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

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.

Publication DOI: https://doi.org/10.4018/jgim.334015
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences
College of Business and Social Sciences > Aston Business School > Economics, Finance & Entrepreneurship
College of Business and Social Sciences > Aston Business School > Accounting
Additional Information: This article published as an Open Access article distributed under the terms of the Creative Commons Attribution License (https://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.
Uncontrolled Keywords: Information Systems and Management,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management
Publication ISSN: 1533-7995
Last Modified: 15 Apr 2024 07:44
Date Deposited: 19 Dec 2023 16:00
Full Text Link:
Related URLs: https://www.igi ... /article/334015 (Publisher URL)
PURE Output Type: Article
Published Date: 2023-11-22
Accepted Date: 2023-11-01
Authors: Chang, Victor (ORCID Profile 0000-0002-8012-5852)
Kozah, Vincent Andrew
Xu, Qianwen Ariel (ORCID Profile 0000-0003-0360-7193)
Shi, Yujie
Chen, Xihui Haviour
Mills, Jonathan (ORCID Profile 0000-0001-7904-4919)

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