Title :
Analyzing IT impact on organizational structure: A case study
Author :
Gustafsson, Pia ; Höök, David ; Ericsson, Evelina ; Lilliesköld, Joakim
Author_Institution :
Dept. of Ind. Inf. & Control Syst., R. Inst. of Technol., Stockholm, Sweden
Abstract :
Each year companies spend millions of dollars on IT investments hoping they will lead to higher profits. There are many methods for analyzing what these investments actually bring back to the companies, but unfortunately they are not stringent enough to make the analysis repeatable. This means that different investments cannot be compared to each other. The management paradigm of Enterprise Architecture (EA) is commonly used to structure a company from a holistic perspective. In this paper, an EA framework for assessing IT-systems´ impact on an organization´s business value through changes in its structure is validated. The foundation of the framework is a Bayesian inference engine allowing quantified analysis. For practical usage, this analysis framework is also expressed through modeling the organization with a metamodel. Together they form a structured method for quantitative analysis of the IT impact on organizations. An IT system for maintenance management within a European electric power utility has been used as a case study to validate the method. The organization and IT support have been modeled using the proposed metamodel and thereafter analyzed with the Bayesian network. The study has been conducted using guided interviews and a survey. The results from this study of how the business value has been influenced are compared to the user´s perceptions on how the business values have changed are also presented in this paper.
Keywords :
belief networks; corporate modelling; information technology; investment; maintenance engineering; organisational aspects; Bayesian inference engine; Bayesian network; European electric power utility; IT impact; IT investments; enterprise architecture; maintenance management; organization business value; organizational structure; Bayesian methods; Companies; Control systems; Electrical equipment industry; Industrial control; Information analysis; Investments; Power system modeling; Usability; Visualization;
Conference_Titel :
Management of Engineering & Technology, 2009. PICMET 2009. Portland International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
978-1-890843-20-5
Electronic_ISBN :
978-1-890843-20-5
DOI :
10.1109/PICMET.2009.5262275