Antecedents of organizational citizenship behavior towards the environment in manufacturing organizations: using a structural equation modeling approach

Abstract

PurposeOrganizations worldwide are integrating sustainability into their operations to reduce the damage they do to the environment and to earn a better reputation in society. Scholars have acknowledged the role of environmental transformational leadership (ETL) in creating pro-environmental behaviors (PEBs). The manufacturing sector has shown interest in accepting an environmental management system (EMS) and fostering a mechanism for what is called perceived support organizational support for the environment (POSE). Voluntary PEBs taking the form of organizational citizenship behavior toward the environment (OCBE) increasingly interests researchers because it is important for the success of the EMS in the manufacturing sector. This study aims to investigate the mediating role of the EMS and POSE in the relationship between ETL and OCBE within ISO14001-certified Malaysian manufacturing firms.Design/methodology/approachA quantitative design was used based on a positivist approach. The data of 216 manufacturing firms were targeted using random probability sampling via a survey questionnaire. Later, the data were analyzed through the structural equation modeling (SEM) method using the SmartPLS 3.3.3 software.FindingsResearch findings confirmed a significant direct positive relationship between ETL and OCBE. Also, they confirmed the mediating role of the EMS and POSE in the relationship between ETL and OCBE among ISO14001-certified Malaysian manufacturing firms.Research limitations/implicationsThis research has vital ramifications for both managers and organizations. Manufacturing firms should modify the traditional OCB towards pro-environmental OCBE using key antecedents, e.g. ETL, EMS and POSE.Originality/valueThe study analyzed the impact of ETL on OCBE through the mediating role of PSOE and the EMS. Here the focus is on the impact of OCBE key antecedents, i.e. ETL, EMS and POSE in predicting OCBE among ISO14001-certified Malaysian manufacturing firms.