Action learning for simulation design in project portfolios

Sankaran, S; Shalbafan, S; Leigh, E; Pollack, J

Action learning for simulation design in project portfolios

Sankaran, S

Shalbafan, S Leigh, E Pollack, J

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Publisher:: Action Learning, Action Research Association Ltd
Publication Type:: Journal Article
Citation:: ALAR Journal, 2021, 27, (2), pp. 65-91
Issue Date:: 2021-12-31

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	2021 ALARj Shalbafan Sankaran Leigh Pollack PPM Simulation.pdf	Published version	362.7 kB	Adobe PDF	View/Open

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Field	Value	Language
dc.contributor.author	Sankaran, S https://orcid.org/0000-0001-5485-6216
dc.contributor.author	Shalbafan, S
dc.contributor.author	Leigh, E
dc.contributor.author	Pollack, J
dc.date.accessioned	2022-01-12T23:21:11Z
dc.date.available	2022-01-12T23:21:11Z
dc.date.issued	2021-12-31
dc.identifier.citation	ALAR Journal, 2021, 27, (2), pp. 65-91
dc.identifier.issn	1326-964X
dc.identifier.issn	2206-611X
dc.identifier.uri	http://hdl.handle.net/10453/153014
dc.description.abstract	Accessing reliable data from within organisations is become more difficult as the business environment becomes ever more complex and there are increasing concerns about breaching 'commercial in confidence’ requirements. Research that explores important project portfolio management problems are similarly complex due to confidentiality issues faced by businesses. This paper discusses lessons learned from the development of a simulation called HOOSHMAND-1 (meaning ‘Intelligent’ in Persian) in response to the question: how could an Action Learning approach help to develop a more robust simulation as a research method? It explains how several cycles of Action Learning contributed to the development of a role play simulation which now aids in learning about decision making processes in complicated and complex conditions while making decisions on project portfolios. The process delivered a new research tool and demonstrated how appropriate use of Action Learning cycles can enable researchers to conduct innovative research when real world contexts are not readily accessible.
dc.language	en
dc.publisher	Action Learning, Action Research Association Ltd
dc.relation.ispartof	ALAR Journal
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Action learning for simulation design in project portfolios
dc.type	Journal Article
utslib.citation.volume	27
utslib.location.activity	Australia
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
pubs.organisational-group	/University of Technology Sydney/Strength - CCDP - Contemporary Design Practice
pubs.organisational-group	/University of Technology Sydney/e-Press
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2022-01-12T23:21:10Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	27
utslib.citation.issue	2

Abstract:

Accessing reliable data from within organisations is become more difficult as the business environment becomes ever more complex and there are increasing concerns about breaching 'commercial in confidence’ requirements. Research that explores important project portfolio management problems are similarly complex due to confidentiality issues faced by businesses. This paper discusses lessons learned from the development of a simulation called HOOSHMAND-1 (meaning ‘Intelligent’ in Persian) in response to the question: how could an Action Learning approach help to develop a more robust simulation as a research method? It explains how several cycles of Action Learning contributed to the development of a role play simulation which now aids in learning about decision making processes in complicated and complex conditions while making decisions on project portfolios. The process delivered a new research tool and demonstrated how appropriate use of Action Learning cycles can enable researchers to conduct innovative research when real world contexts are not readily accessible.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/153014