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dc.contributor.authorStanding, C.
dc.contributor.authorGuilfoyle, A.
dc.contributor.authorLin, Chad
dc.contributor.authorLove, Peter
dc.date.accessioned2017-01-30T14:51:14Z
dc.date.available2017-01-30T14:51:14Z
dc.date.created2014-10-28T02:23:12Z
dc.date.issued2006
dc.identifier.citationStanding, C. and Guilfoyle, A. and Lin, C. and Love, P. 2006. The Attribution of Success and Failure in IT Projects. Industrial Management and Data Systems. 106 (8): pp. 1148-1165.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/41410
dc.identifier.doi10.1108/02635570610710809
dc.description.abstract

Purpose – The purpose of this research is to determine how project managers attribute information technology (IT) project success and failure. Design/methodology/approach – IT personnel from large Australian organisations completed an adapted version of the Attributional Styles questionnaire, which asked them to attribute causes along a number of attribution dimensions, for IT projects which have either succeeded or failed. Findings – The results indicate that IT support workers attribute failure to external factors, whilst attributing success to themselves. On the other hand, executive management took a more balanced perspective which attribute success to external factors and only partially to themselves, whereas they attribute significant personal responsibility for failure. Practical implications – More junior professionals and operational IT employees can learn from their senior professionals in attributing success and failure. Post‐implementation reviews and debriefings conducted by senior IT professionals are ways of passing on their experience in relation to project and self‐evaluations. Originality/value – This paper takes a well established psychology theory and applies it to the management of information systems (IS)/IT projects. IS/IT research has not examined how IT professionals attribute success and failure within projects.

dc.publisherEmerald Group Publishing
dc.titleThe Attribution of Success and Failure in IT Projects
dc.typeJournal Article
dcterms.source.volume106
dcterms.source.number8
dcterms.source.startPage1148
dcterms.source.endPage1165
dcterms.source.issn02635577
dcterms.source.titleIndustrial Management and Data Systems
curtin.accessStatusFulltext not available


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