안전점검단-현장 안전관리자의 교환관계(LMX)가 안전풍토를 매개로 안전행동에 미치는 영향

Abstract

Nominated safety inspectors tend to rely on Leader - Member relationship to the work site because they can handle safety management task to inspect and order guidelines to compensate the defect with their superior. Therefore, in this study, it is aimed at implication deduction for safety and improvement in the construction site, to analyse the exchange relationship between safety inspectors and site safety manager(LMX), which affects the safety behaviour as a mediate in the safety climate. This study was analysed exploratory factor analysis and Chronbach’s Alpha value to secure validity of scale and reliability using SPSS 26ver, PROCESS macro for SPSS program, performed analysis of frequency, description analysis and correlation analysis to verify and conducted mediated effect to verify research model through PROCESS macro 4 model. The similarity of mediated effect was confirmed by Bootstrapping-test, if zero is not included between lower bounds and upper bounds, the result value would be significant by applying the criterion, and the mediated effect evaluated the significance. As the result proved the significance that the higher level of LMX between safety inspectors and site safety managers make the safety climate, the more safety behaviour improve, it was also confirmed the mediated effect to be significant. Based on the result, this study suggests that the necessity of safety supervision system to enlarge communication and cooperation between safety inspectors and site safety managers, to enhance safety climate on the site which can upgrade two-way communications for practice on safety. This study places significance when it comes to the implication that introducing LMX concept between safety inspectors and site safety manager to increase safety climate and safety behaviour. Moreover, it analyses the intrinsic cause to interrupt collaboration through having depth interview to safety inspectors and site safety managers, discusses the necessary for the following research that analyses objective data which rely not on self report criterion, but on real accident rate.