A Consensus-Based 360 Degree Feedback Evaluation Method with Linguistic Distribution Assessments
Chuanhao Fan,
Jiaxin Wang,
Yan Zhu () and
Hengjie Zhang
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Chuanhao Fan: Business School, Hohai University, Nanjing 211100, China
Jiaxin Wang: Business School, Hohai University, Nanjing 211100, China
Yan Zhu: Business School, Sichuan University, Chengdu 610065, China
Hengjie Zhang: Business School, Hohai University, Nanjing 211100, China
Mathematics, 2024, vol. 12, issue 12, 1-20
Abstract:
The 360 degree feedback evaluation method is a multidimensional, comprehensive assessment method. Evaluators may hesitate among multiple evaluation values and be simultaneously constrained by the biases and cognitive errors of the evaluators, evaluation results are prone to unfairness and conflicts. To overcome these issues, this paper proposes a consensus-based 360 degree feedback evaluation method with linguistic distribution assessments. Firstly, evaluators provide evaluation information in the form of linguistic distribution. Secondly, utilizing an enhanced ordered weighted averaging (OWA) operator, the model aggregates multi-source evaluation information to handle biased evaluation information effectively. Subsequently, a consensus-reaching process is established to coordinate conflicting viewpoints among the evaluators, and a feedback adjustment mechanism is designed to guide evaluators in refining their evaluation information, facilitating the attainment of a unanimous evaluation outcome. Finally, the improved 360 degree feedback evaluation method was applied to the performance evaluation of the project leaders in company J, thereby validating the effectiveness and rationality of the method.
Keywords: 360 degree feedback evaluation; linguistic distribution assessments; ordered weighted averaging operator; consensus reaching (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)
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