Factors influencing medical tourism adoption in Malaysia: A DEMATEL-Fuzzy TOPSIS approach

被引:141
作者
Nilashi, Mehrbakhsh [1 ,2 ]
Samad, Sarminah [3 ]
Manaf, Azizah Abdul [4 ]
Ahmadi, Hossein [5 ]
Rashid, Tarik A. [6 ]
Munshi, Asmaa [4 ]
Almukadi, Wafa [8 ]
Ibrahim, Othman [7 ]
Ahmed, Omed Hassan [5 ]
机构
[1] Ton Duc Thang Univ, Dept Management Sci & Technol Dev, Ho Chi Minh City, Vietnam
[2] Ton Duc Thang Univ, Fac Informat Technol, Ho Chi Minh City, Vietnam
[3] Princess Nourah Bint Abdulrahman Univ, Dept Business Adm, Collage Business & Adm, Riyadh, Saudi Arabia
[4] Univ Jeddah, Coll Comp Sci & Engn, Dept Cybersecur, Jeddah, Saudi Arabia
[5] Univ Human Dev, Dept Informat Technol, Sulaymaniyah, Iraq
[6] Univ Kurdistan Hewler, Comp Sci & Engn Dept, Erbil, Kurdistan, Iraq
[7] UTM, Azman Hashim Int Business Sch, Skudai 81310, Johor, Malaysia
[8] Univ Jeddah, Coll Comp Sci & Engn, Dept Software Engn, Jeddah, Saudi Arabia
关键词
Medical tourism; Medical hotels; Decision-making; Health tourism; Readiness; DEMATEL; Fuzzy TOPSIS; HOSPITAL INFORMATION-SYSTEM; DECISION-MAKING; COSMETIC SURGERY; HEALTH; ONLINE; TRAVEL; INTENTION; CARE; FACILITATORS; DESTINATION;
D O I
10.1016/j.cie.2019.106005
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Tourism is one of the biggest competitive industries in the world. Nowadays, medical tourism is quickly developing as a part of tourism for health and wellness care. There are many factors influencing the development of medical tourism in developing countries. This research aims to identify those factors for medical tourism development in Malaysia. We investigate the factors from the literature to develop a new decision-making model. We use two multi-criteria decision making techniques, Decision Making Trial and Evaluation Laboratory (DEMATEL) and Fuzzy Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS), to reveal the interrelationships among the factors and to find the relative importance of these factors in the decision making model. The results showed that human and technological factors are the most important factors for medical tourism adoption in Malaysia. The results of this study will enable key players in the medical tourism industry to potentially assign investments for medical tourism in the developing countries.
引用
收藏
页数:11
相关论文
共 67 条
  • [41] Connecting with prospective medical tourists online: A cross-sectional analysis of private hospital websites promoting medical tourism in India, Malaysia and Thailand
    Moghavvemi, Sedigheh
    Ormond, Meghann
    Musa, Ghazali
    Isa, Che Ruhana Mohamed
    Thirumoorthi, Thinaranjeney
    Bin Mustapha, Mohd Zulkhairi
    Kanapathy, Kanagi A. P.
    Chandy, Jacob John Chiremel
    [J]. TOURISM MANAGEMENT, 2017, 58 : 154 - 163
  • [42] Decisive factors in medical tourism destination choice: A case study of Isfahan, Iran and fertility treatments
    Moghimehfar, Farhad
    Nasr-Esfahani, Mohammad Hossein
    [J]. TOURISM MANAGEMENT, 2011, 32 (06) : 1431 - 1434
  • [43] The Moderating Effect of Medical Travel Facilitators in Medical Tourism
    Mohamad, Wan Normila
    Omar, Azizah
    Haron, Mahmod Sabri
    [J]. INTERNATIONAL CONGRESS ON INTERDISCIPLINARY BUSINESS AND SOCIAL SCIENCES 2012 (ICIBSOS 2012), 2012, 65 : 358 - 363
  • [44] Nilashi M, 2019, INT J FUZZY SYST, P1
  • [45] Preference learning for eco-friendly hotels recommendation: A multi-criteria collaborative filtering approach
    Nilashi, Mehrbakhsh
    Ahani, Ali
    Esfahani, Mohammad Dalvi
    Yadegaridehkordi, Elaheh
    Samad, Sarminah
    Ibrahim, Othman
    Sharef, Nurfadhlina Mohd
    Akbari, Elnaz
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 215 : 767 - 783
  • [46] Travelers decision making using online review in social network sites: A case on TripAdvisor
    Nilashi, Mehrbakhsh
    Ibrahim, Othman
    Yadegaridehkordi, Elaheh
    Samad, Sarminah
    Akbari, Elnaz
    Alizadeh, Azar
    [J]. JOURNAL OF COMPUTATIONAL SCIENCE, 2018, 28 : 168 - 179
  • [47] Determining the importance of Hospital Information System adoption factors using Fuzzy Analytic Network Process (ANP)
    Nilashi, Mehrbakhsh
    Ahmadi, Hossein
    Ahani, Ali
    Ravangard, Ramin
    bin Ibrahim, Othman
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2016, 111 : 244 - 264
  • [48] An Updated and Streamlined Technology Readiness Index: TRI 2.0
    Parasuraman, A.
    Colby, Charles L.
    [J]. JOURNAL OF SERVICE RESEARCH, 2015, 18 (01) : 59 - 74
  • [49] Parasuraman A., 2000, Journal of Service Research - J SERV RES, V2, P307, DOI [DOI 10.1177/109467050024001, 10.1177/109467050024001]
  • [50] Mirror, mirror on the wall, who's the fairest of them all? A critical content analysis on medical tourism
    Rodrigues, Helena
    Brochado, Ana
    Troilo, Michael
    Mohsin, Asad
    [J]. TOURISM MANAGEMENT PERSPECTIVES, 2017, 24 : 16 - 25