OLANIYI, KEZIAH O. and Covenant University, Theses (2021) INVESTIGATING BUSINESS INTELLIGENCE AND ANALYTICS ON SMES COMPETITIVENESS: EVIDENCE FROM COMPUTER VILLAGE, LAGOS STATE. Masters thesis, COVENANT UNIVERSITY.
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Abstract
The issue of Business intelligence and Analytics (BI&A) adoption in businesses has always been a challenge to organisation especially SMEs. However, the idea has always been on how to adopt BI&A technology into the system of the business in boosting competitiveness and understanding importance of data collection. The main purpose of this study is to explores the impact of business intelligence and analytics on competitiveness of SMEs in Nigeria. Questionnaire were administered to the owners of SMEs at Computer village, Lagos state. A total of 384 copies of the questionnaire were administered to the owners of SMEs in Computer village. The analysis of the data collected was done using IBM SPSS (Statistical package for social science), structural equation model (SMART-PLS). the qualitative data was analysed and interpreted using thematic analysis. Result of data analysis showed that there exists positive relationship between construct of business intelligence and analytics and competitiveness. Based on the finding, the study recommended that organisation should imbibe the use of computer software foe easier access to information and also be updated about new technology application that is related to their firms, this will increase productivity and increase easy accountability. However, as technology keeps advancing SMEs continuously receives new methods and equipment for operation, it is imperative to offer practical training for effective results.
Item Type: | Thesis (Masters) |
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Uncontrolled Keywords: | Business intelligence and analytics, Competitiveness, SMEs |
Subjects: | H Social Sciences > H Social Sciences (General) |
Divisions: | Faculty of Law, Arts and Social Sciences > School of Social Sciences |
Depositing User: | Mrs Hannah Akinwumi |
Date Deposited: | 18 Oct 2021 12:14 |
Last Modified: | 18 Oct 2021 12:14 |
URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/15383 |
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