Does eWOM influence destination trust and travel intention: a medical tourism perspective

References

• Abubakar, A. M., & Ilkan, M. (2013). More adverts or more Ewom’s. J Bus & Fin, Aff, 2, e129. doi:10.4172/2167-0234.1000e129.
   Google Scholar
• Abubakar, A. M., & Ilkan, M. (2016). Impact of online WOM on destination trust and intention to travel: A medical tourism perspective. Journal of Destination Marketing & Management,. doi:10.1016/j.jdmm.2015.12.005.
   Web of Science ®Google Scholar
• Abubakar, A. M., Ilkan, M., & Sahin, P. (2016). eWOM, eReferral and gender in the virtual community. Marketing Intelligence and Planning,. doi:10.1108/MIP-05-2015-0090.
   Web of Science ®Google Scholar
• Anadolu Agency. (2015). Turkey sees rise in medical tourism. Retrieved August 20, 2015, from http://www.hurriyetdailynews.com/turkey-sees-rise-in-medical- tourism – .aspx?pageID=238&nID=80466&NewsCatID=349
   Google Scholar
• Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of Marketing Research., 4, 291–295. 10.2307/3149462
   Web of Science ®Google Scholar
• Arsal, I., Backman, S., & Baldwin, E. (2008). Influence of an online travel community on travel decisions. In P. O’Connor, W. Höpken, & U. Gretzel (Eds.), Information and Communication Technologies in Tourism 2008, (pp. 82–93). Vienna, Austria: Springer Verlag. 10.1007/978-3-211-77280-5
   Google Scholar
• Bambauer-Sachse, S., & Mangold, S. (2011). Brand equity dilution through negative online word-of-mouth communication. Journal of Retailing and Consumer Services, 18, 38–45. 10.1016/j.jretconser.2010.09.003
   Google Scholar
• Ben, H. Y., Hanqin, Z. Q., & Peter, P. Y. (2011). Motivations and experiences of Mainland Chinese medical tourists in Hong Kong. Tourism Management, 32, 25–1127.
   Web of Science ®Google Scholar
• Byrnes, J. P., Miller, D. C., & Schafer, W. D. (1999). Gender differences in risk-taking: A meta-analysis. Psychological Bulletin, 125, 367–383. 10.1037/0033-2909.125.3.367
   Web of Science ®Google Scholar
• Campbell, D. T. (1958). Common fate, similarity, and other indices of the status of aggregates of persons as social entities. Behavioral Science, 3, 14–25.
   Google Scholar
• Casaló, L. V., Flavián, C., Guinalíu, M., & Ekinci, Y. (2015). Do online hotel rating schemes influence booking behaviors? International Journal of Hospitality Management, 49, 28–36. 10.1016/j.ijhm.2015.05.005
   Web of Science ®Google Scholar
• Chen, Y., Shang, R., & Li, M. (2014). The effects of perceived relevance of travel blogs’ content on the behavioral intention to visit a tourist destination. Computers in Human Behavior, 30, 787–799. 10.1016/j.chb.2013.05.019
   Web of Science ®Google Scholar
• Dittmar, H., Long, K., & Meek, R. (2004). Buying on the internet: Gender differences in on-line and conventional buying motivations. Sex Roles, 50, 423–444. 10.1023/B:SERS.0000018896.35251.c7
   Web of Science ®Google Scholar
• Duverger, P. (2013). Curvilinear effects of user-generated content on hotels' market share: A dynamic panel-data analysis. Journal of Travel Research, 52, 465–478. 10.1177/0047287513478498
   Web of Science ®Google Scholar
• Dwyer, P. D., Gilkeson, J. H., & List, J. A. (2002). Gender differences in revealed risk taking: Evidence from mutual fund investors. Economics Letters, 76, 151–158. 10.1016/S0165-1765(02)00045-9
   Web of Science ®Google Scholar
• Eagly, A. H., & Wood, W. (1991). Explaining sex differences in social behavior: A meta-analytic perspective. Personality and Social Psychology Bulletin, 17, 306–315. 10.1177/0146167291173011
   Web of Science ®Google Scholar
• Engel, J. F., Blackwell, R. D., & Miniard, P. W. (2001). Consumer behavior, south- western. Cincinnati, OH: Division of Thomson Learning.
   Google Scholar
• Eunha, J., & Soocheong, J. (2011). Restaurant experiences triggering positive eWOM motivations. International Journal of Hospitality Management, 30, 356–366.
