Scientific research on digitalization and its impact on business models has been growing exponentially in recent years. This has been particularly evident from 2010 onwards, following a landmark special issue published in Long Range Planning. This article offers an overview of the development of academic literature published between 2010 and 2019 with regards to the relationship between digitalization and business models in 198 peer-reviewed articles. By applying a novel methodological approach to compare results from different bibliometric analyses, such as the analysis of citations, co-citations, bibliographic coupling, and co-occurrences of keywords, we have identified the most influential journals, authors, and articles, as well as three thematic clusters (technological innovation, strategic management, and digital transformation). For each cluster, the most relevant contributions are presented. Promising research areas and future research directions are identified to address the existing gaps in knowledge.

Digitalization and business models: Where are we going? A science map of the field

Pizzi S.;
2021-01-01

Abstract

Scientific research on digitalization and its impact on business models has been growing exponentially in recent years. This has been particularly evident from 2010 onwards, following a landmark special issue published in Long Range Planning. This article offers an overview of the development of academic literature published between 2010 and 2019 with regards to the relationship between digitalization and business models in 198 peer-reviewed articles. By applying a novel methodological approach to compare results from different bibliometric analyses, such as the analysis of citations, co-citations, bibliographic coupling, and co-occurrences of keywords, we have identified the most influential journals, authors, and articles, as well as three thematic clusters (technological innovation, strategic management, and digital transformation). For each cluster, the most relevant contributions are presented. Promising research areas and future research directions are identified to address the existing gaps in knowledge.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/447413
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