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Communication Papers of the 17th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 32

Digital Business Transformation Methodologies: A Quasi-systematic Review of Literature

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DOI: http://dx.doi.org/10.15439/2022F29

Citation: Communication Papers of the 17th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 32, pages 217221 ()

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Abstract. The globalized scenario of great competition in the corporate world and the use of new disruptive technologies, which are associated with a revolutionary innovation process, are leveraging current business models and awakening the latent need for companies to adapt definitively to this historic moment of transformation digital driven by the Pandemic of the new Coronavirus.In addition to the new commercial relationships using technology as a support base for all business processes, they are also highly dependent on the care with the privacy of the personal data used. Security incidents that occur with this data can drastically compromise the image of companies and also imply serious sanctions provided for in privacy laws such as the Brazilian LGPD - General Data Protection Law. Thus, this work aims to map state-of-the-art articles that address Digital Business Transformation Methodologies, aiming to understand how these methodologies can be replicated in companies to accelerate the reach of this new industrial revolution. A quasi-systematic review of the literature was carried out, involving the main methodologies created from the year 2011 and 127 studies were analyzed, and which 12 were considered relevant. The results show that the number of works related to Digital Transformation Methodologies is still very small and that it started to grow from 2017. The COVID-19 is one of the main reasons for last year's research. there is a diversity of countries studying the theme. Few articles refer to adequacy to the requirements of the privacy laws and protection of personal data existing in their countries.


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