Investigating the role of knowledge transfer in supply chain collaboration

Pages284-302
Published date11 February 2019
DOIhttps://doi.org/10.1108/IJLM-07-2017-0184
Date11 February 2019
AuthorKimberly Whitehead,Zach Zacharia,Edmund Prater
Subject MatterManagement science & operations,Logistics
Investigating the role of
knowledge transfer in supply
chain collaboration
Kimberly Whitehead
College of Business, Anderson University, Anderson, South Carolina, USA
Zach Zacharia
College of Business and Economics, Lehigh University, Bethlehem,
Pennsylvania, USA, and
Edmund Prater
College of Business, University of Texas at Arlington, Arlington, Texas, USA
Abstract
Purpose Despite the large literature base associated with dyadic collaboration, its knowledge-based
antecedents are still not well understood. The purpose of this paper is to better understand those antecedents
and to explore why the supply chain (SC) literature has found mixed results regarding knowledge transfer
and absorptive capacity in dyadic collaboration research.
Design/methodology/approach The critical incident technique (CIT) was utilized, using qualitative
semi-structured interviews to refine a proposed research model. In total, 43 executives were interviewed each
providing a description of both a successful and an unsuccessful SC dyadic collaboration. The interviews
were analyzed to better understand the knowledge-based antecedents of buyersupplier collaboration.
Findings This study suggests that dyadic collaboration and subsequent outcomes are improved by
successful knowledge transfer. Additionally, knowledge transfer requires both distributive and absorptive
capacities in each participant. The research also uncovered new evidence to support the need for a
collaborative orientation to support successful knowledge transfer.
Research limitations/implications The interviews conducted using the CIT provided a wealth of
information and executive experiences in SC collaboration. However, the interviews only provide a single
perspective of collaborative engagements. Multiple perspectives of each collaboration would add value to
this research.
Originality/value SC collaboration and knowledge transfer have been well studied across disciplines.
This research introduces new knowledge-related variables that can contribute to successful collaboration:
distributive capability and SC collaborative orientation.
Keywords North America, Supply chain integration, Buyer-supplier relationships, Supplier management,
Qualitative interviews
Paper type Research paper
Introduction
Supply chain (SC) collaboration is the cooperative effort of companies within an SC to
leverage their individual abilities into a combined competitive advantage (Soosay and
Hyland, 2015). Because of its ability to create synergy across the SC, this topic continues to
draw management and academic interest (Nix and Zacharia, 2014). SC collaboration is also
described as a business philosophy (Ralston et al., 2017), allowing companies to combine
tangible and intangible assets to meet or exceed their customersexpectations
(Simatupang and Sridharan, 2002) and, as such, becoming a core capability of the SC
(Min et al., 2005). These capabilities and synergy are accomplished, in part through
knowledge-based skills such as sharing information, making joint decisions and sharing
knowledge-based benefits.
However, these knowledge-based skills are not well understood by management
(Fawcett, Fawcett, Watson, and Magnan, 2012; Whitehead et al., 2016) which has led to
mixed results within SC collaboration literature as it relates to absorptive capacity (AC)
The International Journal of
Logistics Management
Vol. 30 No. 1, 2019
pp. 284-302
© Emerald PublishingLimited
0957-4093
DOI 10.1108/IJLM-07-2017-0184
Received 16 July 2017
Revised 22 January 2018
2July2018
20 October 2018
Accepted 24 October 2018
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0957-4093.htm
284
IJLM
30,1
(e.g. Hult et al., 2004; Zacharia et al., 2011; Wagner, 2012; Kauppi et al., 2013; Lee and Song,
2015). Each of these papers used AC as a key knowledge transfer mechanism in their
collaboration models. Yet in each case AC was statistically insignificant and the models
were not fully supported. Further, Roldán Bravo et al. (2016) also found confusing results
when studying AC and innovation. They concluded that AC seems to be used to compensate
for the impact of desorptive capacity(knowledge source ability to share knowledge) on
knowledge transfer and the authors call for the development of scales for desorptive
capacity in future research.
These results are surprising because AC is a well-established construct across disciplines
representing knowledge transfer (Barringer and Harrison, 2000; Zahra and George, 2002).
Clearly there are some researchers who have found AC significant in buyersupplier
relationships such as Azadegan (2011) and Sáenz et al. (2014). However, some questions still
remain as to why other researchers have found problems with AC as a significant construct
in knowledge transfer which will be the focus of the rest of this paper.
This research seeks to understand more about the knowledge-based antecedents of
dyadic SC collaboration and why researchers: (Hult et al., 2004; Zacharia et al., 2011; Wagner,
2012; Kauppi et al., 2013; Lee and Song, 2015), found AC insignificant in their models of SC
collaboration. It is theorized that AC was found insignificant because the models considered
the knowledge-based abilities of only the receiving side of a dyad (Roldán Bravo et al., 2016).
Instead, this research proposes that the knowledge-based abilities in both organizations
should be considered simultaneously in dyadic SC collaboration models. This paper, in
response to prior research mixed results and call for future research (Roldán Bravo et al.,
2016), presents a model of collaboration that incorporates both the abilities of the source of
knowledge, distributive capability (DC) and the recipient of knowledge, AC and proposes
that both of these capacities are necessary requirements for successful knowledge transfer
in SC collaboration.
While knowledge transfer and AC are well studiedintheliterature(Barringerand
Harrison, 2000; Zahra and George, 2002), it is important to acknowledge the potentiality of
information symmetry. It has been shown that beyond knowledge transfer, information
symmetry is important to the successful implementation and use of relational
governmental mechanisms (Eckerd and Sweeney, 2018). If asymmetry is even perceived
it may cause non-reciprocal information exchange (Eckerd and Sweeney, 2018). This may
bepartiallybehindthemixedresultsintheapplicationofabsorptivecapacityinSC
collaboration research.
A qualitative research method, the critical incident technique (CIT) (Flanagan, 1954), was
chosen to explore this phenomena, a proposed new construct (DC) and conceptual model.
Executives from different industries and backgrounds were interviewed using CIT in order
to give new insights into the role of knowledge transfer in SC collaboration. The method
yielded insights into the examined phenomena. Surprisingly the results also include the
identification of a component of SC collaboration not previously theorized: supply chain
collaboration orientation (SCCO) or the recipients preparedness for collaboration. The
outcomes of this research will equip researchers with new constructs which provide a better
understanding into SC collaboration and offers managers new insights into how to plan,
manage and partner for more positive collaborative outcomes.
This paper is organized as follows. A conceptual framework and related propositions are
developed based on a review of the literature. Empirical evidence is then offered to support
the model and propositions from the data gathered through 43 semistructured executive
interviews contributing 86 unique collaboration incidents for analysis. Based on the results
of the interviews, the model is further refined and is presented with a discussion of the
implications of these findings to managers. The paper concludes with a description of
the limitations of this research and suggestions for future research.
285
Role of
knowledge
transfer

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