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The influence of the practices of big data analytics applications on bank performance: filed study

The influence of the practices of big data analytics applications on bank performance: filed study This paper aims to examine factors influencing the practices of big data analytics applications by commercial banks operating in Jordan and their bank performance.Design/methodology/approachA conceptual framework was developed in this regard based on a comprehensive literature review and the Technology–Environment–Organization (TOE) model. A quantitative approach was used, and the data was collected from 235 commercial banks’ senior and middle managers (IT, financial and marketers) using both online and paper-based questionnaires.FindingsThe results showed that the extent of the practices of big data analytics applications by commercial banks operating in Jordan is considered to be moderate (i.e. 60%). The results indicated that 61% of the variation on the practices of big data analytics applications by commercial banks could be predicated by TOE model. The organizational factors were found the most important predictors. The results also provide empirical evidence that the extent of practices of big data analytics applications has a positive influence on the bank performance. In the final section, research implications and future directions are presented.Originality/valueThis paper contributes to theory by filling a gap in the literature regarding the extent of the practices of big data analytics applications by commercial banks operating in developing countries, such as Jordan. It empirically examines the impact of the practices of big data analytics applications on bank performance. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png VINE Journal of Information and Knowledge Management Systems Emerald Publishing

The influence of the practices of big data analytics applications on bank performance: filed study

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2059-5891
eISSN
2059-5891
DOI
10.1108/vjikms-08-2020-0151
Publisher site
See Article on Publisher Site

Abstract

This paper aims to examine factors influencing the practices of big data analytics applications by commercial banks operating in Jordan and their bank performance.Design/methodology/approachA conceptual framework was developed in this regard based on a comprehensive literature review and the Technology–Environment–Organization (TOE) model. A quantitative approach was used, and the data was collected from 235 commercial banks’ senior and middle managers (IT, financial and marketers) using both online and paper-based questionnaires.FindingsThe results showed that the extent of the practices of big data analytics applications by commercial banks operating in Jordan is considered to be moderate (i.e. 60%). The results indicated that 61% of the variation on the practices of big data analytics applications by commercial banks could be predicated by TOE model. The organizational factors were found the most important predictors. The results also provide empirical evidence that the extent of practices of big data analytics applications has a positive influence on the bank performance. In the final section, research implications and future directions are presented.Originality/valueThis paper contributes to theory by filling a gap in the literature regarding the extent of the practices of big data analytics applications by commercial banks operating in developing countries, such as Jordan. It empirically examines the impact of the practices of big data analytics applications on bank performance.

Journal

VINE Journal of Information and Knowledge Management Systems – Emerald Publishing

Published: Jan 2, 2023

Keywords: Big data; Bank performance; Big data analytics; TOE model; Organizational factors; Technological factors; Environmental factors

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