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we found 198 realized combinations, of which most (138, or 70 %) were nonrecur-
ring. Most (41) of the sustainable links were repeated only once, and the maximum
number of link repetitions was 6. Unlike the findings reported by Gulati (1995) and
Gulati and Gargiulo (1999), who found stability in link formation, our first findings
suggest that firms are inclined to change partners regularly rather than repeat col-
laboration with the same partner. Our findings complement the results by Wuyts
et al. (2005) and Cantner and Graf (2006), which support the contention that the
search for diversity of knowledge sources tends to lead firms to switch their R&D
partners.
Estimation Results
Table 16.3 shows the bilateral correlations between the variables included in the
estimations. With regard to correlations between the explanatory variables, we do
not seem to have a severe problem of colinearity. With respect to the correlation
between the explanatory variables and the dependent variable (Coop), we find that
RelOverlap, TransKnowledge, CoopExp, DyadSingle-PAT5, DyadCoopPAT5, and
DStatus have a weak positive correlation with cooperation, whereas ReciPOT,
DCentrality, and DPatAge are negatively correlated.
To deepen our understanding of the forces that determine the partner choice, we
ran a random-effects logistic regression on our panel data. Table 16.4 shows the
outcome of our estimations for seven model variations. The results for the base
model, which comprises the two control variables, DStatus and DPatAge, are shown
in the last column. We found that DStatus was highly significant and positively cor-
related to the probability to cooperate (Coop), indicating that firms prefer to cooper-
ate with partners that are of a different organizational form.
Concerning the dynamics of cognitive proximity, we analyzed three dimensions:
overlap (RelOverlap), reciprocal potential, and knowledge transfer. First, we found
1 2 3 4 5
Number of Partners
6 7 12 17
Fig. 16.3 Diversity of the partner portfolio among firms in the sample (Design by authors)
U. Cantner et al.
zurück zum
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