ARTIFICIAL INTELLIGENCE (AI) IN E-PROCUREMENT: A LITERATURE REVIEW

Harald Konnerth

ARTIFICIAL INTELLIGENCE (AI) IN E-PROCUREMENT: A LITERATURE REVIEW

Research Center Steyr

Research output: Contribution to conference › Paper › peer-review

Abstract

The goal of e-procurement is to ensure the availability of relevant goods in a company, services, and other resources. A distinction is made between the strategic goals, which include quality and supply assurance, and the operational goals such as reduction of storage costs and optimization of the costs of activities in the ordering process. Despite the complexity and potential of E-procurement, support by artificial intelligence (AI) is still not widespread. To capture the current state of research and its use in practice, a systematic literature review on the use of AI in e-procurement is conducted in this paper.

Original language	German (Austria)
Number of pages	16
Publication status	Published - 23 Oct 2023
Event	22nd International Conference Economy & Business - Burgas, Bulgaria Duration: 20 Aug 2023 → 23 Aug 2023 Conference number: ISSN 1314-7242 https://www.sciencebg.net/en/conferences/economy-and-business/?ref=isp

Conference

Conference	22nd International Conference Economy & Business
Abbreviated title	Economy & Business
Country/Territory	Bulgaria
City	Burgas
Period	20.08.2023 → 23.08.2023
Internet address	https://www.sciencebg.net/en/conferences/economy-and-business/?ref=isp

Access to Document

https://www.scientific-publications.net/en/article/1002607/Licence: CC BY

Cite this

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title = "ARTIFICIAL INTELLIGENCE (AI) IN E-PROCUREMENT: A LITERATURE REVIEW",

abstract = "The goal of e-procurement is to ensure the availability of relevant goods in a company, services, and other resources. A distinction is made between the strategic goals, which include quality and supply assurance, and the operational goals such as reduction of storage costs and optimization of the costs of activities in the ordering process. Despite the complexity and potential of E-procurement, support by artificial intelligence (AI) is still not widespread. To capture the current state of research and its use in practice, a systematic literature review on the use of AI in e-procurement is conducted in this paper.",

keywords = "E-Procurement, Artificial Intelligence, Machine Learning, Digitalization",

author = "Harald Konnerth",

year = "2023",

month = oct,

day = "23",

language = "Deutsch ({\"O}sterreich)",

note = "22nd International Conference Economy & Business, Economy & Business ; Conference date: 20-08-2023 Through 23-08-2023",

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T1 - ARTIFICIAL INTELLIGENCE (AI) IN E-PROCUREMENT: A LITERATURE REVIEW

AU - Konnerth, Harald

N1 - Conference code: ISSN 1314-7242

PY - 2023/10/23

Y1 - 2023/10/23

N2 - The goal of e-procurement is to ensure the availability of relevant goods in a company, services, and other resources. A distinction is made between the strategic goals, which include quality and supply assurance, and the operational goals such as reduction of storage costs and optimization of the costs of activities in the ordering process. Despite the complexity and potential of E-procurement, support by artificial intelligence (AI) is still not widespread. To capture the current state of research and its use in practice, a systematic literature review on the use of AI in e-procurement is conducted in this paper.

AB - The goal of e-procurement is to ensure the availability of relevant goods in a company, services, and other resources. A distinction is made between the strategic goals, which include quality and supply assurance, and the operational goals such as reduction of storage costs and optimization of the costs of activities in the ordering process. Despite the complexity and potential of E-procurement, support by artificial intelligence (AI) is still not widespread. To capture the current state of research and its use in practice, a systematic literature review on the use of AI in e-procurement is conducted in this paper.

KW - E-Procurement

KW - Artificial Intelligence

KW - Machine Learning

KW - Digitalization

M3 - Papier

T2 - 22nd International Conference Economy & Business

Y2 - 20 August 2023 through 23 August 2023

ER -