Szczegóły publikacji

Opis bibliograficzny

Enabling digital transformation and knowledge migration: the impact of NLP, AI, and ML in mobile applications / Pascal Muam MAH, Iwona SKALNA, Tomasz PEŁECH-PILICHOWSKI, Tomasz DERLECKI, Victor Aghaah Mah, Kilian Nyamka // Scientific Papers of Silesian University of Technology [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2720-751X. Organization & Management ; ISSN 2720-751X. — 2023 — no. 184, s. 251–273. — Bibliogr. s. 270–273, Abstr.

Autorzy (6)

Słowa kluczowe

artificial intelligenceknowledge migrationdigital transformationmobile appsnatural language processingmachine learning

Dane bibliometryczne

ID BaDAP151480
Data dodania do BaDAP2024-01-29
Tekst źródłowyURL
DOI10.29119/1641-3466.2023.184.13
Rok publikacji2023
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaZeszyty Naukowe Politechniki Śląskiej = Scientific Journal of Silesian University of Technology, Organizacja i Zarządzanie = Organization & Management

Abstract

Purpose: The study intends to draw attention to the limitations of human complex values, the absence of user-facing connectivity and interoperability among mobile apps, and how these factors have slowed down the pace of digital transformation. Design/methodology/approach: Through Google Play Store download rates, the study tracked consumer interactions with digital transformation through mobile apps. Based on their categories, a total of seventy-eight (78) mobile apps were analyzed, contrasted, and assessed. Each download rate was interpreted as the user’s acquisition of the integrated NLP, AI, and ML algorithms in mobile app system settings. Findings: The findings demonstrated low user involvement in NLP, AI, and ML as tools of knowledge migration from mobile applications to digital transformation compared to the global population, and none of the 78 mobile apps have interconnection and interoperability with other apps. Research limitations/implications: The study draw attention to the limitations of human complex values, the absence of (study) user-facing connectivity and interoperability among mobile apps, and how these factors have slowed down the pace of digital transformation. In order to advance the pace of digital transformation, there must be an active presence of non- user-facing connectivity and interoperability issues among mobile apps. Practical implications: A wealth of research has shown that because people are complex, digital transformation has not succeeded and instead relies on human values and interactions. Furthermore, users' access and operational scope are restricted by the absence of connectivity and compatibility among mobile apps, resulting in an excessively dispersed distribution of knowledge and data Social implications: The ability to continuously drive improvements in the global economy from institutionalization to business and healthcare is made possible by contemporary instruments such as digital transformation and knowledge transfer. Emerging mobile applications that organize events, manage lectures, and transmit knowledge, human thoughts, and sentiments are the result of natural language processing, artificial intelligence, and machine learning. These technologies have revolutionized the traditional documentary into a digitalized system. Originality/value. The study revealed that digital transformation has not achieved the anticipated transformation due to low user engagement and a lack of interconnectivity among mobile apps. As a result, knowledge migration has not been properly disseminated over the world.

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