Toward sustainability: using big data to explore the decisive attributes of supply chain risks and uncertainties

Journal of Cleaner Production

Volumn 142, Issue , 2017, Pages 663-676

  Wu, Kuo Jui ^a   Liao, Ching Jong ^b   Tseng, Ming Lang ^c   Lim, Ming K ^d   Hu, Jiayao ^e   Tan, Kimhua ^e  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^c LUNGHWA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^d Faculty of Engineering and Computing   (United Kingdom)

^e NOTTINGHAM UNIVERSITY BUSINESS SCHOOL   (United Kingdom)

Author keywords

Big data; Decision Making Trial and Evaluation Laboratory (DEMATEL); Delphi method; Supply chain risks and uncertainties; Sustainability indicators

Indexed keywords

DECISION MAKING; LIGHT EMITTING DIODES; METADATA; SUPPLY CHAINS; SUSTAINABLE DEVELOPMENT;

CAUSAL RELATIONSHIPS; DECISION MAKING TRIAL AND EVALUATION LABORATORIES; DELPHI METHOD; FIRM CAPABILITIES; GREY DECISION MAKING; RISKS AND UNCERTAINTIES; SUPPLY CHAIN RISK; SUSTAINABILITY INDICATORS;

BIG DATA;

EID: 84964658336     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2016.04.040     Document Type: Article

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