2015
DOI: 10.1108/cr-01-2015-0004
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Knowledge exchanges in innovation networks: evidences from an Italian aerospace cluster

Abstract: Purpose -This paper aims at investigating the multifaceted nature of innovation networks by focusing on two research questions: Do cluster actors exchange only one type of innovation-related knowledge? Do cluster actors play different roles in innovation-related knowledge exchange? Design/methodology/approach -This paper builds on data collected at the firm level in an Italian aerospace cluster, that is a technology-intensive industry where innovation is at the base of local competitiveness. A questionnaire wa… Show more

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Cited by 58 publications
(82 citation statements)
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“…All the participants to the focus groups completed the questionnaire: therefore, we collected data on 39 firms, which corresponds to a 68% response rate. The response rate is comparable to other studies focusing on inter-organizational networks in a similar context, if not higher [46,57,61,62].…”
Section: Empirical Setting and Data Collectionsupporting
confidence: 85%
See 1 more Smart Citation
“…All the participants to the focus groups completed the questionnaire: therefore, we collected data on 39 firms, which corresponds to a 68% response rate. The response rate is comparable to other studies focusing on inter-organizational networks in a similar context, if not higher [46,57,61,62].…”
Section: Empirical Setting and Data Collectionsupporting
confidence: 85%
“…The questionnaire consisted of a combination of multiple choice and network-related questions: in particular, we asked the respondents to indicate if, in the period 2012-2015, their company received or transferred technological, market, or managerial knowledge with other organizations in the cluster or outside the cluster. Indeed, scholars suggest that inter-organizational knowledge exchange is a broad concept which can be decomposed into different types [57][58][59]: technological knowledge, related to the development of new products and processes; market knowledge, related to the consumers' preferences and the market's structure; and managerial knowledge, related to those skills and competences required for organizing and supervising organizational resources and processes.…”
Section: Empirical Setting and Data Collectionmentioning
confidence: 99%
“…Finally, economic resilience may be studied at the interface of the network and cluster levels. Recent empirical findings suggest that knowledge flows and network positions differ significantly within clusters (Alberti and Pizzurno, 2015). Future research may therefore shed light on the ways in which varied network positions and knowledge flows within regional clusters relate to economic resilience.…”
Section: Resultsmentioning
confidence: 96%
“…Thus, IDs may be interpreted as cognitive labs or systems, as they are characterized by a high density of knowledge accumulation, elaboration and circulation by means of various transfer mechanisms, such as inter-organizational and interpersonal relations; observation or artifacts and actions; mobility of human resources; and creation of new ventures (Becattini and Rullani, 1996;Maskell, 2001;Camuffo and Grandinetti, 2011;Grandinetti, 2011). Various studies claim that spatial proximity in existing localized overlapping networks facilitates knowledge sharing and thus innovation in clusters (Belussi and Pilotti, 2002;Carbonara, 2004;Boix and Galletto, 2009;Alberti and Pizzurno, 2015). Local networks function as key vehicles of knowledge transfer and diffusion: being in the right place is necessary, but being in the right network is of utmost importance (Boschma and Ter Wal, 2007).…”
Section: Mechanisms Of Industry 40 Knowledgementioning
confidence: 99%
“…However, geographical proximity is not enough per se to understand innovation in local industrial networks (Alberti and Pizzurno, 2015). In fact, even if belonging to the same cluster, firms might have a different degree of access to knowledge, depending on other factors than spatial proximity, such as institutional, cognitive, organizational and social CR 31,1 proximity and absorptive capacity (Cohen and Levinthal, 1990;Giuliani, 2005;Camuffo and Grandinetti, 2011).…”
Section: Mechanisms Of Industry 40 Knowledgementioning
confidence: 99%