DETERMINING BUSINESS INTELLIGENCE ADOPTION STAGES FOR APPAREL SMMES IN DURBAN, SOUTH AFRICA
Received: 09th October 2023; Revised: 26th October 2023, 18th December 2023; Accepted: 20th December 2023
Keywords:
Business Intelligence, Diffusion of Innovation, SMMEsAbstract
This study aims to construct and validate the T-O-E framework by examining factors influencing the adoption of business intelligence (BI). The study utilised data from a sample of 161 small, medium, and micro enterprises (SMMEs) to examine the impact of technological, organisational, and environmental factors on the adoption stages of business information systems (BIS). The analysis was conducted using the partial least squares structural equation modelling (PLS-SEM) approach. This study presents empirical findings on the influence of technological, organisational, and environmental factors on the various stages of individual business intelligence (BI) adoption. This study presents implications for managers and BI providers to enhance their understanding of the impact of several determinants to reach conclusions more efficiently on the adoption process. The findings from this study were that none of the three adoption stages namely evaluation, adoption and usage are significant for the apparel SMME sector in Durban. The recommendations for future research would be to investigate if SMMEs really need BI for the sustainability of their businesses. A recommended objective for this study would be to identify the success measures of SMMEs utilising BI in comparison to SMMEs who have not implemented BI.
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