Knowledge transfer and inter-firm relationships in industrial districts: the role of the leader firm

Albino, Vito; Garavelli, Achille Claudio; Schiuma, Giovanni

doi:10.1016/s0166-4972(98)00078-9

Cited by 252 publications

(152 citation statements)

References 27 publications

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“…In the end, the formerly emerging cluster may completely disappear. (ALBINO et al, 1999;BATHELT et al, 2004). The thematic boundaries of the cluster now move incrementally as new technologies are integrated into the cluster.…”

Section: Jena Economic Research Papers 2007-076mentioning

confidence: 99%

Cluster Life Cycles - Dimensions and Rationales of Cluster Development

Menzel

Fornahl

Planck³

2007

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractWe present a model that explains how a cluster moves through a life cycle and why this movement differs from the industry life cycle. The model is based on three key processes: the changing heterogeneity in the cluster describes the movement of the cluster through the life cycle; the geographical absorptive capacity enables clustered companies to take advantage of a larger diversity of knowledge and the stronger convergence of clustered companies compared to non-clustered companies results in a reduction of heterogeneity. We apply these processes to four stages of the cluster life cycle: emergence, growth, sustainment and decline.JEL-classification: R11, O30, L25

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Section: Jena Economic Research Papers 2007-076mentioning

confidence: 99%

Cluster Life Cycles - Dimensions and Rationales of Cluster Development

Menzel

Fornahl

Planck³

2007

SSRN Journal

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“…To analyse the findings and better understand the research implications, all factors identified by experts this were mapped onto the Albino et al [18] four-component model in Figure 2. zzz Five of the ten key factors -culture awareness, motivation, knowledge distance, trust and openness -are related to the KT actors.…”

Section: Discussionmentioning

confidence: 99%

“…We decided that the model suggested by Albino et al [18] had a comprehensive coverage of key elements and their relationships was suitable for our data analysis. A summary of the factors is presented in Table 1.…”

Section: Factors Affecting Knowledge Transfermentioning

confidence: 99%

Identifying key factors affecting transnational knowledge transfer

Duan

Nie

Coakes

2010

Information & Management

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We wished to further understand Transnational Knowledge Transfer (TKT) in a not-for-profit context. To accomplish this, we explored, verified, and mapped out the key factors affecting TKT using a four-component framework in the context of publically funded knowledge transfer (KT) projects. The Delphi technique was used to explore, identify, and verify the relevant key factors; twenty-four major factors were identified in the first round and more than half of the experts agreed on the top ten key factors in the second round. In addition, a number of new factors were identified and some findings that contradicted prior research were revealed. Our findings can help practitioners develop a more focused approach in dealing with the most significant factors (or bottlenecks) in KT.

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“…A measure of tacitness, the degree of codification is related to the speed and the ease of transfer (Zander & Kogut, 1995). The effect of codification to help alleviate that difficulty is also shown in a study of an Italian industrial district by Albino, Garavelli, and Schiuma (1998). In their analysis of international joint ventures Inkpen and Dinur (1998) also propose that tacitness makes it harder to transfer knowledge.…”

Section: Tacitnessmentioning

confidence: 94%

Determinants of causal ambiguity and difficulty of knowledge transfer within the firm

Uygur

2013

Journal of Management & Organization

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The knowledge-based view of the firm portrays knowledge assets as the basis of sustainable competitive advantage. However, leveraging the knowledge available to the firm is not straightforward. The transfer of best practices within the firm or the replication of a certain routine poses challenges for managers. Causal ambiguity of knowledge makes it difficult to transfer practices into other contexts within the firm. In this paper, a new framework is proposed that identifies four antecedents to causal ambiguity: complexity, tacitness, relevance to the existing knowledge base, and the locality of knowledge. The paper concludes with the implications of the framework.

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Knowledge transfer and inter-firm relationships in industrial districts: the role of the leader firm

Cited by 252 publications

References 27 publications

Cluster Life Cycles - Dimensions and Rationales of Cluster Development

Cluster Life Cycles - Dimensions and Rationales of Cluster Development

Identifying key factors affecting transnational knowledge transfer

Determinants of causal ambiguity and difficulty of knowledge transfer within the firm

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