Group management model for construction workers' unsafe behavior based on cognitive process model

Author:

Deng Shuwen,Cai Yili,Xie Longpan,Pan Yonggang

Abstract

PurposeUnsafe behavior is a major cause of safety accidents, while in most management measures for unsafe behavior, the construction workers are generally managed as a whole. Therefore, this study aims to propose group management of construction workers' unsafe behavior considering individual characteristics.Design/methodology/approachA cognitive process model with ten cognitive factors was constructed based on cognitive safety theory. The questionnaire was developed and validated based on the cognitive model, and the results showed that the questionnaire had good reliability and validity, and the cognitive model fitted well. Latent class analysis was used to classify the unsafe behaviors of construction workers.FindingsFour categories of cognitive excellent type, cognitive failure type, no fear type and knowingly offending type were obtained. Workers of cognitive excellent type have good cognitive ability and a small tendency for unsafe behaviors. Workers of cognitive failure type have poor cognitive ability and the potential for cognitive failure in all four cognitive links. Workers of no fear type have weak cognitive ability, and cognitive failure may occur in discovering information and choosing coping links. Workers of knowingly offending type have certain cognitive abilities, but cognitive failure may occur in choosing coping link.Originality/valueThis study formulates targeted management measures according to the potential characteristics of these four types and provides scientific theoretical support for the personalized management of unsafe behavior.

Publisher

Emerald

Subject

General Business, Management and Accounting,Building and Construction,Architecture,Civil and Structural Engineering

Reference61 articles.

1. Behavior-based safety, the main strategy to reduce accidents in the country: a case study in an automobile company;Toloo E Behdasht,2015

2. Automatic modulation classification using combination of genetic programming and KNN;IEEE Transactions on Wireless Communications,2012

3. Using feedback and reinforcement to improve the performance and safety of a roofing crew;Journal of Organizational Behavior Management,1996

4. Wearable technology for personalized construction safety monitoring and trending: review of applicable devices;Automation in Construction,2018

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