Critical analysis of the impact of big data analytics on supply chain operations-Reference-Cited by-同舟云学术

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Critical analysis of the impact of big data analytics on supply chain operations

Published:2022-05-16 Issue: Volume: Page:1-25
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

Hasan Ruaa¹,Kamal Muhammad Mustafa¹,Daowd Ahmad²,Eldabi Tillal³,Koliousis Ioannis⁴,Papadopoulos Thanos⁵

Affiliation:

1. School of Strategy and Leadership, Coventry University, Coventry, UK

2. Strategy and Management, University of Bedfordshire, Luton, UK

3. Business School, University of Surrey, Guildford, Surrey, UK

4. School of Management, Cranfield University, Cranfield, UK

5. Kent Business School, University of Kent, Canterbury, Kent, 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/10.1080/09537287.2022.2047237

Reference168 articles.

1. Big data applications in operations/supply-chain management: A literature review

2. A cloud based job sequencing with sequence-dependent setup for sheet metal manufacturing

3. Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality

4. Big Data and Predictive Analysis is Key to Superior Supply Chain Performance

5. Leveraging big data analytics capabilities in making reverse logistics decisions and improving remanufacturing performance

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3. The Confluence of AI and Big Data Analytics in Industry 4.0: Fostering Sustainable Strategic Development;Journal of the Knowledge Economy;2024-07-01

4. How can firms implement smart manufacturing through supply chain collaboration? A multiple-case study from China;Production Planning & Control;2024-06-11

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