The effects of medical tourism: Thailand’s experience

NaRanong, Anchana; Naranong, Viroj

doi:10.2471/blt.09.072249

Cited by 133 publications

(84 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The study concluded that service quality is an antecedent of satisfaction and satisfaction had a moderate effect on forest visitors' behavioral intention. In a study on health care customer satisfaction [51][52][53][54][55], researchers proposed a relationship among service quality, value, patient satisfaction and behavioral intention. 537 responses were collected from South Korea medical consumers to analyze the model.…”

Section: Hypothesis Developmentmentioning

confidence: 99%

A Comprehensive Perspective on Medical Tourism Context and Create a Conceptual Framework

Lajevardi¹

2016

J Tourism Hospit

View full text Add to dashboard Cite

Section: Hypothesis Developmentmentioning

confidence: 99%

A Comprehensive Perspective on Medical Tourism Context and Create a Conceptual Framework

Lajevardi¹

2016

J Tourism Hospit

View full text Add to dashboard Cite

“…With the encouragement of government and the efforts of policy-makers, and based on the competitive advantages of low-cost treatments, advanced technologies in medical specialties, flexible treatment procedures, less-stringent government regulations and effective marketing strategies, some countries such as Thailand, Singapore, Malaysia, India, Korea and Taiwan have successfully gained a remarkable position in global outbound medical services. Among these, Thailand, Singapore and India play a driving role in Asia with approximately 90% of Asia's medical tourism markets, followed by Malaysia, Korea and Taiwan [25]. Compared with other providers in Asia, Thailand's medical tourism industry has the highest annual growth rate with more than a million medical tourists per year.…”

Section: Practical Sample 1: Forecasting the Revenue Of Thailand's Mementioning

confidence: 99%

Evaluating Performance of the DGM(2,1) Model and Its Modified Models

et al. 2016

View full text Add to dashboard Cite

Abstract:The direct grey model (DGM(2,1)) is considered for fluctuation characteristics of the sampling data in Grey system theory. However, its applications are quite uncommon in the past literature. The improvement of the precision of the DGM(2,1) is only presented in few previous researches. Moreover, the evaluation of forecasted performance of the DGM(2,1) model and its applications was not conducted in previous studies. As the results, this study aims to evaluate forecasted performance of the DGM(2,1) and its three modified models, including the Markov direct grey model MDGM(2,1), the Fourier direct grey model FDGM(2,1), and the Fourier Markov direct grey model FMDGM(2,1) in order to determine the application of the DGM(2,1) model in practical applications and academic research. The results demonstrate that the DGM(2,1) model has lower precision than its modified models, while the forecasted precision of the FDGM(2,1) is better than that of MDGM(2,1). Additionally, the FMDGM(2,1) model presents the best performance among all of the modified models of DGM(2,1), which can effectively overcome the fluctuating of the data sample and minimize the predicted error of the DGM(2,1) model. The finding indicated that the FMDGM(2,1) model does not only have advantages with regard to the sample size requirement, but can also be flexibly applied to the large fluctuation and random sequences with a high quality of estimation.

show abstract

“…This area continues to attract a large number of foreign medical tourists from around the world, compared to other areas. Among the Asian countries, Thailand and Singapore are far ahead with approximately 90% of the foreign patients in this area [5]. Statistical data of the number of medical tourists in six major destinations in Asia are presented in Table 1.…”

Section: Introductionmentioning

confidence: 99%

An Application of the Short-Term Forecasting with Limited Data in the Healthcare Traveling Industry

et al. 2016

View full text Add to dashboard Cite

Abstract:In real practice, forecasting under the limited data has attracted more attention in business activities, especially in the healthcare traveling industry in its current stage. However, there are only a few research studies focusing on this issue. Thus, the purposes of this paper were to determine the forecasted performance of several current forecasting methods as well as to examine their applications. Taking advantage of the small data requirement for model construction, three models including the exponential smoothing model, the Grey model GM(1,1), and the modified Lotka-Volterra model (L.V.), were used to conduct forecasting analyses based on the data of foreign patients from 2001 to 2013 in six destinations. The results indicated that the L.V. model had higher prediction power than the other two models, and it obtained the best forecasting performance with an 89.7% precision rate. In conclusion, the L.V. model is the best model for estimating the market size of the healthcare traveling industry, followed by the GM(1,1) model. The contribution of this study is to offer a useful statistical tool for short-term planning, which can be applied to the healthcare traveling industry in particular, and for other business forecasting under the conditions of limited data in general.

show abstract

The effects of medical tourism: Thailand’s experience

Cited by 133 publications

References 2 publications

A Comprehensive Perspective on Medical Tourism Context and Create a Conceptual Framework

A Comprehensive Perspective on Medical Tourism Context and Create a Conceptual Framework

Evaluating Performance of the DGM(2,1) Model and Its Modified Models

An Application of the Short-Term Forecasting with Limited Data in the Healthcare Traveling Industry

Contact Info

Product

Resources

About