Information processing and management using citation network and keyword analysis to perform a systematic literature review on green supply chain management

Strozzi, Fernanda; Colicchia, Claudia

Abstract

The field of Green Supply Chain Management (GSCM) has recently gained considerable attention from both academics and practitioners. This has caused an exponential growth in the number of publications related to different aspects of sustainability in the supply chain. This study aims to show information processing and management techniques, to reveal the evolution of a field over time and identify directions for future research. In particular, this paper is intended to provide a systematic literature review using citation network and the analysis of words in titles and author keyword through burst detection algorithm. Crossing the results of the citation network and burst detection algorithm it was possible to monitor the evolution of the sustainability drivers and to identify the necessity of new key performance indicators of sustainability, able to integrate the economic, environmental and social dimensions, internally within the organization, and externally among the supply chain partners. The contribution of this study lies in the adoption of a blind methodology to analyze theory development which have not been yet applied to the field of GSCM but proved to be useful and promising.

Citation

Strozzi, F., & Colicchia, C. (2015). Information processing and management using citation network and keyword analysis to perform a systematic literature review on green supply chain management. Journal of Scientometric Research JSCIRES ; official publication of SciBiolMed.Org, 4(3), 195-205. https://doi.org/10.4103/2320-0057.174860

• Journal Article Type: Review
• Acceptance Date: Feb 1, 2015
• Online Publication Date: Sep 1, 2015
• Publication Date: 2015
• Deposit Date: Jul 26, 2016
• Publicly Available Date: Jul 26, 2016
• Journal: Journal of scientometric research
• Print ISSN: 2320-0057
• Peer Reviewed: Peer Reviewed
• Volume: 4
• Issue: 3
• Pages: 195-205
• DOI: https://doi.org/10.4103/2320-0057.174860
• Keywords: Burst detection algorithm, Citation network analysis, Green supply chain management, Main path analysis
• Public URL: https://hull-repository.worktribe.com/output/441740
• Publisher URL: http://www.jscires.org/article/112
• Additional Information: Copy of article first published in: Journal of scientometric research, 2015, v.4, issue 3