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Analyzing IT Impact on Organizational Structure: A Case Study
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
2009 (English)In: PROCEEDINGS OF PICMET 09: TECHNOLOGY MANAGEMENT IN THE AGE OF FUNDAMENTAL CHANGE, NEW YORK: IEEE , 2009, 3113-3126 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
NEW YORK: IEEE , 2009. 3113-3126 p.
Keyword [en]
INFORMATION TECHNOLOGY, INFLUENCE DIAGRAMS
National Category
Computer and Information Science Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-29850DOI: 10.1109/PICMET.2009.5262275ISI: 000277502501119Scopus ID: 2-s2.0-70450176313ISBN: 978-1-8908-4319-9 (print)OAI: oai:DiVA.org:kth-29850DiVA: diva2:399775
Conference
Conference of the Portland-International-Center-for-Management-of-Engineering-and-Technology (PICMET 2009), Portland, OR, AUG 02-06, 2009
Note
QC 20110222Available from: 2011-02-23 Created: 2011-02-17 Last updated: 2011-02-23Bibliographically approved

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