An Analytical Study of Evaluative Indicators and Models of Science and Technology in order to Offer a Model for Measuring and Evaluating the Performance of Science and Technology Knowledge-based Companies in Iran
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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Introduction and purpose
The rapid advance of technology and learning is field-building of accession to information era and formation knowledge-based communities. Knowledge-based companies received generated knowledge and new ideas and in a fully structured process, do commercialization, so science and technology virgin's evaluation the performance of these firms is very important. The purpose of this research is analytical study of evaluative indicators and models for the of science and technology in order to offer a model for measuring and evaluating the performance of science and technology knowledge-based companies in Iran.
Research method
This research is done by documentary and survey methods; utilization the Delphi interview was conducted in four stages. Statistical methods including Friedman tests were used to analyze data.
Findings and innovation of research
 The most important findings of this research includes: determination the most important science and technology evaluation models, determination the most important parameters of the proposed model, assessment and measurement the impact of each evaluation models of science and technology on the proposed model ranking indicators of five main sections. According the past history can be said to wasn’t have provided a model to measure and evaluate the performance science and technology's knowledge-based companies and the model presented in this study can be considered the beginning of such this.
Conclusion
In the final version of the first stage 195 index, 95 index has been finalized and proposed. This modeling research with fifth section provided human, financial, structural, performance and efficiency indicators.
Language:
Persian
Published:
Journal of Information Processing and Management, Volume:34 Issue: 2, 2019
Pages:
517 to 533
magiran.com/p1950457  
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