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Affecting Factors of Knowledge-Based Companies Using Fuzzy AHP Model, Case Study Tehran University Enterprise Park

Author

Listed:
  • Elham Amini

    (Bam University of Medical Sciences)

  • Mohammad Baniasadi

    (Bam University of Medical Sciences)

  • Hossein Vahidi

    (Graduate University of Advanced Technology)

  • Hossein Nematollahi

    (University of Tehran)

  • Mehrdad Khatami

    (Bam University of Medical Sciences)

  • Mozafar Amandadi

    (Bam University of Medical Sciences)

  • Leila Malekyan

    (Bam University of Medical Sciences)

  • Hamid Safarpour

    (Shahid Beheshti University of Medical Sciences)

Abstract

Knowledge-based economy is a new economy in which the production, distribution, and use of knowledge is the main source of growth and wealth creation, which the knowledge-based economy companies are the engine of this system. These companies are usually private organization or cooperative companies, which their synergy is science and wealth, knowledge-based economic development, scientific and economic goals, and commercialization of research results. This study was conducted to investigate factors affecting these companies’ development. To this end, the target groups, including corporate executives and experts from the Ministry of Health was surveyed. Also, the fuzzy AHP technique is used to rate the judgments. For this purpose, eight factors, including technological factors, social and market conditions, political, administrative, economic, legal, and environmental factors are investigated. Finally, the views of these two groups have been compared and the differences in both approaches are discussed regarding the development of knowledge-based companies.

Suggested Citation

  • Elham Amini & Mohammad Baniasadi & Hossein Vahidi & Hossein Nematollahi & Mehrdad Khatami & Mozafar Amandadi & Leila Malekyan & Hamid Safarpour, 2020. "Affecting Factors of Knowledge-Based Companies Using Fuzzy AHP Model, Case Study Tehran University Enterprise Park," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 574-592, June.
    • Handle: RePEc:spr:jknowl:v:11:y:2020:i:2:d:10.1007_s13132-018-0554-9
    DOI: 10.1007/s13132-018-0554-9
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    References listed on IDEAS

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    1. Van Looy, Bart & Ranga, Marina & Callaert, Julie & Debackere, Koenraad & Zimmermann, Edwin, 2004. "Combining entrepreneurial and scientific performance in academia: towards a compounded and reciprocal Matthew-effect?," Research Policy, Elsevier, vol. 33(3), pages 425-441, April.
    2. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    3. Beccali, M. & Cellura, M. & Mistretta, M., 2003. "Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology," Renewable Energy, Elsevier, vol. 28(13), pages 2063-2087.
    4. Wang, Tien-Chin & Chen, Yueh-Hsiang, 2007. "Applying consistent fuzzy preference relations to partnership selection," Omega, Elsevier, vol. 35(4), pages 384-388, August.
    5. Dunk, Alan S., 2011. "Product innovation, budgetary control, and the financial performance of firms," The British Accounting Review, Elsevier, vol. 43(2), pages 102-111.
    6. Réjean Landry & Nabil Amara & Mathieu Ouimet, 2007. "Determinants of knowledge transfer: evidence from Canadian university researchers in natural sciences and engineering," The Journal of Technology Transfer, Springer, vol. 32(6), pages 561-592, December.
    7. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    8. Saaty, Thomas L., 1994. "Highlights and critical points in the theory and application of the Analytic Hierarchy Process," European Journal of Operational Research, Elsevier, vol. 74(3), pages 426-447, May.
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