Analysis of Studies on Digital Strategy: Bibliometric Research of Three Decades

This article empirically examines the research on digital strategy, addressing its temporal evolution, sources of scientific production, countries and organizations generating knowledge, and the topics investigated. It highlights key authors and journals from 1991 to 2023, contributing to Sustainable Development Goal (SDG) 9. Methodologically, traditional bibliometric laws and computational tools (VOSviewer software version 1.6.18) were applied for data processing. The results show an exponential increase in publications from 2005 to 2022 with a critical mass in digital strategy studies, concentrated in 11 journals and 83 authors with two or more publications. The main organizations leading scientific production in this field are in the USA. Finally, the primary Web of Science categories for the leading journals are Business, Management, and Psychology. The research examines the use and adoption of digital strategies in marketing, the impact of digital transformation on business models, and the challenges it poses for human resources. In addition, the challenges arising from the impact of COVID-19, the rise of artificial intelligence, and the integration of digital strategies in public administration should continue to be addressed. Finally, digital transformation is a topic of increasing interest in digital strategy studies.

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Publication Details

Journal
Sustainability
Published
2024-10-11
DOI
https://doi.org/10.3390/su16208789
Citations
4
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.11

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article

Analysis of Studies on Digital Strategy: Bibliometric Research of Three Decades

Alejandro Vega-Muñoz, Guido Salazar-Sepúlveda, Pablo Toledo-Aceituno, Gustavo A. Cruz-Martínez
4 citations
Sustainability
Big Data and Business Intelligence
2.11
article

Analysis of Studies on Digital Strategy: Bibliometric Research of Three Decades

Alejandro Vega-Muñoz, Guido Salazar-Sepúlveda, Pablo Toledo-Aceituno, Gustavo A. Cruz-Martínez
article en
4 citations

Abstract

This article empirically examines the research on digital strategy, addressing its temporal evolution, sources of scientific production, countries and organizations generating knowledge, and the topics investigated. It highlights key authors and journals from 1991 to 2023, contributing to Sustainable Development Goal (SDG) 9. Methodologically, traditional bibliometric laws and computational tools (VOSviewer software version 1.6.18) were applied for data processing. The results show an exponential increase in publications from 2005 to 2022 with a critical mass in digital strategy studies, concentrated in 11 journals and 83 authors with two or more publications. The main organizations leading scientific production in this field are in the USA. Finally, the primary Web of Science categories for the leading journals are Business, Management, and Psychology. The research examines the use and adoption of digital strategies in marketing, the impact of digital transformation on business models, and the challenges it poses for human resources. In addition, the challenges arising from the impact of COVID-19, the rise of artificial intelligence, and the integration of digital strategies in public administration should continue to be addressed. Finally, digital transformation is a topic of increasing interest in digital strategy studies.

SustainabilityVol. 16(20)
National Autonomous University of Honduras (HN), Universidad Católica de la Santísima Concepción (CL), Universidad SEK (CL), University of the Americas (CL), Universidad Central de Chile (CL), Arturo Prat University (CL)
University of Nebraska Medical Center, Emory University, Universidad de Guadalajara, National and Kapodistrian University of Athens, Universidad Católica de la Santísima Concepción, Università di Bologna, Università degli Studi di Verona, Agricultural University of Athens, Libera Università di Bolzano, Universidad Arturo Prat
Partnerships for the goals
Openalex Percentile: Top 10%
Big Data and Business Intelligence
2.11
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