   Web of Science ®Google Scholar
• Feingold, A. (1994). Gender differences in variability in intellectual abilities: A cross- cultural perspective. Sex Roles, 30, 81–92. 10.1007/BF01420741
   Web of Science ®Google Scholar
• Filieri, R., & McLeay, F. (2014). E-wom and accommodation: An analysis of the factors that influence travelers' adoption of information from online reviews. Journal of Travel Research, 53, 44–57. 10.1177/0047287513481274
   Web of Science ®Google Scholar
• Gajendra, S., Ye, Q., Sun, W., & Li, Q. (2012). Communication in virtual world: Second life and business opportunities. Information Systems Frontiers, 15, 677–694.
   Web of Science ®Google Scholar
• Garbarino, E., & Strahilevitz, M. (2004). Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation. Journal of Business Research, 57, 768–775. 10.1016/S0148-2963(02)00363-6
   Web of Science ®Google Scholar
• Gaskin, J. (2012). Multi-group effects. Gaskination’s StatWiki. Retrieved from http://statwiki.kolobkreations.com. January 2016)
   Google Scholar
• Grazioli, S., & Jarvenpaa, S. L. (2000). Perils of internet fraud: An empirical investigation of deception and trust with experienced internet consumers. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 30, 395–410. 10.1109/3468.852434
   Web of Science ®Google Scholar
• Gretzel, U., Yoo, K. H. & Purifoy, M. (2007). Online travel review study: Role & impact of online travel reviews. College Station, TX: Texas A&M University, Laboratory for Intelligent Systems in Tourism.
   Google Scholar
• Grewal, R., Cline, T. W., & Davies, A. (2003). Early-entrant advantages, word of mouth communication, brand similarity, and the consumer’s decision-making process. Journal of Consumer Psychology, 13, 187–197. 10.1207/S15327663JCP1303_01
   Web of Science ®Google Scholar
• Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate Data Analysis (5th ed.). Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Harrant, V., & Vaillant, N. G. (2008). Are women less risk averse than men? Evolution and Human Behavior, 29, 396–401. 10.1016/j.evolhumbehav.2008.05.003
   Web of Science ®Google Scholar
• Harris, C. R., Jenkins, M., & Glaser, D. (2006). Gender differences in risk assessment: Why do women take fewer risks than men? Judgment and Decision Making, 1, 48–63.
   Web of Science ®Google Scholar
• He, X., Inman, J. J., & Mittal, V. (2007). Gender jeopardy in financial risk taking. Journal of Marketing Research, 44, 414–424.
   Google Scholar
• Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18, 38–52. 10.1002/dir.10073
   Google Scholar
• Hsu, S. C. (1987). English of management. Taiwan: Tunghua Publishing.
   Google Scholar
• Jalilvand, M. R., Samiei, N., Dini, B., & Manzari, P. Y. (2012). Examining the structural relationships of electronic word of mouth, destination image, tourist attitude toward destination and travel intention: An integrated approach. Journal of Destination Marketing & Management, 1, 134–143.
   Web of Science ®Google Scholar
• Jani, D., & Hwang, Y. H. (2011). User-generated Destination Image through Weblogs: A comparison of pre- and post-visit images. Asia Pacific Journal of Tourism Research, 16, 339–356. 10.1080/10941665.2011.572670
   Web of Science ®Google Scholar
• Kassem, N. O., Lee, J. W., Modeste, N. N., & Johnston, P. K. (2010). Understanding soft drink consumption among female adolescents using the theory of planned behavior. Health Education Research, 18, 278–291.
   Web of Science ®Google Scholar
• Keckley, P. H. (2008). Medical tourism: Consumers in search of value. Washington, DC: Deloitte Centre for Health Solutions.
   Google Scholar
• Kline, R. (2005). Principles and practice of structural equation modeling (2nd ed.). New York, NY: The Guilford Press.
