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The determinants of research collaboration modes: exploring the effects of research and researcher characteristics on co-authorship

Author

Listed:
  • Seongkyoon Jeong

    (Korea Institute of Machinery and Materials (KIMM))

  • Jae Young Choi

    (Korea Institute for Industrial Economics and Trade (KIET))

  • Jaeyun Kim

    (Korea Institute of Machinery and Materials (KIMM))

Abstract

Given the high priority accorded to research collaboration on the assumption that it yields higher productivity and impact rates than do non-collaborative results, research collaboration modes are assessed for their benefits and costs before being executed. Researchers are accountable for selecting their collaboration modes, a decision made through strategic decision making influenced by their environments and the trade-offs among alternatives. In this context, by using bibliographic information and related internal data from the Korea Institute of Machinery and Materials (KIMM, a representative Korean government institute of mechanical research), this paper examines the suggested yet unproven determinants of research collaboration modes that the SCI data set cannot reveal through a Multinomial Probit Model. The results indicate that informal communication, cultural proximity, academic excellence, external fund inspiration, and technology development levels play significant roles in the determination of specific collaboration modes, such as sole research, internal collaboration, domestic collaboration, and international collaboration. This paper refines collaboration mode studies by describing the actual collaboration phenomenon as it occurs in research institutes and the motivations prompting research collaboration, allowing research mangers to encourage researchers to collaborate in an appropriate decision-making context.

Suggested Citation

  • Seongkyoon Jeong & Jae Young Choi & Jaeyun Kim, 2011. "The determinants of research collaboration modes: exploring the effects of research and researcher characteristics on co-authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 967-983, December.
  • Handle: RePEc:spr:scient:v:89:y:2011:i:3:d:10.1007_s11192-011-0474-y
    DOI: 10.1007/s11192-011-0474-y
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    More about this item

    Keywords

    Research collaboration; Research and development strategy; Co-authorship; Multinomial probit model;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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