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Review Article

Med Arch. 2013; 67(2): 131-133

Performance Evaluation of the Suggestion System

Mohammad Hadi, Haniye Sadat Sajjadi, Sara Baratpour, Ali Toghiani.

This cross-sectional research evaluated the suggestion system of Isfahan University of Medical Sciences (IUMS) using CIPP model. Methods: The population consisted of all members of executive committee of suggestion system and the members of professional and general committee of IUMS; regarding to some limitations, sampling was not done. The tool of gathering data was a self-constructed questionnaire that its content validity approved by the professors’ ideas, and calculating Cronbach’s α confirmed its reliability. Collected data was analyzed using SPSS software. Results and Discussion: Analyzed data showed that the average score of the performance of the mentioned system was 50.47±14.8; based on this result it can be claimed that most of the participants (about 91%) evaluated the performance of the system moderate. The comparison of the average score of the four dimensions of CIPP model showed that the input dimension had the highest score and process, product and context dimensions were next on the hierarchy. Conclusion: Planning some programs for paying awards, facilitating and accelerating the personnel’s and notifying the procedures of the suggestion system implementation are some useful strategy that could be used to increase the staff’s participants.

Key words: suggestion system, performance evaluation.

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