Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380792902> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W4380792902 endingPage "102299" @default.
- W4380792902 startingPage "102299" @default.
- W4380792902 abstract "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." @default.
- W4380792902 created "2023-06-16" @default.
- W4380792902 creator A5037002843 @default.
- W4380792902 creator A5067327463 @default.
- W4380792902 creator A5086742646 @default.
- W4380792902 date "2023-08-01" @default.
- W4380792902 modified "2023-10-02" @default.
- W4380792902 title "Drivers, barriers and social considerations for AI adoption in SCM" @default.
- W4380792902 cites W2010222480 @default.
- W4380792902 cites W2160781605 @default.
- W4380792902 cites W3017620100 @default.
- W4380792902 cites W3092595724 @default.
- W4380792902 cites W4248990059 @default.
- W4380792902 cites W4281257958 @default.
- W4380792902 cites W4285405003 @default.
- W4380792902 cites W4295539664 @default.
- W4380792902 cites W4295962776 @default.
- W4380792902 cites W4312000376 @default.
- W4380792902 doi "https://doi.org/10.1016/j.techsoc.2023.102299" @default.
- W4380792902 hasPublicationYear "2023" @default.
- W4380792902 type Work @default.
- W4380792902 citedByCount "1" @default.
- W4380792902 countsByYear W43807929022023 @default.
- W4380792902 crossrefType "journal-article" @default.
- W4380792902 hasAuthorship W4380792902A5037002843 @default.
- W4380792902 hasAuthorship W4380792902A5067327463 @default.
- W4380792902 hasAuthorship W4380792902A5086742646 @default.
- W4380792902 hasConcept C111472728 @default.
- W4380792902 hasConcept C112930515 @default.
- W4380792902 hasConcept C121332964 @default.
- W4380792902 hasConcept C138885662 @default.
- W4380792902 hasConcept C144133560 @default.
- W4380792902 hasConcept C177212765 @default.
- W4380792902 hasConcept C195094911 @default.
- W4380792902 hasConcept C2778755073 @default.
- W4380792902 hasConcept C2779530757 @default.
- W4380792902 hasConcept C2780233690 @default.
- W4380792902 hasConcept C38652104 @default.
- W4380792902 hasConcept C41008148 @default.
- W4380792902 hasConcept C56739046 @default.
- W4380792902 hasConcept C62520636 @default.
- W4380792902 hasConcept C77088390 @default.
- W4380792902 hasConceptScore W4380792902C111472728 @default.
- W4380792902 hasConceptScore W4380792902C112930515 @default.
- W4380792902 hasConceptScore W4380792902C121332964 @default.
- W4380792902 hasConceptScore W4380792902C138885662 @default.
- W4380792902 hasConceptScore W4380792902C144133560 @default.
- W4380792902 hasConceptScore W4380792902C177212765 @default.
- W4380792902 hasConceptScore W4380792902C195094911 @default.
- W4380792902 hasConceptScore W4380792902C2778755073 @default.
- W4380792902 hasConceptScore W4380792902C2779530757 @default.
- W4380792902 hasConceptScore W4380792902C2780233690 @default.
- W4380792902 hasConceptScore W4380792902C38652104 @default.
- W4380792902 hasConceptScore W4380792902C41008148 @default.
- W4380792902 hasConceptScore W4380792902C56739046 @default.
- W4380792902 hasConceptScore W4380792902C62520636 @default.
- W4380792902 hasConceptScore W4380792902C77088390 @default.
- W4380792902 hasLocation W43807929021 @default.
- W4380792902 hasOpenAccess W4380792902 @default.
- W4380792902 hasPrimaryLocation W43807929021 @default.
- W4380792902 hasRelatedWork W1675659276 @default.
- W4380792902 hasRelatedWork W2081035100 @default.
- W4380792902 hasRelatedWork W2323320397 @default.
- W4380792902 hasRelatedWork W2333526246 @default.
- W4380792902 hasRelatedWork W2361979572 @default.
- W4380792902 hasRelatedWork W2497175360 @default.
- W4380792902 hasRelatedWork W2569401834 @default.
- W4380792902 hasRelatedWork W3206324740 @default.
- W4380792902 hasRelatedWork W4283793902 @default.
- W4380792902 hasRelatedWork W592034735 @default.
- W4380792902 hasVolume "74" @default.
- W4380792902 isParatext "false" @default.
- W4380792902 isRetracted "false" @default.
- W4380792902 workType "article" @default.