The role of Big Data in explaining disaster resilience in supply chains for sustainability

JOURNAL OF CLEANER PRODUCTION

卷:142

Article

Papadopoulos, Thanos¹  Gunasekaran, Angappa²  Dubey, Rameshwar³  Altay, Nezih⁴  Childe, Stephen J.⁵  Fosso-Wamba, Samuel⁶ 

[1] Univ Kent, Sail & Colour Loft, Kent Business Sch, Hist Dockyard, Chatham ME4 4TE, Kent, England

[2] Univ Massachusetts Dartmouth, Charlton Coll Business, N Dartmouth, MA 02747 USA

[3] Symbiosis Inst Operat Management, Shravan Sect, Plot A-23, Cidco 422008, New Nashik, India

[4] Depaul Univ, Driehaus Coll Business, 1 East Jackson Blvd,Suite 7000, Chicago, IL 60604 USA

[5] Univ Plymouth, Plymouth Business Sch, Plymouth PL4 8AA, Devon, England

[6] Neoma Business Sch, BP 215, F-76825 Rouen, France

关键词: Resilience;    Big Data;    Sustainability;    Disaster;    Exploratory factor analysis;    Confirmatory factor analysis;   

DOI  :  10.1016/j.jclepro.2016.03.059

来源: Elsevier

【 摘 要 】

The purpose of this paper is to propose and test a theoretical framework to explain resilience in supply chain networks for sustainability using unstructured Big Data, based upon 36,422 items gathered in the form of tweets, news, Facebook, WordPress, Instagram, Google+, and YouTube, and structured data, via responses from 205 managers involved in disaster relief activities in the aftermath of Nepal earthquake in 2015. The paper uses Big Data analysis, followed by a survey which was analyzed using content analysis and confirmatory factor analysis (CFA). The results of the analysis suggest that swift trust, information sharing and public private partnership are critical enablers of resilience in supply chain networks. The current study used cross-sectional data. However the hypotheses of the study can be tested using longitudinal data to attempt to establish causality. The article advances the literature on resilience in disaster supply chain networks for sustainability in that (i) it suggests the use of Big Data analysis to propose and test particular frameworks in the context of resilient supply chains that enable sustainability; (ii) it argues that swift trust, public private partnerships, and quality information sharing link to resilience in supply chain networks; and (iii) it uses the context of Nepal, at the moment of the disaster relief activities to provide contemporaneous perceptions of the phenomenon as it takes place. (C) 2016 Published by Elsevier Ltd.

【 授权许可】

Free