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A business intelligence systems adoption framework for the small, medium, and micro-enterprises grocery retail sector : A case of Tshwane Metropolitan Municipality

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dc.contributor.advisor Munyoka, W.
dc.contributor.advisor Kadyamatimba, A.
dc.contributor.author Muleya, Ashlyn Ennie Stubbs
dc.date 2021
dc.date.accessioned 2021-06-30T09:33:36Z
dc.date.available 2021-06-30T09:33:36Z
dc.date.issued 2021-06-23
dc.identifier.citation Muleya, Ashlyn Ennie Stubbs (2021) A business intelligence systems adoption framework for the small, medium, and micro-enterprises grocery retail sector : A case of Tshwane Metropolitan Municipality. University of Venda, South Africa.<http://hdl.handle.net/11602/1700>
dc.identifier.uri http://hdl.handle.net/11602/1700
dc.description MCom (Business Information Systems) en_ZA
dc.description Department of Business Information Systems
dc.description.abstract Business Intelligence Systems (BIS) is regarded as a leveraging suite of tools and technologies to enhance the decision-making process of an organization by transforming data into valuable and actionable knowledge to gain a competitive advantage. While some small to medium enterprises (SMMEs) have adopted BIS technologies and are deriving benefits from them, others are confronted with a host of challenges when trying to adopt BIS. This study examined factors that are hampering the smooth adoption of BIS by SMMEs in the grocery retail sector in South Africa, focusing on the Tshwane Metropolitan Municipality, and proposed a suitable framework to guide such adoption. Three technology adoption models which underpinned this study are the technology acceptance model, task-technology fit model, and diffusion on innovation model. These models were integrated to develop a conceptual framework for the study. A survey research design was considered suitable for this study because it is the best method for generalizing the findings to the entire population. The study adopted a quantitative research approach, which is an approach for testing objective theories by examining the relationship among variables. In total, 300 close-ended questionnaires were distributed to SMMEs owners/managers around Pretoria. The data collected were analysed using the IBM SPSS version 27 software package. Multiple regression analysis was used to test the seven proposed hypotheses and to determine the statistical significance of each hypothesis. The final tested framework demonstrated that observability, trialability, perceived BIS ease of use, and perceived BIS usefulness were all positively correlated to BIS adoption. Furthermore, the framework also showed that BIS characteristics and task characteristics positively influence task technology fit. Recommendations are made for SMMEs to overcome barriers in adopting BIS, these are: there is a need for SMMEs management to invest in IT projects by allocating enough budget for technology purchase and implementation, sponsored IT support programs could enable SMMEs to increase their knowledge regarding the latest technologies they could adopt for their business, SME managers should be able to build a culture that is complimentary with technology and innovation and SMME managers should engage in strategic collaboration with other major business players to enhance learning experiences about BIS technologies. en_ZA
dc.description.sponsorship NRF en_ZA
dc.format.extent 1 online resource ()
dc.language.iso en en_ZA
dc.rights University of Venda
dc.subject Business Intelligence Systems en_ZA
dc.subject Grocery retail sector SMME's en_ZA
dc.subject BIS adoption en_ZA
dc.subject Technology Acceptance Model en_ZA
dc.subject Task-Technology fit model en_ZA
dc.subject Diffusion of Innovation en_ZA
dc.subject.ddc 658.4720968257
dc.subject.lcsh Business -- Information technology
dc.subject.lcsh Small business -- South Africa -- Gauteng
dc.subject.lcsh Grocery trade -- South Africa -- Gauteng
dc.subject.lcsh Food industry and trade -- South Africa -- Limpopo
dc.subject.lcsh Business intelligence -- South Africa -- Gauteng
dc.subject.lcsh Trade secrets -- South Africa -- Gauteng
dc.title A business intelligence systems adoption framework for the small, medium, and micro-enterprises grocery retail sector : A case of Tshwane Metropolitan Municipality en_ZA
dc.type Dissertation en_ZA


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