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Artificial Intelligence (Ai) In E-Procurement: A Literature Review

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  • Harald Konnerth

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 .

Suggested Citation

  • Harald Konnerth, 2023. "Artificial Intelligence (Ai) In E-Procurement: A Literature Review," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 17(1), pages 98-113.
    • Handle: RePEc:isp:journl:v:17:y:2023:i:1:p:98-113
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    References listed on IDEAS

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    1. Hannes Wallimann & Silvio Sticher, 2023. "On suspicious tracks: machine-learning based approaches to detect cartels in railway-infrastructure procurement," Papers 2304.11888, arXiv.org.
    2. George Baryannis & Sahar Validi & Samir Dani & Grigoris Antoniou, 2019. "Supply chain risk management and artificial intelligence: state of the art and future research directions," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2179-2202, April.
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    More about this item

    Keywords

    e-procurement; artificial intelligence; machine learning; digitalization;
    All these keywords.

    JEL classification:

    • A - General Economics and Teaching

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