Authors:
Sofía Abadía
and
Oscar Avila
Affiliation:
Department of Systems and Computing Engineering, School of Engineering, Universidad de los Andes, Bogota, Colombia
Keyword(s):
Intelligent Information Systems, Data Analytics, Adoption, Influencing Factors.
Abstract:
Enterprise Information Systems (EIS) are widely used to support operational and tactical processes of companies and have begun, in recent years, to be used at the strategic level to support decision-making processes. To do so, new systems, known as intelligent EIS, integrate data analytics modules to provide the necessary information and reports to make informed decisions. There are certain influencing factors for the adoption of such systems, however, from a first analysis of the academic literature, it was found that research works in the domain are very scarce and even more, there are no research works on the subject in Colombia. Consequently, this article aims at identifying the relevant factors for the adoption of intelligent EIS based on an analysis of the academic literature, and then structuring a focus group activity with 5 experts on the subject to obtain a first approach to the adoption of this kind of systems for the Colombian context. As a preliminary result, we found th
at in the Colombian industry the most important influencing factors include cost and IT capabilities which differs from main factors identified in the revision of the international scholar literature.
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