Search results

The aim of this chapter is to understand the nature of business collaboration between healthcare service providers and tourism agencies in Malaysia. Interviews with 17 healthcare service providers in Malaysia reveal that most of the collaboration between healthcare service providers and tourism agencies in Malaysia is informal or loose, despite their intention to leverage on medical tourism for business expansion. Close and tight collaborations are rare. The findings point towards the main reasons behind the rare collaboration which are the high customer orientation of healthcare service providers, the strategic move of business and support for government agenda.

This study aims to explore the consumer perceptions of cognition and intention to visit pilot zone of international medical tourism as emerging, developed medical tourism destinations.

Using a survey-based quantitative method, based on a survey of 439 tourists who have cross-border travel experience, the partial least squares approach was performed to test the hypotheses.

The results show that internal factors had a stronger influence on destination image compared to external factors. Among different factors, preferential policies had the greatest impact on intention to visit. Perceived quality had a stronger effect on intention to visit than preference. Geographical distance had a varied effect, with those furthest away in Northeast China showing greater intention to visit compared to closer regions.

This study explores the impact of multidimensional destination perception on medical tourists’ behavioural intention in emerging destinations by integrating the push-pull theory and theory of planned behaviour and tests how geographical distance affects intention to visit emerging destinations. Using China international medical tourism pilot area as a typical case of medical tourism emerging destinations for empirical analysis. This research offers guidance for branding and marketing strategies, contributes to a deeper understanding of medical tourists’ destination choices, enriches the theoretical explanation of emerging destination choice in medical tourism and provides valuable insights for destination recovery.

This article aims to know the direction of current research based on the previous research in the last ten years (2012–2021).

Text mining was integrated with a network and content analysis as part of the mix methodological approach. The scientific articles, on the other hand, were assembled on Litmaps through web scraping. This process selected 86 articles about medical tourism published between 2012 and 2021. This study employed AntConc, RStudio and Gephi tools for data analysis and visualization.

A total of 138 articles were identified through Litmaps using web scraping and 86 studies met the criteria. The trend of medical tourism research is a positive sign for tourism and health industries; this is the beginning to recognize the importance of elaborating on these two topics. Several researchers have frequently studied issues of destination, hospital, development, quality, stakeholders, surgery, service, economics and policy. Policymakers must establish a medical tourism ecosystem to accommodate all stakeholders in this industry. This study also recommends focusing on supply and institution for medical tourism future research.

This literature review presents research trends on medical tourism in 2012–2021 based solely on articles available on the Litmaps search engine. If the time span is extended and the sources of articles are expanded there will be more literature available for analysis. The articles obtained are also only articles published in English due to the language limitations of the author.

Policymakers must establish a medical tourism ecosystem to accommodate all stakeholders in this industry. Stakeholders must work together to provide medical tourism package therefore people can get their health services while visiting available tourist areas.

The literary study of medical tourism over 10 years is considered the most recent systematic literature review.

Is humanity heading to immortal living? If so, what areas of society are playing an active role in achieving this? In order to understand this, the study explores the relationship between immortality and the wellness and medical tourism industry to seek potential relationships between them and ultimately, asks difficult questions about the growth of these tourism sectors and the potential need for greater regulation of them.

Taking a pragmatic philosophical approach and through the examination of refined information from secondary sources and published material and reports, the study presents original theoretical knowledge and a model exploring tourism and human immortality.

This paper argues that continued growth in the wellness and medical markets today could lead to a world where transhumanists and cyborgs are present in our world, even taking over from Homo sapiens. The study presents a model highlighting the potential role of wellness and medical tourism markets, illustrating the potential for future consumer services that could further fuel the search for immortality. Thus, how such markets and consumer desires are (in)directly supporting humanities desire for (non-human) immortal existence.

