IDEAS home Printed from https://ideas.repec.org/a/aml/intbrm/v2y2011i2p59-73.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.cscjournals.org/manuscript/Journals/IJBRM/Volume2/Issue2/IJBRM-43.pdf
    Download Restriction: no
    File URL: https://www.cscjournals.org/library/manuscriptinfo.php?mc=IJBRM-43
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael Fritsch & Viktor Slavtchev, 2007. "What determines the efficiency of regional innovation systems?," Jena Economics Research Papers 2007-006, Friedrich-Schiller-University Jena.
    2. repec:hig:wpaper:98sti2019 is not listed on IDEAS
    3. Albahari, Alberto & Pérez-Canto, Salvador & Barge-Gil, Andrés & Modrego, Aurelia, 2017. "Technology Parks versus Science Parks: Does the university make the difference?," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 13-28.
    4. David B. Audretsch & Dennis P. Leyden & Albert N. Link, 2013. "Universities as research partners in publicly supported entrepreneurial firms," Chapters, in: Public Support of Innovation in Entrepreneurial Firms, chapter 12, pages 175-192, Edward Elgar Publishing.
    5. Ali, Ayfer & Gittelman, Michelle, 2016. "Research paradigms and useful inventions in medicine: Patents and licensing by teams of clinical and basic scientists in Academic Medical Centers," Research Policy, Elsevier, vol. 45(8), pages 1499-1511.
    6. Aron TOROK & Jozsef TOTH & Jeremias Mate BALOGH, 2018. "Networking theory of innovation in practice - The Hungarian case," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(12), pages 536-545.
    7. Hervás-Oliver, José-Luis & Parrilli, Mario Davide & Rodríguez-Pose, Andrés & Sempere-Ripoll, Francisca, 2021. "The drivers of SME innovation in the regions of the EU," Research Policy, Elsevier, vol. 50(9).
    8. Rachel Levy & Pascale Roux & Sandrine Wolff, 2009. "An analysis of science–industry collaborative patterns in a large European University," The Journal of Technology Transfer, Springer, vol. 34(1), pages 1-23, February.
    9. Alberto Marzucchi & Davide Antonioli & Sandro Montresor, 2015. "Industry–research co-operation within and across regional boundaries. What does innovation policy add?," Papers in Regional Science, Wiley Blackwell, vol. 94(3), pages 499-524, August.
    10. Deiaco, Enrico & Homén, Magnus & McKelvey, Maureen, 2008. "What does it Mean Conceptually that Universities Compete?," Working Paper Series in Economics and Institutions of Innovation 139, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    11. Petra Andries & Dirk Czarnitzki, 2014. "Small firm innovation performance and employee involvement," Small Business Economics, Springer, vol. 43(1), pages 21-38, June.
    12. David Grosse Kathoefer & Jens Leker, 2012. "Knowledge transfer in academia: an exploratory study on the Not-Invented-Here Syndrome," The Journal of Technology Transfer, Springer, vol. 37(5), pages 658-675, October.
    13. repec:spo:wpmain:info:hdl:2441/32ctbi8fbq8j5aom2j69qam6tf is not listed on IDEAS
    14. Federico Caviggioli & Alessandra Colombelli & Antonio De Marco & Giuseppe Scellato & Elisa Ughetto, 2023. "Co-evolution patterns of university patenting and technological specialization in European regions," The Journal of Technology Transfer, Springer, vol. 48(1), pages 216-239, February.
    15. Lee Branstetter & Kwon Hyeog Ug, 2004. "The Restructuring Of Japanese Research And Development: The Increasing Impact Of Science On Japanese R&D," Discussion papers 04021, Research Institute of Economy, Trade and Industry (RIETI).
    16. Riccardo Crescenzi & Andrea Filippetti & Simona Iammarino, 2017. "Academic inventors: collaboration and proximity with industry," The Journal of Technology Transfer, Springer, vol. 42(4), pages 730-762, August.
    17. Barge-Gil, Andrés & Conti, Annamaria, 2013. "Firm R&D units and outsourcing partners: A matching story," MPRA Paper 44090, University Library of Munich, Germany.
    18. Michael Fritsch & Viktor Slavtchev, 2007. "Universities and Innovation in Space," Industry and Innovation, Taylor & Francis Journals, vol. 14(2), pages 201-218.
    19. Gavin Cameron & Christopher Wallace, 2007. "Technology Shops: Efficient Pricing In Business-University Collaborations," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(1), pages 17-30.
    20. Alberto Marzucchi & Davide Antonioli & Sandro Montresor, 2012. "Research cooperation within and across regional boundaries. Does innovation policy add anything?," JRC Research Reports JRC76320, Joint Research Centre.
    21. Tobias Schlegel & Curdin Pfister & Dietmar Harhoff & Uschi Backes-Gellner, 2022. "Innovation effects of universities of applied sciences: an assessment of regional heterogeneity," The Journal of Technology Transfer, Springer, vol. 47(1), pages 63-118, February.
    22. James D. Adams, 2002. "Comparative localization of academic and industrial spillovers," Journal of Economic Geography, Oxford University Press, vol. 2(3), pages 253-278, July.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aml:intbrm:v:2:y:2011:i:2:p:59-73. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nabeel Tahir (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.