Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Revisit Intention: A Preliminary Investigation of GCC Tourists’ Electronic Word of Mouth, Destination Image, and Perceived Risk


Affiliations
1 College of Business Administration, Taif University, Taif 21944, Saudi Arabia
2 Faculty of Business Administration, University of Medical Sciences and Technology, Khartoum, Sudan
3 Faculty of Education, East China Normal University, China
4 College of Business Administration, Taif University, Saudi Arabia
5 Graduate School of Business, Universiti Kebangsaan Malaysia, Malaysia
     

   Subscribe/Renew Journal


Despite the substantial economic contribution of the tourism sector globally, studies on revisit intention have been rather scarce, particularly within the Malaysian context. Addressing that, the present study aimed to determine the determinants that influence revisit intention among Gulf Cooperation Council (GCC) tourists in Malaysia. A conceptual model that comprised of electronic word of mouth (eWOM), destination image, perceived risk, and revisit intention was proposed for testing. Furthermore, destination image was assessed in terms of cognitive image, affective image, and unique image. The study successfully sampled 401 GCC tourists, specifically from Saudi Arabia, Oman, Kuwait, and the UAE, in several popular tourist spots in Malaysia. AMOS (version 18) was used to perform the main analysis of the present study, specifically structural equation modelling (SEM). Based on the obtained results, eWOM was found to directly influence cognitive image, affective image, and unique image. These three dimensions of destination image were also found to directly influence revisit intention. Surprisingly, only affective image was found to mediate the relationship between eWOM and revisit intention whereas perceived risk did not directly influence destination image and revisit intention. Overall, this study provided pertinent insights on revisit intention and its significant determinants, which were expected to largely benefit researchers and practitioners in the tourism sector.

Keywords

Revisit Intention, Electronic Word of Mouth, Destination Image, Perceived Risk, Structural Equation Modelling
Subscription Login to verify subscription
User
Notifications
Font Size


