Abstract

This paper introduces a novel reference point-based multi-criteria decision analysis (MCDA) framework for Virtual Private Server (VPS) selection tailored to small and medium-sized enterprises (SMEs) undergoing digital transformation. Unlike traditional MCDA methods that often recommend excessively powerful or costly solutions, the proposed approach allows decision-makers to define a target solution based on specific software and operational requirements. The empirical study demonstrated that this method provided VPS rankings more aligned with actual SME needs, optimizing resource allocation without over-provisioning. The results showed stable, reliable recommendations, offering a cost-effective and practical approach for VPS selection in digital transformation.

Recommended Citation

Karczmarczyk, A., Wątróbski, J. & Bączkiewicz, A. (2025). Enabling Smart Cloud Decisions: A Reference-Based MCDA Framework for VPS Selection in SMEsIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.99

Paper Type

Full Paper

DOI

10.62036/ISD.2025.99

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Enabling Smart Cloud Decisions: A Reference-Based MCDA Framework for VPS Selection in SMEs

This paper introduces a novel reference point-based multi-criteria decision analysis (MCDA) framework for Virtual Private Server (VPS) selection tailored to small and medium-sized enterprises (SMEs) undergoing digital transformation. Unlike traditional MCDA methods that often recommend excessively powerful or costly solutions, the proposed approach allows decision-makers to define a target solution based on specific software and operational requirements. The empirical study demonstrated that this method provided VPS rankings more aligned with actual SME needs, optimizing resource allocation without over-provisioning. The results showed stable, reliable recommendations, offering a cost-effective and practical approach for VPS selection in digital transformation.