Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

The landscape of Industry 4.0 and business model innovation

A scientometric analysis of research trends and emerging patterns

Datos Bibliográficos

ID22188596
AutoresAtik Kulakli (0000-0002-2368-3225, American University of the Middle East), Cenk Lacin Arikan (0000-0002-7187-3904, American University of the Middle East), Semra Birgun (0000-0001-5018-6120, Doğuş University)
Año2024
Volumen8
Número14
Páginas9552
Fecha de publicación2024-11-20
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Infrastructure Policy and Development (JOURNAL)
Identificadores de la revistaISSN: 2572-7923 • E-ISSN: 2572-7931
EditorialEnPress Publisher (PUBLISHER)
DOI10.24294/jipd9552
OpenAlexW4404511679
IdiomaEN

In Industry 4.0, the business model innovation plays a crucial role in enabling organizations to stay competitive and capitalize on the opportunities presented by digital transformation. Industry 4.0 is driven by digitalization and characterized by integrating various emerging technologies. These technologies can potentially change traditional business models and create new value propositions for customers. This paper aims to analyze and review the research papers through a bibliometric approach scientifically. The data were extracted from reputable Clarivate Web of Science (WoS) Core Collection sources from 2010 to 2023 (June). However, the publication started in 2018 for the research fields. The results show that scientific publications on research domains have increased significantly from 2020. VOSviewer, R Language, and Microsoft Excel were utilized for analysis. Bibliometric and Scientometric approaches conducted to determine and explore the publication patterns with significant keywords, topical trends, and content clustering better discussions of the publication period. The visualization of the data set related to research trends of Industry 4.0 in relation to Business Model Innovation resulted in several co-occurrence clusters namely: 1) Business Model Innovation; 2) Industry 4.0; 3) Digital transformation; and 4) Technology implementation and analysis. The study results would identify worldwide research trends related to the research domains and recommendations for future research areas

Business · Business model · Economic geography · Geography · Knowledge management · Regional science · Big Data and Business Intelligence · Computer Science · Digital Transformation in Industry · Impact of AI and Big Data on Business and Society · Marketing

Velocidad de citaciónhistorical
Altamente citadoNo
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae