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Title: The intangible value of Business Intelligence in the UK public sector : a qualitative approach
Author: Fass, Sebastian
Awarding Body: University of Brighton
Current Institution: University of Brighton
Date of Award: 2013
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The aim of this thesis is to investigate the intangible value of Business Intelligence. Business Intelligence (BI) projects are not exempt from the increasing pressure to justify IT investment using quantitative methods such as Return on Investment (ROI). Whether the full potential of BI investments can be explained solely in monetary terms is the core question of this research project. Other research projects have indicated that there is more than monetary advantage in BI. These non-monetary advantages play a major role, and organisations can gain significant competitive advantages by utilising BI effectively. The research approach used in this thesis consists of two research stages, and is of an exploratory and explanatory nature. The first part consists of qualitative content analysis of BI vendors' marketing material. The second part consists of three case studies in the UK public sector. The value of this project, i.e. its original contribution to knowledge, consists of rich insights into the topic and a conceptual framework which explains the foundations of effective Business Intelligence. Moreover, the thesis explores the gap between academia and practice regarding BI and business value of BI. It shows that BI is more than an IT solution and highlights the importance of the BI users. The work delivers rich insights into the intangible value ofBI. An intangible keyword list, which has been derived out of the BI vendors' marketing material, proved to be of significant value for the project itself and for the project's environment. The list can be seen as the invention of a new vocabulary for BI decision-makers, because it makes the terms "non-monetary advantages" and "intangible value" more comprehensible. Due to the high practical relevance of this piece of research, a conceptual framework for decision-makers is presented. This recommended framework shows in a simplified way how BI investments lead to monetary and non-monetary advantages and how these advantages are related to one another. The thesis also shows that BI investments eventually lead to tangible outcomes sooner or later. The framework helps to exploit existing and new BI solutions more optimally and reduces the uncertainties when deciding on BI investments.
Supervisor: Reeve, Steve Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available