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Artificial intelligence in supply chain management: opportunities and threats for professional competence

UDC 004:65.01:658

DOI: https://doi.org/10.46783/smart-scm/2023-19-3
JEL Classification: L81, L86, L87, L90, M15, O3.

Received: 10 June 2023

  • Tadeusz Popkowski PhD (Engineering), Associate Professor, Head of the IT team the International university of logistics and transport in Wroclaw
    Poland
  • ORCID: 0000-0003-3825-3428
  • Web of Science ResearcherID: -
  • Scopus author id: -
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Anotation: The article summarized the theoretical foundations of artificial intelligence and classified various technologies and algorithms related to it. Development prospects are also considered, starting from the automation of individual procedures and moving on to the development of complex autonomous systems for decision-making. Further, a detailed analysis of the transformation of key business processes in supply chains under the influence of artificial intelligence was carried out. This made it possible to discover how artificial intelligence technologies affect the organization and management of supply chains, which can lead to changes in management approaches and strategies. In the article, a matrix model of the interaction of specialists with artificial intelligence in supply chain management was developed and improved. It contributes to the understanding of how to effectively combine the role of humans and artificial intelligence systems to optimize processes in supply chains. Special attention is paid to the transition from supporting to autonomous role of artificial intelligence systems in supply chains. This change in dynamics may change the balance of power between humans and AI systems, and affect accountability and control mechanisms, as well as the ethical implications of delegating authority to AI systems. Accordingly, it is important to develop the digital skills of supply chain managers and increase their level of digital competence in order to implement artificial intelligence technologies effectively and ethically. The lack of such competencies can become an obstacle in the development and successful use of artificial intelligence in supply chain management.
Keywords: supply chain management, artificial intelligence, intelligent decision-making systems, automation and digitization of business processes, digital competencies of personnel
Анотація: У статті було узагальнено теоретичні основи штучного інтелекту та класифіковано різноманітні технології та алгоритми, що пов’язані з ним. Також розглянуті перспективи розвитку, починаючи від автоматизації окремих процедур і переходячи до розробки складних автономних систем для прийняття рішень. Далі, проведений детальний аналіз трансформації ключових бізнес-процесів у ланцюгах постачання під впливом штучного інтелекту. Це дозволило виявити, як технології штучного інтелекту впливають на організацію та управління ланцюгами постачання, що може привести до зміни підходів і стратегій управління. В статті була розроблена та удосконалена матрична модель взаємодії фахівців зі штучним інтелектом в управлінні ланцюгами постачання. Це сприяє розумінню того, як ефективно поєднувати роль людей та систем штучного інтелекту для оптимізації процесів у ланцюгах постачання. Особлива увага приділена переходу від допоміжної до автономної ролі систем штучного інтелекту у ланцюгах постачання. Ця зміна в динаміці може змінити баланс влади між людьми та системами штучного інтелекту, а також впливати на механізми підзвітності та контролю, а також етичні наслідки делегування повноважень системам штучного інтелекту. Відповідно, важливо розвивати цифрові навички менеджерів, які працюють з управління ланцюгами постачання, та підвищувати їх рівень цифрової компетентності, щоб впроваджувати технології штучного інтелекту ефективно та етично. Відсутність таких компетенцій може стати перешкодою у розвитку і успішному використанні штучного інтелекту в управлінні ланцюгами постачання.
Ключові слова: управління ланцюгами постачання, штучний інтелект, інтелектуальні системи прийняття рішень, автоматизація та цифровизація бізнес-процесів, цифрові компетенції персоналу

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HOW TO QUOTE THIS ARTICLE:

Hryhorak M.Yu., Harmash O.M., Tadeusz Popkowski (2023) “Artificial intelligence in supply chain management: opportunities and threats for professional competence”. – Intellectualization of logistics and Supply Chain Management. [Online], vol.19, pp.24-44, available at: https://smart-scm.org/en/journal-19-2023/artificial-intelligence-in-supply-chain-management-opportunities-and-threats-for-professional-competence/. DOI: https://doi.org/10.46783/smart-scm/2023-19-3
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