Today, individuals are driven by wellness practices and medical and cosmetic desires and are willing to travel the globe in search of companies who are either capable of carrying out the desired procedures or seeking prices more affordable to them. This research offers novel insights into these complex relationships and maps the affiliation between wellness and medical practices and the concept of immortality.

The purpose of this paper is to focus on the emerging phenomenon of medical tourism in the context of Iran from a customer experience management perspective and benchmark of their judgment including positive or negative, of the experience they have achieved of the Iranian health (medical) experience (CE) and suggest scenarios for the improvement of the Iranian customer experience management (CEM).

The research methodologies and research methods that are used in this descriptive-analytical research are based on an inspection of the remarkable literature related to medical tourism and customer experience management. The data gathering instrument is a researcher-made questionnaire based on the variables in the conceptual model extracted from the research literature. The study was conducted from May to August 2019. The population cohort of this study was the foreign patients calling selected Iranian hospitals and the sampling method was a purposive and snowball sample of prospective medical tourists. As the study was conducted throughout Iran, some important hospitals in Iran were selected by stratified sampling Yang et al. (2020b). The sample size and data saturation were 500 participants Lv and Song (2019). The collected data using the questionnaire were analyzed by SPSS software and statistical tests.

According to the results, the customer experience management statistical significance in the task aspect is (p = 0.0523), in the mechanical aspect is (p = 0.0563), in the human aspect is (p = 0.0544). The study showed positive customer experience among the patients who had been treated in the Iranian hospitals.

There is a lack of study that focuses on medical tourism and customer experience management in Iran. Therefore, based on the results of this study, the experience of medical tourists in Iran proved to be positive and satisfying. As little research has been conducted in the area of customer experience management (CEM) in Iranian medical tourism, future researchers can use these valuable results precisely and in more detail to benchmark more accurately the customer experience in all areas of medical and health tourism and other research areas in different aspects of CEM in Iran.

This study investigates the relationship between medical tourism and city branding as the main purpose. To this end, two measurement scales (questionnaires) were designed and validated. The data obtained through the questionnaires was analyzed using descriptive statistics, exploratory and confirmatory factor analyses as well as structural equation modeling via SPSS and LISREL. The study was done in the city of Shiraz which is a famous tourist destination worldwide and has high capacities in medical tourism as well. Participants included scholars and managerial staff in the fields of medical tourism and city branding. The results confirmed that the four underlying factors of medical tourism include medical facilities and services, doctors and staff, tourism factors and costs. Furthermore, city branding was confirmed to be comprised of three underlying factors including place and facilities, opportunities, and residents and culture. Finally, according to the findings from Structural Equation Modelling (SEM) method of assessment branding in shiraz it was found that medical tourism affects directly on city branding.

The study aims to facilitate the medical tourists visiting emerging countries for various kinds of ailments by ranking the possible destinations to avail medical treatments.

A Fuzzy Analytical Hierarchical Process (FAHP) with a mixed-method approach is applied to analyze data collected from patients and substantiate it with medical tour operators in India to gain managerial insights on the choice-making patterns of the patients.

India is a preferred emerging market location due to the low cost and high medical staff quality. India offers value for money, whereas Singapore and Thailand are preferred destinations for quality and technology.

The study will facilitate the emerging markets' governments, hospitals and medical tourists to understand the importance of various determinants responsible for availing medical treatment outside their country.

The study recommends that cost and quality care are the patients' prime focus; government policies must provide clear guidelines on what the hospitals and country environment can offer and accordingly align the marketing strategies.

This study is the first attempt to rank various factors affecting medical tourism using the FAHP approach.

The purpose of this paper is to develop a comprehensive framework to identify and classify key medical tourism enablers (MTEs) and to study the direct and indirect effects of each enabler on the growth of medical tourism in India.

In this paper, an integrated approach using interpretive structural modeling (ISM) and Fuzzy Matrice d'Impacts Croisés Multiplication Appliquée á un Classement (FMICMAC) analysis has been developed to identify and classify the key MTEs, typically identified by a comprehensive review of literature and expert opinion. The key enablers are also modeled to find their role and mutual influence.