  • Abodeeb, J., Wilson, E., & Moyle, B. (2015). Shaping destination image and identity: Insights for Arab tourism at the Gold Coast, Australia. International Journal of Culture, Tourism and Hospitality Research, 9(1), 6-21.
  • Agapito, D., Valle, P., & Mendes, J. (2013). The cognitive-affective-conative model of destination image: A confirmatory analysis. Journal of Travel & Tourism Marketing, 30(5), 471-481.
  • Akın, M. (2015). A novel approach to model selection in tourism demand modeling. Tourism Management, 48, 64-72.
  • Akyüz, A. (2013). Determinant factors influencing eWOM. Mediterranean Journal of Social Sciences, 4(11), 159-166.
  • Albarq, A. N. (2014). Measuring the impacts of online word-of-mouth on tourists’ attitude and intentions to visit Jordan: An empirical study. International Business Research, 7(1), 14-22.
  • Amaro, S., & Duarte, P. (2015). An integrative model of consumers’ intentions to purchase travel online. Tourism Management, 46, 64-79.
  • Ayyildiz, H., & Turna, G. B. (2013). Perceived image of Spain and Germany as a tourist destination for Dutch travelers. Journal of Economics, Business and Management, 1(1), 85-89.
  • Baumgarten, J. C., & Kent, G. J. W. (2010). Executive summary. Travel and tourism economic impact. London, United Kingdom: World Travel and Tourism Council.
  • Beirman, D. (2003). United States: September 11, 2001 terrorist attack: The impact on American and global tourism. In D. Beirman (Ed.), Restoring Tourism Destinations in Crisis: A Strategic Marketing Approach (pp. 43-68). Oxon: CABI Publishing.
  • Bigne, E., Sanz, S., Ruiz, C., & Aldas, J. (2010). Why some internet users don’t buy air tickets online. In U. Gretzel, R. Law, & M. Fuchs (Eds.), Information and Communication Technologies in Tourism 2010 (pp. 209-221). Vienna, Austria: Springer.
  • Bigne, J. E., Sanchez, I., & Andreu, L. (2009). The role of variety seeking in short and long run revisit intentions in holiday destinations. International Journal of Culture, Tourism and Hospitality Research, 3(2), 103-115.
  • Chang, L., Backman, K. F., & Huang, Y. C. (2014). Creative tourism: A preliminary examination of creative tourists’ motivation, experience, perceived value and revisit intention. International Journal of Culture, Tourism and Hospitality Research, 8(4), 401-419.
  • Chen, C. C., Mussalam, G. Q., & Scagnolari, S. (2014). The Gulf cooperation council (GCC) source market report. Retrieved from http://www.tourobs.ch/media/12508/gcc-source-market-report-ovt-2014.pdf
  • Cheng, X., & Zhou, M. (2010, August). Study on effect of eWOM: A literature review and suggestions for future research. Proceedings of the International Conference on Management and Service Science (pp. 1-4). Wuhan, China.
  • Chew, E. Y. T., & Jahari, S. A. (2014). Destination image as a mediator between perceived risks and revisit intention: A case of post-disaster Japan. Tourism Management, 40, 382-393.
  • Chomeya, R. (2010). Quality of psychology test between likert scale 5 and 6 points. Journal of Social Sciences, 6(3), 399-403.
  • Costa, J. (1987). Image global. Barcelona: CEAC.
  • Crompton, J. L. (1979). An assessment of the image of Mexico as a vacation destination and the influence of geographical location upon that image. Journal of Travel Research, 17(4), 18-23.
  • Dellarocas, C. (2003). The digitization of word-of-mouth: Promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407-1424.
  • Echtner, C., & Ritchie, J. (1991). The meaning and measurement of destination image. Journal of Tourism Studies, 2(2), 2-12.
  • Echtner, C., & Ritchie, J. (1993). The measurement of destination image: An empirical assessment. Journal of Travel Research, 31(4), 3-13.
  • Economic Planning Unit (1986). Fifth Malaysia Plan, 1986-1990. Retrieved from http://www.epu.gov.my/en/rmk/fifth-malaysia-plan-1986-1990
  • Fakharyan, M., Jalilvand, M. R., Elyasi, M., & Mohammadi, M. (2012). The influence of online word of mouth communications on tourists’ attitudes toward Islamic destinations and travel intention: Evidence from Iran. African Journal of Business Management, 6(38), 10381-10388.
  • Floyd, M. F., Gibson, H., Pennington-Gray, L., & Thapa, B. (2003). The effect of risk perceptions on intentions to travel in the aftermath of September 11, 2001. Journal of Travel & Tourism Marketing, 15(2/3), 19-38.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 48, 39-50.
  • Fuchs, G., & Reichel, A. (2011). An exploratory inquiry into destination risk perceptions and risk reduction strategies of first time vs. repeat visitors to a highly volatile destination. Tourism Management, 32(2), 266-276.
  • Gartner, W. (1993). Image formation process. Journal of Travel and Tourism Marketing, 2(2/3), 191-215.
  • Goldenberg, J., Libai, B., & Muller, E. (2001). Talk of the network: A complex systems look at the underlying process of word-of-mouth. Journal of Marketing Letter, 12(3), 211-223.
  • Goyette, I., Ricard, L., Bergeron, J., & Marticotte, F. (2010). e-WOM scale: Word-of-mouth measurement scale for e-Services context. Canadian Journal of Administrative Sciences, 27(1), 5-23.
  • Hagag, W., Clark, L., & Wheeler, C. (2015). A framework for understanding the website preferences of Egyptian online travel consumers. International Journal of Culture, Tourism and Hospitality Research, 9(1), 68-82.
  • Hair Jr, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis: A global perspective. New Jersey: Pearson Upper Saddle River.
  • Henderson, J. C. (2015). Destination development and transformation: 50 years of tourism after independence in Singapore. International Journal of Tourism Cities, 1(4), 269-281.
  • Hsu, T. H., & Lin, L. Z. (2006). Using fuzzy set theoretic techniques to analyze travel risk: An empirical study. Tourism Management, 27, 968-981.
