An analysis of metrics used to measure performance in green and sustainable supply chains. (1st January 2015)

• Record Type: Journal Article
• Authors: Ahi, Payman; Searcy, Cory
• Is Part Of: Journal of cleaner production. Volume 86(2015:Jan. 01)
• Page Start: 360
• Page End: 377
• Publication Date: 2015-01-01
• Subjects: Metrics -- Indicators -- Performance measures -- Sustainable supply chain management (SSCM) -- Green supply chain management (GSCM); Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2014.08.005
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: The purpose of this study is to identify and analyze the metrics that have been published in the literature on green supply chain management (GSCM) and sustainable supply chain management (SSCM). The metrics were identified based on a structured content analysis of 445 articles published up to the end of 2012. A total of 2555 unique metrics were identified. The majority of the metrics were used only once, which indicates a lack of agreement on how performance should be measured in these areas. Five metrics were used more than 20 times: quality (31 times), air emissions (28), greenhouse gas emissions (24), energy use (24), and energy consumption (21). As highlighted in that list, multiple metrics were used to measure similar issues in many cases. For example, a detailed analysis showed that 76 different metrics were identified for issues focusing on water. As a part of the analysis conducted, each metric was classified according to 13 key characteristics of SSCM drawn from the literature. The analysis showed that environmental issues were represented to the greatest extent. Over one-third of the identified metrics were classified as cross-cutting metrics, meaning that they addressed more than one key characteristic of SSCM. Based on the analysis conducted, an original conceptual framework for structuring the development of metrics in GSCM and SSCM is presented. This paper presents one of the first in-depth investigations of the use of metrics in GSCM and SSCM. It is anticipated that the analysis and framework will provide a strong basis for future academic and practitioner work.