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dc.contributor.authorMüller, Nadina-
dc.contributor.authorMoses, Mark-
dc.contributor.authorCohen, Raphaël-
dc.date.accessioned2020-10-01T14:14:53Z-
dc.date.available2020-10-01T14:14:53Z-
dc.date.issued2020-
dc.identifier.issn1753-3627de_CH
dc.identifier.issn1753-3635de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/20528-
dc.description.abstractLiterature 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.de_CH
dc.language.isoende_CH
dc.publisherIndersciencede_CH
dc.relation.ispartofInternational Journal of Business and Globalisationde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectProject evaluationde_CH
dc.subjectPre-project stagede_CH
dc.subjectInnovationde_CH
dc.subject.ddc658.4: Leitendes Managementde_CH
dc.titleThe effectiveness of the IpOp model decision tree to calibrate projects at the pre-project stagede_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Lebensmittel- und Getränkeinnovation (ILGI)de_CH
dc.identifier.doi10.1504/IJBG.2020.10038787de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedLM-Technologiede_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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Müller, N., Moses, M., & Cohen, R. (2020). The effectiveness of the IpOp model decision tree to calibrate projects at the pre-project stage. International Journal of Business and Globalisation. https://doi.org/10.1504/IJBG.2020.10038787
Müller, N., Moses, M. and Cohen, R. (2020) ‘The effectiveness of the IpOp model decision tree to calibrate projects at the pre-project stage’, International Journal of Business and Globalisation [Preprint]. Available at: https://doi.org/10.1504/IJBG.2020.10038787.
N. Müller, M. Moses, and R. Cohen, “The effectiveness of the IpOp model decision tree to calibrate projects at the pre-project stage,” International Journal of Business and Globalisation, 2020, doi: 10.1504/IJBG.2020.10038787.
MÜLLER, Nadina, Mark MOSES und Raphaël COHEN, 2020. The effectiveness of the IpOp model decision tree to calibrate projects at the pre-project stage. International Journal of Business and Globalisation. 2020. DOI 10.1504/IJBG.2020.10038787
Müller, Nadina, Mark Moses, and Raphaël Cohen. 2020. “The Effectiveness of the IpOp Model Decision Tree to Calibrate Projects at the Pre-Project Stage.” International Journal of Business and Globalisation. https://doi.org/10.1504/IJBG.2020.10038787.
Müller, Nadina, et al. “The Effectiveness of the IpOp Model Decision Tree to Calibrate Projects at the Pre-Project Stage.” International Journal of Business and Globalisation, 2020, https://doi.org/10.1504/IJBG.2020.10038787.


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