AI Summary & Key Takeaways
AI InsightThe efficiency of the technoparks was measured with CCR Input and Output Oriented Models, the issues deemed to increase the benefits provided by the technoparks are evaluated, and suggestions are made within the scope of the findings.
📌 3 Key Takeaways
Abstract
Technology Development Zone (Technopark) are units that focuses on working effectively and producing productive works due to their structures. It is known that each technopark differs in terms of its production method and the benefits it provides. This research respond to give information about the general conditions of the Technoparks whose data were shared publicly and they were valuated within the scope of expected and realized benefits. Data Envelopment Analysis (DEA), one of the Multi-Criteria Decision Making (MCDM) Methods is applied in the study. DEA is considered as one of the most frequently preferred analysis methods to measure efficiency, especially in structures with economic decision-making mechanisms. This paper includes 9 Technoparks, which share the data of the determined performance indicators up-to-date, according to the analysis of efficiency measurements performed with 3 inputs and 2 outputs. Collaboration and patent numbers among the variables used in the study are the output variables; infrastructure, offered advantages and proximity to the university refer to the input variables. The efficiency of the technoparks was measured with CCR Input and Output Oriented Models, the issues deemed to increase the benefits provided by the technoparks are evaluated, and suggestions are made within the scope of the findings.