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The construction industry builds infrastructure and strengthens the global economy, but it struggles with cost overruns. This systematic study uses scientometrics and Social Network Analysis to examine the multifaceted factors causing construction project cost escalations. After reviewing 405 scholarly works, the research maps and analyzes 66 interconnected cost overrun factors in 69 high-impact studies between 200 and 2024. To uncover the patterns, the study used two main research methods. First, this study applied a scientometric analysis that reviews trends and gaps from the previous studies. Second, this study used Social Network Analysis (SNA) to examine how different factors are connected and which factors have the strongest influence on cost overruns. The methodology comprises a systematic literature search, document selection, scientometric analysis, factor standardization, and SNA application. Seven critical drivers with high network centrality were identified: planning and scheduling issues, project estimation inaccuracies, design inefficiencies, negative weather conditions, scope definition challenges, contractual ambiguities, and unforeseeable site conditions. By applying SNA Degree Centrality (DC) the analysis quantifies the significance of each factor within the network. With the use of this dual analysis, a novel mapping of the main causes of cost overrun was produced, leading to the discovery of 7 core factors that significantly affected project outcomes, including planning and scheduling issues, project estimation problems, and design inefficiencies. The findings advanced the knowledge of the dynamics of cost overrun and offered practical insights for enhancing cost management practices in the construction industry.
Abdelalim et al. (Wed,) studied this question.