Perceptions of environmental management systems: An examination of the Mexican manufacturing sector

Abstract

Purpose

Over the last several years, there has been a significant increase worldwide in the implementation of environmental management systems (EMS). Yet, few studies have provided feedback on managerial views of key components and performance of these systems. The purpose of this paper is to examine variations in perceptions of a number of environmental and human resource constructs that are operationalized and measured in the field at Mexican maquiladoras. Differences between organizations with a certified EMS, informal EMS, and no EMS are examined.

Design/methodology/approach

A survey was administered to 220 manufacturing organizations in Mexico. The survey instrument was self‐report format with attitudinal variables. Items were adopted from previously published scales. A global hypothesis was proposed in order to test the difference between groups across multiple dependent variables. A MANCOVA and post hoc MANOVA were used to simultaneously evaluate the difference among the multiple metric dependent variables in this study.

Findings

The paper found that significant facility differences existed for all environmental management practices and perceived environmental performance across all levels of EMS, with certified EMS facilities being the highest, informal EMS facilities being second and facilities with no EMS being lowest.

Originality/value

This study contributes to both theory and practice. First, it extends the literature related to EMS and environmental and human resource constructs. Second, it tests the role of EMS certification in firm environmental management. Third, the study is the first to compare EMS differences among firms in the Mexican manufacturing sector. Finally, the study has relevant implications for practitioners.

Citation

Massoud, J.A., Daily, B.F. and Bishop, J.W. (2011), "Perceptions of environmental management systems: An examination of the Mexican manufacturing sector", Industrial Management & Data Systems, Vol. 111 No. 1, pp. 5-19. https://doi.org/10.1108/02635571111099703