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Artificial Intelligence in Supply Chain Management - Between Aspiration and Reality

Series
Künstliche Intelligenz & Digitalisierung
ISBN
9783736978812
Type
book
Date Issued
2023-10-06
Author(s)
Calvin Klein  
;
Falk Vinzenz Sandfort  
Abstract
As Artificial Intelligence (AI) continues to revolutionize industries worldwide, its omnipresence becomes increasingly evident in Supply Chain Management (SCM). This Consortium Study, conducted by the Institute of Supply Chain Management (ISCM-HSG) at the University of St.Gallen and its promotional association, examines the integration of AI in SCM and aims to address the gap between expectations and reality. The study provides a knowledge foundation to assist supply chain managers in developing realistic expectations of this technology. Considering the rapid advancement of AI technologies and their potential impact on SCM, this study explores the current state of AI in SCM and analyzes the disparity between expectations and reality. Through a comprehensive market analysis of AI solutions offered in SCM, opportunities for improvement are identified. The study focuses on aligning expectations and reality by fostering a better understanding of the capabilities of AI in SCM. Additionally, the study investigates obstacles to successful AI integration, including data quality, integration challenges, and unrealistic expectations of potential benefits. Through the collaborative efforts of the participating organizations, this Consortium Study offers a collective understanding of the current state of AI in SCM. It serves as a valuable resource for industry professionals, and academia facilitating the successful integration of AI and driving operational excellence in SCM.
Funding(s)
Promotional Association of the Institute of Supply Chain Management at the University of St.Gallen
Language
English
HSG Classification
contribution to practical use / society
Publisher
Cuvillier Verlag
Publisher place
Göttingen
Volume
6
Pages
98
Official URL
https://cuvillier.de/de/shop/publications/8910-artificial-intelligence-in-supply-chain-management
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/118542
Division(s)

ISCM - Institute of S...

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Table of Contents

Size

543.04 KB

Format

Adobe PDF

Checksum (MD5)

c12ed99c23ee736ff3248320947bdb32

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