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Modeling project criticality in IT project portfolios

Title data

Neumeier, Anna ; Radszuwill, Sven ; Zare Garizy, Tirazheh:
Modeling project criticality in IT project portfolios.
In: International Journal of Project Management. Vol. 36 (August 2018) Issue 6 . - pp. 833-844.
ISSN 0263-7863
DOI: https://doi.org/10.1016/j.ijproman.2018.04.005

Official URL: Volltext

Abstract in another language

Today’s IT project portfolios (ITPP) contain many projects and varied interdependencies. Depending on a
project’s criticality to the ITPP, a failure can have massive consequences. However, existing methods
usually only assess overall project portfolio risk and do not account for the criticality of single projects and
their dependencies. Applying Bayesian network modeling to ITPPs, we bridge this gap and extend the
current body of knowledge for the information systems and project management literatures. Our new
method analyzes single projects’ criticality in a portfolio context by considering both transitive
dependencies and different dependency types in an integrated way. Since we demonstrate that single
projects’ criticality can vary substantially, being aware of which projects are critical is a key success factor
for ITPP management. For practitioners, our method provides a straightforward procedure to enhance
ITPP risk management.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: IT Project Portfolio Management; IT Project Criticality; Bayesian Network; Interdependencies
Institutions of the University: Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Informations Systems and sustainable IT management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Informations Systems and sustainable IT management > Professorship Business Informations Systems and sustainable IT management- Univ.-Prof. Dr. Gilbert Fridgen
Research Institutions
Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS)
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
Research Institutions > Research Centres
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 21 Jun 2018 07:19
Last Modified: 31 Aug 2018 08:15
URI: https://eref.uni-bayreuth.de/id/eprint/44592