Global investment in Information Technology (IT) reached USD 3.11 trillion in 2022. Due to the complexity and substantial investments required in this field, techniques for the early identification of risk factors that lead to project failure have become a critical focus for organizations and the scientific community. Research indicates that 29% of IT projects are successful, 52% encounter complications during execution, and 19% are canceled. This study aimed to analyze the factors influencing the success and/or failure of IT projects. The study seeks to answer the following question: What are the factors that influence the success and/or failure of IT projects? The study employed a quantitative approach, utilizing Structural Equation Modeling, and gathered data from 130 professionals involved in IT projects. The findings revealed that the success of an IT project is not determined by a single factor but rather by a combination of interrelated variables. Defining success criteria at the project's inception was found to have a positive impact across both analytical methods employed. Moreover, traditional frameworks such as the Iron Triangle (cost, scope, and schedule), long regarded as predictors of project success, proved insufficient when considered in isolation.
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Sebuske et al. (2025) studied this question.
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