MAPPING THE LANDSCAPE OF ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MANAGEMENT: A BIBLIOMETRIC ANALYSIS
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TATARCZAK, A. (2024). MAPPING THE LANDSCAPE OF ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MANAGEMENT: A BIBLIOMETRIC ANALYSIS. Modern Management Review, 29(1), 43-57. https://doi.org/10.7862/rz.2024.mmr.04

Abstrakt

Koncepcje i technologie związane z przemysłem 4.0, które koncentrują się na interkonkurencyjności, digitalizacji i automatyzacji, są kluczowe dla długoterminowego sukcesu zarówno mikroekonomicznych, jak i makroekonomicznych podmiotów. Sztuczna inteligencja (AI) wyłoniła się jako krytyczny czynnik umożliwiający skuteczne zarządzanie łańcuchem dostaw (Supply Chain Management, SCM) w ramach tego ramienia. Niniejsze badanie przeprowadza gruntowną analizę literatury w celu zbadania roli AI w SCM. Celem badania jest identyfikacja trendów badawczych, ocena obecnego stanu wiedzy oraz dostarczenie spostrzeżeń dotyczących implikacji zarządzania poprzez przeprowadzenie systematycznego przeglądu i zastosowanie metod analizy bibliometrycznej. Implikacje zarządzania wynikające z niniejszego badania rzucają światło na potencjalne korzyści i możliwości, jakie może zapewnić AI w operacjach SCM. Wyniki badania dostarczają firmom środków do doskonalenia operacji łańcucha dostaw, podniesienia procesów podejmowania decyzji oraz osiągnięcia przewagi konkurencyjnej w dynamicznym krajobrazie biznesowym, wykorzystując w pełni potencjał AI.

https://doi.org/10.7862/rz.2024.mmr.04
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Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa – Użycie niekomercyjne – Bez utworów zależnych 4.0 Międzynarodowe.

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