Enabling Digital Transformation and Knowledge Migration: the Impact of NLP, AI, and ML in Mobile Applications

• Autorzy: Pascal Muam Mah , Iwona Skalna , Tomasz Pełech-Pilichowski , Tomasz Derlecki , Victor Aghaah Mah , Kilian Nyamka
• Języki publikacji: EN

Abstrakty

EN

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. (original abstract)

Słowa kluczowe

EN

Natural languages; Artificial intelligence; Machine learning; Digital transformation; Mobile applications

PL

Języki naturalne; Sztuczna inteligencja; Uczenie maszynowe; Transformacja cyfrowa; Aplikacje mobilne

• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2023
• Numer: z. 184 Współczesne zarządzanie = Contemporary Management
• Strony: 251--273

Twórcy

autor

Pascal Muam Mah

• AGH University of Science and Technology

autor

Iwona Skalna

• AGH University of Science and Technology

autor

Tomasz Pełech-Pilichowski

• AGH University of Science and Technology

autor

Tomasz Derlecki

• AGH University of Science and Technology

autor

Victor Aghaah Mah

• Leeds Trinity University, United Kingdom

autor

Kilian Nyamka

• Buena Vista University, USA

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Identyfikatory

DOI

10.29119/1641-3466.2023.184.13