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

dc.contributor.advisorMunyoka, W.
dc.contributor.advisorKadyamatimba, A.
dc.contributor.authorMuleya, Ashlyn Ennie Stubbs
dc.date2021
dc.date.accessioned2021-06-30T09:33:36Z
dc.date.available2021-06-30T09:33:36Z
dc.date.issued2021-06-23
dc.descriptionMCom (Business Information Systems)en_ZA
dc.descriptionDepartment of Business Information Systems
dc.description.abstractBusiness 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.sponsorshipNRFen_ZA
dc.format.extent1 online resource ()
dc.identifier.apacitationMuleya, A. E. S. (2021). <i>A business intelligence systems adoption framework for the small, medium, and micro-enterprises grocery retail sector : A case of Tshwane Metropolitan Municipality</i>. (). . Retrieved from https://hdl.handle.net/11602/1700en_ZA
dc.identifier.chicagocitationMuleya, Ashlyn Ennie Stubbs. <i>"A business intelligence systems adoption framework for the small, medium, and micro-enterprises grocery retail sector : A case of Tshwane Metropolitan Municipality."</i> ., , 2021. https://hdl.handle.net/11602/1700en_ZA
dc.identifier.citationMuleya, 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.<https://hdl.handle.net/11602/1700>
dc.identifier.ris TY - Dissertation AU - Muleya, Ashlyn Ennie Stubbs AB - 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. DA - 2021-06-23 DB - ResearchSpace DP - Univen KW - Business Intelligence Systems KW - Grocery retail sector SMME's KW - BIS adoption KW - Technology Acceptance Model KW - Task-Technology fit model KW - Diffusion of Innovation LK - http://univendspace.univen.ac.za PY - 2021 T1 - A business intelligence systems adoption framework for the small, medium, and micro-enterprises grocery retail sector : A case of Tshwane Metropolitan Municipality TI - A business intelligence systems adoption framework for the small, medium, and micro-enterprises grocery retail sector : A case of Tshwane Metropolitan Municipality UR - https://hdl.handle.net/11602/1700 ER - en_ZA
dc.identifier.urihttps://hdl.handle.net/11602/1700
dc.identifier.vancouvercitationMuleya AES. A business intelligence systems adoption framework for the small, medium, and micro-enterprises grocery retail sector : A case of Tshwane Metropolitan Municipality. []. , 2021 [cited yyyy month dd]. Available from: https://hdl.handle.net/11602/1700en_ZA
dc.language.isoenen_ZA
dc.rightsUniversity of Venda
dc.subjectBusiness Intelligence Systemsen_ZA
dc.subjectGrocery retail sector SMME'sen_ZA
dc.subjectBIS adoptionen_ZA
dc.subjectTechnology Acceptance Modelen_ZA
dc.subjectTask-Technology fit modelen_ZA
dc.subjectDiffusion of Innovationen_ZA
dc.subject.ddc658.4720968257
dc.subject.lcshBusiness -- Information technology
dc.subject.lcshSmall business -- South Africa -- Gauteng
dc.subject.lcshGrocery trade -- South Africa -- Gauteng
dc.subject.lcshFood industry and trade -- South Africa -- Limpopo
dc.subject.lcshBusiness intelligence -- South Africa -- Gauteng
dc.subject.lcshTrade secrets -- South Africa -- Gauteng
dc.titleA business intelligence systems adoption framework for the small, medium, and micro-enterprises grocery retail sector : A case of Tshwane Metropolitan Municipalityen_ZA
dc.typeDissertationen_ZA

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