Developing capabilities for supply chain resilience in a post-COVID world: A machine learning-based thematic analysis-Reference-Cited by-同舟云学术

Developing capabilities for supply chain resilience in a post-COVID world: A machine learning-based thematic analysis

Published:2023-03-28 Issue:12 Volume:55 Page:1256-1276
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Li Dun¹,Zhi Bangdong²^ORCID,Schoenherr Tobias³^ORCID,Wang Xiaojun⁴

Affiliation:

1. Management School, Guizhou University, China

2. Business School, University of Bristol, Bristol, UK

3. Broad College of Business, Michigan State University, East Lansing, MI, USA

4. Birmingham Business School, University of Birmingham, Birmingham, UK

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2023.2176951

Reference177 articles.

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2. Towards a theory of informal supply networks: An exploratory case study of the Za'atari refugee camp

3. Did COVID-19 change the rules of the game for supply chain resilience? The effects of learning culture and supplier trust

4. Analysing supply chain resilience: integrating the constructs in a concept mapping framework via a systematic literature review

5. Where is supply chain resilience research heading? A systematic and co-occurrence analysis

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