The Perceived Business Value of a Business Intelligence System in the South African Energy Sector

dc.contributor.authorKgasago, Kgoramele Joseph
dc.contributor.supervisorOba, Pius
dc.date.accessioned2025-01-23T12:59:08Z
dc.date.available2025-01-23T12:59:08Z
dc.date.issued2024
dc.descriptionA research report submitted in partial fulfillment of the requirements for the degree of Master of Business Administration to the Faculty of Commerce, Law and Management, Wits Business School University of the Witwatersrand, Johannesburg 2024
dc.description.abstractThe use of the BI System is assumed to be beneficial to organisations based on several conceptual and empirical studies which were undertaken to establish the business value of this information system. The current era of the fourth industrial revolution is characterised by innovative solutions such as Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT) and Big Data Analytics (BD), which have furthermore elevated the significance of BI System. The adoption of these technologies creates voluminous amounts of data and information, which need BI System to integrate and manage these data and generate relevant insight to enhance decision-making. However, the literature about how the adoption and use of BI Systems add business value to organisations is still limited. Most studies on the impact of the adoption and use of BI Systems to establish its business value have adopted quantitative empirical studies. Furthermore, the extant literature on BI System is still very limited when it comes the impact and business value that the BI System has on the South African energy sector. This study adopted a modified version of the Balanced Scorecard (BSC) as a theoretical framework that underpinned its investigation on how the use of BI System adds value in the South African energy sector. A qualitative research methodology was assumed to explore this phenomenon about perceived business value of BI Systems in the energy sector. Six professionals working in the South African energy sector’s oil and gas segment were sampled thorough purposive sampling technique and interviewed collect qualitative data about the BI System is perceived to impact this sector. Thematic analysis strategy was used to analyse the data from the opinion, views, values, and perspectives of participants to identify themes, concepts, and ideas that adequately explains this phenomenon. The findings of the study revealed that, BI System impacts organisations indirectly by providing actionable insight that supports the decision-making process in key business areas. As such, the BI System impacts organisations' performance through financial control, customer relationship management, revenue and sale increase, Internal controls and governance management, business process and enhanced asset performance. Consequently, the adoption and use of the BI System is deemed as a strategic initiative which must be embraced to enable organisations to respond to global business dynamics promptly and sustainably
dc.description.submitterMM2025
dc.facultyFaculty of Commerce, Law and Management
dc.identifierhttps://orcid.org/ 0000-0002-5906-1954
dc.identifier.citationKgasago, Kgoramele Joseph. (2024). The Perceived Business Value of a Business Intelligence System in the South African Energy Sector [Master’s dissertation PhD thesis, University of the Witwatersrand, Johannesburg].WireDSpace.https://hdl.handle.net/10539/43650
dc.identifier.urihttps://hdl.handle.net/10539/43650
dc.language.isoen
dc.publisherUniversity of the Witwatersrand, Johannesburg
dc.rights© 2025 University of the Witwatersrand, Johannesburg. All rights reserved. The copyright in this work vests in the University of the Witwatersrand, Johannesburg. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of University of the Witwatersrand, Johannesburg.
dc.rights.holderUniversity of the Witwatersrand, Johannesburg
dc.schoolWITS Business School
dc.subjectBusiness Intelligence System
dc.subjectEnergy Sector
dc.subjectPerceived Business Value
dc.subjectUCTD
dc.subject.otherSDG-7: Affordable and clean energy
dc.titleThe Perceived Business Value of a Business Intelligence System in the South African Energy Sector
dc.typeDissertation
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