Contagion mechanism of unsafe behavior information in groups of construction workers

doi:10.16265/j.cnki.issn1003-3033.2024.01.2491

Abstract

Abstract:

In order to explore the contagion mechanism and effect of unsafe behavior information in groups of construction workers, a theoretical model of the contagion mechanism of unsafe behavior information among construction workers was constructed based on social information processing theory, theory of planned behavior, and social contagion theory. In this model, information about workmates' unsafe behaviors was served as the independent variable, and behavioral cognitive factors (i.e. behavioral attitudes, subjective norms, and perceived behavioral control) and unsafe behavioral intentions were served as mediating variables. Through developing measurement scales and creating questionnaires to collect data, the theoretical model was empirically tested based on 271 valid samples using the analysis methods of confirmatory factor analysis and structural equation modeling. The results show that workmates' intentional unsafe behaviors and workmates' unsafe communication behaviors can induce new unsafe behaviors through six contagious pathways. Moreover, as a source of contagion, the contagion effect of workmates' intentional unsafe behaviors is greater than that of workmates' unsafe communication behaviors. Managers can effectively control the contagion effect of unsafe behavior information among construction workers by controlling contagion information sources and weakening infectious media.

Key words: unsafe behavior information, construction workers, contagion mechanism, intentional unsafe behavior, unsafe communication behavior

CLC Number:

X913.2安全信息论

NI Guodong, YANG Li, AN Yaoyao, ZHENG Yuzhuo. Contagion mechanism of unsafe behavior information in groups of construction workers[J]. China Safety Science Journal, 2024, 34(1): 43-52.

Figures/Tables 8

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统计学变量	类型	样本量	占比/%
性别	男	241	88.9
性别	女	30	11.1
年龄/岁	16~20	5	1.8
	21~30	78	28.8
	31~42	124	45.8
	43~50	38	14.0
	51~60	26	9.6
婚姻状况	未婚	65	24.0
婚姻状况	已婚	206	76.0
受教育程度	小学及以下	14	5.2
	初中	107	39.5
	中专/职高/技校	64	23.6
	高中	49	18.1
	大专	37	13.6
工作年限/a	≤5	99	36.5
	(5,10]	78	28.8
	(10,15]	55	20.3
	(15,20]	17	6.3
	>20	22	8.1

变量	题项	FL	CR	AVE
IUB	IUB1	0.781	0.932	0.734
	IUB2	0.907
	IUB3	0.847
	IUB4	0.907
	IUB5	0.834
UCB	UCB1	0.752	0.890	0.731
	UCB2	0.895
	UCB3	0.909
BA	BA1	0.738	0.837	0.566
	BA2	0.854
	BA3	0.802
	BA4	0.601
SN	SN1	0.766	0.911	0.720
	SN2	0.862
	SN3	0.890
	SN4	0.870
PBC	PBC1	0.788	0.833	0.628
	PBC2	0.674
	PBC3	0.899
UBI	UBI1	0.793	0.919	0.792
	UBI2	0.713
	UBI3	0.956
UB	UB1	0.868	0.956	0.814
	UB2	0.876
	UB3	0.916
	UB4	0.919
	UB5	0.931

变量	IUB	UBI	PBC	SN	BA	UCB	UB
IUB	0.902	—	—	—	—	—	—
UBI	0.635^**	0.890	—	—	—	—	—
PBC	0.357^**	0.366^**	0.792	—	—	—	—
SN	0.542^**	0.566^**	0.257^**	0.849	—	—	—
BA	0.468^**	0.497^**	0.210^**	0.562^**	0.752	—	—
UCB	0.497^**	0.510^**	0.206^**	0.648^**	0.634^**	0.855	—
UB	0.533^**	0.508^**	0.248^**	0.705^**	0.553^**	0.725^**	0.857

中介效应	估计值	95%置信区间下限	95%置信区间上限	结论
IUB-BA-UBI-UB	0.141	0.014	0.335	显著
IUB-SN-UBI-UB	0.376	0.003	0.081	显著
IUB-PBC-UBI-UB	0.151	0.002	0.036	显著
IUB-PBC-UB	0.034	0.001	0.078	显著
UCB-BA-UBI-UB	0.030	0.007	0.063	显著
UCB-SN-UBI-UB	0.020	0.001	0.059	显著
UCB-PBC-UBI-UB	0.007	-0.005	0.024	不显著
UCB-PBC-UB	0.029	-0.112	0.110	不显著

不安全行为信息	传染路径	各路径传染效应	传染源的传染效应	传染总效应
IUB	①IUB→BA→UBI→UB	0.024	0.225	0.351
	②IUB→SN→UBI→UB	0.104
	③IUB→PBC→UBI→UB	0.036
	④IUB→PBC→UB	0.060
UCB	①UCB→BA→UBI→UB	0.061	0.126
UCB	②UCB→SN→UBI→UB	0.065	0.126