  • Hu, B. (2003). The impact of destination involvement on travellers’ revisit intentions (Doctoral dissertation, The Faculty of Purdue University Graduate School, West Lafayette, IN).
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.
  • Isa, S. M., & Ramli, L. (2014). Factors influencing tourist visitation in marine tourism: Lessons learned from FRI Aquarium Penang, Malaysia. International Journal of Culture, Tourism and Hospitality Research, 8(1), 103-117.
  • Islam, A. Y. M. A. (2016). Development and validation of the technology adoption and gratification (TAG) model in higher education: A cross-cultural study between Malaysia and China. International Journal of Technology and Human Interaction, 12(3), 78-105.
  • Islam, A. Y. M. A., Mok, M. M. C, Gu, X., Spector, J. M., & Leng, C. H. (2019). ICT in higher education: An exploration of practices in Malaysian universities. IEEE Access, 7(1), 16892-16908.
  • Jalilvand, M. R., & Samiei, N. (2012). Perceived risks in travelling to the Islamic Republic of Iran. Journal of Islamic Marketing, 3(2), 175-189.
  • 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(1), 134-143.
  • Jensen, J. M. (2012). Shopping orientation and online travel shopping: The role of travel experience. International Journal of Tourism Research, 14(1), 56-70.
  • Jeong, E., & Jang, S. S. (2011). Restaurant experiences triggering positive electronic word of mouth (eWOM) motivations. International Journal of Hospitality Management, 30(2), 356-366.
  • Kani, Y., Aziz, Y. A., Sambasivan, M., & Bojei, J. (2017). Antecedents and outcomes of destination image of Malaysia. Journal of Hospitality and Tourism Management, 32, 89-98.
  • Kim, L. H., Qu, H., & Kim, D. J. (2009). A study of perceived risk and risk reduction of purchasing air-tickets online. Journal of Travel & Tourism Marketing, 26(3), 203-224.
  • Kolsaker, A., Lee-Kelley, L., & Choy, P. C. (2004). The reluctant Hong Kong consumer: Purchasing travel online. International Journal of Consumer Studies, 28(3), 295-304.
  • Kong, W. H., Cros, H. D., & Ong, C. (2015). Tourism destination image development: A lesson from Macau. International Journal of Tourism Cities, 1(4), 299-316.
  • Korstanje, M. E., & Clayton, A. (2012). Tourism and terrorism: Conflicts and commonalities. Worldwide Hospitality and Tourism Themes, 4(1), 8-25.
  • Kotler, N., Haider, D., & Rein, L. (1994). Mercadotecnia de localidades. Mexico: Diana.
  • Lai, K. (2015). Destination images penetrated by mega-events: A behaviorist study of the 2008 Beijing Olympics. Asia Pacific Journal of Tourism Research, 20(4), 378-398.
  • Li, F., & Ryan, C. (2015). Chinese tourists’ motivations and satisfaction of visiting North Korea. Asia Pacific Journal of Tourism Research, 20(12), 1313-1331.
  • Li, M., Cai, L. A., Lehto, X. Y., & Huang, Z. (2010). A missing link in understanding revisit intention - The role of motivation and image. Journal of Travel & Tourism Marketing, 27(4), 335-348.
  • Liao, B. Y., Wang, P. W., Su, Y. J., Shih, M. L., Chiu, C. C., & Chang, T. J. (2010). Analysis of Internet word-of-mouth regarding Taiwan’s resort hotels. Proceedings of the International Conference on Information Sciences and Interaction Sciences (pp. 200-204).
  • Lin, C. H., Morais, D. B., Kerstetter, D. L., & Hou, J. S. (2007). Examining the role of cognitive and affective image in predicting choice across natural, developed, and theme-park destinations. Journal of Travel Research, 46, 1-12.
  • Lin, L., & Yeh, H. (2013). Analysis of tour values to develop enablers using an interpretive hierarchy-based model in Taiwan. Tourism Management, 34, 133-144.
  • Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458-468.
  • Llodrà-Riera, I., Martínez-Ruiz, M. P., Jiménez-Zarco, A. I., & Izquierdo-Yusta, A. (2015). A multidimensional analysis of the information sources construct and itsrelevance for destination image formation. Tourism Management, 48, 319-328.
  • Lo, M. C., Mohammad, A. A., Songan, P., & Yeo, A. W. (2012). Positioning rural tourism: Perspectives from the local communities. International Journal of Trade, Economics and Finance, 3(1), 59-65.
  • Maggon, M., & Chaudhry, H. (2015). Revisiting relationship marketing and customer relationship management in leading tourism and hospitality journals: Research trends from 2001 to 2013. Journal of Relationship Marketing, 14(1), 53-77.
  • Mansfeld, Y. (2006). The role of security information in tourism crisis management: The missing link. In Y. Mansfeld, & A. Pizam (Eds.), Tourism, Security & Safety from Theory to Practice. Burlington, MA: Elsevier, Butterworth-Heinemann.
  • Marsh, H. W., Hau, K. T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s 1999 findings. Structural Equation Modeling, 11(3), 320-341.
  • Mat Som, A. P., Marzuki, A., Yousefi, M., & AbuKhalifeh, A. N. (2012). Factors influencing visitors’ revisit behavioral intentions: A case study of Sabah, Malaysia. International Journal of Marketing Studies, 4(4), 39-50.
  • Mechinda, P., Serirat, S., Anuwichanont, J., & Gulid, N. (2010). An examination of tourists’ loyalty towards medical tourism in Pattaya, Thailand. International Business and Economic Research Journal, 9(1), 55-70.
  • Merinero-Rodríguez, R., & Pulido-Fernandez, J. I. (2016). Analysing relationships in tourism: A review. Tourism Management, 54, 122-135.
  • Milman, A., & Pizan, A. (1995). The role of awareness and familirity with a destination: The central Florida case. Journal of Travel Research, 33(3), 21-27.
  • Mlozi, S. (2014). Loyalty program in Africa: Risk-seeking and risk-averse adventurers. Tourism Review, 69(2), 137-157.
  • Musa, G., Mohammad, I., Thirumoorthi, T., Moghavvemi, S., & Kasim, A. (2015). Exploring visitors’ experience using strategic experiential modules (SEMs): The case of Zoo Negara, Kuala Lumpur. International Journal of Tourism Cities, 1(3), 234-253.
