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Emerging paradigms: the fusion of ai and ecosystems in business

dc.contributor.authorBlagodyr, L. M.en
dc.contributor.authorБлагодир, Л. М.uk
dc.titleEmerging paradigms: the fusion of ai and ecosystems in businessen
dc.date.issued2023
dc.publisherOKTAN PRINTuk
dc.identifier.citationBlagodyr L. Emerging paradigms: the fusion of ai and ecosystems in business [Text] / L. Blagodyr // Artificial intelligence: an era of new threats or opportunities? : monograph / edited by Irina Tatomyr, Liubov Kvasnii. – Praha : OKTAN PRINT, 2023. – Chapt. 1. – Pp. 6-18.en
dc.relation.ispartofArtificial intelligence: an era of new threats or opportunities? 1 : 6-18.en
dc.identifier.doi10.46489/aiaeont-23-23
dc.identifier.isbn978-80-88618-07-2
dc.identifier.urihttp://ir.lib.vntu.edu.ua/handle/123456789/37875
dc.description.abstractUnder rapid technological advancement, the influence of artificial intelligence (AI) on companies` business models has emerged as a transformative force reshaping the fundamental fabric of organizations and promoting new forms of business activity coordination. The convergence of cutting-edge technologies and innovative business strategies is propelling companies into unknown domains, transcending traditional operational paradigms and unveiling new frontiers of value creation. This research delves deep into the complex interplay between artificial intelligence, digital operating models, and business digital ecosystems. With AI poised to revolutionize decision-making, automation, and customer engagement, digital operating models acting as the structural backbone of organizational operations, and business digital ecosystems fostering collaborative synergies, understanding how these elements interact and influence each other has become pivotal for businesses striving to remain competitive in today`s fast-paced environment.en
dc.subjectartificial inteligenceen
dc.subjectbusiness ecosystemsen
dc.subjectbusiness modelen
dc.subjectoperating modelen
dc.subjectaI factoryen
dc.subjectmodularityen
dc.subjectinverted firm theoryen
dc.typeMonograph
dc.language.isoukuk
dc.date.accessioned2023-09-21T08:30:27Z
dc.date.available2023-09-21T08:30:27Z

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