Integrating Main Path Analysis and Hybrid MCDM to Evaluate Medical Aesthetic Tourism
Year: 2026
Type: article
Abstract: Medical tourism is among the fastest-growing segments of the global travel industry, and Taiwan’s internationally recognised healthcare system positions it well to compete in this market. Yet the companies best placed to lead this development have traditionally been identified through online word-of-mouth or personal recommendation rather than objective evidence, and performance criteria are rarely weighted to reflect both subjective opinion and objective data. This study addresses both gaps with a hybrid framework that uses main path analysis to identify, objectively, the companies most active in medical aesthetic technology, and integrates the Best–Worst Method (BWM), Entropy, Game Theory, and Grey-based TOPSIS to weight a four-dimensional, seventeen-criterion framework and rank company performance in medical tourism. An empirical application to seven Taiwanese companies engaged in medical aesthetics alongside medical tourism, drawing on industry expert assessments, shows that Service and Healthcare Resources is the most influential dimension, and that cloud-based customisation, multilingual personnel, and professional in-trip medical care are the most important criteria. Sensitivity analysis across nine weighting scenarios and comparison against four alternative ranking methods confirm the robustness of the ranking. The framework offers a replicable, objective template for evaluating medical tourism performance and provides managerial guidance for companies and policymakers seeking to strengthen Taiwan’s position in this market.
Source: Applied Sciences
DOI: 10.3390/app16178545
Institution: National Taipei University of Technology
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W7204456648