Value of artificial intelligence in purchasing and supply management

PDF
20240315_Dissertation_Value of artificial intelligence in purchasing and supply management_Mannheim_Spreitzenbarth_Jan_Final.pdf - Veröffentlichte Version
Download (5MB)

URN:	urn:nbn:de:bsz:180-madoc-673664
Dokumenttyp:	Dissertation
Erscheinungsjahr:	2024
Ort der Veröffentlichung:	Mannheim
Hochschule:	University of Mannheim
Gutachter:	Bode, Christoph
Datum der mündl. Prüfung:	15 März 2024
Sprache der Veröffentlichung:	Englisch
Einrichtung:	Fakultät für Betriebswirtschaftslehre > Stiftungslehrstuhl für Procurement (Bode 2014-)
Lizenz:	Creative Commons Namensnennung 4.0 International (CC BY 4.0)
Fachgebiet:	004 Informatik 650 Management
Freie Schlagwörter (Englisch):	artificial intelligence , AI , procurement , purchasing and supply management , PSM , digital transformation , operations and supply chain management
Abstract:	Artificial intelligence is a key technology for purchasing and supply management and its usage is still in a nascent stage. For instance, the Volkswagen "Procurement Strategy 2030" stresses its potential to optimize processes and structures - and this applies to the automotive industry and other organizations worldwide. The successful integration of artificial intelligence technologies into operations and supply chains has been limited to a few organizations so far, yet literature and practical applications are gradually emerging. This constitutes a research opportunity on how artificial intelligence increases the value procurement can provide to the organization. Thus, the goal of the doctoral research is to examine and exploit ideas on how artificial intelligence can be utilized in purchasing and supply management. In the past, procurement organizations have often been one of the last functions to be digitized. However, they must keep up with the digital transformation toward industry 4.0, especially with the capabilities of the negotiation partners in business-to-business marketing and sales functions. This work is composed of five chapters starting with the introduction, followed by three peer-reviewed research papers on artificial intelligence in procurement, and finally the conclusion with a summary, limitations, and future research directions. Thereby, the doctoral research has contributed to the literature on the digital transformation of operations and supply chain management, transaction cost economics, dynamic capabilities, technology adoption, the bundling problem, information processing theory, design science methodology, principal-agent theory, applied ethics for artificial intelligence, and autonomous negotiation agents.