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    Making use a new open-multipurpose framework for more realistic estimation process in project management

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    hussain_lazarski_2016.pdf (436.3Kb)
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    Publication date
    2016
    Author
    Hussain, Zahid I.
    Lazarski, A.B.
    Keyword
    Knowledge-based estimation
    Project management
    Estimation process
    Estimation framework
    Estimation technique
    Estimation-related risk
    Project scheduling
    Critical chain
    Buffer management
    Rights
    © 2016 The Authors. Full-text reproduced with author permission.
    Peer-Reviewed
    Yes
    
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    Abstract
    The current turbulent times call for adaptability, especially in non-repetitive endeavours being a vital characteristic of project management. The research organized along five objectives commenced in the autumn of 2008 with a pilot study. Then it proceeded through an inductive research process, involving a series of interviews with well-recognized international experts in the field. In addition conceptualized long-running observation of forty-five days was used, before proposal of a new framework for improving the accuracy of estimates in project management. Furthermore, the framework’s “know-how to apply” description have been systematically reviewed through the course of four hundred twenty-five days of meetings. This achieved socially agreed understanding assured that it may be possible to improve accuracy of estimates, while having flexible, adaptable framework exploiting dependency between project context and conditioned by it, use of tools and techniques.
    URI
    http://hdl.handle.net/10454/16242
    Version
    Published version
    Citation
    Hussain ZI and Lazarski AB (2016) Making use a new open-multipurpose framework for more realistic estimation process in project management. In: Proceedings of the British Academy of Management Annual Conference. BAM2016. 6-8 Sep 2016. Newcastle University, Newcastle, UK.
    Link to publisher’s version
    http://conference.bam.ac.uk/BAM2016/htdocs/conference_papers.php?track_name=%20Organisational%20Transformation,%20Change%20and%20Development
    Type
    Conference paper
    Collections
    Management and Law Publications

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      The importance of contextual factors on the accuracy of estimates in project management. An emergence of a framework for more realistic estimation process

      Hussain, Zahid I.; Lazarski, Adam (University of BradfordSchool of Management, 2014)
      Successful projects are characterized by the quality of their planning. Good planning that better takes into account contextual factors allows more accurate estimates to be achieved. As an outcome of this research, a new framework composed of best practices has been discovered. This comprises an open platform that project experts and practitioners can work with efficiently, and that researchers can develop further as required. The research investigation commenced in the autumn of 2008 with a pilot study and then proceeded through an inductive research process, involving a series of eleven interviews. These consisted of interviews with four well-recognized experts in the field, four interviews with different practitioners and three group interviews. In addition, a long-running observation of forty-five days was conceptualized, together with other data sources, before culminating in the proposal of a new framework for improving the accuracy of estimates. Furthermore, an emerging framework – and a description of its know-how in terms of application – have been systematically reviewed through the course of four hundred twenty-five days of meetings, dedicated for the most part to improving the use of a wide range of specific project management tools and techniques and to an improvement in understanding of planning and the estimation process associated with it. This approach constituted an ongoing verification of the research’s findings against project management practice and also served as an invaluable resource for the researcher’s professional and practice-oriented development. The results obtained offered fresh insights into the importance of knowledge management in the estimation process, including the “value of not knowing”, the oft-overlooked phenomenon of underestimation and its potential to co-exist with overestimation, and the use of negative buffer management in the critical chain concept to secure project deadlines. The project also highlighted areas of improvement for future research practice that wishes to make use of an inductive approach in order to achieve a socially agreed framework, rather than a theory alone. In addition, improvements were suggested to the various qualitative tools employed in the customized data analysis process.
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      Temporal estimation in prediction motion tasks is biased by a moving destination

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