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How to select measures for decision support systems : An optimization approach integrating informational and economic objectives

Title data

Röglinger, Maximilian:
How to select measures for decision support systems : An optimization approach integrating informational and economic objectives.
2009
Event: 17th European Conference on Information Systems (ECIS) , 8.-10. Juni 2009 , Verona, Italy.
(Conference item: Conference , Paper )

Official URL: Volltext

Abstract in another language

It is still an open issue of designing and adapting(data-driven) decision support systems and data warehouses to determine relevant content and in particular (performance) measures. In fact, some classic approaches to information requirements determination, such as Rockart’s critical success factors method, provide valuable assistance with structuring decision makers’ information requirements and identifying thematically appropriate measures. In many cases, however, it remains unclear which and how many measures should eventually be used. Therefore, an optimization model is presented that integrates informational and economic objectives. The model incorporates (statistic) interdependencies among measures – i. e. the information they provide about one another –, decision makers’ and reporting tools’ ability of coping with information complexity as well as negative economic effects due to measure selection and usage. We show that in general the selection policies of all-or-none or the-more-the-better are not reasonable although they are often conducted in business practice. Finally, the model’s application is illustrated by the German business-to-business sales organization of a global electronics and electrical engineering company as example.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: decision support systems; information overload; critical success factors; design research
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management > Professorship Business Information Systems and Value Oriented Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 09 Apr 2015 06:29
Last Modified: 31 May 2017 12:38
URI: https://eref.uni-bayreuth.de/id/eprint/8269