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Cited by 211

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Intelligent purchasing: How artificial intelligence can redefine the purchasing function

Open access
Allal-Chérif, Oihab, Simón-Moya, Virginia, Ballester, Antonio Carlos Cuenca·2021·Journal of Business Research

Abstract

Abstract Artificial intelligence (AI) can affect all of a company’s functions, not least the purchasing department. In addition to automating and optimizing existing processes, AI opens up new opportunities for purchasers to undertake new, strategic, collaborative, enduring missions. AI enables complex, strategic decision-making in an unpredictable, hostile environment. This article analyzes to what extent AI can improve the performance of the purchasing department. First, a review is undertaken of how AI is used in purchasing. Thereafter, the research follows an exploratory, inductive, and qualitative approach based on a multiple case study of the following technologies: (1) the Synertrade automated international purchasing system; (2) the Silex matching system; (3) SAP Ariba decision support; (4) Jaggaer supplier relations management; and (5) the Ideapoke collaborative ideation and innovative project management platform. The present study’s contributions lie in its redefinition of the purchasing function, of the purchaser’s role, of supplier relationship management policy, and of interdepartmental collaboration, involving, for example, Marketing and R&D.

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Metadata

Authors
Allal-Chérif, O., Simón-Moya, V., & Ballester, A. C. C.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2021-01
Volume
124
Pages
69-76
ISSN
0148-2963 (ISSN-L)
OpenAlex
W3112603225
Cited by
211
References
2
FWCI
10.84
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Intelligent purchasing: How artificial intelligence can redefine the purchasing function. https://app.cochat.ai/papers/10.1016/j.jbusres.2020.11.050
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Allal-Chérif, O., Simón-Moya, V., & Ballester, A. C. C. (2021). Intelligent purchasing: How artificial intelligence can redefine the purchasing function. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2020.11.050

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