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same partners always cooperate or whether they switch partners over time.
Increasing trust, experience, and common understanding tend to contribute to the
continuation of the partnership because they increase the efficiency of knowledge
exchange and sharing. Conversely, the declining difference between knowledge
stocks of continuously cooperating partners—that is, an increase in their cognitive
proximity (the degree of similarity of their knowledge bases)—indicates that oppor-
tunities to exchange and share knowledge have been exploited by them and should
therefore lead to partner-switching.
Hence, the relation between certain proximity dimensions and continuation of
collaboration is by no means unidirectional (Ter Wal & Boschma, 2011). In fact,
individual characteristics (e.g., technological capabilities), and thus the proximity to
others, coevolve with continuous collaboration (Balland, Boschma, & Frenken, 2015;
Ter Wal & Boschma, 2011). These dynamics have undergone little empirical analysis
(Balland et al., 2015). Although the coevolution of factors driving collaboration choice
and the evolution of ties can be explored only with a dynamic approach, most of the
studies on the relation between proximity and cooperation have been rather static
(e.g., Cantner & Meder, 2007; Paier & Scherngell, 2011; Wuyts et al., 2005).
In this chapter we want to contribute to the field of dynamic approaches and
analyze the interplay between cognitive proximity, knowledge exchange, and col-
laboration. We focus our analysis on ties within innovator networks defined as an
ensemble of direct and indirect connections, with the direct ones being research
collaborations intended to produce innovations (Cantner & Graf, 2006). Tracking
the individual actors and their collaborations over time, we pursue the following
core research question: To what extent do knowledge dynamics between two coop-
erating actors determine the continuation of their innovative ties? Accordingly, we
concentrate mainly on the dynamics of partners’ cognitive proximity. In addition,
we analyze the other two dimensions, trust and competencies, as further important
covariates.
Our descriptive analysis suggests that firms are generally prone to switching
their cooperation partner rather than to repeating the collaboration with that partner.
We thus find that the knowledge transfer and cooperation that partners have experi-
enced with each other have no significant effect on the likelihood that they will
repeat their cooperation. Our empirical analysis also shows that cooperation is pro-
moted by several factors: an overlap between the firms’ knowledge bases, an uneven
distribution of the reciprocal potential for knowledge exchange, general collabora-
tion experience of the partners, and similarity in the degree of popularity of the
collaboration partners. We also find that firms prefer to cooperate with partners that
are different in organizational nature and age.
We begin by providing a general overview of basic concepts and principle argu-
ments that describe the relation between similarity in knowledge, experience, and
their effect on tie formation. After characterizing how these relations dynamically
coevolve with ongoing collaboration, we present our hypotheses. In the second sec-
tion we explain our methodological approach, including descriptions of the data and
variables. The third section presents the final results and our discussion of them. We
conclude with suggestions for further research. U. Cantner et al.
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Buch Knowledge and Networks"
Knowledge and Networks
- Titel
- Knowledge and Networks
- Autoren
- Johannes Glückler
- Emmanuel Lazega
- Ingmar Hammer
- Verlag
- Springer Open
- Ort
- Cham
- Datum
- 2017
- Sprache
- deutsch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-319-45023-0
- Abmessungen
- 15.5 x 24.1 cm
- Seiten
- 390
- Schlagwörter
- Human Geography, Innovation/Technology Management, Economic Geography, Knowledge, Discourse
- Kategorie
- Technik