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Future Generation Computer Systems
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2019
Data sources: DBLP
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Digital learning: Developing skills for digital transformation of organizations

Authors: Maria José Sousa; Álvaro Rocha 0001;

Digital learning: Developing skills for digital transformation of organizations

Abstract

Abstract The primary goal of this paper is to contribute to the discussion of an effective digital transformation of organizations based on the latest trends of skills. It also intends to analyze the perceptions of individuals regarding the challenges faced by organizations and opportunities for new disruptive business. A literature review about the digital learning contexts and the identification of skills needed for organizations digital transformation was made. Moreover, it was also launched an online survey to identify the importance of skills for an effective digital transformation. As primary results, the main skills identified were artificial intelligence, nanotechnology, robotization, internet of things, augmented reality, digitalization; and the main digital learning contexts were mobile technologies, tablets, and smartphone applications — which are becoming more and more popular among the employees. This study will help organizations to rethink their strategies according to skills development to respond to the challenges of digital transformation.

Country
Portugal
Related Organizations
Keywords

Digital transformation, Corporate digital learning, SkillsOrganizations, Disruptive business, Model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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286
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27
19
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