Impact of online WOM on destination trust and intention to travel: A medical tourism perspective

Abstract Electronic word-of-mouth (WOM), also known as eWOM, is one of the most influential sources of information on the web. The aim of this study is to examine the impact of online WOM on destination trust and intention to travel in the medical tourism sector. In addition, the paper examines the moderating effect of income on the researched variables. Structural equation modeling is applied to examine the interplay between the proposed variables, using a sample of 216 respondents. The empirical results suggest that: online WOM positively influences destination trust and intention to travel; destination trust positively influences intention to travel; rising income strengthens the relationship between online WOM and intention to travel; and rising income weakens the relationship between destination trust and intention to travel. Implications and future research directions are discussed.

[1]  B. Gu,et al.  The impact of online user reviews on hotel room sales , 2009 .

[2]  M. Jalilvand,et al.  The effect of electronic word of mouth on brand image and purchase intention , 2012 .

[3]  S. Li,et al.  The Influence of eWOM on Virtual Consumer Communities: Social Capital, Consumer Learning, and Behavioral Outcomes , 2007, Journal of Advertising Research.

[4]  Scott B. MacKenzie,et al.  Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies , 2012 .

[5]  Mridula Dwivedi,et al.  Online destination image of India: a consumer based perspective , 2009 .

[6]  Dwayne D. Gremler,et al.  Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .

[7]  Robert M. Schindler,et al.  Internet forums as influential sources of consumer information , 2001 .

[8]  Yuksel Ekinci,et al.  Destination image and destination personality: An application of branding theories to tourism places , 2006 .

[9]  Paul A. Pavlou,et al.  Understanding and Mitigating Uncertainty in Online Exchange Relationships: A Principal-Agent Perspective , 2007, MIS Q..

[10]  Mark S. Johnson,et al.  The Different Roles of Satisfaction, Trust, and Commitment in Customer Relationships , 1999 .

[11]  C. Jayawardhena,et al.  e-Consumer Behaviour , 2009 .

[12]  T. Abdellatif,et al.  Exploration of the Tourism Destination Image's Determinants on the Revisit Intention: The Case of Tunisia , 2015 .

[13]  Richard Smith,et al.  Why do medical tourists travel to where they do? The role of networks in determining medical travel. , 2015, Social science & medicine.

[14]  D. Papadimitriou,et al.  Benefits Sought and Realized by Active Mountain Sport Tourists in Epirus, Greece: Pre- and Post-Trip Analysis , 2008 .

[15]  Raffaele Filieri,et al.  E-WOM and Accommodation , 2014 .

[16]  Jerry W Lee,et al.  Understanding Soft Drink Consumption Among Male Adolescents Using the Theory of Planned Behavior , 2004, Journal of Behavioral Medicine.

[17]  Philippe Duverger,et al.  Curvilinear Effects of User-Generated Content on Hotels’ Market Share , 2013 .

[18]  Hamid Beladi,et al.  Medical tourism and health worker migration in developing countries , 2015 .

[19]  Rajdeep Grewal,et al.  Early-Entrant Advantage, Word-of-Mouth Communication, Brand Similarity, and the Consumer Decision-Making Process , 2003 .

[20]  M. Jalilvand,et al.  Examining the structural relationships of electronic word of mouth, destination image, tourist attitude toward destination and travel intention: an integrated approach. , 2012 .

[21]  C. Flavián,et al.  Do online hotel rating schemes influence booking behaviors , 2015 .

[22]  B. Pan,et al.  A retrospective view of electronic word-of-mouth in hospitality and tourism management , 2017 .

[23]  M. Martínez Álvarez,et al.  Medical tourism: a review of the literature and analysis of a role for bi-lateral trade. , 2011, Health policy.

[24]  Heesup Han,et al.  The healthcare hotel: Distinctive attributes for international medical travelers , 2013 .

[25]  Rong-An Shang,et al.  The effects of perceived relevance of travel blogs' content on the behavioral intention to visit a tourist destination , 2014, Comput. Hum. Behav..

[26]  Heesup Han,et al.  Customer retention in the medical tourism industry: Impact of quality, satisfaction, trust, and price reasonableness , 2015 .

[27]  Irem Arsal,et al.  Influence of an Online Travel Community on Travel Decisions , 2008, ENTER.

[28]  Haiyan Song,et al.  Medical tourism development in Hong Kong: An assessment of the barriers , 2011 .

[29]  I. Vermeulen,et al.  Tried and tested: The impact of online hotel reviews on consumer consideration , 2009 .

[30]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[31]  Mustafa İlkan,et al.  More Adverts or More eWOM's , 2013 .

[32]  K. Pauwels,et al.  Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site , 2009 .

[33]  K. M. Cheng.  Tourism demand in Hong Kong: income, prices, and visa restrictions , 2012 .

