Audzeyeva, A and Hudson, R (2015) How to get the most from a business intelligence application during the post implementation phase? Deep structure transformation at a UK retail bank. European Journal of Information Systems, 25. pp. 29-46.

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Abstract

This paper focuses on the process of maximizing the benefits from a business intelligence (BI) application. A general theoretical framework of analysis is formulated based on previous research into organizational deep structure and inertia. Our framework is applied to a case study of a U.K. retail bank which used an existing customer profitability BI application to transform its marketing strategy. We find that an organization’s ability to extract strategic BI benefits is influenced by its deep structure (core beliefs, organizational structures, control systems and distribution of power) and also by its ability to overcome the effects of the multiple inertia sources that the deep structure generates. Organizations should therefore carefully consider the effects of multidimensional organizational inertia and aim to manage inertia sources in respect to information from BI applications when links that embed the BI into an organization as a whole are developed and maintained. We also present generally applicable insights into enhancing the delivery of informative long-term BI decision support for organizations.

Item Type: Article
Additional Information: This is a post-peer-review, pre-copyedit version of an article published in European Journal of Information Systems. The definitive publisher-authenticated version Audzeyeva, A. & Hudson, R., 2015. How to get the most from a business intelligence application during the post implementation phase? Deep structure transformation at a U.K. retail bank. Eur J Inf Syst, 25(1), pp.29–46 is available online at http://dx.doi.org/10.1057/ejis.2014.44
Uncontrolled Keywords: business intelligence, BI benefits, organizational transformation, organizational inertia, deep structure, retail banking
Subjects: H Social Sciences > HF Commerce
H Social Sciences > HG Finance
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Divisions: Faculty of Humanities and Social Sciences > Keele Management School
Depositing User: Symplectic
Date Deposited: 29 Apr 2016 08:05
Last Modified: 08 May 2019 13:23
URI: http://eprints.keele.ac.uk/id/eprint/1693

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