Drivers, barriers and social considerations for AI adoption in SCM

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F23%3A43923611" target="_blank" >RIV/62156489:43110/23:43923611 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1016/j.techsoc.2023.102299" target="_blank" >https://doi.org/10.1016/j.techsoc.2023.102299</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.techsoc.2023.102299" target="_blank" >10.1016/j.techsoc.2023.102299</a>

Result language

angličtina

Original language name

Drivers, barriers and social considerations for AI adoption in SCM

Original language description

This study explored the challenges and recommendations for implementing Artificial Intelligence (AI) in SC Management (SCM). The experts identified several drivers for AI adoption in SCM, including increased efficiency, improved decision-making, and reduced costs. However, they highlighted several barriers to AI adoption, such as data quality and management issues, resistance to change, and lack of understanding and trust in AI. To overcome these barriers and ensure successful AI implementation, companies should involve all stakeholders, focus on data quality and management, and ensure the AI solution integrates with existing processes and workflows. In addition, companies should also avoid common mistakes when implementing AI, such as neglecting the importance of explainability and transparency in AI decision-making, underestimating the importance of involving all stakeholders, and rushing into large-scale implementation without conducting small-scale pilot projects. By following the recommendations and avoiding common mistakes, companies can harness the benefits of AI in SCM while minimizing risks and challenges.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

50902 - Social sciences, interdisciplinary

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Technology in Society

ISSN

0160-791X

e-ISSN

1879-3274

Volume of the periodical

74

Issue of the periodical within the volume

August

Country of publishing house

GB - UNITED KINGDOM

Number of pages

9

Pages from-to

102299

UT code for WoS article

001025895800001

EID of the result in the Scopus database

2-s2.0-85164302768