An Entropy (Shannon) Based Approach for Determining Importance Weights of Influencing Factors in Selecting Medical Tourism Destinations
Authors
Abstract:
Introduction: Medical tourism is currently accepted as a developing industry. It describes the act of leaving home for treatment and care abroad. There are several factors that influence choice of destination for patients in medical tourism. Identification of these factors and prioritization according to importance weights could help international healthcare providers develop their marketing strategy.Methods: In the first stage of this research, an extensive review was done on recently published studies in medical tourism to identify influential factors on selecting a destination for medical tourism. The review yielded fourteen factors. In the second stage, 40 related papers were selected and the content analysis method was used to calculate frequency of repetition for each factor in the 40 papers. Furthermore, by using the Shannon entropy formula, marginal entropy and importance weight were analyzed for each factor.Results: Results indicated that the most influential factors on selection of a destination for medical tourism were “quality of care,” “cost” and “promotional programs,” results that indicate common sense. The least influential factor was “employer encouragement programs,” an indication that most medical tourists make a personal choice to embark on medical tourism and employer encouragement programs had lower priority in the decision making process.Conclusion: This study highlights the most important influential factors on choice of destination among patients, internationally. According to these findings, hospitals providing a service internationally must provide a high quality service at affordable cost. Consideration of travelers’ priorities can be applied to develop performance and promotional activities that will attract more patients and increase medical treatment revenue in a country.
similar resources
an entropy (shannon) based approach for determining importance weights of influencing factors in selecting medical tourism destinations
introduction: medical tourism is currently accepted as a developing industry. it describes the act of leaving home for treatment and care abroad. there are several factors that influence choice of destination for patients in medical tourism. identification of these factors and prioritization according to importance weights could help international healthcare providers develop their marketing st...
full textan investigation on influencing factors on tourists shopping attitude of iranian handmade carpet in isfahan
چکیده ندارد.
15 صفحه اولA Progressive Multilevel Model for Selecting Medical Tourism Destinations: A Qualitative Study
Introduction: The overall objective of this study was to design a progressive multilevel model using the Delphi method for selecting a medical tourism destination which includes three levels of decision making: the destination country, then the destination city, and finally, the healthcare center in the selected city. This model can be used as a new area of research for further...
full textDiagnosis of Government Policy Implementation in Iranian Universities of Medical Sciences by Shannon Entropy Approach
Background: Given that the health system is one of the most important areas for social development in all countries, special attention should be paid to policy making and monitoring in this area. This research aimed to diagnose achievement goals of government policies focusing on government medical universities in Iran, which are the mainstay of providing health care. Methods: The present stu...
full textAn argument-dependent approach to determining OWA operator weights based on the rule of maximum entropy
The methods for determining OWA operator weights have aroused wide attention. We first review the main existing methods for determining OWA operator weights. We next introduce the principle of maximum entropy for setting up probability distributions on the basis of partial knowledge and prove that Xu’s normal distribution-based method obeys the principle of maximum entropy. Finally, we propose ...
full textExploiting tourism destinations' knowledge in an RDF-based P2P network
Destination Management Systems (DMS) is a perfect application area for Semantic Web and P2P technologies since tourism information dissemination and exchange are the key-backbones of tourism destination management. DMS should take advantage of P2P technologies and semantic web services, interoperability, ontologies and semantic annotation. RDF-based P2P networks allow complex and extendable des...
full textMy Resources
Journal title
volume 4 issue 4
pages 115- 121
publication date 2016-11-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023