Determining Factors in Innovation of Small Firm Networks: A case of Cross Industry Groups in Japan
By Nobuya Fukugawa. 2006
141 citations recorded by the source corpus.
Subfields: Management of Technology and Innovation, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/885204abafcd6bb6b61a2e8aa3c57ae5b9d4a2ec
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management of Technology and Innovation
- Jeroen de Jong
- N. Zahoor
- Omar Al‐Tabbaa
- Martie-Louise Verreynne
- T. Kastelle
- Hiroyuki Okamuro
- Mark Freel
- Sarel Gronum
In Strategy and Management
- Jeroen de Jong
- N. Zahoor
- Omar Al‐Tabbaa
- Martie-Louise Verreynne
- T. Kastelle
- Hiroyuki Okamuro
- Mark Freel
- Sarel Gronum
Citations in the corpus
- Absorptive capacity and the reach of collaboration in high technology small firms (2010, background): “Certainly, there is plenty of empirical evidence to support the importance of involvement in networks for innovation in small firms – from the classic accounts of the new industrial districts of the Third Italy (e.g. Becattini, 1978) to more recent empirical studies (e.g. Fukugawa, 2006).”
- Inter-organizational collaboration and SMEs’ innovation: A systematic review and future research directions (2020, background): “Similarly, Fukugawa (2006) discovered that the relationship between strength of ties and innovation performance is moderated by industrial characteristics; strong ties are beneficial for innovation performance in exploitative industries (like the steel industry), and weak ties are complementary to…”
- Determinants of successful R&D cooperation in Japanese small businesses: The impact of organizational and contractual characteristics (2007, background): “%) obtain some outcome from the cooperative R&D.”
- The Role of Networks in Small and Medium‐Sized Enterprise Innovation and Firm Performance (2012, methodology): “In addressing this issue, researchers employed a contingency or dynamic perspective to identify optimal network structures at various stages of the innovation process (Fukugawa 2006; Kleinbaum and Tushman 2007; Pirolo and Presutti 2010).”