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Project agility assessment: An integrated decision analysis approach

Project agility assessment: An integrated decision analysis approach

Mafakheri, Fereshteh, Nasiri, Fuzhan and Mousavi, Mahmood (2008) Project agility assessment: An integrated decision analysis approach. Production Planning & Control, 19 (6). pp. 567-576. ISSN 0953-7287 (Print), 1366-5871 (Online) (doi:10.1080/09537280802360884)

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Abstract

Agility is the ability of a project to respond to a changing environment effectively. This may include the capability of a project to be adapted to the dynamism that exists in the stakeholders' needs, technological changes, etc. To assure such a capability, it is necessary to assess the extent of projects' adaptability to change. This could be done by expressing the agility in terms of some quantifiable parameters such as size of the project's organisation, levels of expertise, etc. However, there are uncertainties embedded in measurement of such parameters caused by imprecision and lack of well-defined information, which cannot be well treated by conventional assessment approaches. To address such a complexity, in this article, a decision aid model using fuzzy set theory is proposed for agility assessment of projects. The applicability of the proposed model will be demonstrated by a case study in software development project management.

Item Type: Article
Additional Information: [1] First published online: 05 Dec 2008. [2] Published in print: 2008. [3] Published as: Production Planning & Control, (2008), Vol. 19, (6), pp. 567-576.
Uncontrolled Keywords: agile project management, change management, decision making, integrated assessment, fuzzy set theory
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Faculty / Department / Research Group: Faculty of Business > Department of Systems Management & Strategy
Related URLs:
Last Modified: 14 Oct 2016 09:16
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/6395

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