Azar, a., et al., Designing of working Groups Performance Evaluation Model: Multi level DEA Approach. Organizational Resources Management Researchs, 2012. 2(3): p. 1-22.
 McCarthy, I.P., et al., A typology of university research park strategies: What parks do and why it matters. Journal of Engineering and Technology Management, 2018. 47: p. 110-122.
 Monck, C. and K. Peters, science park as an instrument of regional competitiveness: measuring success and impact, in ISAP. 2009.
 D. Banker, R. and R. C. Morey, Efficiency Analysis for Exogenously Fixed Inputs and Outputs. Vol. 34. 1986. 513-521.
 Lindelöf, P. and H. Löfsten, Science Park Location and New Technology-Based Firms in Sweden – Implications for Strategy and Performance. Small Business Economics, 2003. 20(3): p. 245-258.
 Lindelöf, P. and H. Löfsten, Proximity as a Resource Base for Competitive Advantage: University–Industry Links for Technology Transfer. The Journal of Technology Transfer, 2004. 29(3): p. 311-326.
 Löfsten, H. and P. Lindelöf, Science Parks and the growth of new technology-based firms—academic-industry links, innovation and markets. Research policy, 2002. 31(6): p. 859-876.
 Löfsten, H. and P. Lindelöf, Determinants for an entrepreneurial milieu: Science Parks and business policy in growing firms. Technovation, 2003. 23(1): p. 51-64.
 Löfsten, H. and P. Lindelöf, R&D networks and product innovation patterns—academic and non-academic new technology-based firms on Science Parks. Technovation, 2005. 25(9): p. 1025-1037.
 Westhead, P. and D.J. Storey, Links between higher education institutions and high technology firms. Omega, 1995. 23(4): p. 345-360.
 Siegel, D.S., P. Westhead, and M. Wright, Assessing the impact of university science parks on research productivity: exploratory firm-level evidence from the United Kingdom. International Journal of Industrial Organization, 2003. 21(9): p. 1357-1369.
 Colombo, M.G. and M. Delmastro, How effective are technology incubators? Research Policy, 2002. 31(7): p. 1103-1122.
 EIB, PLAN AND MANAGE A SCIENCE PARK IN THE MEDITERRANEAN GUIDEBOOK FOR DECISION MAKERS. 2010, Europiean Investment Bank.
 Ringlever, J., Assessment of Technology Parks: a University case, in ndustrial Engineering and Management. 2012, Twente: Enschede, the Netherlands.
 Angulo-Guerrero, M.J., S. Pérez-Moreno, and I.M. Abad-Guerrero, How economic freedom affects opportunity and necessity entrepreneurship in the OECD countries. Journal of Business Research, 2017. 73: p. 30-37.
 Dabrowska, J., Measuring the success of science parks: performance monitoring and evaluation, in XXVIII IASP World Conference on Science and Technology Parks, 2011. 2012, IASP.
 Liberati, D., M. Marinucci, and G.M. Tanzi, Science and technology parks in Italy: main features and analysis of their effects on the firms hosted. The Journal of Technology Transfer, 2016. 41(4): p. 694-729.
 Mansour, A.M.H. and L. Kanso, Science park implementation–A proposal for merging research and industry in developing Arab countries. HBRC journal, 2018. 14(3): p. 357-367.
 Cheba, K. and J. Hołub-Iwan, How to measure the effectiveness of technology parks? The case of Poland. 2014.
 Lin, C.-L. and G.-H. Tzeng, A value-created system of science (technology) park by using DEMATEL. Vol. 36. 2009. 9683-9697.
 Soenarso, W.S., D. Nugraha, and E. Listyaningrum, Development of Science and Technology Park (STP) in Indonesia to Support Innovation-Based Regional Economy: Concept and Early Stage Development. World Technopolis Review, 2013. 2(1): p. 32-42.
 M’Chirgui, Z., et al., University technology commercialization through new venture projects: an assessment of the French regional incubator program. The Journal of Technology Transfer, 2016: p. 1-19.
 van Weele, M., F.J. van Rijnsoever, and F. Nauta, You can't always get what you want: How entrepreneur's perceived resource needs affect the incubator's assertiveness. Technovation, 2017. 59: p. 18-33.
 Albahari, A., et al., The influence of Science and Technology Park characteristics on firms' innovation results. Papers in Regional Science, 2018. 97(2): p. 253-279.
 Jarunee, W., Technology auditing and risk management of technology incubators/science parks. World Journal of Entrepreneurship, Management and Sustainable Development, 2017. 13(1): p. 44-56.
 Soenarso, W., D. Nugraha, and E. Listyaningrum, Development of Science and Technology Park (STP) in Indonesia to Support Innovation-Based Regional Economy: Concept and Early Stage Development. Vol. 2. 2013.
 Ramírez-Alesón, M. and M. Fernández-Olmos, Unravelling the effects of Science Parks on the innovation performance of NTBFs. The Journal of Technology Transfer, 2018. 43(2): p. 482-505.
 Mian, S., W. Lamine, and A. Fayolle, Technology Business Incubation: An overview of the state of knowledge. Technovation, 2016. 50-51(Supplement C): p. 1-12.
 Sun, C.C., Evaluating and benchmarking productive performances of six industries in Taiwan Hsin Chu Industrial Science Park. Vol. 38. 2011. 2195-2205.
 Van Dierdonck, R., K. Debackere, and B. Engelen, University-industry relationships: How does the Belgian academic community feel about it? Research Policy, 1990. 19(6): p. 551-566.
 Monck, C., Performance monitoring and evaluation, in UKSPA conference proceedings. 2010
 Mansour, A.M.H. and L. Kanso, Science park implementation – A proposal for merging research and industry in developing Arab countries. HBRC Journal, 2017.
 Rubin, T.H., T.H. Aas, and A. Stead, Knowledge flow in Technological Business Incubators: Evidence from Australia and Israel. Technovation, 2015. 41-42: p. 11-24.
 van Weele, M., F.J. van Rijnsoever, and F. Nauta, You can't always get what you want: How entrepreneur's perceived resource needs affect the incubator's assertiveness. Technovation, 2017. 59(Supplement C): p. 18-33.
 Cook, W.D., et al., Hierarchies and Groups in DEA. Journal of Productivity Analysis, 1998. 10(2): p. 177-198.
 Cook, W.D. and R.H. Green, Evaluating power plant efficiency: a hierarchical model. Computers & Operations Research, 2005. 32(4): p. 813-823.
 Azizi, H., A. Amirteimoori, and S. Kordrostami, Measurement of the worst practice of decision-making units: Incorporating both undesirable outputs and non-discretionary inputs into imprecise DEA. Modern Research in Decision Making, 2018. 3(2): p. 197-222.