  • Nair, V., Munikrishnan, U. T., Rajaratnam, S. D., & King, N. (2015). Redefining rural tourism in Malaysia: A conceptual perspective. Asia Pacific Journal of Tourism Research, 20(3), 314-337.
  • Nassar, M. A., Mostafa, M. M., & Reisinger, Y. (2015). Factors influencing travel to Islamic destinations: An empirical analysis of Kuwaiti nationals. International Journal of Culture, Tourism and Hospitality Research, 9(1), 36-53.
  • Omar, S. I., Othman, A. G., & Mohamed, B. (2014). The tourism life cycle: An overview of Langkawi Island, Malaysia. International Journal of Culture, Tourism and Hospitality Research, 8(3), 272-289.
  • Papadimitriou, D., Apostolopoulou, A., & Kaplanidou, K. (2015). Destination personality, affective image, and behavioral intentions in domestic urban tourism. Journal of Travel Research, 54(3), 302-315.
  • Pereira, R. L. G., Correia, A., & Schutz, R. L. A. (2015). Golf destinations’ brand personality: The case of the Algarve. International Journal of Culture, Tourism and Hospitality Research, 9(2), 133-153.
  • Prebensen, N. K. (2007). Exploring tourists’ images of a distant destination. Tourism Management, 28(3), 747-756.
  • Qu, H., Kim, L. H., & Im, H. H. (2011). A model of destination branding: Integrating the concepts of the branding and destination image. Tourism Management, 32, 465-476.
  • Quintal, V. A., & Polczynski, A. (2010). Factors influencing tourists’ revisit intentions. Asia Pacific Journal of Marketing and Logistics, 22(4), 554-578.
  • Reichel, A., Fuchs, G., & Uriely, N. (2007). Perceived risk and the non-institutionalized tourist role: The case of Israeli student ex-backpackers. Journal of Travel Research, 46(3), 217-226.
  • Ritchie, B. W., Chien, P. M., & Watson, B. M. (2014). It can’t happen to me: Travel risk perceptions. Tourists’ Behaviors and Evaluations, 9, 65-73.
  • Rittichainuwat, B. N., & Chakraborty, G. (2009). Perceived travel risks regarding terrorism and disease: The case of Thailand. Tourism Management, 30(3), 410-418.
  • Rong, J., Vu, H. Q., Law, R., & Li, G. (2012). A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining. Tourism Management, 33, 731-740.
  • San Martin, H., & Rodríguez del Bosque, I. A. (2008). Exploring the cognitiveeaffective nature of destination image and the role of psychological factors in its formation. Tourism Management, 29(2), 263-277.
  • Setiawan, P. Y. (2014). The effect of e-wom on destination image, satisfaction and loyalty. International Journal of Business and Management Invention, 3(1), 22-29.
  • Shakona, M., Backman, K., Backman, S., Norman, W., Luo, Y., & Duffy, L. (2015). Understanding the traveling behavior of Muslims in the United States. International Journal of Culture, Tourism and Hospitality Research, 9(1), 22-35.
  • Sheng, C., & Chen, M. (2013). Tourist experience expectations: Questionnaire development and text narrative analysis. International Journal of Culture, Tourism and Hospitality Research, 7(1), 93-104.
  • Sirakaya, E., & Woodside, A. (2005). Building and testing theories of decision making by travelers. Tourism Management, 26, 815-832.
  • Sirgy, M. J., & Su, C. (2000). Destination image, self-congruity, and travel behavior: Toward an integrative model. Journal of Travel Research, 38(1), 340-352.
  • Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290-312.
  • Soderlund, M., & Rosengren, S. (2007). Receiving word-of-mouth from the service customer: An emotion-based effectiveness assessment. Journal of Retailing and Consumer Services, 14(2), 123-136.
  • Sonmez, S., & Graefe, A. (1998). Determining future travel behaviour from past travel experiences and perceptions of risk and safety. Journal of Travel Research, 37(4), 171-177.
  • Stylos, N., & Andronikidis, A. (2013). Exploring the cognitive image of a tourism destination. Tourismos, 8(3).
  • Su, Y., & Lin, H. (2014). Analysis of international tourist arrivals worldwide: The role of world heritage sites. Tourism Management, 40, 46-58.
  • Tang, Z. (2015). An integrated approach to evaluating the coupling coordination between tourism and the environment. Tourism Management, 46, 11-19.
  • Torlak, O., Ozkara, B. Y., Tiltay, M. A., Cengiz, H., & Dulger, M. F. (2014). The effect of electronic word of mouth on brand image and purchase intention: An application concerning cell phone brands for youth consumers in Turkey. Journal of Marketing Development and Competitiveness, 8(2), 61-68.
  • Tourism Malaysia. (2014). Malaysia Tourism Report 2014. Retrieved from http://www.tourism.gov.my/pdf/uploads/activities/Tourism_AR2014_FA.pdf
  • Tourism Malaysia. (2016). Tourism Malaysia with the cooperation of Immigration Department, 2016.
  • Retrieved from http://mytourismdata.tourism.gov.my/wp-content/uploads/2016/03/TOP-45-DEC-2015-website.pdf
  • World Tourism Organization. (2013). UNWTO Annual Report 2012. Madrid: UNWTO. Retrieved from Madrid.://cf.cdn.unwto.org/ sites/all/files/pdf/ annual_report_2012.pdf
  • World Travel and Tourism Council Report. (2016). Economic impact annual update summary. Retrieved from http://www.wttc.org/research/economic-research/economic-impact-analysis/
  • World Tourism Organization. (2013). UNWTO, tourism highlights (2021 Edition). Retrieved May 7, 2021, from http/mkt.unwto.org/sites/all
  • Yun, Z. S., & Good, L. K. (2007). Developing customer loyalty from e-tail store image attributes. Managing Service Quality: An International Journal, 17(1), 4-22.
  • Zhou, M., & Lai, S. (2009, June). A study about the WOM influence on tourism destination choice. Paper Presented at the International Conference on Electronic Commerce and Business Intelligence (ECBI), 6-7 June, Beijing, China. Retrieved from http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05189500

