Use this URL to cite or link to this record in EThOS:
Title: The importance of contextual factors on the accuracy of estimates in project management : an emergence of a framework for more realistic estimation process
Author: Lazarski, Adam
ISNI:       0000 0004 6495 1729
Awarding Body: University of Bradford
Current Institution: University of Bradford
Date of Award: 2014
Availability of Full Text:
Access from EThOS:
Access from Institution:
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.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (D.B.A.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Project management ; Estimation process ; Estimation framework ; Estimation technique ; Estimation-related risk ; Knowledge-based estimation ; Project scheduling ; Critical chain ; Buffer management