The Role Of Artificial Intelligence Integration And Organizational Dynamics On Optimizing Supply Chain Performance.
This systematic review explores the role of artificial intelligence (AI) and organizational dynamics in optimizing supply chain management (SCM). Analyzing a series of articles published between 2010 and 2024, we identify several key findings. First, we find that AI has a positive impact on SCM oper...
| Publicado en: | Journal of Namibian Studies Vol. 41; pp. 131 - 144 |
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| Formato: | Artículo |
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Society of Cultural Studies & Social Sciences
2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=179310600&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 179310600 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 18635954 G5EZ jtl: Journal of Namibian Studies issn: 18635954 maglogo: N pubinfo: dt: 2024 vid: 41 pid: 92471 pub: Society of Cultural Studies & Social Sciences artinfo: ui: 179310600 ppf: 131 ppct: 13 formats: tig: atl: The Role Of Artificial Intelligence Integration And Organizational Dynamics On Optimizing Supply Chain Performance. aug: au: Ababou, Mariame affil: Research Laboratory in Entrepreneurship and Organizational Management, Fez Business School, Private University of Fez, Fez, Morocco su: Change management Supply chain management Artificial intelligence Organizational performance Process optimization sug: subj: Change management Supply chain management Artificial intelligence Organizational performance Process optimization keyword: systematic review ab: This systematic review explores the role of artificial intelligence (AI) and organizational dynamics in optimizing supply chain management (SCM). Analyzing a series of articles published between 2010 and 2024, we identify several key findings. First, we find that AI has a positive impact on SCM operational efficiency by enabling task automation, real-time optimization and proactive risk management. Secondly, we highlight the importance of organizational factors such as management support, innovation culture and change management in the process of successful AI adoption. Despite challenges related to data confidentiality and skills gaps, AI integration offers significant opportunities for process optimization and improved decision-making in SCM. Finally, we discuss emerging trends such as the convergence of AI with other technologies and emphasize the importance of a holistic approach to fully leverage the potential of AI in SCM. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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