A hybrid data-driven model for project portfolio selection problem based on sustainability and strategic dimensions: a case study of the telecommunication industry

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Abstract

Project portfolio selection is a multi-criteria decision-making process that is always accompanied by important decisions with uncertainty. Considering the existence of different data in the field of various projects, the use of data-driven approaches to evaluate and select projects in previous studies has been neglected. To cover this gap, the purpose of this study is to provide a hybrid data-driven framework for selecting investment projects in the telecommunication industry. To do this, first by reviewing the theoretical literature and surveys of experts, project evaluation criteria through sustainability paradigm as well as strategic issues are identified, and then with the best–worst fuzzy approach (FBWM), the weight of each criterion is determined. According to the FBWM findings, the most important criteria identified include initial capital requirements, initial revenue, number of specialists employed, energy consumption …
Original languageEnglish
Pages (from-to)2409–2429
JournalSoft Computing
Volume28
Early online date15 May 2023
DOIs
Publication statusPublished - 1 Feb 2024

Keywords

  • Project portfolio selection
  • Data-driven decision-making
  • Sustainability
  • Strategic alignment
  • Telecommunication industry

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