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Al-Sinan, M A (2004) TQM and the construction industry: Saudi Arabia: a case study, Unpublished PhD Thesis, School of Mathematics, Computer Science & Engineering, City, University of London.
Apostolopoulos, C (2015) Risk assessment for change management within project management: a hierarchical model process approach, Unpublished PhD Thesis, , City, University of London.
- Type: Thesis
- Keywords: change management; project success; failure; organisational change; reasoning; probability
- ISBN/ISSN:
- URL: https://openaccess.city.ac.uk/id/eprint/15015/
- Abstract:
The field of modern project management is not new, and what seems to have changed over the past decade is the evolution of techniques applying theory into practice. This had as a consequence for the need to standardise and structure different processes of project management, in a detailed, documented and formal manner. On the other hand, change management seen as an integrated process within project management is a rational process for exploring decision and behaviour alternatives in an attempt to realign the course of 'derailed' deliverables due to change and ensure project success. However, models contained in such frameworks often lack formal semantics and clarity; generally fail to address and assess organisational change management risk reasoning, in a rather detailed way as they do for the majority of the project management processes. Since, uncontrolled changes might have an effect on the projects' success, it is vital to assess the probability of materialisation (risk) of success before the decision is made and whether to proceed with the change or not. For example, if the change dramatically increases the risk of failure then it is logical to assume that avoiding that implementation is the right decision. Ideally, a change or consequence based upon a decision should have a low impact and a fairly high level of predictability. This research, takes the challenge to propose a novel modelling approach, which will contribute significantly to the missing formality of business models especially in the change risks assessment area. The introduction of Change Risk Assessment Model (CRAM) allows the identification and definition of speculative relationships, between change risks in the form of hierarchical risk tree analysis. Overall, the method is dynamic and flexible enough that can be tailored to various project requirements, taking into account significant environmental risk factors which influence project deliverables. Project success is a key objective for today's organisations; professionals can make use of a new methodology for risk assessment, compatible with project management frameworks which currently seems to be missing from literature. Project management methodologies are not a panacea against project failure; nevertheless, CRAM can be regarded as a comprehensive modelling approach which combines both quantitative and qualitative risk criteria analysis in decision making processes.
Arvanitis, D (2017) Collaboration and contract management in the context of offshore oil and gas contracts: an English law analysis, Unpublished PhD Thesis, The City Law School, City, University of London.
Eaglestone, F N (1993) An improved method of requesting insurance under UK construction contracts, Unpublished PhD Thesis, , City, University of London.
Kamanda-Kabague, B M (1981) Application of mathematical model techniques to the planning and control of overhead costs in the construction industry, Unpublished PhD Thesis, School of Mathematics, Computer Science & Engineering, City, University of London.
Meaker, T A (1994) The role of intervention in strategic change, Unpublished PhD Thesis, Department of Systems Science, City, University of London.
Sweis, R K (1988) Construction insurance in the Arab Gulf area: an analysis of cover and contracts, Unpublished PhD Thesis, Business School, City, University of London.
Whittaker, J D (1970) A study of competitive bidding with particular reference to the construction industry, Unpublished PhD Thesis, Business School, City, University of London.