IMPLEMENTING ISO 14001 and ENVIRONMENTAL PERFORMANCE EVALUATION: A LOGISTIC REGRESSION MODEL

Abstract

Due to the growing popularity of environmental management systems and the ongoing debate among practitioners and researchers concerning the influence of environmental management systems on environmental performance, there is a need to assess how the implemented environmental management systems impact the environment. The current study examines the relationship between the guidelines provided by the ISO 14031 and ISO 14001 standards from three aspects, namely, utilizing information and data, planning for environmental performance and reviewing and improving environmental performance. This study will utilize a binary logistic regression to model and analyse the link between ISO 14001 and ISO 14031 using a 7-point Likert scale questionnaire. A total of 590 companies operating within the Saudi Arabia industrial sector were invited to take part in the study. The collection of data using questionnaires lasted from January to March 2019, and the results were analysed and compared with those of related studies. The model included a dependent variable representing whether the company is certified or not for ISO 14001 and 13 independent variables representing the main ISO 14031 guidelines. The research findings revealed that the developed model predicts 92.8% of the values, and the remaining 7.2% of the values are not covered. Thirteen independent variables were positively correlated with the dependent variable, indicating that the company is certified. The results of this study contribute significantly to the determination of the relationship between environmental performance and ISO 14001 certification.