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,2015,4,3,195-205.
Published:September 2015
Type:Review Article

Information Processing and Management using Citation Network and Keyword Analysis to Perform A Systematic Literature Review on Green Supply Chain Management

Fernanda Strozzi*, Claudia Colicchia1

Department of Integrated Business Management, Carlo Cattaneo University ‑ LIUC, Castellanza, Italy,

1Hull University Business School, Logistics Institute, University of Hull, Hull, UK

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.

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Cite this Article

Strozzi F, Colicchia C. 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. 2015;4(3):195-205. doi:10.4103/2320-0057.174860.