   Google Scholar
• Ko, Y. K., & Kim, B. J. (2011). The effects of switching cost perceived by patients and negative word of mouth on revisiting intention for hospital patients. Journal of Korean Academy of Nursing Administration, 17, 5–13. 10.11111/jkana.2011.17.1.5
   Google Scholar
• Lautier, M. (2008). Export of health services from developing countries: The case of Tunisia. Social Science and Medicine, 67, 101–110. 10.1016/j.socscimed.2008.01.057
   PubMed Web of Science ®Google Scholar
• Lee, J., Soutar, G., & Daly, T. (2007). Tourists’ search for different types of information: A cross-nationality study. Information Technology and Tourism, 9, 165–176. 10.3727/109830507782167006
   Google Scholar
• Lee, M., Heesup, H., & Tim, L. (2012). Medical tourism - attracting Japanese tourists for medical tourism experience. Journal of Travel & Tourism Marketing, 29, 69–86.
   Web of Science ®Google Scholar
• Lin, P., Jones, E., & Westwood, S. (2009). Perceived risk and risk relievers in online travel purchase intentions. Journal of Hospitality Marketing & Management, 18, 782–810.
   Google Scholar
• Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29, 458–468. 10.1016/j.tourman.2007.05.011
   Web of Science ®Google Scholar
• Martilla, J. A. (1971). Word-of-mouth communication in the industrial adoption process. Journal of Marketing Research, 8, 173–178. 10.2307/3149757
   Web of Science ®Google Scholar
• Mauri, A. G., & Minazzi, R. (2013). Web reviews influence on expectations and purchasing intentions of hotel potential customers. International Journal of Hospitality Management, 34, 99–107. 10.1016/j.ijhm.2013.02.012
   Web of Science ®Google Scholar
• Meyers-Levy, J., & Loken, B. (2015). Revisiting gender differences: What we know and what lies ahead. Journal of Consumer Psychology, 25, 129–149. 10.1016/j.jcps.2014.06.003
   Web of Science ®Google Scholar
• Michelle, H. (2006). Web word of mouth. Marketing Magazine, 111, 4–5.
   Google Scholar
• Mo, P. K. H., Malik, S. H., & Coulson, N. S. (2009). Gender differences in computer- mediated communication: A systematic literature review of online health-related support groups. Patient Education and Counseling, 75, 16–24. 10.1016/j.pec.2008.08.029
   PubMed Web of Science ®Google Scholar
• Murray, K. B. (1991). A test of services marketing theory: Consumer information acquisition activities. Journal of Marketing, 55, 10–25. 10.2307/1252200
   Web of Science ®Google Scholar
• Ng, C. S. P. (2013). Intention to purchase on social commerce websites across cultures: A cross regional study. Information & Management, 50, 609–620.
   Web of Science ®Google Scholar
• Öğüt, H., & Onur Taş, B. K. O. (2012). The influence of internet customer reviews on online sales and prices in hotel industry. The Service Industries Journal, 32, 197–214. 10.1080/02642069.2010.529436
   Web of Science ®Google Scholar
• Olsen, R. A. & Cox, C. M. (2001). The influence of gender on the perception and response to investment risk: The case of professional investors. Journal of Psychology and Financial Markets, 2, 29–36. 10.1207/S15327760JPFM0201_3
   Google Scholar
• Pascual-Miguel, F. J., Agudo-Peregrina, A. F., & Chaparro-Peláez, J. (2015). Influences of gender and product type on online purchasing. Journal of Business Research, 68, 1550–1556.
   Web of Science ®Google Scholar
• Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments & Computers, 36, 717–731.
   PubMedGoogle Scholar
• Reza Jalilvand, M. R., & Samiei, N. (2012). The impact of electronic word of mouth on a tourism destination choice. Internet Research, 22, 591–612. 10.1108/10662241211271563
   Web of Science ®Google Scholar
• Rodgers, S., & Harris, M. A. (2003). Gender and e-commerce: An exploratory study. Journal of Advertising Research, 43, 322–329. 10.2501/JAR-43-3-322-329
   Web of Science ®Google Scholar
• Settle, R. B., & Alreck, P. L. (1989). Reducing buyers’ sense of risk. Marketing Communications, 14, 34–40.
   Google Scholar
• Sheth, J. N. (1971). Word-of-mouth in low-risk innovations. Journal of Advertising Research, 11, 15–18.
