طراحی و رتبه‌بندی شاخص‌های ارزیابی مراکز رشد در بوم‌سازگان نوآوری ایران

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت فناوری، دانشکده مدیریت صنعتی و فناوری، دانشگاه تهران، ایران

2 دانشیار، گروه مدیریت صنعتی، دانشکده مدیریت صنعتی و فناوری، دانشگاه تهران، ایران

3 استادیار، گروه سیاست‌گذاری علم و فناوری، پژوهشکده مطالعات بنیادین علم و فناوری، دانشگاه شهید بهشتی، ایران

10.22034/jstp.2025.12078.1943

چکیده

پژوهش حاضر با هدف طراحی و رتبه‌بندی شاخص‌های ارزیابی مراکز رشد در بوم‌سازگان نوآوری ایران و با رویکردی آمیخته در سه فاز متوالی اجرا گردید. در فاز نخست با مرور نظام‌مند و انتخاب ۲۰ مقاله مرجع، ۳۱۲ معیار اولیه استخراج شد. در فاز دوم این معیارها به شاخص‌هایی قابل سنجش تبدیل گردید و پس از سه مرحله بازنگری مفهومی و دسته‌بندی، در قالب 4 لایه (ورودی، فرآیند، خروجی و پیامد)، 6 گروه و ۵3 شاخص سازمان‌دهی شد. سپس با استفاده از شاخص روایی محتوا و نظرات ۸ نفر از خبرگان، غربالگری و در نهایت ۴2 شاخص مهم انتخاب شد. در فاز سوم، ساختار نهایی با رویکرد تصمیم‌گیری چندمعیاره (روش بهترین-‌بدترین) و مشارکت ۱۰ خبره در دو سطح وزن‌دهی و رتبه‌بندی گردید. یافته‌ها نشان داد «خدمات پشتیبانی و رشد کسب‌وکار» و «منابع و پایداری مالی» در میان گروه‌ها و «حجم سرمایه تسهیل شده»، «میزان رضایت واحداها از خدمات»، «سهم اشتغال استانی» و «نرخ تجاری‌سازی» در میان شاخص‌های درون گروهی بیشترین اهمیت را دارند.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Design and Ranking of Evaluation Indicators for Business Incubators in Iran’s Innovation Ecosystem

نویسندگان [English]

  • Meisam Gachloo 1
  • jalil Heidary Dahooie 2
  • Hadi Nilforoushan 3
1 Ph.D. Student of Technology Management, Faculty of Industrial and Technology Management, University of Tehran, Iran.
2 Associate Professor, Faculty of Industrial and Technology Management, University of Tehran, Tehran, Iran
3 Assistant Professor, Institute for Basic Studies of Science and Technology, Shahid Beheshti University, Tehran, Iran
چکیده [English]

This study was conducted with the aim of designing and ranking evaluation indicators for incubators within Iran’s innovation ecosystem, employing a mixed-method approach across three consecutive phases. In the first phase, a systematic review was carried out and 20 key articles were selected, from which 312 initial criteria were extracted. In the second phase, these criteria were transformed into measurable indicators and, following three rounds of conceptual refinement and categorization, were organized into four layers (input, process, output, and outcome), six groups, and 53 indicators. Subsequently, through Content Validity Ratio (CVR) analysis and expert judgment from eight specialists, the framework was screened and narrowed down to 42 core indicators. In the third phase, the final structure was weighted and ranked using the Best–Worst Method (BWM) with the participation of 10 experts. The findings revealed that “business support and development services” and “financial resources and sustainability” were the most critical groups, while “facilitated investment volume,” “tenant satisfaction with services,” “regional employment contribution,” and “commercialization rate” emerged as the most significant intra-group indicators.

کلیدواژه‌ها [English]

