Abstract
In this digital era, data is new oil and artificial intelligence (AI) is new electricity, which is needed in different elements of operations management (OM) such as manufacturing, product development, services and supply chain. This study explores the feasibility of AI utilization within an organization on six factors such as job-fit, complexity, long-term consequences, affect towards use, social factors and facilitating conditions for different elements of OM by mining the collective intelligence of experts on Twitter and through academic literature. The study provides guidelines for managers for AI applications in different components of OM and concludes by presenting the limitations of the study along with future research directions.
| Original language | English |
|---|---|
| Pages (from-to) | 177-213 |
| Number of pages | 37 |
| Journal | Annals of Operations Research |
| Volume | 308 |
| Issue number | 1-2 |
| DOIs | |
| State | Published - Jan 2022 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2020, Springer Science+Business Media, LLC, part of Springer Nature.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Artificial intelligence
- Model of AI utilization
- Operation management
- Technology adoption
ASJC Scopus subject areas
- General Decision Sciences
- Management Science and Operations Research
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