A Critical Review of Sharif' and Pitt's Models of Technology Performance Monitoring Framework for Science and Technology Park High Tech Companies with an Integrating DEA into GP

Document Type : Research Article (Original Article)

Authors

1 Associate Professor, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran.

2 Assistant Professor, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran.

3 MSc student of Industrial Management, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran.

Abstract

Performance evaluation is a critical issue in organizational and Academic Researches. Thus, it is necessary to propose a model to determine current performance status and try to reach performance ideal level. In this study, to increase accuracy of assessing Science and Technology Park High Tech Companies performance and identify the inefficiency and efficiency DMU's, we used a model that combines Data Envelopment Analysis and Goal Programming. Performance of High Tech Companies is measured based on this perspective. The results of the GPDEA-BCC model was compared with the BCC model and showed that Number of efficient DMU's are reduced from 23 to 4 when GPDEA-BCC model is used. The results showed the higher ability of this model compare to the basic models in separation the High Tech Companies units. Finally, using a sensitivity analysis identified the effective input and output in performance of each Science and Technology Park High Tech Companies.

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History

  • Receive Date: 05 February 2017
  • Revise Date: 25 April 2021
  • Accept Date: 05 February 2017

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