A linear regression approach to evaluate the green supply chain management impact on industrial organizational performance Ubaidullah Mumtaz a , Yousaf Ali b , Antonella Petrillo c, ⁎ a Master in Engineering Management, Faculty of Management Sciences, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan b Department of Management Science & Humanities, Ghulam Ishaq Khan Institute of Engineering Sciences & Technology, Topi, Swabi, KPK, Pakistan c University of Naples “Parthenope”, Department of Engineering, Isola C4, Centro Direzionale Napoli, Italy HIGHLIGHTS • Developed a linear regression frame- work regarding GSCM and firm perfor- mance • Provided empirical evidence on rela- tionship between GSCM and perfor- mance practices • Analysis of GSCM practices in the indus- trial sector of Pakistan • Findings of this paper show that GSCM leads to green innovation. GRAPHICAL ABSTRACT abstract article info Article history: Received 15 October 2017 Received in revised form 7 December 2017 Accepted 7 December 2017 Available online xxxx Editor: D. Barcelo The increase in the environmental pollution is one of the most important topic in today's world. In this context, the industrial activities can pose a significant threat to the environment. To manage problems associate to indus- trial activities several methods, techniques and approaches have been developed. Green supply chain manage- ment (GSCM) is considered one of the most important “environmental management approach”. In developing countries such as Pakistan the implementation of GSCM practices is still in its initial stages. Lack of knowledge about its effects on economic performance is the reason because of industries fear to implement these practices. The aim of this research is to perceive the effects of GSCM practices on organizational performance in Pakistan. In this research the GSCM practices considered are: internal practices, external practices, investment recovery and eco- design. While, the performance parameters considered are: environmental pollution, operational cost and organizational flexibility. A set of hypothesis propose the effect of each GSCM practice on the performance param- eters. Factor analysis and linear regression are used to analyze the survey data of Pakistani industries, in order to authenticate these hypotheses. The findings of this research indicate a decrease in environmental pollution and operational cost with the implementation of GSCM practices, whereas organizational flexibility has not improved for Pakistani industries. These results aim to help managers regarding their decision of implementing GSCM practices in the industrial sector of Pakistan. © 2017 Elsevier B.V. All rights reserved. Keywords: Green supply chain management (GSCM) Developing country Environmental pollution Economic development Organizational performance Pakistan Science of the Total Environment 624 (2018) 162–169 ⁎ Corresponding author. E-mail addresses: yousafkhan@giki.edu.pk (Y. Ali), antonella.petrillo@uniparthenope.it (A. Petrillo). https://doi.org/10.1016/j.scitotenv.2017.12.089 0048-9697/© 2017 Elsevier B.V. All rights reserved. Contents lists available at ScienceDirect Science of the Total Environment journal homepage: www.elsevier.com/locate/scitotenv