Research on the Pre-Employment Job Fit Evaluation Model for Urban Bus Drivers Based on Grounded Theory

Pre-employment job fit evaluation for urban bus drivers is a critical process to ensure safe public transportation operations. This study, based on the grounded theory method, constructed an evaluation index system comprising four dimensions: personal qualities, work abilities, safety awareness, and service level, through in-depth interviews with bus drivers and management staff from a Chongqing bus company. The support vector machine algorithm was used to calculate index weights, and an evaluation system based on the B/S architecture was developed. Empirical results indicate that the model demonstrates strong reliability and practicality, with evaluation outcomes highly consistent with drivers' actual job performance. The study provides a scientific basis for personnel management in bus companies.

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Published
2024-12-27
DOI
https://doi.org/10.1145/3718491.3718592
Primary Topic
AI and HR Technologies
Type
article
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article

Research on the Pre-Employment Job Fit Evaluation Model for Urban Bus Drivers Based on Grounded Theory

Qichao Zhang, Ganli Liao, Jingwen Lu
AI and HR Technologies
article

Research on the Pre-Employment Job Fit Evaluation Model for Urban Bus Drivers Based on Grounded Theory

Qichao Zhang, Ganli Liao, Jingwen Lu
article en

Abstract

Pre-employment job fit evaluation for urban bus drivers is a critical process to ensure safe public transportation operations. This study, based on the grounded theory method, constructed an evaluation index system comprising four dimensions: personal qualities, work abilities, safety awareness, and service level, through in-depth interviews with bus drivers and management staff from a Chongqing bus company. The support vector machine algorithm was used to calculate index weights, and an evaluation system based on the B/S architecture was developed. Empirical results indicate that the model demonstrates strong reliability and practicality, with evaluation outcomes highly consistent with drivers' actual job performance. The study provides a scientific basis for personnel management in bus companies.

Beijing Information Science & Technology University (CN)
Decent work and economic growth
Openalex Percentile: Top 62%
AI and HR Technologies
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