Mitigating the Challenges of Partner Knowledge Diversity While Enhancing Research & Development (R&D) Alliance Performance: The Role of Alliance Governance Mechanisms.

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Title: Mitigating the Challenges of Partner Knowledge Diversity While Enhancing Research & Development (R&D) Alliance Performance: The Role of Alliance Governance Mechanisms.
Authors: Choi, Jeongho (AUTHOR) choij@uww.edu
Source: Journal of Product Innovation Management. Jan2020, Vol. 37 Issue 1, p26-47. 22p. 2 Diagrams, 5 Charts, 4 Graphs.
Subjects: Research & development, Level of difficulty, Biopharmaceutics
Abstract: This article explores the answers to the following unresolved research question: How do firms mitigate the collaboration challenges associated with partner knowledge diversity and enhance alliance performance? The study provides an alliance performance enhancing framework by identifying two types of partner knowledge diversity: (1) technology base diversity and (2) R&D process experience diversity, and links them with R&D alliance performance. Additionally, the moderating effects of the two types of alliance governance mechanisms (i.e., interactive and contractual mechanisms) were examined to investigate which alliance governance mechanism is conducive to mitigate the collaboration challenges and enhance alliance performance. Using a data set of 316 alliances in the biopharmaceuticals industry, the study found that a moderate degree (not too low or high) of technology base diversity between alliance partners contributes more to R&D alliance performance. Similarly, there was also an inverted U‐shaped relationship between R&D process experience diversity and alliance performance; too much diversity in R&D process experience may increase the likelihood of partner opportunism, and therefore negatively affect alliance performance. Additionally, the results showed that alliance governance mechanisms played different roles in alliance collaboration; while the contractual alliance mechanisms help reduce relational uncertainty (e.g., opportunism), the interactive mechanisms promoting a more intensive interaction between partners mitigates task difficulty and facilitates complex technology activities. These findings extend the knowledge‐based view (KBV) of strategic alliance and advance research on alliance governance design. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Product Innovation Management is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Mitigating the Challenges of Partner Knowledge Diversity While Enhancing Research & Development (R&D) Alliance Performance: The Role of Alliance Governance Mechanisms.
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  Data: <searchLink fieldCode="AR" term="%22Choi%2C+Jeongho%22">Choi, Jeongho</searchLink> (AUTHOR)<i> choij@uww.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Product+Innovation+Management%22">Journal of Product Innovation Management</searchLink>. Jan2020, Vol. 37 Issue 1, p26-47. 22p. 2 Diagrams, 5 Charts, 4 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Research+%26+development%22">Research & development</searchLink><br /><searchLink fieldCode="DE" term="%22Level+of+difficulty%22">Level of difficulty</searchLink><br /><searchLink fieldCode="DE" term="%22Biopharmaceutics%22">Biopharmaceutics</searchLink>
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  Data: This article explores the answers to the following unresolved research question: How do firms mitigate the collaboration challenges associated with partner knowledge diversity and enhance alliance performance? The study provides an alliance performance enhancing framework by identifying two types of partner knowledge diversity: (1) technology base diversity and (2) R&D process experience diversity, and links them with R&D alliance performance. Additionally, the moderating effects of the two types of alliance governance mechanisms (i.e., interactive and contractual mechanisms) were examined to investigate which alliance governance mechanism is conducive to mitigate the collaboration challenges and enhance alliance performance. Using a data set of 316 alliances in the biopharmaceuticals industry, the study found that a moderate degree (not too low or high) of technology base diversity between alliance partners contributes more to R&D alliance performance. Similarly, there was also an inverted U‐shaped relationship between R&D process experience diversity and alliance performance; too much diversity in R&D process experience may increase the likelihood of partner opportunism, and therefore negatively affect alliance performance. Additionally, the results showed that alliance governance mechanisms played different roles in alliance collaboration; while the contractual alliance mechanisms help reduce relational uncertainty (e.g., opportunism), the interactive mechanisms promoting a more intensive interaction between partners mitigates task difficulty and facilitates complex technology activities. These findings extend the knowledge‐based view (KBV) of strategic alliance and advance research on alliance governance design. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Product Innovation Management is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jan2020
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