Researched topics, patterns, barriers and enablers of artificial intelligence implementation in supply chain: a Latent-Dirichlet-allocation-based topic-modelling and expert validation-Reference-Cited by-同舟云学术

Researched topics, patterns, barriers and enablers of artificial intelligence implementation in supply chain: a Latent-Dirichlet-allocation-based topic-modelling and expert validation

Published:2023-12-04 Issue: Volume: Page:1-28
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

Riahi Youssra¹^ORCID,Saikouk Tarik²^ORCID,Badraoui Ismail³^ORCID,Fosso Wamba Samuel⁴^ORCID

Affiliation:

1. Rabat Business School, International University of Rabat, Rabat, Morocco

2. Excelia Business School, CERIIM La Rochelle, France

3. College of Engineering, department of engineering management, Abu Dhabi University, Abu Dhabi, UAE

4. Associate Dean for Research, TBS Business School, France

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/09537287.2023.2286523

Reference146 articles.

1. Predicting solutions of large-scale optimization problems via machine learning: A case study in blood supply chain management

2. The role of supply chain analytics capability and adaptation in unlocking value from supply chain relationships

3. A systematic review of machine learning in logistics and supply chain management: current trends and future directions

4. Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review

5. Mapping the Topic Landscape of JPIM , 1984-2013: In Search of Hidden Structures and Development Trajectories

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