The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.
Collaborative modes with Cultural and Creative Industries and innovation performance: The moderating role of heterogeneous sources of knowledge and absorptive capacity
Open accessAbstract
Abstract Organizations can no longer be isolated entities in the current dynamic competitive environment but tend to establish alliances and networks with external parties. Recently, research has suggested that organizations develop collaborative modes with Cultural and Creative Industries (CCIs) to acquire and combine Heterogeneous Sources of Knowledge (HSK) within their organizational environment. Innovation thus becomes increasingly generated by a cross-process involving a diverse set of industries. Nevertheless, few studies have assessed how knowledge from distant industries, such as CCIs, can affect firms’ innovation performance. Accordingly, this empirical research on a sample of 187 firms evaluates whether formal and informal collaboration modes with CCIs affect innovation performance. Moreover, it assesses the moderating role of both HSK and absorptive capacity. In particular, it aims to answer the following questions. What are the effects of collaboration modes with CCIs on firms’ innovation performance? What are the differences (in terms of effects) between Formal Collaboration Modes (FCMs) and Informal Collaboration Modes (ICMs) with CCIs on firms’ innovation performance? Do heterogeneity of knowledge sources and absorptive capacity increase the possibility of benefiting from FCMs and ICMs with CCIs in terms of innovation performance? The results contribute to the theory indicating that HSK are important to benefit from knowledge from CCIs, while absorptive capacity does not fulfil the same role.
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Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Absorptive Capacity: A New Perspective on Learning and Innovation
Cohen, W. M., & Levinthal, D. A. (1990) · Administrative Science Quarterly · doi:10.2307/2393553 · Cited by 35,728
A Dynamic Theory of Organizational Knowledge Creation
Nonaka, I. (1994) · Organization Science · doi:10.1287/orsc.5.1.14 · Cited by 17,809
The Competitive Advantage of Nations
Clark, T., & Porter, M. W. (1991) · Journal of Marketing · doi:10.2307/1251962 · Cited by 17,449
Absorptive Capacity: A Review, Reconceptualization, and Extension
Zahra, S. A., & George, G. (2002) · The Academy of Management Review · doi:10.5465/amr.2002.6587995 · Cited by 10,758
(2003) · Cited by 9,368
Etzkowitz, H., & Leydesdorff, L. (2000) · Research Policy · doi:10.1016/s0048-7333(99)00055-4 · Cited by 8,559
Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology
Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996) · Administrative Science Quarterly · doi:10.2307/2393988 · Cited by 8,499
Strategic assets and organizational rent
Amit, R., & Schoemaker, P. J. H. (1993) · Strategic Management Journal · doi:10.1002/smj.4250140105 · Cited by 8,425
Dimensionalizing Cultures: The Hofstede Model in Context
Hofstede, G. (2011) · Online Readings in Psychology and Culture · doi:10.9707/2307-0919.1014 · Cited by 7,250
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Metadata
- Authors
- Santoro, G., Bresciani, S., & Papa, A.
- Venue
- Technovation
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 92-93
- Pages
- 102040
- ISSN
- 0166-4972 (ISSN-L)
- OpenAlex
- W2809003403
- Cited by
- 363
- References
- 121
- FWCI
- 51.12
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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