Journal
SUSTAINABILITY
Volume 13, Issue 8, Pages -Publisher
MDPI
DOI: 10.3390/su13084212
Keywords
safety climate; relative importance analysis; analytical hierarchical process (AHP); safety management
Funding
- National Research Foundation of Korea (NRF) - Korea government (MOE) [2017R1D1A1B04033761]
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Studies have shown that improving safety climate quality positively impacts reducing accidents. Managing all areas at a high level in companies is challenging due to limited resources, hence the need for a step-by-step strategy to enhance safety climate, analyze factors' relative importance using AHP, and allocate resources accordingly. The study aims to derive the relative priorities of safety climate evaluation factors, with an emphasis on worker safety priority and compliance with safety regulations as crucial dimensions.
Various studies have confirmed that the increasing quality of safety climate has a positive influence on reducing the occurrence of accidents. The quality of safety climate is comprehensively affected in three domains: management, site, and enterprise. At the company level, it is challenging to manage all areas at a high level due to limited managerial resources. Therefore, it is necessary to establish a strategy that improves the safety climate step by step. For the efficient execution of the strategy, it is necessary to analyze the relative importance of each evaluation factor of the safety climate and allocate managerial resources accordingly. Therefore, this study aims to analyze the relative importance of safety climate evaluation factors using the analytical hierarchical process (AHP) technique. For this study, AHP questionnaire and analysis are conducted, and the relative priorities of safety climate evaluation factors are derived. As a result, (E) workers' safety priority and risk non-acceptance is the most important dimension among seven dimensions as the weight is 0.1900. In addition, (E1) compliance with safety regulations, even if the process is tight, is the most important one between items as the weight 0.6663. The results of this study will be used as basic data for institutional improvement and policy making for a high-quality safety climate at construction sites.
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