Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: The effectiveness of the IpOp model decision tree to calibrate projects at the pre-project stage
Authors: Müller, Nadina
Moses, Mark
Cohen, Raphaël
et. al: No
Published in: International Journal of Business and Globalisation
Issue Date: 2020
Publisher / Ed. Institution: Inderscience
ISSN: 1753-3627
Language: English
Subjects: Project evaluation; Pre-project stage; Innovation
Subject (DDC): 658.4: Executive Management
Abstract: Literature supports the idea that projects delivering the target objective on time and within the anticipated budget represent less than 30% of all projects. Even though failure advances the learning curve, this low success rate equals a vast waste of resources. Based on practical experience, the authors hypothesise that - low project success rates are linked to inadequate project selection methodologies or their inconsistent application; - the IpOp Model Decision Tree could improve the selection of worthy projects. An online survey was carried out to determine (i) project success rate and (ii) links between project performance and selection parameters. Results show the importance of rigour in project selection in order to reduce waste of resources, while no clear correlation between the number of selection criteria could be proven. Further, the results indicate that practitioners consider the IpOp Model Decision Tree to evaluate projects at pre-project stage an improvement over current practice.
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Food and Beverage Innovation (ILGI)
Appears in Collections:Publikationen Life Sciences und Facility Management

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