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Analyzing the Competitive Advantage’s Criteria of Science and Technology Parks and Incubators Using DEMATEL Approach

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Abstract

The purpose of this study is to focus on the relationship between competitive advantage’s criterion of science and technology parks and incubators in order to identify factors with greater efficiency, focus on them, and develop them further in these centers. The key factors affecting the competitive advantage which prepared by our ex-study realized in the form of a DEMATEL questionnaire, and it was drawn up by experts. Questionnaires have been distributed via mail or presence in science and technology parks and experts’ office. The obtained results from the questionnaires on analysis of competitive advantage’s factors were evaluated by using Microsoft Excel, and the results of the review were modeled by yEd graph editor. Eventually, the obtained model was discussed and analyzed. In this research, the effectiveness and influence of each factor of competitive advantage in incubators and science and technology parks on the other factors are studied and the results are presented as chart and graph.

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References

  • Al-Mubaraki, H. M., Muhammad, A. H., & Busler, M. (2015).Categories of incubator success: a case study of three New York incubator programmes. World Journal of Science, Technology and Sustainable Development, 12(1), 2–12.

  • Areias, J., & Eiriz, V. (2013). Building competitive advantage through inter-organizational projects. Strategic Direction, 29(9), 31–34.

  • Bertolini, M. (2007). Assessment of human reliability factors: a fuzzy cognitive maps approach. International Journal of Industrial Ergonomics, 37(5), 405–413.

    Article  Google Scholar 

  • Bigliardi, B., Galati, F., Marolla, G., & Verbano, C. (2015). Factors affecting technology transfer offices’ performance in the Italian food context. Technology Analysis & Strategic Management, 27(4), 361–384.

    Article  Google Scholar 

  • Bloodgood, J. M. (2019). Knowledge acquisition and firm competitiveness: the role of complements and knowledge source. Journal of Knowledge Management, 23(1), 46–66.

    Article  Google Scholar 

  • Carlos, Q. T., & Sousa, M. P. (2015). Leveraging marketing capabilities into competitive advantage and export performance. International Marketing Review, 32(1), 78–102.

    Article  Google Scholar 

  • Chan, K. F., & Lau, T. (2005). Assessing technology incubator programs in the science park: the good, the bad, and the ugly. Technovation, 25(10), 1215–1228.

    Article  Google Scholar 

  • Chen, S., & Choi, C. J. (2004). Creating a knowledge-based city: the example of Hsinchu Science Park. Journal of Knowledge Management, 8(5), 73–82.

    Article  Google Scholar 

  • Dosi, G., Faillo, M. & Marengo, L. (2008). Problem solving and governance in the capability-based view of the firm: The roles and theoretical representations of organizational routines. In Handbook of Organizational Routines, ed. Becker, M. C., 107–121. Cheltenham: Edward Elger.

  • EDA. (2011). Incubating success: Incubation practices that lead to successful new ventures, US Department of Commerce Economic Development Administration, available at: www.edaincubatortool.org/pdf/Master%20Report_FINALDownloadPDF.pdf

  • Elahi, E. (2013). Risk management: the next source of competitive advantage. Foresight, 15(2), 117–131.

  • Fontela, E., & Gabus, A. (1976). The DEMATEL observer, DEMATEL 1976 report. Switzerland Geneva: Battelle Geneva Research Center.

  • Foreman, P., & Whetten, D. A. (2002). Members' identification with multiple-identity organizations. Organization Science, 13(6), 618–635.

  • Furman, J. L., Porter, M. E., & Stern, S. (2002). The determinants of national innovative capacity. Research Policy, 31(6), 899–933.

    Article  Google Scholar 

  • Hamid, N. (2018). Use balanced scorecard for measuring competitive advantage of infrastructure assets of state-owned ports in Indonesia: case in Pelindo IV, Indonesia. Journal of Management Development, 37(2), 114–126. https://doi.org/10.1108/JMD-12-2016-0313

    Article  Google Scholar 

  • Helmer, O. (1967). Analysis of the future, the Delphi method (pp. 3558–3569). Rand Corporation.

    Google Scholar 

  • Hobbs, K. G., Link, A. N., & Scott, J. T. (2017). Science and technology parks: an annotated and analytical literature review. Journal of Technology Transfer, 42(4), 957–976.

