It is a fascinating account of how the promoters of multibillion-dollar megaprojects systematically and self-servingly misinform parliaments, the public and the media in order to get projects approved and built. The research trends and gaps can serve as motivation for researchers and practitioners to work on the next generation of the studies to support the sustainable development of megaprojects.īack cover text: Megaprojects and Risk provides the first detailed examination of the phenomenon of megaprojects. This detailed review provides the basis for further studies on social responsibilities within the context of megaproject management. In addition, four research gaps and the corresponding research agenda were identified. As a result, three main research topics addressing the key questions were derived. Cluster and word frequency analyses were used to explore classification of megaproject social responsibility research. Basic information such as publication year, type, and megaproject stage and type were analyzed to provide an overview of the research area. A systematic process employing a four-phase search method, objective analysis and subjective analysis, helps to provide enough potential articles related to social responsibility in megaproject management, and to reduce arbitrariness and subjectivity involved in research topic analysis. This study aims to review relevant studies in this area. Research into social responsibility of megaproject is not as well developed a field as other aspects of project management research. Although researchers and practitioners have done a large amount of efforts within the domain of megaproject social responsibility, the relevant studies are still limited and scattered. This selection methodology supports top management to maintain their proposed projects with optimum resource allocations and maximum productivity.ĭue to its strategic significance, the implementation of megaprojects usually requires lots of social resources, which indicates that megaprojects have magnitude social responsibilities. The presented study deliberately explained how complex projects in an organization could be select efficiently. The presented methodology can be used extensively used by the project planners/managers to find the driving factors related to project complexity. The study outcomes support project managers to optimize their project selection processes, especially to select complex projects. The outcomes from this research may not be generalized sufficiently due to the subjectivity of the interviewers.
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Finally, study outcomes are concluded in the conclusion section, along with study limitations and future works. Out of these eight projects, the closeness coefficient of the most complex project is found to be 0.817 and that of the least complex project is found to be 0.274. To crossover such limitation, this study proposes the fuzzy MCDM method to select complex projects in organizations.Ī large-scale engine manufacturing company, engaged in the energy business, is studied to validate the suitability of the fuzzy TOPSIS method and rank eight projects of the case company based on project complexity. Traditional procedures for selecting complex projects are not adequate due to the limitations of linguistic assessment. The selection of complex projects is a multi-criteria decision-making (MCDM) process for global organizations. To fulfill study objectives, the factors responsible for making a project complex are collected through literature review, which is then analyzed by fuzzy TOPSIS, based on three decision-makers’ opinions.
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This study aims to propose a method known as the fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) for complex project selection in organizations.