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Confluence of Factors that Influence Business Model by Digitalisation and Industry 4.0 Technologies

Meiry Altino Freire de Souza, Maria José Aguilar Madeira, Luísa Carvalho, Pereira Duarte Filipe Alexandre and Simão Lurdes

Cuadernos de Gestión, 2024

Abstract: [EN] The emergence of digital technologies and the expansion of their use has significantly transformed organisations and their Business Models (BM), modifying their traditional structures, redefining the client’s meaning and positioning, as well as retally adjusting the way individuals live and interact with each other in the Fourth Industrial Revolution, also known as Industry 4.0 (I4.0). This research aims to reflect on the confluence of factors influencing BM through digitalisation and I4.0 disruptive technologies. Firstly, a Systematic Literature Review was conducted to map the top articles and most persuasive authors in the area, journals, institutions, and countries with the most publications within this theme. Secondly, five thematic clusters were pointed out and analysed through the co-occurrence of keywords. Finally, an in-depth analysis was run to identify influencing aspects of BM in the digitalisation era, relating them to specific I4.0 technologies. The research revealed that digital technologies enable improvements in distribution strategy and traceability, facilitate the relationship between buyers and suppliers, improve customer segmentation and product demand forecasting, enable cost reduction, and assist in implementing circular economy practices. In the context of the pandemic/COVID-19, BM has changed significantly, making it necessary to deepen knowledge about digitalisation and adopt I4.0 technologies.

Keywords: industry 4.0; digitalisation; business models; factors; technologies; innovation; industria 4.0; digitalización; modelos de negocio; factores; tecnologías; innovación (search for similar items in EconPapers)
Date: 2024
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Instituto de Economía Aplicada a la Empresa, Revista Cuadernos de Gestión, Facultad de CC. Económicas y Empresariales, Universidad del País Vasco, Avda. Lehendakari Aguirre 83, 48015 Bilbao, Spain
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