Emerging Technologies and Smart Supply Chain Management: A Roadmap for Future Success
Syed Ahsan Ali Zaman (),
Habiba Qazi,
Arooba Zafar and
Yushi Jiang
Additional contact information
Syed Ahsan Ali Zaman: School of Economics and Business, Digitalization Research Group
Habiba Qazi: Jinnah University for Women
Arooba Zafar: Jinnah University for Women
Yushi Jiang: Southwest Jiaotong University
Chapter Chapter 8 in Smart Supply Chain Management, 2025, pp 135-156 from Springer
Abstract:
Abstract New practices, tools, and technologies are revolutionizing supply chain operations, making them more efficient. Cutting-edge technologies such as AI, blockchain, big data, and augmented reality enhance supply chain management procedures. Supply chain organizations are leveraging these technologies to optimize inventory levels, implement smart contracting, enhance traceability and visibility, increase process speed, and improve transparency. This book chapter investigates the technological revolution poised to give supply chain management a competitive edge. It also explores how outdated systems can be modernized and integrated with advanced technology portfolios. Over the next three to five years, digital and advanced supply chain management technologies will assist people with settling on better choices or decision-making. The study examines the impact of past industrial revolutions on the supply chain industry and how they have paved the way for the current technological revolution. It explores the potential opportunities and challenges of the current technological revolution and provides recommendations for organizations to embrace these changes and remain competitive.
Keywords: Industrial revolutions; Technological advancements; Digital supply chain; Industry 4.0 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-96-1333-5_8
Ordering information: This item can be ordered from
http://www.springer.com/9789819613335
DOI: 10.1007/978-981-96-1333-5_8
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().