  • Business incubator
  • Innovation ecosystem
  • Systematic review
  • Best–Worst Method
1] Oh, D. S., Phillips, F., Park, S., & Lee, E. (2016). Innovation Ecosystems: A Critical Examination. Technovation54, 1-6.
[2] Mian, S., Lamine, W., & Fayolle, A. (2016). Technology Business Incubation: An Overview of the State of KnowledgeTechnovation50, 1-12.
[3] Neamati, M. A. (2023). Analysis and Comparison of the Key Perfprmance Indicators (KPIs) of Iranian Technology Incubators. Quarterly Journal of Research and Planning in Higher Education13(3), 143-172.
[4] Ghasemizad, A., Kazemi, M., Abbasi, A., & Mohammadkhani, K. (2011). Improvement of Technology Business Incubators' Effectiveness: An Explanatory ModelAfrican Journal of Business Management5(22), 9278.
[5] Grimaldi, R., & Grandi, A. (2005). Business Incubators and New Venture Creation: An Assessment of Incubating Models. Technovation25(2), 111-121.
[6] Kaggwa, S., Onunka, T., Uwaoma, P. U., Onunka, O., Daraojimba, A. I., & Eyo-Udo, N. L. (2023). Evaluating the Efficacy of Technology Incubation Centres in Fostering Entrepreneurship: Case Studies From the Global SoutInternational Journal of Management & Entrepreneurship Research6(1), 46-68.
[7] Kilcrase, K. (2012). The Batavia Industrial Center: The Hatching of the World’s First Business Incubator. New York History, 93(1), 71–93.
[8] Hassan, N. A. (2024). University Business Incubators As a Tool For Accelerating Entrepreneurship: Theoretical PerspectiveReview of economics and political science9(5), 434-453.
[9] Fonseca, S. A., & Jabbour, C. J. C. (2012). Assessment of Business Incubators' Green Performance: A Framework and its Application to Brazilian CasesTechnovation32(2), 122-132.
[10] Wann, J. W., Lu, T. J., Lozada, I., & Cangahuala, G. (2017). University-Based Incubators’ Performance Evaluation: A Benchmarking Approach. Benchmarking: An International Journal, 24(1), 34-49.
[11] Kiran, R., & Bose, S. C. (2020). Stimulating Business Incubation Performance: Role of Networking, University Linkage and Facilities. Technology Analysis & Strategic Management, 32(12), 1407-1421.
[12] Rathore, R. S., & Agrawal, R. (2020). Measuring Performance of Business Incubators: A Literature Review and Theoretical Framework Development. In e-journal-First Pan IIT International Management Conference–2018.
[13] Pattanasak, P., Anantana, T., Paphawasit, B., & Wudhikarn, R. (2022). Critical Factors and Performance Measurement of Business Incubators: A Systematic Literature Review. Sustainability, 14(8), 4610.
[14] Azadnia, A. H., Stephens, S., Ghadimi, P., & Onofrei, G. (2022). A Comprehensive Performance Measurement Framework for Business Incubation Centres: Empirical Evidence in an Irish Context. Business Strategy and the Environment, 31(5), 2437-2455.
https://doi.org/10.1002/bse.3036
[15] Sarwono, R., & Trisetyarso, A. (2017). Business Incubator Indicator Service Performance—A Systematic Literature Review. In 2017 International Conference on Applied Computer and Communication Technologies (ComCom) (pp. 1-5). IEEE.
https://doi.org/10.1109/COMCOM.2017.8167081
[16] Ranjbar, M. S., Mohammadhashemi, Z., & Rajabzadeh, M. (2024). Evaluating the Performance of Innovation Accelerators in Iran; Survey Based on Logical Model ApproachJournal of Economic Ecosystem Studies4(2), 61-82. {In Persian}
[17] Romero Jeldres, M., Díaz Costa, E., & Faouzi Nadim, T. (2023). A Review of Lawshe’s Method for Calculating Content Validity in the Social Sciences. In Frontiers in Education (Vol. 8, p. 1271335). Frontiers Media SA.
[18] Rezaei, J. (2015). Best-Worst Multi-Criteria Decision-Making Method. Omega, 53, 49-57.
[19] Galbraith, B., McAdam, R., & Cross, S. E. (2019). The Evolution of the Incubator: Past, Present, and FutureIEEE Transactions on Engineering Management68(1), 265-271.
[20] Torun, M., Peconick, L., Sobreiro, V., Kimura, H., & Pique, J. (2018). Assessing Business Incubation: A Review on BenchmarkingInternational Journal of Innovation Studies2(3), 91-100.
[21] Barbero, J. L., Casillas, J. C., Ramos, A., & Guitar, S. (2012). Revisiting Incubation Performance: How Incubator Typology Affects ResultsTechnological Forecasting and Social Change79(5), 888-902
[22] Yuan X, Hao H, Guan C, Pentland A (2022) Which Factors Affect the Performance of Technology Business Incubators in China? An Entrepreneurial Ecosystem Perspective. PLoS ONE 17(1): e0261922.
[23] Kulkarni, P., Tigadi, B., Gokhale, P., & K, L. (2024). University Incubators Performance Through the Lens of Institutional TheoryVilakshan-XIMB Journal of Management.
[24] Gozali, L., Masrom, M., Zagloel, T.Y.M., Haron, H.N., Garza-Reyes, J.A., Tjahjono, B., Irawan, A.P., Daywin, F.J., Syamas, A.F., Susanto, S., Aliwarga, H.K.K., Marie, I.A., 2020. Performance Factors for Successful Business Incubators in Indonesian Public UniversitiesInternational Journal of Technology. Volume 11(1), pp. 155-166
[25] Habiburrahman, Prasetyo, A., Raharjo, T. W., Rinawati, H. S., Trisnani, Eko, B. R., Wahyudiyono, Wulandari, S. N., Fahlevi, M., Aljuaid, M., & Heidler, P. (2022). Determination of Critical Factors for Success in Business Incubators and Startups in East JavaSustainability14(21), 14243.
[26] Fuschi, D. L., & Galiyeva, N. (2022). Proposal for a Set of Business Incubator Performance Metrics Based System and Model AnalysisJournal of Organisational Studies & Innovation9(2).
[27] Gandhi, V., Syed, A. A., & Kumar, S. (2021). A Study of Performance Indicators of Technology Business Incubators (TBIs) in IndiaManagement Dynamics21(1), 14-23.
[28] Gerdsri, N., Iewwongcharoen, B., Rajchamaha, K., Manotungvorapun, N., Pongthanaisawan, J., & Witthayaweerasak, W. (2021). Capability Assessment toward Sustainable Development of Business Incubators: Framework and Experience SharingSustainability13(9), 4617.
[29] Gurgel, G. M. M., Vieira, F. D., & Rodrigues, C. S. (2017). Performance of Business Incubators: A Systematic Review of Evidence. In 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) (pp. 852-857). IEEE.
[30] Tsygankov, N. S., Petrunina, A. E., Moskalev, A. K., & Valkova, Y. E. (2020). Business Incubator Assessment Model. In IOP conference series: materials science and engineering (Vol. 986, No. 1, p. 012016). IOP Publishing.