    Article  Google Scholar 

  • Hori, S., & Shimizu, Y. (1999). Designing methods of human interface for supervisory control systems. Control Engineering Practice, 7(11), 1413–1419.

    Article  Google Scholar 

  • Kermanshachi, S., Dao, B., Shane, J., & Anderson, S. (2016). Project complexity indicators and management strategies—a Delphi study. Procedia Engineering, 145, 587–594.

    Article  Google Scholar 

  • Khanmirzaee, S., Jafari, M., & Akhavan, P. (2018). A study on the role of science and technology parks in development of knowledge-based economy. World Journal of Entrepreneurship, Management and Sustainable Development, 14(1), 74–85.

    Article  Google Scholar 

  • Lai, H. C., & Shyu, J. Z. (2005). A comparison of innovation capacity at science parks across the Taiwan Strait: the case of Zhangjiang High-Tech Park and Hsinchu Science-based Industrial Park. Technovation, 25(7), 805–813.

    Article  Google Scholar 

  • Lecluyse, L., Knockaert, M., & Spithoven, A. (2019). The contribution of science parks : a literature review and future research agenda. Journal of Technology Transfer, 1–37.

  • Lee, Y. C., Yen, T. M., & Tsai, C. H. (2008). Using importance-performance analysis and decision making trial and evaluation laboratory to enhance order-winner criteria–a study of computer industry. Information Technology Journal, 7(3), 396–408.

    Article  Google Scholar 

  • Leung, C. K., & Wu, C. T. (1995). Innovation environment, R & D linkages, and technology development in Hong Kong. Regional Studies, 29(6), 533–546.

    Article  Google Scholar 

  • Lin, C. J., & Wu, W. W. (2008). A causal analytical method for group decision-making under fuzzy environment. Expert Systems with Applications, 34, 205–213.

    Article  Google Scholar 

  • Lin, Y. T., et al. (2011). Using DEMATEL method to explore the core competences and causal effect of the IC design service company: An empirical case study. Expert Systems with Applications, 38, 6262–6268.

    Article  Google Scholar 

  • López-Ospina, H., Quezada, L. E., Barros-Castro, R. A., Gonzalez, M. A., & Palominos, P. I. (2017). A method for designing strategy maps using DEMATEL and linear programming. Management Decision, 55(8), 1802–1823.

    Article  Google Scholar 

  • Montoro-Sánchez, A., Ortiz-de-Urbina-Criado, M., & Mora-Valentín, E. M. (2011). Effects of knowledge spillovers on innovation and collaboration in science and technology parks. Journal of Knowledge Management, 15(6), 948–970.

    Article  Google Scholar 

  • Mousavizade, F., & Shakibazad, M. (2019). Identifying and ranking CSFs for KM implementation in urban water and sewage companies using ISM-DEMATEL technique. Journal of Knowledge Management, 23(1), 200–218.

    Article  Google Scholar 

  • National Research Council. (2009). Understanding research, science and technology parks: Global best practices. National Academy Press.

    Google Scholar 

  • Pauwels, C., Clarysse, B., Wright, M., & Van Hove, J. (2016). Understanding a new generation incubation model: the accelerator. Technovation, 50–51, 13–24.

    Article  Google Scholar 

  • Porter, M. E. (1998). The competitive advantage: Creating and sustaining superior performance. NY: Free Press, 1985. (Republished with a new introduction)

  • Resource‐based theory: Creating and sustaining competitive advantage Edited by J.B. Barney and D.N Clark Oxford University Press, Oxford, Paperback, 2007; 316 pages, ISBN 978‐019‐927769‐8

  • Sharma, V., Dixit, A. R., Qadri, M. A. (2016). Empirical assessment of the causal relationships among lean criteria using DEMATEL method. Benchmarking: An International Journal, 23(7), 1834–1859.

  • Sigalas, C. (2015). Competitive advantage: the known unknown concept. Management Decision, 53(9), 2004–2016.

    Article  Google Scholar 

  • Triadó, X. M., Aparicio, P., & Jaría, N. (2015). Value added contributions of Science Parks: the case of the Barcelona Scientific Park. International Journal of Innovation Science, 7(2), 139–151.

    Article  Google Scholar 

  • Wibowo, S., & Deng, H. (2013). Consensus-based decision support for multicriteria group decision making. Computers & Industrial Engineering, 66(4), 625–633.

