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Design of Success Criteria Based Evaluation Model for Assessing the Research Collaboration Between University and Industry

Author

Listed:
  • Abeda Muhammad Iqbal

    (, Malaysia)

  • Adnan Shahid Khan

    (, Malaysia)

  • Saima Iqbal

    (, Malaysia)

  • Aslan Amat Senin

    (, Malaysia)

Abstract

Innovations and inventions are not outcomes of single activity of any organization. This is a result of collaboration of different partners. Collaborated research of university and industry can enhance the ability of scientist to make significant advances in their fields. The evaluation of collaborated research between university and industry has created the greatest interest among the collaborational researchers because it can determine the feasibility and value of the collaboration. This paper intends to illustrate the evaluation metrics and success criteria- based evaluation model in between university-industry in their collaborated research. For bridging the model, the success criteria have been identified based on key evaluation metrics. A successful Collaboration of university and industry is not dependent on any single metric but instead on the confluence of multiple metrics from the growth of basic research to commercialization. This study is intended to provide different evaluating metrics to impound the research collaboration constraints between university and industry, and design success criteria to upsurge the successful linkage. For this purpose we have developed constraints and success criteria based evaluation metrics (CASEM) model. The proposed model is appropriate for almost all types of collaborations specially research collaborations between university and industry. By adopting this model, any university or industry can easily cross the threshold in the grown-up research collaborational community.

Suggested Citation

  • Abeda Muhammad Iqbal & Adnan Shahid Khan & Saima Iqbal & Aslan Amat Senin, 2011. "Design of Success Criteria Based Evaluation Model for Assessing the Research Collaboration Between University and Industry," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 2(2), pages 59-73, May.
    • Handle: RePEc:aml:intbrm:v:2:y:2011:i:2:p:59-73
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    References listed on IDEAS

    as
    1. Leydesdorff, Loet & Fritsch, Michael, 2006. "Measuring the knowledge base of regional innovation systems in Germany in terms of a Triple Helix dynamics," Research Policy, Elsevier, vol. 35(10), pages 1538-1553, December.
    2. Mansfield, Edwin & Lee, Jeong-Yeon, 1996. "The modern university: contributor to industrial innovation and recipient of industrial R&D support," Research Policy, Elsevier, vol. 25(7), pages 1047-1058, October.
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    Cited by:

    1. Abeda Muhammad Iqbal & Narayanan Kulathuramaiyer & Adnan Shahid Khan & Johari Abdullah & Mussadiq Ali Khan, 2022. "Intellectual Capital: A System Thinking Analysis in Revamping the Exchanging Information in University-Industry Research Collaboration," Sustainability, MDPI, vol. 14(11), pages 1-15, May.

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    More about this item

    Keywords

    University Industry Research Collaboration; Evaluation Metrics; Evaluation Model; Technology Transfer; Success Criteria;
    All these keywords.

    JEL classification:

    • M0 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General

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