Transferring R&amp;D knowledge: the key factors affecting knowledge transfer success

Cummings, Jeffrey L.; Teng, Bing‐Sheng

doi:10.1016/s0923-4748(03)00004-3

Cited by 652 publications

(582 citation statements)

References 98 publications

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“…After entering a technology license agreement, a licensee needs to have the ability to internalize the inlicensed technologies through a learning process (Cummings & Teng, 2003). A firm's licensing activities, thus, are embedded in its overall search strategy and positioning (Kollmer & Dowling, 2004).…”

Section: Methodology Data and Samplementioning

confidence: 99%

How do dynamic capabilities transform external technologies into firms’ renewed technological resources? – A mediation model

2016

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Section: Methodology Data and Samplementioning

confidence: 99%

How do dynamic capabilities transform external technologies into firms’ renewed technological resources? – A mediation model

2016

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“…Ease of accessibility is determined by the nature of the knowledge: whether knowledge can be codified and transmitted in a formal and systematic way (explicit or tacit) (Lee, Chang, Liu, & Yang, 2007;Nonaka & Takeuchi, 1995). It has been argued that articulable knowledge is transferable with less effort than less-articulable knowledge (Cummings & Teng, 2003). However, even if stocks of knowledge mainly comprise codified documents and information, such as patents or product formulas, explicit knowledge must rely on being tacitly understood and applied (Polanyi, 1966).…”

Section: Access To Knowledge and Knowledge Acquisitionmentioning

confidence: 99%

Institutional distance and knowledge acquisition in international buyer-supplier relationships: The moderating role of trust

Ghauri

Larimo

2017

Asia Pac J Manag

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Institutional distance can generate expanded opportunities for multinational firms to facilitate learning and responsiveness. However, such distance can also create obstacles regarding knowledge transfer and integration. A theoretical puzzle concerns the mechanisms and conditions in which international buyers and suppliers can overcome institutional distance and acquire new knowledge. We develop an integrative moderated-mediation model in which institutional distance prevents parties from accessing knowledge but, when knowledge is obtained and mutual trust is developed, it promotes cross-border knowledge acquisition in international buyer-supplier exchange, particularly between international firms and firms from the Asia Pacific region. These findings indicate that firms can overcome the challenges of regulative and cognitive distance and facilitate access to knowledge and knowledge acquisition when they are able to develop and cultivate relationships of mutual trust with foreign partners. While normative distance may create learning incentives and opportunities in international buyer-supplier relationships, its impacts on knowledge accessibility and acquisition are insignificant.

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“…In order to find dimensions for knowledge transfer mechanisms, the original literature review also included a search on the characteristics of knowledge flow and the capability of transfer mechanisms to transfer knowledge of a specific knowledge characteristic. The literature review was able to identify a number of characteristic elements, namely, knowledge explicitness (Snider & Nissen 2003), knowledge richness (Boh 2007), knowledge stickiness (Cummings & Teng 2003), knowledge reach (Nissen 2007), knowledge flow time (Snider & Nissen 2003) and timeliness (Cummings & Teng 2003), knowledge formality (Boh & Wong 2013;Patriotta et al 2013) and knowledge distortion (Hansen 2002). As knowledge explicitness, richness and the stickiness characteristic element relate to each other these three are combined into a single element namely knowledge explicitness and together with the remaining four make up the five knowledge transfer mechanism characteristic dimension that will be used in this study and are discussed in the following sub-sections.…”

Section: Methodological Approachmentioning

confidence: 99%

Refining the classification of knowledge transfer mechanisms for project-to-project knowledge sharing

Waveren

Oerlemans

Pretorius

2017

SAJEMS

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Background: The complex, unique and temporary nature of projects makes project-to-project knowledge transfer challenging and has attracted attention from both practitioners and academic scholars. This challenging nature of project-to-project knowledge transfer led to the proliferation of a host of tools and instruments (so-called knowledge transfer mechanisms) in which little structure can be discovered making selection by (project) managers a difficult task.Aim: This article aims to deal with this unstructured proliferation of knowledge transfer mechanisms by empirically categorising these transfer mechanisms, thereby reducing the number of mechanisms to groups that share a common characteristic.Setting: The study takes stock of the wide range of knowledge transfer mechanisms available and analyses them in terms of specific characteristics (e.g. explicitness or reach).Methods: A multi-method approach is used in which a multi-level latent class analysis is applied on data collected via an expert panel.Results: Five categories of transfer mechanisms could be empirically established where these mechanisms showed common characteristics.Conclusion: The taxonomy developed will allow organisations and project managers to more efficiently select appropriate transfer mechanisms for use in project-to-project knowledge transfer.

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Transferring R&D knowledge: the key factors affecting knowledge transfer success

Cited by 652 publications

References 98 publications

How do dynamic capabilities transform external technologies into firms’ renewed technological resources? – A mediation model

How do dynamic capabilities transform external technologies into firms’ renewed technological resources? – A mediation model

Institutional distance and knowledge acquisition in international buyer-supplier relationships: The moderating role of trust

Refining the classification of knowledge transfer mechanisms for project-to-project knowledge sharing

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