BRADFORD SCHOLARS

    • Sign in
    View Item 
    •   Bradford Scholars
    • Management and Law
    • Management and Law Publications
    • View Item
    •   Bradford Scholars
    • Management and Law
    • Management and Law Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Bradford ScholarsCommunitiesAuthorsTitlesSubjectsPublication DateThis CollectionAuthorsTitlesSubjectsPublication Date

    My Account

    Sign in

    HELP

    Bradford Scholars FAQsCopyright Fact SheetPolicies Fact SheetDeposit Terms and ConditionsDigital Preservation Policy

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Information systems project failure – analysis of causal links using interpretive structural modelling

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    View/Open
    hughes_et_al_2016 (648.4Kb)
    Download
    Publication date
    2016-12
    Author
    Hughes, D.L.
    Dwivedi, Y.K.
    Rana, Nripendra P.
    Simintiras, A.C.
    Keyword
    Failure factors
    Information systems
    Interpretive structural modelling
    Project management
    Rights
    © 2016 Taylor & Francis. The Version of Record of this manuscript has been published and is available in Production Planning and control, 2016, https://doi.org/10.1080/09537287.2016.1217571.
    Peer-Reviewed
    Yes
    
    Metadata
    Show full item record
    Abstract
    The analysis of the root causes of information systems project failure has been the subject of intense scrutiny for some time within industry and the academic community. Researchers have developed various models, notions of failure and categorisations to succinctly classify project failure into a set of key factors for organisations and project managers to focus on in their attempts to avoid failure. This study incorporates a technique titled: interpretive structural modelling as the methodology to formalise the relationships between the selected failure factors. This approach is positioned as a mechanism that can yield greater insights into the relationships between the factors surrounding project failure, thereby developing a better understanding of how these relationships can have a bearing on project outcomes. The findings identify key driving variables that are presented as having significant impact on the other factors within the model. A number of variables are also identified as being heavily dependent on other connected factors highlighting that a failure in one or more of these connected factors is likely to result in a failure in one or more of the dependent factors unless timely steps are taken to address these key issues. This research details a number of practical implications for senior management and project managers as well as the academic community. These considerations form an underlying thread within this study as specific practice-related implications are highlighted and discussed throughout the study.
    URI
    http://hdl.handle.net/10454/18079
    Version
    Accepted manuscript
    Citation
    Hughes DL, Dwivedi YK, Rana NP et al (2016) Information systems project failure – analysis of causal links using interpretive structural modelling. Production Planning and Control. 27(16): 1313-1333.
    Link to publisher’s version
    https://doi.org/10.1080/09537287.2016.1217571
    Type
    Article
    Collections
    Management and Law Publications

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.