    Article  Google Scholar 

  • Wonglimpiyarat, J. (2014). Incubator policy to support entrepreneurial development, technology transfer and commercialization. World Journal of Entrepreneurship, Management and Sustainable Development, 10(4), 334–351.

    Article  Google Scholar 

  • Wonglimpiyarat, J. (2017). Technology auditing and risk management of technology incubators/science parks. World Journal of Entrepreneurship, Management and Sustainable Development, 13(1), 44–56.

    Article  Google Scholar 

  • Wu, H. Y. (2012). Constructing a strategy map for banking institutions with key performance indicators of the balanced scorecard. Evaluation and Program Planning, 35(3), 303–320.

    Article  Google Scholar 

  • Lin, C. H., Tung, C. M., & Huang, C. T. (2006). Elucidating the industrial cluster effect from a system dynamics perspective. Technovation, 26(4), 473–482.

    Article  Google Scholar 

  • Lin, C. L., & Tzeng, G. H. (2009). A value-created system of science (technology) park by using DEMATEL. Expert systems with applications, 36(6), 9683–9697.

    Article  Google Scholar 

  • Löfsten, H., & Lindelöf, P. (2002). Science Parks and the growth of new technology-based firms—academic-industry links, innovation, and markets. Research Policy, 31(6), 859–876.

    Article  Google Scholar 

  • OECD (1997) Technology Incubators: Nurturing Small Firms Paris: OECD Publishing

  • Phillimore, J. (1999). Beyond the linear view of innovation in science park evaluation An analysis of Western Australian Technology Park. Technovation, 19(11), 673–680.

    Article  Google Scholar 

  • Porter, M. E. (2000). Location, competition, and economic development: Local clusters in a global economy. Economic development quarterly, 14(1), 15-34.

  • Portnoi, L. M., Bagley, S. S., & Rust, V. D. (2010). Mapping the terrain: The global competition phenomenon in higher education. In Higher education, policy, and the global competition phenomenon (pp. 1–13). Palgrave Macmillan, New York.

  • Ratinho, T., & Henriques, E. (2010). The role of science parks and business incubators in converging countries: Evidence from Portugal. Technovation, 30(4), 278–290.

    Article  Google Scholar 

  • Sun, C. C. (2011). Evaluating and benchmarking productive performances of six industries in Taiwan Hsin Chu Industrial Science Park. Expert Systems with Applications, 38(3), 2195–2205.

  • Sun, C. C., Lin, G. T., & Tzeng, G. H. (2009). The evaluation of cluster policy by fuzzy MCDM: Empirical evidence from Hsinchu Science Park. Expert Systems with Applications, 36(9), 11895–11906.

    Article  Google Scholar 

  • Vedovello, C. (1997). Science parks and university-industry interaction: geographical proximity between the agents as a driving force. Technovation, 17(9), 491–531.

    Article  Google Scholar 

  • Westhead, P. (1997). R&D ‘inputs’ and ‘outputs’ of technology-based firms located on and off Science Parks. R&D Management, 27(1), 45–62.

    Article  Google Scholar 

  • Westhead, P., & Batstone, S. (1999). Perceived benefits of a managed science park location. Entrepreneurship & Regional Development, 11(2), 129–154.

    Article  Google Scholar 

  • Westhead, P., & Storey, D. J. (1994). An assessment of firms located on and off science parks in the United Kingdom. Londrers: HM Stationery Office.

    Google Scholar 

  • Wonglimpiyarat, J. (2008). Building effective research evaluation systems to assist R&D investment decisions. International Journal of Business Innovation and Research, 2(2), 123–140.

    Article  Google Scholar 

  • Zeng, S., Xie, X., & Tam, C. (2010). Evaluating innovation capabilities for science parks: A system model. Technological and Economic Development of Economy, 16(3), 397–413.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

    Sama Khanmirzaee & Mostafa Jafari

  2. Department of Management, Malek Ashtar University of Technology, Tehran, Iran

    Peyman Akhavan

Authors
  1. Sama Khanmirzaee
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  2. Mostafa Jafari
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  3. Peyman Akhavan
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Correspondence to Sama Khanmirzaee.

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Khanmirzaee, S., Jafari, M. & Akhavan, P. Analyzing the Competitive Advantage’s Criteria of Science and Technology Parks and Incubators Using DEMATEL Approach. J Knowl Econ 13, 2302–2318 (2022). https://doi.org/10.1007/s13132-021-00802-0

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