Managing portfolio interdependencies: The effects of visual data representations on project portfolio decision making

Killen, CP

Managing portfolio interdependencies: The effects of visual data representations on project portfolio decision making

Killen, CP

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Publication Type:: Journal Article
Citation:: International Journal of Managing Projects in Business, 2017, 10 (4), pp. 856 - 879
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Killen, CP https://orcid.org/0000-0002-2370-7856	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	International Journal of Managing Projects in Business, 2017, 10 (4), pp. 856 - 879	en_US
dc.identifier.issn	1753-8378	en_US
dc.identifier.uri	http://hdl.handle.net/10453/123670
dc.description.abstract	© 2017, © Emerald Publishing Limited. Purpose: The purpose of this paper is to improve decision quality, and therefore project and portfolio success, by testing the influence of different visual representations of interdependency data in a simulated decision experiment. A network mapping approach to visualize project interdependencies is introduced and compared with matrix and tabular displays. Design/methodology/approach: A simulated decision task in a controlled classroom setting tested five hypotheses though a sample of 480 experiments. Findings: The type of data representation used is associated with differing levels of decision quality, and the use of network mapping displays is aligned with the best results. Research limitations/implications: The findings are limited as this experiment-based study presented a simplified decision scenario and involved students rather than practicing managers. The findings are best interpreted in combination with organization-based research. Practical implications: The findings of this study suggest that visual data displays, particularly network mapping displays, can provide benefits and improve project portfolio decision quality. Managers may draw upon this study to design ways to include visual data representations in their project portfolio management decision processes. Originality/value: This study uses experimentation to complement organization-based studies to better understand the influence of different methods of visualizing data and managing interdependencies between projects. This research provides an important contribution to meet the acknowledged need for better tools to understand and manage project interdependencies.	en_US
dc.relation.ispartof	International Journal of Managing Projects in Business	en_US
dc.relation.isbasedon	10.1108/IJMPB-01-2017-0003	en_US
dc.title	Managing portfolio interdependencies: The effects of visual data representations on project portfolio decision making	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	10	en_US
utslib.for	1503 Business and Management	en_US
utslib.for	1202 Building	en_US
utslib.for	12 Built Environment and Design	en_US
utslib.for	15 Commerce, Management, Tourism and Services	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
utslib.copyright.status	open_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	10	en_US

Abstract:

© 2017, © Emerald Publishing Limited. Purpose: The purpose of this paper is to improve decision quality, and therefore project and portfolio success, by testing the influence of different visual representations of interdependency data in a simulated decision experiment. A network mapping approach to visualize project interdependencies is introduced and compared with matrix and tabular displays. Design/methodology/approach: A simulated decision task in a controlled classroom setting tested five hypotheses though a sample of 480 experiments. Findings: The type of data representation used is associated with differing levels of decision quality, and the use of network mapping displays is aligned with the best results. Research limitations/implications: The findings are limited as this experiment-based study presented a simplified decision scenario and involved students rather than practicing managers. The findings are best interpreted in combination with organization-based research. Practical implications: The findings of this study suggest that visual data displays, particularly network mapping displays, can provide benefits and improve project portfolio decision quality. Managers may draw upon this study to design ways to include visual data representations in their project portfolio management decision processes. Originality/value: This study uses experimentation to complement organization-based studies to better understand the influence of different methods of visualizing data and managing interdependencies between projects. This research provides an important contribution to meet the acknowledged need for better tools to understand and manage project interdependencies.

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http://hdl.handle.net/10453/123670