Performance Analysis of Knowledge-Based Firms: The Case of Tehran Science and Technology Park Firms

Subject Areas : Business Management

Hormat  Asghari ¹ (Graduated from Public Administration, Islamic Azad University, Science and Research Branch of Tehran, Iran)
Karamollaa  Daneshfard ² (Professor of Public Administration, Islamic Azad University, Department of Science and Research, Tehran, Iran)
Naser  Mirsepasi ³ (Professor of Public Administration, Islamic Azad University, Science and Research Branch of Tehran, Iran)

Received: 2016-11-12 Accepted : 2018-05-06 Published : 2018-06-22

Keywords: Science and Technology Parks, Knowledge-based firms, performance analysis, qualitative-quantitative approaches,

Abstract :

Performance analysis is a crucial requirement in the development of Science and Technology Parks. Having employed both qualitative and quantitative techniques, this mix-method developmental and applied study was undertaken to analyze the performance of knowledge-based firms in Science and Technology Parks based on the performance evaluation model. The model system used was designed based on a sound review of the theoretical background, documentary analysis and interviews with 17 experts in the field. To evaluate the model and the status quo, a fieldwork questionnaire was distributed among 260 experts and managers in Tehran Science and Technology Parks. The collected data were analyzed via Structural Equation Modeling. The results of the interviews revealed that the experts identified the system model as the best model for assessing the performance of knowledge-based companies; this template was developed in the form of inputs, processes and outputs along with related indicators which were further evaluated. At the stage of pathology, the identified variables were scrutinized among which Human Resource Management (HRM) was found to be less efficiently functioning compared to other variables. HRM comprises employment of qualified human resources and adequately maintaining and organizing them to facilitate cooperation, which were found to be far from adequacy. The findings offer some implications for effective management of Science and Technology Parks.

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