   Web of Science ®Google Scholar
• Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and non-experimental studies: New procedures and recommendations. Psychological Methods, 7, 422–445. 10.1037/1082-989X.7.4.422
   PubMed Web of Science ®Google Scholar
• Smith, T., Coyle, J., Lightfoot, E., & Scott, A. (2007). Reconsidering models of influence: The relationship between consumer social networks and word-of-mouth effectiveness. Journal of Advertising Research, 47, 387–397. 10.2501/S0021849907070407
   Web of Science ®Google Scholar
• Soares, A. M., Pinho, J. C., & Nobre, H. (2012). From social to marketing interactions: The role of social networks. Journal of Transnational Management, 17, 45–62. 10.1080/15475778.2012.650085
   Google Scholar
• Sparks, B. A., & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32, 1310–1323. 10.1016/j.tourman.2010.12.011
   Web of Science ®Google Scholar
• Stewart, K. (2003). Trust transfer on the world wide web. Organization Science, 14. 5–17. 10.1287/orsc.14.1.5.12810
   Web of Science ®Google Scholar
• Sun, H., & Zhang, P. (2006). The role of moderating factors in user technology acceptance. International Journal of Human-Computer Studies, 64, 53–78. 10.1016/j.ijhcs.2005.04.013
   Web of Science ®Google Scholar
• Swan, J. E., Bowers, M. R., & Richardson, L. D. (1999). Customer trust in the salesperson: An integrative review and meta-analysis of the empirical literature. Journal of Business Research, 44, 93–107. 10.1016/S0148-2963(97)00244-0
   Web of Science ®Google Scholar
• Taylor, D. G., Lewin, J. E., & Strutton, D. (2011). Friends, fans, and followers: Do ads work on social networks? Journal of Advertising Research, 51, 258–275. 10.2501/JAR-51-1-258-275
   Web of Science ®Google Scholar
• Travel Industry Association of America- TIA. (2005). Executive summaries-travelers’ use of the internet, 2004 ed. Retrieved from http://www.tia.org/researchpubs/executive_summaries_travelers_use.htm. November, 2005
   Google Scholar
• Turkish Ministry of Health (2012). Evaluation report on medical tourism in Turkey. Handbook: Directorate General of Health Services.
   Google Scholar
• Vermeulen, I. E., & Seegers, D. (2009). Tried and tested: The impact of online hotel reviews on consumer consideration”. Tourism Management, 30, 123–127. 10.1016/j.tourman.2008.04.008
   Web of Science ®Google Scholar
• Vincent, C. S. H., Deniz, K., & Haiyan, S. (2011). Medical tourism development in Hong Kong: An assessment of the barriers. Tourism Management, 32, 995–1005.
   Web of Science ®Google Scholar
• White, M. H., & Dorman, S. M. (2000). Online support for caregiver’s analysis of an internet Alzheimer’s mail group. Computers in Nursing, 18, 168–176.
   PubMedGoogle Scholar
• Winch, G., & Joyce, P. (2006). Exploring the dynamics of building and losing consumer trust in B2C e-business. International Journal of Retail & Distribution Management, 34, 541–555.
   Google Scholar
• Woodman, J. (2008). Patients beyond borders: Everybody’s guide to affordable, world-class medical travel (2nd ed.). Chapel Hill, NC: Healthy Travel Media.
   Google Scholar
• World-Report. (2010). Medical tourism booms in India, but at what cost? Vol 376 Retrieved from www.thelancet.com. August, 2010)
   Google Scholar
• Wu, P. C. S., & Wang, Y. (2011). The influences of electronic word-of-mouth message appeal and message source credibility on brand attitude. Asia Pacific Journal of Marketing and Logistics, 23, 448–472. 10.1108/13555851111165020
   Google Scholar
• Ye, B. H, Yuen, P. P, Qiu, H. Z., & Zhang, V. H. (2008). Motivation of medical tourists: An exploratory case study of Hong Kong medical tourists. Paper presented at the APTA Annual Conference, Bangkok, Thailand.
   Google Scholar
• Ye, Q., Law, R., & Gu, B. (2009). The impact of online user reviews on hotel room sales. International Journal of Hospitality Management, 28, 180–182. 10.1016/j.ijhm.2008.06.011
   Web of Science ®Google Scholar
• Youngman, I. (2015). Medical tourism research: Facts and Figures 2015. Retrieved from http://www.imtj.com/resources/medical-tourism-research-facts-and-figures-2015/. January 2015).
   Google Scholar
• Zhu, M., & Lai, S. (2009). A study about the WOM influence on tourism destination choice, paper presented at the International Conference on Electronic Commerce and Business Intelligence (ECBI), Beijing, 6-7 June, Retrieved from http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber¼05189500. October 5, 2011.
   Google Scholar