Analyzing the Knowledge Structure of the Success and Failure Factors of Megaprojects

Megaproject is a term used to distinguish strategic projects from normal projects. The super project requires the allocation of many resources and has transformative consequences. Much research has been done to identify the success and failure factors of megaprojects. This research aims to analyze the knowledge structure of the success and failure factors of megaprojects. Research is practical in terms of purpose. The statistical population of the indexed content research related to the success and failure factors of megaprojects in science websites, the judgmental sampling method, and the sample size are 3728. The method of research data analysis includes the analysis of the structure of the context and the analysis of the content structure. Contextual structure analysis includes the steps of cataloging, sorting, illustrating, and contextual data analysis, and content structure analysis includes two steps of data extraction and coding. The analysis of the texture structure confirms the upward trend of indexing, the dominant flow of introducing a country as a megaproject platform, and the greater contribution of indexing to the field of project management. Analysis of the content structure has identified 277 codes, 177 concepts, 101 subcategories, 69 categories, and 9 dimensions. These dimensions include the success and failure of megaprojects, context, domain, super project teams, super project life cycle, investment, environment, involved parties, and social factors. The theoretical dispersion in the selection of vocabulary indicates the need for convergence in the selection of vocabulary and the necessity of identifying theoretical frameworks from the indexed content related to the success and failure of megaprojects.