BUSINESS INTELLIGENCE AND PERFORMANCE OF THE STANDARD BANK OF SOUTH AFRICA LIMITED

Yonney Atsu Ahlijah
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Yonney Atsu Ahlijah: Faculty of Computer Science & Engineering, Kings University College, Accra, Ghana.

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Abstract: As the need to quantify the contribution of business intelligence deployment on the optimization of firms in general (and banks in particular) continues to take critical dimension among business and policy makers, this parametric quantitative research investigates the association between business intelligence and performance using 2010 – 2019 (10 years) audited data of the Standard Banks of South Africa Limited. The theoretical underpin of the work is the famous Technology-Organisation-Environment (TOE) theory. The net book values of computer hardware and software measured the technological dimension of the TOE framework). The size (total assets) of Standard Bank of South Africa measured the organisational dimension of the TOE framework. Finally, employees (total personnel cost) measured the environmental dimension of the TOE framework. Profitability and Shareholder value measured the performance of the bank within the period under study. Descriptive and inferential quantitative research analyses were carried out with the aid of the Statistical Package for Social Sciences (SPSS); and the Pearson correlation analysis established that; (i) software investment, bank size, and employee cost have significant positive association with profitability and shareholder value; (ii) hardware investment has significant negative association with profitability and shareholder value; and (iii) Employee quality (staff cost) has the highest significant positive effect on both profitability and shareholder value. The relevance of the TOE theory is established in this study; and the need for banks to optimize their TOE investment mix in order to maximize their profitability and shareholder value was stressed. The study recommends that further comparative studies within and across industries and countries to be carried out for better generalization of the findings of this work or vice versa.

Date: 2022-01-13
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Published in Asian Journal of Advances in Research, 2022, 5 (1), pp.98-112

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