[34]  Jayraj Roodurmun.  Influence of trust on destination loyalty - An empirical analysis - The discussion of the research approach , 2010 .

[35]  B. Muthén,et al.  Assessing Reliability and Stability in Panel Models , 1977 .

[36]  S. Hohmann,et al.  Factors influencing medical travel into the United States , 2015 .

[37]  Nicolas Papadopoulos,et al.  Country equity and country branding: Problems and prospects , 2002 .

[38]  H. Yang.  The Impact of Moving Pharmaceutical Products from Prescription Only to Over-the-Counter Status on Consumer Exposure to Advertising , 2011 .

[39]  Cynthia M. Webster.  Influences Upon Consumer Expectations of Services , 1991 .

[40]  K. Bollen.  A New Incremental Fit Index for General Structural Equation Models , 1989 .

[41]  A. Abubakar,et al.  Motivational factors for educational tourism: A case study in Northern Cyprus , 2014 .

[42]  J. S. Tanaka,et al.  A fit index for covariance structure models under arbitrary GLS estimation , 1985 .

[43]  N. Modeste,et al.  Understanding soft drink consumption among female adolescents using the Theory of Planned Behavior. , 2003, Health education research.

[44]  Min Zhu,et al.  A Study about the WOM Influence on Tourism Destination Choice , 2009, 2009 International Conference on Electronic Commerce and Business Intelligence.

[45]  Y. Ko,et al.  The Effects of Switching Cost Perceived by Patients and Negative Word of Mouth on Revisiting Intention for Hospital Patients , 2011 .

[46]  Kenneth E. Miller,et al.  Socio‐demographic constraints to travel behavior , 2009 .

[47]  Elena Delgado-Ballester,et al.  Applicability of a brand trust scale across product categories , 2004 .

[48]  G. Chick,et al.  Possibility of Refining the Hierarchical Model of Leisure Constraints Through Cross-Cultural Research , 2004 .

[49]  Carol C. Bienstock,et al.  An analysis of how nonresponse error is assessed in academic marketing research , 2007 .

[50]  Gang Li,et al.  Tourism economics research: A review and assessment , 2012 .

[51]  B. Sparks,et al.  The impact of online reviews on hotel booking intentions and perception of trust. , 2011 .

[52]  S. Ramaswami,et al.  Consumers’ Responses to Negative Word-of-Mouth Communication: An Attribution Theory Perspective , 2001 .

[53]  Heesup Han,et al.  Image Congruence and Relationship Quality in Predicting Switching Intention , 2013 .

[54]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[55]  B. Ye,et al.  Motivations and experiences of Mainland Chinese medical tourists in Hong Kong , 2011 .

[56]  Heesup Han,et al.  Medical Tourism—Attracting Japanese Tourists For Medical Tourism Experience , 2012 .

[57]  S. Hunt,et al.  The Commitment-Trust Theory of Relationship Marketing , 1994 .

[58]  Silke Bambauer-Sachse,et al.  Brand equity dilution through negative online word-of-mouth communication , 2011 .

[59]  Riadh Ladhari,et al.  eWOM effects on hotel booking intentions, attitudes, trust, and website perceptions , 2015 .

[60]  Mohammad Reza Jalilvand,et al.  The impact of electronic word of mouth on a tourism destination choice: Testing the theory of planned behavior (TBP) , 2012, Internet Res..

[61]  N. Morgan,et al.  Destination branding and the role of the stakeholders: The case of New Zealand , 2003 .

[62]  Jeremy Snyder,et al.  “I didn’t even know what I was looking for”: A qualitative study of the decision-making processes of Canadian medical tourists , 2012, Globalization and Health.

[63]  W. Hunter,et al.  Medical Tourism: A New Global Niche , 2007 .

[64]  J. Scott Armstrong,et al.  Estimating nonresponse bias in mail surveys. , 1977 .

[65]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[66]  Martina G. Gallarza,et al.  Destination image: towards a conceptual framework. , 2002 .

[67]  Dina Mayzlin,et al.  Promotional Chat on the Internet , 2006 .

[68]  Yeong-Hyeon Hwang,et al.  User-generated Destination Image through Weblogs: A Comparison of Pre- and Post-visit Images , 2011 .

[69]  J. Bao,et al.  Income Distribution, Tourist Commercialisation, and Hukou Status: A Socioeconomic Analysis of Tourism in Xidi, China , 2008 .

[70]  Hulisi Ögüt,et al.  The influence of internet customer reviews on the online sales and prices in hotel industry , 2012 .

[71]  S. Sen,et al.  Why are you telling me this? An examination into negative consumer reviews on the Web , 2007 .

[72]  Chew Ging Lee.  Tourism, trade, and income: evidence from Singapore , 2012 .

[73]  Rajendra Mishra.  Making Indian Healthcare Market a Global Medical Tourism Destination , 2012 .