontingent on whether a firm operates in
a product and service supply chain.
Design/methodology/approach Drawing on the contingency theory, a model that specifies and contrasts
the interrelationships between II, EI, and OP in product and service supply chains was proposed.
Subsequently, measures were developed and survey data were collected from 138 product and 174 service
companies in Singapore. The data were then analysed using multi-sampling analysis.
Findings The effects of II and EI on OP varied significantly between product and service supply chains.
In addition, the relationship between II and OP was found to be partially mediated by EI in product supply
chains whereas a fully mediated relationship was observed in service supply chains.
Research limitations/implications Within the context of SCI, different mediation patterns exist in
product and service supply chains. The results suggest adopting a contingency rather than a universalistic
approach in the management of firmsinternal and external integrative capabilities to maximise OP.
Specifically, managers should adjust their II and EI efforts to achieve congruency with the type of supply
chain they serve.
Originality/value This paper tests the assumption of equivalence and extends the current scope of SCI
contingency research by cross-examining the effects of II and EI on OP in both product and service supply
chains simultaneously.
Keywords Contingency theory, Supply chain integration, Operational performance, Product supply chain,
Service supply chain
Paper type Research paper
1. Introduction
Supply chain integration (SCI) has received growing attention among scholars and
practitioners in recent decades (Stank, Keller and Daugherty, 2001; Kim, 2013; Tseng and
Liao, 2015; Yuen and Thai, 2016a). It is defined as the management of various sets of
activities that aims at seamlessly linking relevant business processes within and across
firms, and eliminating duplicate or unnecessary parts of the processes for the purpose of
building a better functioning supply chain(Chen et al., 2009 p. 66). SCI emphasises
connectivity and simplification through the coordination, collaboration, cooperation,
interaction, and elimination of duplicate elements in business processes (Pagell, 2004;
Vickery and Dröge, 2010; Seo et al., 2015). In general, connectivity and simplification of
business processes can be improved or performed internally between departments, and
externally between upstream and downstream partners (Stevens, 1989).
The International Journal of
Logistics Management
Vol. 28 No. 2, 2017
pp. 444-463
© Emerald PublishingLimited
0957-4093
DOI 10.1108/IJLM-12-2015-0241
Received 18 October 2015
Revised 28 December 2015
18 February 2016
19 April 2016
6 May 2016
Accepted 6 May 2016
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0957-4093.htm
444
IJLM
28,2
There is a growing body of evidence indicating that SCI has a positive effect on
operational performance (OP), which includes cost, quality, flexibility, and delivery
outcomes (Flynn et al., 2010; Yuen and Thai, 2016b). A meta-analysis conducted by
Leuschner et al. (2013) revealed that the relationship between SCI and OP is positive.
However, in their study, the authors also cautioned that negative or non-significant results
reported by individual studies are not uncommon, and called for additional research to
explain for this phenomenon. In line with their observation, Zhao et al. (2011) acknowledged
that the sign and magnitude of the linkages between SCI dimensions and OP differ
considerably across studies.
In recent years, there has been a paradigm shift towards adopting a contingency
approach to explain the equivocal relationship between SCI and OP (Wong, Boon-Itt and
Wong, 2011). Contingency theory opposes universalistic theory and holds that the fit
between a firms structure and contextual factors influences performance (Donaldson, 2001).
In rudimentary terms, contingency theory suggests that greater fit results in stronger
performance. Some of the previous SCI-OP studies that have anchored on contingency
theory can be found in the work of Kim (2006) and Wong, Lai and Cheng (2011).
For example, Kim (2006) showed that there is greater fit between SCI and small firms,
suggesting that small firms reap greater operational benefits from integrating their supply
chain. In another study, Wong, Lai and Cheng (2011) showed that the effect of SCI on OP is
augmented by high level of environmental munificence, suggesting that firms operating in
an environment with rich resources and information can achieve greater benefits from
integrating their supply chain.
However, existing supply chain management contingency research has focussed
exclusively on the manufacturing sector despite the increasing contribution of services
towards global economies (Hua, 2013). In the literature, little distinction has been made
with regards to SCI in product and service supply chains, and there is c urrently a lack of
understanding as to whether the results obtained from product supply chains can be
directly extrapolated to service supply chains. In general, the treatment and management
of a service differ fundamentally from a product (Sengupta et al., 2006). One of the
differences is attributed to the characteristics of services which are associated with
heterogeneity, intangibility, perishability, and inseparability (Yuen and Thai, 2015a, b).
As it will be discussed in the literature section, this paper argues that these differences or
contextual factors affect the fit of a firm and subsequently, its OP. This paper posits that
the operational benefits of SCI are contingent on whether a firm operates in a product or
service environment.
A number of contributions to the current literature and practices can be expected from
this study. First, this study simultaneously analyses the effects of internal integration (II)
and external integration (EI) on OP. Not many studies have included II in their analyses
which obscure the definition and true effect of SCI. Second, this study introduces and
extends contingency theory in SCI-OP research by cross-examining the operational
contributions of II and EI in both product and service supply chains. Through this
examination, it addresses the question of equivalence, that is, to what extent the conceptual
meaning and magnitude of the relationships between II, EI, and OP differ between product
and service supply chains. Finally, the compartmentalisation of results into service and
product categories will offer differentiated strategies for managers to adjust their II and EI
efforts according to the types of supply chain they serve.
The remaining parts of this paper areorganised as follow. First, the concept of SCI and its
impact on OP are reviewed. Thereafter, a brief overview of contingency theory is provided
and its efficacy in reconciling mixed SCI-OP results is reviewed. Subsequently, the
contingency effects of supply chain type on the relationship between SCI and OP are
discussed and hypothesised. For the purposeof this study, supply chain type is dichotomised
445
Influence of
SCI on OP

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