Abstract Views: 328

PDF Views: 0




  • Revisit Intention: A Preliminary Investigation of GCC Tourists’ Electronic Word of Mouth, Destination Image, and Perceived Risk

Abstract Views: 328  |  PDF Views: 0

Authors

Reem Abdulrahman Alfaisaly
College of Business Administration, Taif University, Taif 21944, Saudi Arabia
Yusuf Kani
Faculty of Business Administration, University of Medical Sciences and Technology, Khartoum, Sudan
A. Y. M. Atiquil Islam
Faculty of Education, East China Normal University, China
Abdulrahman Saleh Alalyani
College of Business Administration, Taif University, Saudi Arabia
Norzalita Abd Aziz
Graduate School of Business, Universiti Kebangsaan Malaysia, Malaysia

Abstract


Despite the substantial economic contribution of the tourism sector globally, studies on revisit intention have been rather scarce, particularly within the Malaysian context. Addressing that, the present study aimed to determine the determinants that influence revisit intention among Gulf Cooperation Council (GCC) tourists in Malaysia. A conceptual model that comprised of electronic word of mouth (eWOM), destination image, perceived risk, and revisit intention was proposed for testing. Furthermore, destination image was assessed in terms of cognitive image, affective image, and unique image. The study successfully sampled 401 GCC tourists, specifically from Saudi Arabia, Oman, Kuwait, and the UAE, in several popular tourist spots in Malaysia. AMOS (version 18) was used to perform the main analysis of the present study, specifically structural equation modelling (SEM). Based on the obtained results, eWOM was found to directly influence cognitive image, affective image, and unique image. These three dimensions of destination image were also found to directly influence revisit intention. Surprisingly, only affective image was found to mediate the relationship between eWOM and revisit intention whereas perceived risk did not directly influence destination image and revisit intention. Overall, this study provided pertinent insights on revisit intention and its significant determinants, which were expected to largely benefit researchers and practitioners in the tourism sector.

Keywords


Revisit Intention, Electronic Word of Mouth, Destination Image, Perceived Risk, Structural Equation Modelling

References