Purpose of the study: The objective of the study was to identify the main strategic domains and their characteristics that enable the proposition of a theoretical-analytical model for implementation and analysis of Digital Transformation (DT) in organizations. Relevance/originality: Proposition of a theoretical-analytical model for implementing and analyzing Digital Transformation (DT) in organizations, based on the 'state of the art' of the topic (national and international literature from 2017 to 2021), composed of eight strategy domains (or dimensions). Methodology/approach: Systematic Literature Review, using the Scopus and Web of Science databases as a source of consultation and data collection, between 2017 and 2021, whose selection was based on reading the titles and abstracts of 296 articles, 26 of which were selected for this work. Main results: Identification of the main strategy domains inherent to DT and its characteristics-customers, data, competition, innovation, value generation, competencies, culture, and agility, which enabled the structuring and proposition of a theoretical-analytical model for implementation and analysis of (DT) in organizations. Theoretical/methodological contributions: From a theoretical-academic point of view, by extending investigative and analytical research on the topic of Digital Transformation into the interdisciplinary and multidisciplinary field of Information Science, Business Administration, and Computing, and the consequent generation of new knowledge for such fields. Social/management contributions: From the organizational point of view, by proposing a framework that is not only theoretical, but also applied, allowing the implementation and analysis of DT, and its consequent generation of value for the various types and levels of users, besides the business itself.
CITATION STYLE
de Oliveira, B. X., Pereira, F. C. M., & Fialho, W. de Á. (2023). DIGITAL TRANSFORMATION: PROPOSED THEORETICAL-ANALYTICAL MODEL FOR VALUE GENERATION. International Journal of Innovation, 11(2). https://doi.org/10.5585/2023.23451
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