Industry experiences of artificial intelligence (AI): benefits and challenges in operations and supply chain management-Reference-Cited by-同舟云学术

Industry experiences of artificial intelligence (AI): benefits and challenges in operations and supply chain management

Published:2021-04-16 Issue: Volume: Page:1-13
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

Fosso Wamba Samuel¹^ORCID,Queiroz Maciel M.²^ORCID,Guthrie Cameron¹^ORCID,Braganza Ashley³^ORCID

Affiliation:

1. Information, Operations and Management Sciences, TBS Business School, Toulouse, France

2. Postgraduate Program in Business Administration, Paulista University – UNIP, São Paulo, Brazil

3. College of Business, Arts and Social Sciences, Brunel Business School, Uxbridge, UK

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/10.1080/09537287.2021.1882695

Reference15 articles.

1. Deloitte. 2020. “The window for AI competitive advantage is narrowing how can AI adopters keep their edge?” https://www2.deloitte.com/us/en/insights/industry/technology/ai-competitive-advantage-narrowing.html.

2. The impact of emerging and disruptive technologies on freight transportation in the digital era: current state and future trends

3. Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations

4. Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

5. Ernst & Young. 2020. “How AI is automating intelligently.” https://www.ey.com/en_gl/consulting/how-ai-is-automating-intelligently.

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Digitally powered solution delivery: The use of IoT and AI for transitioning towards a solution business model;International Journal of Production Economics;2024-11

2. A review on unsupervised learning algorithms and applications in supply chain management;International Journal of Production Research;2024-08-19

3. Enhancing Supply Chain: Exploring and Exploiting AI Capabilities;Journal of Computer Information Systems;2024-08-08

4. Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities;Applied Sciences;2024-07-09

5. A systematic literature review of logistics services outsourcing;Heliyon;2024-07