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dc.contributor.advisorCoetzee, J C
dc.contributor.authorDe Villiers, Jacob Jacobus
dc.date.accessioned2017-08-03T06:49:41Z
dc.date.available2017-08-03T06:49:41Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10394/25305
dc.descriptionMBA, North-West University, Potchefstroom Campus, 2017en_US
dc.description.abstractThe aim of this study was to determine whether the relationship proposed by Technology Acceptance Model (TAM) that is, Behavioural intention to use (ITU) = Perceived Usefulness (PU) + Perceived Ease of Use (PEOU), remains valid when applied to Business Intelligence. More specifically applied to the MicroStrategy™ Business Intelligence tool in a South African Pharmaceutical organisation. This was done through firstly, a literature review of the Technology Acceptance Model, Business Intelligence and various related concepts. Secondly, a structured questionnaire served as the medium for empirical research. The literature review highlighted prior research done on the Technology Acceptance Model, identifying the fundamental importance of the model to act as a starting point for user acceptance testing. Recent developments within the field of Business Intelligence were also discussed showing the need for more user involvement and the benefit of user acceptance testing. The organisation used in this study had a respectable MicroStrategy™ user base with good potential for growth. MicroStrategy™ has proven to be a successful implementation within the organisation, offering a variety of solutions and services. A structured questionnaire was introduced to gather the necessary data. The data received from respondents was analysed to determine whether the Technology Acceptance Model could explain user acceptance in Business Intelligence. In order to do this a frequency analysis, descriptive statistics, reliability, internal consistency as well as correlations between constructs and questions were tested, discussed and compared to previous literature and research results. Statistical significant correlations were found between all constructs and as depicted in literature, Perceived Usefulness had a much larger impact than Perceived Ease of Use on user acceptance. Linear regression was used to test the full impact of combined constructs. The results of the analysis were positive, with the model able to explain more than 50% of the variance in Intention to Use through the two constructs that is, Perceived Usefulness and Perceived Ease of Useen_US
dc.language.isoenen_US
dc.publisherNorth-West University (South Africa) , Potchefstroom Campusen_US
dc.subjectTechnology acceptance modelen_US
dc.subjectBehavioural intention to useen_US
dc.subjectAttitude towards usingen_US
dc.subjectPerceived usefulnessen_US
dc.subjectPerceived ease of useen_US
dc.subjectUser acceptanceen_US
dc.subjectBusiness intelligenceen_US
dc.subjectInformation systemsen_US
dc.subjectMicroStrategyen_US
dc.titleA validation of the technology acceptance model on BI systems in a South African pharmaceutical organisationen_US
dc.typeThesisen_US
dc.description.thesistypeMastersen_US
dc.contributor.researchID10306498 - Coetzee, Johannes Cornelius (Supervisor)


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