Strategic Determinants of Partner Selection Criteria in International Joint Ventures

Geringer, J. Michael

doi:10.1057/palgrave.jibs.8490291

Cited by 492 publications

(393 citation statements)

References 16 publications

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“…While considerable research emphasizes that firms select partners based upon their resources and capabilities (e.g., Geringer, 1991;Mowery et al, 1998;Hitt et al, 2004;Li et al, 2008;Dekker and Van den Abbeele, 2010;Diestre and Rajagopalan, 2012), less attention has been given to the constraints and challenges firms face during partner selection. Firms often confront considerable uncertainty concerning a prospective partner's resources and prospects, and they are subject to risks associated with asymmetric information when searching for R&D partnerships (e.g., Pisano, 1990).…”

Section: Background Theorymentioning

confidence: 99%

“…Partner selection has been regarded as one of the most important choices firms make regarding their collaborative strategies (e.g., Geringer, 1991;Tallman and Shenkar, 1994;Luo, 1997;Hitt et al, 2004;Ring et al, 2005;Shah and Swaminathan, 2008;Beamish and Lupton, 2009;Dekker and Van den Abbeele, 2010). Specifically, these decisions can have an impact on the technological and other resources that firms access through collaborative agreements (e.g., Hagedoorn, 2002), and they are particularly important for R&D alliances involving entrepreneurial ventures in high-tech industries (e.g., Deeds and Hill, 1996;Rothaermel and Boeker, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Partner Selection in R&D Collaborations: Effects of Affiliations with Venture Capitalists

Reuer¹,

Devarakonda²

2017

Organization Science

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This paper extends information economics to the literature on alliance partner selection by demonstrating how VCs can facilitate R&D collaborations. We investigate a new role for VCsinformation intermediation -that can enable R&D partnerships between entrepreneurial ventures that lack knowledge of each other's technological resources. In contrast to the more diffuse signaling benefits entrepreneurial ventures obtain by affiliating with prominent VCs, backing by a common VC can privately and directly reduce information asymmetries between entrepreneurial ventures. We demonstrate that the effects of VC information intermediation are more pronounced when prospective collaborators are at the earliest stages of product development and when they find it difficult to judge each other's technological resources, such as when they do not have previous partnerships together, do not draw upon each other's knowledge bases, and have dissimilar technology portfolios. We empirically investigate the multiple different ways in which VCs potentially facilitate R&D partner selection and identify specific conditions under which VCs' information intermediation function contributes to segmentation in markets for R&D alliances.

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Section: Background Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Partner Selection in R&D Collaborations: Effects of Affiliations with Venture Capitalists

Reuer¹,

Devarakonda²

2017

Organization Science

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“…Broadly there are two selection criteria in alliance partner; task-related and partner-related criteria. These are generally accepted by most researchers and used as key measures for selection of alliance partners (Cummings & Holmberg, 2012;Dong & Glaister, 2006;Nielsen, 2003;Geringer, 1991;Glaister, 1996). Hence,…”

Section: Research Hypothesementioning

confidence: 99%

“…Das & Teng, (2000) also asserted that the selection of alliance partners influences the choice of alliance governance structure. A few researchers stressed the success of strategic alliance depends on the selection of appropriate alliance partners (Nielsen, 2003;Geringer, 1991;Rai, Borah, & Ramaprasad, 1996;Wu, Shih, & Chan, 2009). Furthermore, Sampson (2004) showed the alliance governance structure aligned with TCE perspective generated 138% higher alliance performance than the misaligned one, demonstrating the alliance governance structure may have impact on the alliance performance.…”

Section: Hypothesis 1: Technological Alliance Motivation (Here Tce Amentioning

confidence: 99%

The Comparative Effects of Transaction Cost Economics and Resource Based View: A Technological Alliance Motivational Perspective

Kim¹

2016

IJBSR

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This paper examines the impact of two main alliance motivation theories, transaction cost economics (TCE) and resource based view (RBV), on alliance processes among Korean manufacturing high-tech ventures. Results show that TCE and RBV are complimentarily explaining the formation of inter-firm alliances. TCE variables are more related with alliance partner characteristics while RBV is more linked with partner capabilities. Both show positive effects on performance. No significant effect is found on determining an alliance governance structure. While selecting appropriate technological alliance partners show positive effects on performance, no significant effect is found between alliance governance structure and performance. Factors of both theories impacting each alliance stage and analytical explanations of such impacts are discussed.

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“…The technology recipient firm's willingness to establish a mutually beneficial and collaborative relationship requires the recipient firm's honest intention to create common benefits for both JV partners (Yin and Bao, 2006). Studies on inter OL have suggested that cooperative/collective learning encourages the alliance partners to work together by sharing their knowledge, benefit each other's complementarities and provide mutual opportunities to extract potential synergies between their respective competencies (Doz, 1996;Geringer, 1991). Collaborative learning creates an access to the partner's knowledge and skills such as product and process technology, organizational skills, and knowledge about new environments (Inkpen, 1995a).…”

Section: Technology Recipient Characteristics and Degree Of Technologmentioning

confidence: 99%

Empirical Investigation on the Effects of Inter-Firm Technology Transfer Characteristics on Degree of Inter-Firm Technology Transfer: A Holistic Model

Wahab¹,

Rose²,

Osman³

2011

ASS

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The current issue on inter-firm technology transfer (TT) is centered on the efficiency and effectiveness of the transfer process by the multinationals (MNCs) where the success is strongly associated with degree of technology transferred to local partners. Based on the underlying knowledge-based view (KBV) and organizational learning (OL) perspectives, the main objective of this paper is to empirically examine the effects of four critical technology transfer characteristics: knowledge, technology recipient, technology supplier, and relationship characteristics on two distinct dimensions of degree of technology transfer: degree of tacit and explicit knowledge. Using the quantitative analytical approach, the theoretical model and hypotheses in this study were tested based on empirical data gathered from 128 joint venture companies registered with the Registrar of Companies of Malaysia (ROC). Data obtained from the survey questionnaires were analyzed using the correlation coefficients and multiple linear regression analyses. The results revealed that relationship characteristics have the strongest significant effects on both degrees of tacit and explicit knowledge followed by technology supplier and recipient characteristics. Contrary to the study's prediction, but still consistent with the recent development in literature, knowledge characteristics have only significantly affected degree of explicit knowledge not degree of tacit knowledge. The study has bridged the literature gaps by providing empirical evidence on the effects of four critical technology transfer characteristics: knowledge, technology recipient, technology supplier, and relationship characteristics on two distinct dimensions of degree of inter-firm technology transfer: degree of tacit and explicit knowledge in IJVs in a single model.

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Strategic Determinants of Partner Selection Criteria in International Joint Ventures

Cited by 492 publications

References 16 publications

Partner Selection in R&D Collaborations: Effects of Affiliations with Venture Capitalists

Partner Selection in R&D Collaborations: Effects of Affiliations with Venture Capitalists

The Comparative Effects of Transaction Cost Economics and Resource Based View: A Technological Alliance Motivational Perspective

Empirical Investigation on the Effects of Inter-Firm Technology Transfer Characteristics on Degree of Inter-Firm Technology Transfer: A Holistic Model

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