Technology licensing partners

Young Jun Kim; Nicholas S. Vonortas

doi:10.1016/j.jeconbus.2005.10.004

Technology licensing partners

Young Jun Kim, Nicholas S. Vonortas

Graduate School of management of technology

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

Abstract

While formal economic theory has tended to focus on strategic behavior in technology licensing within a single industry, empirical analysis in this paper shows that transaction and learning cost considerations factor in heavily when choosing technology licensing partners in multi-industry environments. The probability that two companies will engage in a licensing agreement mainly depends on the relationship between the collaborating firms and on their respective characteristics, including the similarity of their market and technological profiles, familiarity through prior interaction, and previous licensing experience, and on the strength of intellectual property protection in the primary industry of the licensor.

Original language	English
Pages (from-to)	273-289
Number of pages	17
Journal	Journal of Economics and Business
Volume	58
Issue number	4
DOIs	https://doi.org/10.1016/j.jeconbus.2005.10.004
Publication status	Published - 2006 Jul

Keywords

Licensing
Partnership
Technology

ASJC Scopus subject areas

Business, Management and Accounting(all)
Economics and Econometrics

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10.1016/j.jeconbus.2005.10.004

Cite this

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title = "Technology licensing partners",

abstract = "While formal economic theory has tended to focus on strategic behavior in technology licensing within a single industry, empirical analysis in this paper shows that transaction and learning cost considerations factor in heavily when choosing technology licensing partners in multi-industry environments. The probability that two companies will engage in a licensing agreement mainly depends on the relationship between the collaborating firms and on their respective characteristics, including the similarity of their market and technological profiles, familiarity through prior interaction, and previous licensing experience, and on the strength of intellectual property protection in the primary industry of the licensor.",

keywords = "Licensing, Partnership, Technology",

author = "Kim, {Young Jun} and Vonortas, {Nicholas S.}",

note = "Funding Information: This work has been supported by the Organization for Economic Cooperation and Development (contract JA00016280) and the US National Science Foundation (Grant #SRS-0097948). We thank Professors Ashish Arora, Wesley Cohen, Wally Mullin, and Chris Snyder and participants at the OECD Conference “IPR, Innovation and Economic Performance” (Paris, August 2003) for very useful comments on earlier versions of the paper. We would also like to thank the editors and an anonymous referee of this journal for very important interventions that have improved the paper significantly. All remaining mistakes are our responsibility.",

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doi = "10.1016/j.jeconbus.2005.10.004",

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journal = "Journal of Economics and Business",

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AU - Kim, Young Jun

AU - Vonortas, Nicholas S.

N1 - Funding Information: This work has been supported by the Organization for Economic Cooperation and Development (contract JA00016280) and the US National Science Foundation (Grant #SRS-0097948). We thank Professors Ashish Arora, Wesley Cohen, Wally Mullin, and Chris Snyder and participants at the OECD Conference “IPR, Innovation and Economic Performance” (Paris, August 2003) for very useful comments on earlier versions of the paper. We would also like to thank the editors and an anonymous referee of this journal for very important interventions that have improved the paper significantly. All remaining mistakes are our responsibility.

PY - 2006/7

Y1 - 2006/7

N2 - While formal economic theory has tended to focus on strategic behavior in technology licensing within a single industry, empirical analysis in this paper shows that transaction and learning cost considerations factor in heavily when choosing technology licensing partners in multi-industry environments. The probability that two companies will engage in a licensing agreement mainly depends on the relationship between the collaborating firms and on their respective characteristics, including the similarity of their market and technological profiles, familiarity through prior interaction, and previous licensing experience, and on the strength of intellectual property protection in the primary industry of the licensor.

AB - While formal economic theory has tended to focus on strategic behavior in technology licensing within a single industry, empirical analysis in this paper shows that transaction and learning cost considerations factor in heavily when choosing technology licensing partners in multi-industry environments. The probability that two companies will engage in a licensing agreement mainly depends on the relationship between the collaborating firms and on their respective characteristics, including the similarity of their market and technological profiles, familiarity through prior interaction, and previous licensing experience, and on the strength of intellectual property protection in the primary industry of the licensor.

KW - Licensing

KW - Partnership

KW - Technology

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U2 - 10.1016/j.jeconbus.2005.10.004

DO - 10.1016/j.jeconbus.2005.10.004

M3 - Article

AN - SCOPUS:33747005721

SN - 0148-6195

VL - 58

SP - 273

EP - 289

JO - Journal of Economics and Business

JF - Journal of Economics and Business

IS - 4

ER -

Technology licensing partners

Abstract

Keywords

ASJC Scopus subject areas

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