Abstract:
The research objectives were to construct an environmental security perception
model in the dyeing industry and to verify the constructed model with empirical
evidence. The population samples of this study were personnel in dyeing industry in
Samuthsakorn Industrial Estates. The actual sample size was 311 people.
The developed model consisted of three latent variables: namely,
environmental education perception, environmental management perception and
environmental security perception.
The Lisrel 8.72 program was used to analyze statistics with latent variables.
Results of the research indicated that the environmental security perception
model in the dyeing industry corresponded to the factual observations. The model
explained variations of variables in the perception of environmental security up to 86
percent accuracy.
The goodness of fit statistics was rated high with Chi-Square index = 11.87, df
= 13, p = 0.54, RMSEA = 0.00, GFI = 0.99, IFI = 1.00, CFI = 1.00, Normed Chi-
Square = 0.91, CAIC = 227.55 and Saturated CAIC = 303.29
The latent variable of environmental education perception had a direct positive
relationship with the latent variable of environmental security perception and
indirectly influenced the latent variable of environmental management perception.
The latent variable of environmental management perception also had a direct
positive relationship with the latent variable of environmental security perception.
The observed variable of environmental education perception had factor
loading with knowledge = 1.00, skill = 0.82, awareness = 0.80, participation = 0.80
and attitude = 0.62
The observed variable of environmental management perception had factor
loading with monitoring and measurement = 1.00, objectives and targets = 0.90,
operational control = 0.87, corrective and preventive action = 0.85, environmental plan
= 0.81, environmental policy = 0.80, structure and responsibility = 0.67, emergency
preparedness and response = 0.57, environmental management review = 0.55
The observed variable of environmental security perception had factor loading
with health and safety = 1.00, wastewater = 0.90, electricity usage = 0.88, fuel usage =
0.88, water usage = 0.86, raw material usage = 0.86, air pollution = 0.51, odor = 0.43,
toxic pollutant = 0.42 and noise = 0.19
The constructed model from this research can be applied for the assessment
and development within environmental works in the dyeing industry.
Recommendations for future research are comparative performance indicators
between organizations with the goal of improving work performance in the dyeing
industry.