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    An overview of project data for integrated project management and control

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    Publication type
    Journal article
    Author
    Vanhoucke, Mario
    Coelho, José
    Batselier, Jordy
    Publication Year
    2016
    Journal
    Journal of Modern Project Management
    Publication Volume
    3
    Publication Issue
    2
    Publication Begin page
    6
    Publication End page
    21
    
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    Abstract
    In this paper, an overview is given of the project data instances available in the literature to carry out academic research in the field of integrated project management and control. This research field aims at integrating static planning methods and risk analyses with dynamic project control methodologies using the state-of-the-art knowledge from literature and the best practices from the professional project management discipline. Various subtopics of this challenging discipline have been investigated from different angles, each time using project data available in literature, obtained from project data generators or based on a sample of empirical case studies. This paper gives an overall overview of the wide variety of project data that are available and are used in various research publications. It will be shown how the combination of artificial data and empirical data leads to improved knowledge on and deeper insights into the structure and characteristics of projects useful for academic research and professional use. While the artificial data can be best used to test novel ideas under a strict design in a controlled academic environment, empirical data can serve as the necessary validation step to translate the academic research results into practical ideas, aiming at narrowing the bridge between the theoretical knowledge and practical relevance.
    Keyword
    Operations & Supply Chain Management
    Knowledge Domain/Industry
    Operations & Supply Chain Management
    URI
    http://hdl.handle.net/20.500.12127/5498
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