Understanding big data driven decision making in British
financial organisations

Ali, MB; Wood-Harper, T; Wood, R

Abstract

Although big data can enhance financial decision-making in organisations (e.g., predicting financial performance), the epistemological argument of big data is that knowledge or truth which relies on (big) data needs to first be generated to make key decisions. Despite big data having the potential to enhance
organisational decision-making, little empirical research has been conducted on the epistemology of big data driven financial decision-making. This paper uses knowledge management reliability (KMR) theory, as well as an interpretive strategy and expert interviews to contribute to the existing body of
knowledge to understand the epistemological implications of decision-making with large data sets to predict financial performance in British banks. Our findings reveal a shift toward knowledge based data-driven decision making for predicting financial performance

Citation

financial organisations. Presented at UK Academy for Information Systems Conference Proceedings 2022, Virtual

• Presentation Conference Type: Other
• Conference Name: UK Academy for Information Systems Conference Proceedings 2022
• Conference Location: Virtual
• Start Date: Jul 1, 2022
• Publication Date: Jul 13, 2022
• Deposit Date: Oct 13, 2022
• Publicly Available Date: Oct 13, 2022
• Publisher URL: https://aisel.aisnet.org/ukais2022/13
• Additional Information: Event Type : Conference