Mapping supply chain collaboration research: a machine learning-based literature review-Reference-Cited by-同舟云学术

Mapping supply chain collaboration research: a machine learning-based literature review

Published:2021-11-09 Issue: Volume: Page:1-29
ISSN:1367-5567
Container-title:International Journal of Logistics Research and Applications
language:en
Short-container-title:International Journal of Logistics Research and Applications

Author:

Nitsche Anna-Maria¹²^ORCID,Schumann Christian-Andreas²,Franczyk Bogdan¹³^ORCID,Reuther Kevin¹⁴^ORCID

Affiliation:

1. Faculty of Economics and Management Science, University of Leipzig, Leipzig, Germany

2. Faculty of Business and Economics, University of Applied Sciences Zwickau, Zwickau, Germany

3. Department of Information Systems, Wrocław University of Economics, Wrocław, Poland

4. Fraunhofer Center for International Management and Knowledge Economy IMW, Leipzig, Germany

Funder

Ministry of Finance, Industry and Competitiveness and the European Social Fund

Research and Development Management Association

Publisher

Informa UK Limited

Subject

Management Science and Operations Research,Management Information Systems,Business and International Management,Strategy and Management,Management of Technology and Innovation

Link

https://www.tandfonline.com/doi/pdf/10.1080/13675567.2021.2001446

Reference165 articles.

1. Developing environmentally sustainable logistics

2. The relationships between corporate social responsibility, environmental supplier development, and firm performance

3. Assessing the social sustainability of supply chains using Best Worst Method

4. Collaboration in the last mile: evidence from grocery deliveries

5. The moderating role of trust in business to business electronic commerce (B2B EC) adoption

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