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        Information technology project manager's competencies

        an analysis of performance and personal competencies

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        Author(s)
        Marnewick, Carl
        Erasmus, Wikus
        Joseph, Nazeer
        Language
        English
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        Abstract
        The purpose of this book is to shed light on the performance and personal competencies of information technology (IT) project managers in South Africa. Predictive models are built to determine what project managers consider the crucial competencies they should possess to deliver an IT project successfully. This investigation takes place in the context of poor IT project success rates globally and, in particular, in South Africa. This novel research seeks to extend the debate on project success beyond what merely constitutes success or failure, but seeks to find clarity in what IT project managers believe are the essential competencies in practice. This quantitative research gathered data by way of an online survey based on literature regarding the Project Management Competency Development Framework (PMCDF). The population consisted of IT project managers in South Africa. Four hundred and two respondents chose to share their insights. Through the use of descriptive and multivariate statistics, major competency factors were identified. These factors were used in structural equation modelling to build various validated predictive models. This book contributes to the current body of knowledge by uncovering the competencies that IT project managers consider themselves competent in. The structural equation models indicated predictors of perceived competence by IT project managers and where these perceived competencies differ from literature. Twelve managerial implications are highlighted in the final chapter that seek to draw the myriad of threads together into a coherent summary. It is apparent that IT project managers do not consider the PMCDF important in its entirety, but instead choose to focus on certain competencies. This book is intended for reading by fellow researchers as well as project and IT practitioners. These may include IT managers, IT executives, project managers, project team members, the project management office (PMO), general managers and executives that initiate and conduct project-related work. This body of work is original and has not been plagiarised, although certain concepts have been tested in peer reviewed academic work by way of conference proceedings. Instances of this have been referenced and cited. This book is in its first edition and has not been based on thesis work published previously
        URI
        http://library.oapen.org/handle/20.500.12657/31810
        Keywords
        compentencies; structural equation modelling; information technology; project management; Cognition; Correlation and dependence
        DOI
        10.4102/aosis.2016.itpmc07
        ISBN
        9781928396055
        OCN
        982239268
        Publisher
        AOSIS
        Publisher website
        https://books.aosis.co.za/index.php/ob
        Publication date and place
        Durbanville, 2016
        Grantor
        • University of Johannesburg
        Imprint
        AOSIS
        Classification
        Project management
        Pages
        270
        Public remark
        Relevant Wikipedia pages: Cognition - https://en.wikipedia.org/wiki/Cognition; Correlation and dependence - https://en.wikipedia.org/wiki/Correlation_and_dependence; Project management - https://en.wikipedia.org/wiki/Project_management; Project Management Institute - https://en.wikipedia.org/wiki/Project_Management_Institute; Project manager - https://en.wikipedia.org/wiki/Project_manager; Project plan - https://en.wikipedia.org/wiki/Project_plan; Project stakeholder - https://en.wikipedia.org/wiki/Project_stakeholder; Project team - https://en.wikipedia.org/wiki/Project_team
        Rights
        https://creativecommons.org/licenses/by-nc-sa/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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