An MCDA-based Framework for Prioritizing Digital Transformation Projects in Small and Medium-sized Enterprises
Keywords:
Multicriteria Decision-Aiding, Digital Transformation, Project Prioritization, Decision Support SystemsAbstract
There is increasing pressure on Small and medium-sized enterprises (SMEs) to force digital technologies to maintain their competitiveness, viability, and agility amid dynamic market conditions. Yet, there are difficulties associated with selecting priorities among potential digital transformation projects due to constraints like budget restrictions, technological uncertainty, organizational limitations, and numerous strategic and operational considerations that have to be weighed against each other. In this regard, this research seeks to provide an MCDA approach that can be leveraged by SMEs in evaluating and prioritizing digital transformation efforts. The MCDA framework suggested by this paper involves structured criteria related to strategic alignment, project cost, anticipated impact on operations, technological feasibility, cybersecurity risk, organizational readiness, and speed of deployment. The MCDA model provided in this study offers a structured means of making informed decisions, combining criteria weighting and alternative ranking. This methodology seeks to improve the subjectivity of the selection process, align digital investments more closely with business objectives, and improve decision-making when constraints are involved. The research is useful in terms of contributing to existing methodologies, but what makes it more important is the contribution it offers to SMEs from various industries through a helpful tool that will allow them to develop plans related to their digital initiatives. This model helps increase the convergence between multiple criteria aiding decision-making, digital transformation, and intelligent management systems.Downloads
Published
2025-12-02
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Copyright (c) 2026 Juan Antonio Álvarez Gaona, Juan Antonio Granados Montelongo, José Daniel Corona Flores, Magaly Martinez Galvan, Ramón Herrera, Francisco Magallanes, Abril Flores

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

