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The Effect of Information Resources Management in the UK on Financial Institutions

Chang, Victor; Kozah, Vincent Andrew; Xu, Qianwen Ariel; Shi, Yujie; Chen, Xihui Haviour; Mills, Jonathan

Authors

Victor Chang

Vincent Andrew Kozah

Qianwen Ariel Xu

Yujie Shi

Jonathan Mills



Abstract

The authors adopt the resource-based view (RBV) and information processing theory to discover the problems that impact the capital structure of financial institutions in the UK. Five firm-level explanatory variables (profitability, size, tangibility, age, and growth) were selected. The relevant capital structure measure was then regressed against the dependent variable leverage (debt-to-equity ratio). Consequently, correlation and multivariate regressions are applied to firm financial data from the selected financial institutions during the fiscal years 2011–2022. The primary conclusions of the study indicate that important information resources management variables for financial institutions in the UK are profitability and size. While the two other factors, profitability and growth, exhibit negative associations with capital structure, the remaining four variables, tangibility, size, age, and profitability, did not. The study reveals that optimal determinants of information resources management enhance financial performance in the case of top UK banks.

Citation

Chang, V., Kozah, V. A., Xu, Q. A., Shi, Y., Chen, X. H., & Mills, J. (2023). The Effect of Information Resources Management in the UK on Financial Institutions. Journal of Global Information Management, 31(1), 1-25. https://doi.org/10.4018/jgim.334015

Journal Article Type Article
Acceptance Date Nov 6, 2023
Publication Date Nov 22, 2023
Deposit Date Mar 4, 2024
Publicly Available Date Mar 5, 2024
Journal Journal of Global Information Management
Print ISSN 1062-7375
Electronic ISSN 1533-7995
Publisher IGI Global
Peer Reviewed Peer Reviewed
Volume 31
Issue 1
Pages 1-25
DOI https://doi.org/10.4018/jgim.334015
Keywords Information Systems and Management; Management Science and Operations Research; Strategy and Management; Computer Science Applications; Business and International Management

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Licence
https://creativecommons.org/licenses/by/4.0/

Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/

Copyright Statement
This article published as an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and production in any medium, provided the author of the original work and original publication source are properly credited.





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