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Perceptions of AI adoption and their impact on supply chain learning

Abstract

Operationalisation of supply chain learning (SCL) is a major challenge. Technologies such as artificial intelligence (AI) are expected to favour supply chain information sharing, collaboration, and coordination, hence, supporting SCL. This paper examines how organisations’ perceptions about AI adoption influence SCL, exploring the relationship between AI’s perceived usefulness and ease of use with the SCL dimensions. We performed an online survey-based investigation with 206 Brazilian practitioners from different organisations of several industry sectors, whose responses were examined using multivariate data techniques. Similar trends in results were observed regardless of whether the relationship was between the focal company and its suppliers or between the focal company and its customers. When the perception about AI’s usefulness and ease of use are both low, captive SCL tends to occur; when both are high, SCL might occur in a distributed way. A consortium SCL prevails if only AI’s perceived ease of use is high; a selective SCL occurs if only the perceived usefulness is high. Identifying how SCL is impacted by organisations’ perceptions about AI adoption may help managers to prioritise their digitalisation efforts, adjusting them according to the expected type of knowledge to be created and shared across the supply chain.
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Category

Academic article

Language

English

Author(s)

  • Guilherme Luz Tortorella
  • Daryl Powell
  • Mohsin Malik
  • Rafaela Alfalla-Luque
  • Alberto Portioli-Staudacher
  • Daniel Nascimento

Affiliation

  • SINTEF
  • Politecnico di Milano University
  • University of Seville
  • University of Barcelona
  • University of South-Eastern Norway
  • Austral University, Buenos Aires
  • University Centre of Belo Horizonte
  • Swinburne University of Technology
  • University of Melbourne

Year

2025

Published in

International Journal of Logistics Research and Applications

ISSN

1367-5567

Page(s)

1 - 22

View this publication at Norwegian Research Information Repository