Designing a comprehensive fuzzy model for evaluating the performance of hospitals using the combined methods of Sustainable Balanced Scorecard, Swara and Multimoora

Document Type : Research Paper

Authors

1 Department of Accounting, Faculty of Management, Economics and Social Sciences, Shiraz University, Shiraz, Iran

2 Department of Accounting, Faculty of Management, Economics and Social Sciences, Shiraz International Branch, Shiraz, Iran

Abstract

Aim: The aim of this study is to present a novel model for the first time called "fuzzy comprehensive model" to experimentally evaluate the performance of hospitals using the combined methods of Sustainable Balanced Scorecard, Swara and Multimoora.



Method: using content analysis, the initial list of performance indicators, sustainability development and reputation of Balanced Scorecard in the field of performance evaluation of 907 hospitals in Iran are extracted and was finalized using the fuzzy Delphi method. .Using the fuzzy Swara method, each of the relevant indicators was weighted and using the Multimoora method hospitals were ranked based on the importance of the performance, sustainability development and reputation indicators .



Findings: The results led to the finalization of 81 indicators that twenty_ eight indicators were in internal processes and 10, 6, 8, 9 and 12 indicators in financial, customer, environmental, social responsibility and reputation aspects, respectively.



Conclusion: Interpretation of results shows that the most important aspects to evaluate performance for private hospitals are first financial and then customer, while for public hospitals are first growth and learning and then internal processes.



Enhancing knowledge: Because this model is comprehensive and complete, it can be useful for governments and hospital managers around the world and contribute to the development of existing literature knowledge in the field of Balanced Scorecard.

Keywords

Main Subjects

References

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History

  • Receive Date: 11 April 2022
  • Revise Date: 18 June 2022
  • Accept Date: 26 June 2022

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