The key finding of this modeling helps to identify and classify the enablers which may be useful for medical tourism decision makers to employ this model for formulating strategies in order to overcome challenges and to become a preferred medical tourism destination. Integrated model reveals enablers such as medicine insurance coverage, international healthcare collaboration, and efficient information system as dependent enablers. No enabler is found to be autonomous enablers. The important enablers like healthcare infrastructure facilities and global competition are found as the linkage enablers. Research in medicine and pharmaceutical science, medical tourism market, transplantation law, top management commitment, national healthcare policy, competent medical and para-medical staffs are found as the independent enablers. Integrated model also establishes the direct and indirect relationship among various enablers.

The research provides an integrated model using ISM and FMICMAC to identify and classify various key enablers of medical tourism in India. In conventional cross-impact matrix multiplication applied to classification analysis, binary relationship of various enablers is considered. FMICMAC analysis helps to establish possibility of relationship among various enablers so that low-key hidden factors can be identified. The low-key hidden factors may initially exhibit marginal influence but they may show significant influence later on during analysis. The uncertainty and fuzziness of relationship among various enablers can be conveniently handled by FMICMAC and expert opinions can easily be captured. This research will help medical tourism decision makers to select right enablers for the growth of medical tourism in India.

This paper aims to examine whether medical tourism can be a frontrunner in terms of post-pandemic recovery for the industry

A mixed-method analysis of 17 interviews and 210 questionnaires involving medical tourists to Iran was applied.

Medical tourists perceived the risks posed by COVID-19 as a temporal one, and attitudes toward post pandemic visitation intentions remained strong. In addition, these tourists can mostly be classified into responsive individuals, who demonstrate not only high risk but also high efficacy levels to negotiate the threats posed by the pandemic. No gender differences were located between male and female medical tourists in terms of post-COVID-19 travel intentions to Iran.

This research extends the application of the risk perception attitude framework to a medical tourism context. Furthermore, medical tourists are uncovered as another segment of crisis-resistant tourists.

Tourism industry is a profitable resource for countries and considered one of the main sources of income and job creation for economic development. Among the various types of tourism, medical tourism and its subsets are of great significance owing to their capabilities and competitive advantages. In this regard, the purpose of this research is to provide a framework to categorize customers based on the Zeithaml pyramid and then identify and provide strategies to create loyalty and attract customers of this industry.

This study proposed a framework for medical tourists' satisfaction and loyalty. First, by studying the literature and data gathering from Yazd (one of the cities of Iran), the effective factors on the loyalty and attraction of medical tourists were identified. These factors have been prioritized for the medical tourists who are in the platinum category by the Pareto technique and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. Next, the strategies provided by experts for loyalty and attraction of medical tourists were examined. Finally, the house of quality (HOQ) as the first matrix in quality functional deployment (QFD) was used to provide operational strategies for medical tourism satisfaction. The statistical population of this research consists of medical tourists, academic experts and active physicians of medical tourism in Yazd, one of the cities of Iran.

The study results indicate the importance of “hospital reputation” in medical tourists' satisfaction. Also, “achieving international standards”, “periodic customer satisfaction assessment” and “paying attention to social responsibilities” are recognized as the most important strategies to achieve the loyalty of the most profitable group of customers, namely platinum.

This study covers both theoretical and practical aspects. Theoretically, this study developed a new framework for medical tourists' satisfaction by the Zeithaml matrix, TOPSIS, Pareto technique and QFD method. Furthermore, practically this study helps practitioners of medical tourism in medical tourists' satisfaction and loyalty.

In this study, in addition to identifying the effective factors on the loyalty and attracting medical tourists, a new framework was developed for medical tourists' satisfaction by segmentation the tourism by the Zeithaml matrix and providing operational strategies by the QFD technique.