Employer Branding Multi-Criteria Comprehensive Evaluation Framework Based on Online Reviews and Intuitionistic Fuzzy Topsis-LDA-Kano Model

Shouzhen Zeng, Luhong Gao, Jiaxia Wu, Mengkai Mao and Bo Peng
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Shouzhen Zeng: Ningbo University, China
Luhong Gao: Ningbo University, China
Jiaxia Wu: Ningbo University, China
Mengkai Mao: Ningbo University, China
Bo Peng: Bozhou University, China

International Journal of Fuzzy System Applications (IJFSA), 2025, vol. 14, issue 1, 1-34

Abstract: This study introduced a multi-criteria comprehensive evaluation method for assessing employer brands using online reviews, intuitionistic fuzzy technique for order preference by similarity to ideal solution, latent Dirichlet allocation, and Kano models. Initially, the latent Dirichlet allocation technique was applied to conduct topic mining of online employer brand reviews to construct a multi-index evaluation system. The weights of indexes were determined by analyzing the attributes of each indicator in the Kano model's requirement perception evaluation table and querying the corresponding Kano category factors. Simultaneously, by calculating the intuitive fuzzy values of the positive, neutral, and negative emotions of the employer brand, the emotional tendencies in online comments were then quantified. Subsequently, the technique for order preference by similarity to ideal solution method was employed to calculate the comprehensive score of the employer brands. Finally, the scientific validity and rationality of the method were verified through empirical and comparative analysis.

Date: 2025
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