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ArticleGenerating a causal model of supply chain collaboration using the fuzzy DEMATEL technique

Don Jyh‐Fu Jeng2015

Article2015

Generating a causal model of supply chain collaboration using the fuzzy DEMATEL technique

Don Jyh‐Fu Jeng

83 citations·0/0 files stored·Computers & Industrial Engineering

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Quality and Supply Management Multi-Criteria Decision Making Sustainable Supply Chain Management

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References

1994The Commitment-Trust Theory of Relationship Marketing 1987The Economic Institutions of Capitalism 1986The Economic Institutions of Capitalism 1997An Examination of the Nature of Trust in Buyer-Seller Relationships 2007Decision Making in a Fuzzy Environment 1988The Confucius connection: From cultural roots to economic growth 1992The Use of Pledges to Build and Sustain Commitment in Distribution Channels 1999Measuring supply chain performance

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2019Are collaboration and trust sources for innovation in the reverse logistics? Insights from a systematic literature review 2020Analysis of factors affecting project communications with a hybrid DEMATEL-ISM approach (A case study in Iran)2022Outsourcing logistics operations in circular economy towards to sustainable development goals 2020Modeling social sustainability in construction projects by integrating system dynamics and fuzzy‐DEMATEL method: a case study of highway project 2015Strategic project portfolio selection for national research institutes

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Details

Year2015

Typearticle

Published2015-05-14

VenueComputers & Industrial Engineering

ISSN-L0360-8352

Languageen

Citations83

Files0 public / 0

ShelfQuality and Supply Management

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doi10.1016/j.cie.2015.05.007

openalex_workW2178189519

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2022A causality analysis of risks to perishable product supply chain networks during the COVID-19 outbreak era: An extended DEMATEL method under Pythagorean fuzzy environment

2021Analysis and evaluation of challenges in the integration of Industry 4.0 and sustainable steel reverse logistics network

2021Analysis of the barriers to implementing horizontal collaborative transport using a hybrid fuzzy Delphi-AHP approach