ArticleScientific reports2026
A novel belief-degree-based uncertain Tchebycheff norm DEA model for the case study of risks prioritizing in e-business projects.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
E-business projects may face several risks that are potential to affect the success of such projects. As an important issue for a project manager in this field, the potential risks should be prioritized according to their potential impact on the success of the project. In this study, the potential risks of the e-business sector are to be evaluated and ranked based on the success criteria of such projects. For this aim a complete set of risks compared to the literature is considered and their impact on the project success criteria are determined linguistically by the experts of the field as a case study. To respect the uncertain nature of the evaluations, the linguistic evaluations are converted to belief-degree-based uncertain values. Then for the first time, a data envelopment analysis (DEA) model is used to evaluate and rank such risks. For this aim, the classical Tchebycheff norm DEA model is extended to a belief-degree-based uncertain environment for the first time. An extensive computational study including sensitivity analysis and comparative study is performed by the uncertain Tchebycheff norm model to evaluate and rank the risks of the case study. Based on the obtained results "introducing new technology" and "cultural risk" are the most and least important risks respectively.
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