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Issues in Informing Science and Information Technology
Article . 2016 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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https://doi.org/10.28945/3420...
Article . 2016 . Peer-reviewed
Data sources: Crossref
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Factors Driving Business Intelligence Culture

Authors: Rimvydas Skyrius; Igor Katin; Michail Kazimianec; Svetlana Nemitko; Gediminas Rumšas; Raimundas Žilinskas;

Factors Driving Business Intelligence Culture

Abstract

[The final form of this paper was published in the journal Issues in Informing Science and Information Technology.] The field of business intelligence (BI), despite rapid technology advances, continues to feature inadequate levels of adoption. The attention of researchers is shifting towards hu-man factors of BI adoption. The wide set of human factors influencing BI adoption con-tains elements of what we call BI culture – an overarching concept covering key managerial issues that come up in BI implementation. Research sources provide different sets of features pertaining to BI culture or related concepts – decision-making culture, analytical culture and others. The goal of this paper is to perform the rview of research and practical sources to examine driving forces of BI – data-driven approaches, BI agility, maturity and acceptance – to point out culture-related issues that support BI adoption and to suggest an emerging set of factors influencing BI culture.

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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!
9
Top 10%
Average
Average
gold