Framing and Interorganizational Knowledge Transfer: A Process Study of Collaborative Innovation in the Aircraft Industry

AuthorErik M. Raaij,Hans Berends,Elco Burg
Date01 May 2014
DOIhttp://doi.org/10.1111/joms.12055
Published date01 May 2014
Framing and Interorganizational Knowledge Transfer:
A Process Study of Collaborative Innovation in the
Aircraft Industry
Elco van Burg, Hans Berends and Erik M. van Raaij
VU University Amsterdam; VU University Amsterdam; RSM Erasmus University
ABSTRACT This article explains how and why organizational actors’ decisions about
interorganizational knowledge transfer might change over time. We find that organizational
actors’ framing of future innovation developments, as either an opportunity or a threat,
motivates them to engage or disengage in interorganizational knowledge transfer activities.
Shifts in framing lead organizational actors to leverage their relational context and knowledge
base in new ways, thereby emphasizing the role of agency in drawing upon these structures.
These findings are incorporated into a process model that explains discontinuous change in
interorganizational knowledge transfer.
Keywords: framing, innovation, interorganizational knowledge transfer, process
INTRODUCTION
When organizational actors share and trade knowledge in interorganizational collabo-
rations, they do so because of the benefits of knowledge transfer, such as enhanced
innovativeness (Powell et al., 1996; Van Wijk et al., 2008). But we also know that actors
prevent or reduce knowledge transfer to avoid spillovers of critical know-how (Khanna
et al., 1998; Norman, 2004). A theory of interorganizational knowledge transfer there-
fore needs to explain both decisions of organizations to initiate or intensify as well as
decisions to reduce or terminate knowledge transfer. However, currently we lack proper
understanding of how these decisions can change over time.
In this paper, we develop such an explanation of the dynamics of interorganizational
knowledge transfer over time. Most research into interorganizational knowledge transfer
uses cross-sectional methods to explain the amount of knowledge transfer in a given
partnership (Meier, 2011; Parmigiani and Rivera-Santos, 2011; Van Wijk et al., 2008).
Thus, existing explanations focus mainly on the characteristics of the organizational
Address for reprints: Elco van Burg, Faculty of Economics and Business Administration, VU University
Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands ( j.c.van.burg@vu.nl).
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© 2013 John Wiley & Sons Ltd and Society for the Advancement of Management Studies
Journal of Management Studies 51:3 May 2014
doi: 10.1111/joms.12055
actors engaged in knowledge transfer (e.g., willingness to share, absorptive capacity), the
nature of their relationships (e.g., relationship quality, governance mechanisms), and the
knowledge involved (e.g., tacitness) (Easterby-Smith et al., 2008; Meier, 2011). Yet, these
cross-sectional studies have not traced or explained decisions of organizations to initiate,
intensify, reduce, or terminate knowledge transfer. Understanding such changes over
time is important, especially in the protracted and emergent journey of an innovation
process (Van de Ven et al., 1999), involving multitudinous decisions on knowledge
transfer. Therefore, we address the following research question: How and why do
organizational actors’ decisions about interorganizational knowledge transfer change over time?
To address this question, we undertook a longitudinal study of the development of a
new class of aircraft materials, fibre metal laminates (FML), whose development spanned
more than two decades of knowledge transfer interactions, involving more than 20
organizations. Using a process study (Langley, 1999; Van de Ven, 2007), we investigate
patterns in knowledge transfer over time. The analyses show that decisions to initiate,
intensify, reduce, or terminate knowledge transfer often depend on the framing of future
innovation developments, whether as opportunity or threat. Therefore, we invoke cog-
nitive framing theory to explain actions on the basis of the way managers and organi-
zations make sense of their environment (Dutton and Jackson, 1987; Kaplan, 2011).
In turn, our findings contribute to current theory on knowledge transfer and
cognitive framing in three ways. First, we explain how discontinuous changes in
interorganizational knowledge transfer (i.e., initiating, intensifying, reducing, or termi-
nating knowledge sharing) are shaped by the actors’ future-oriented framing of the
innovation. These frames are both long-term oriented and variable, such that changes in
their framing motivate actors to adjust their interorganizational knowledge transfer
activities. Second, the shifts in framing also lead organizational actors to leverage their
relational context and knowledge base in new ways, thus emphasizing the role of agency
instead of knowledge transfer solely determined by these antecedents. Accordingly, we
clarify the dynamics of interorganizational knowledge transfer by explaining why and
when organizational actors might decide to initiate, intensify, reduce, or terminate their
knowledge transfer interactions with existing and new partners. Third, our findings
extend cognitive framing theory by demonstrating the influence of not only threat and
opportunity frames on decision-making, but also that of unframing opportunities.
THEORETICAL BACKGROUND
Firms need interorganizational connections to gain access to complementary knowledge
resources. Both vertical (buyers and suppliers) and horizontal (competitors or other
partners) collaborations are valuable: customers can help define market needs (Von
Hippel, 1986), suppliers provide long-term access to specialized and complementary
assets (Lipparini et al., in press; Van Echtelt et al., 2008), and competitors offer oppor-
tunities to learn new skills and access to needed assets (Ahuja, 2000; Mowery et al., 1996).
We thus define interorganizational knowledge transfer broadly, as the process by which
organizations exchange knowledge, receive knowledge, and are influenced by the knowl-
edge of others (Easterby-Smith et al., 2008; Phelps et al., 2012; Van Wijk et al., 2008).
E. van Burg et al.350
© 2013 John Wiley & Sons Ltd and Society for the Advancement of Management Studies

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