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dc.contributor.authorKgasago, Kgoramele Joseph Oupa
dc.contributor.authorJokonya, Osden
dc.date.accessioned2019-10-29T10:22:44Z
dc.date.available2019-10-29T10:22:44Z
dc.date.issued2018
dc.identifier.citationKgasago, K. J. O., & Jokonya, O. (2018). Determinants of business intelligence system acceptance in an emerging country. Journal of Governance & Regulation, 7(4), 42-50. http://doi.org/10.22495/jgr_v7_i4_p5en_US
dc.identifier.issn2306-6784
dc.identifier.urihttp://doi.org/10.22495/jgr_v7_i4_p5
dc.identifier.urihttp://hdl.handle.net/10566/5070
dc.description.abstractIn today’s highly competitive and cumulative uncertainty in the business domain, access to organizations’ business intelligence (BI) can mean not only the difference between profit and loss but also the difference between survival and bankruptcy. The use of Business intelligence systems has become an inevitable requirement for profitability, competitiveness and organisational survival. This study objective is to determine factors that influence users’ acceptance of BI systems in the South African energy sector and develop a conceptual model to explain factors that influence users’ acceptance of BI systems. A survey research strategy was used for the study to empirically test a conceptualised model using collected data. The results of the study found that habit, affect and perceived consequences have a significant influence on users’ acceptance of BI systems. Furthermore, the study discovered that habit influences affect in respect of users’ acceptance of BI systems. The study contributed to literature and body of knowledge on factoren_US
dc.language.isoenen_US
dc.publisherVirtus Interpressen_US
dc.subjectBusiness Intelligence Systemen_US
dc.subjectEnergy sectoren_US
dc.subjectUsageen_US
dc.subjectSocial factorsen_US
dc.subjectPerceived consequencesen_US
dc.titleDeterminants of business intelligence system acceptance in an emerging countryen_US
dc.typeArticleen_US


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