USE OF SMART TECHNOLOGIES AND INDIVIDUAL RE-CONSIDERATION OF TOURISM DESTINATION
PDF/A

Keywords

Smart Tourism Application
Preferred Experience
Tourist Satisfaction
Tourist Re-consideration
Technology Orientation

How to Cite

Al Mousa, H. A. (2022). USE OF SMART TECHNOLOGIES AND INDIVIDUAL RE-CONSIDERATION OF TOURISM DESTINATION . Lex Humana (ISSN 2175-0947), 14(1), 471–485. Retrieved from https://seer.ucp.br/seer/index.php/LexHumana/article/view/2345

Abstract

The impact of smart tourism application (STA) on tourist satisfaction (TS) and tourist re-consideration (TRC) has attracted the interest of researchers around the world. The present study investigated the impact of STA and preferred experience (PE) on TS and TRC. Besides, the role of PE in mediating the relationship between STA and TS, TRC was examined. In addition, the moderation role of technology orientation (TO) on the relationship between STA and PE was also tested. Convenient sampling technique was applied to 263 participants from Targeted population as the research context. Therefore, the researchers utilized the structural equation model (SEM) to analyse the data collected using SPSS.v25 and SmartPLS.v.3. The results show the STA has a positive connection to PE while PE also have a significant connection on TS and TRC. On the other hand, TS also reported a positive connection on TRC. The mediating role of PE was positively applied on the relationship between STA and TS, while no mediating role found on the relationship between STA and TRC. Moreover, no enough evidence was reported to support the moderation effect of TO on the relationship between STA and PE. As a result, the study offered academics, targeted population, and policymakers’ useful information and guidance on the impact of developing STA and PE on improving TS and TRC, particularly in the study context. The study was grounded theory. Total of 263 responded were considered, respondents were choosing random basis. 

PDF/A

References

Afzal, A., Tamoor, T., & Hassan, T. (2019). Comment on “Dual-Band Perfect Metamaterial Absorber Based on an Asymmetric H-Shaped Structure for Terahertz Waves [Materials](2018)[2193; https://doi. org/10.3390/ma11112193]”. Materials, 12(23), 3914.

Azis, N., Amin, M., Chan, S., & Aprilia, C. (2020). How smart tourism technologies affect tourist destination loyalty. Journal of Hospitality and Tourism Technology.

Bodet, G., & Bernache‐Assollant, I. (2011). Consumer loyalty in sport spectatorship services: The relationships with consumer satisfaction and team identification. Psychology & Marketing, 28(8), 781-802.

Buhalis, D. (2019). Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: a perspective article. Tourism Review.

Buhalis, D., & Amaranggana, A. (2015). Smart tourism destinations enhancing tourism experience through personalisation of services. In Information and communication technologies in tourism 2015 (pp. 377-389). Springer, Cham.

Cottet, P., Lichtlé, M. C., & Plichon, V. (2006). The role of value in services: a study in a retail environment. Journal of consumer marketing.

Delgado-Ballester, E., Munuera-Aleman, J. L., & Yague-Guillen, M. J. (2001). Development and validation of a brand trust scale. International journal of market research, 45(1), 35-54.

destinations and their behavior intentions”, Journal of Travel Research, p. 0047287519883034.

Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J., & Bryant, B. E. (1996). The American customer satisfaction index: nature, purpose, and findings. Journal of marketing, 60(4), 7-18.

Gounaris, S., Dimitriadis, S., & Stathakopoulos, V. (2010). An examination of the effects of service quality and satisfaction on customers' behavioral intentions in eshopping. Journal of services marketing.

Gray, G. T., & Wert Gray, S. (2012). Customer retention in sports organization marketing: examining the impact of team identification and satisfaction with team performance. International Journal of Consumer Studies, 36(3), 275-281.

Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015). Smart tourism: foundations and developments. Electronic markets, 25(3), 179-188.

Gustafsson, A., Johnson, M. D., & Roos, I. (2005). The effects of customer satisfaction, relationship commitment dimensions, and triggers on customer retention. Journal of marketing, 69(4), 210-218.

Hair Jr, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123.

Hair, J.F.; Ringle, C.M.; Sarstedt, M. PLS-SEM: Indeed a Silver Bullet. J. Mark. Theory Pract. 2011, 19, 139–152. [CrossRef]

Hallowell, R. (1996). The relationships of customer satisfaction, customer loyalty, and profitability: an empirical study. International journal of service industry management.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115-135.

Heskett, J. L., Jones, T. O., Loveman, G. W., Sasser, W. E., & Schlesinger, L. A. (1994). Putting the service-profit chain to work. Harvard business review, 72(2), 164-174.

Holbrook, T. (1996). Do campaigns matter? (Vol. 1). Sage publications.

Jeong, M. and Shin, H.H. (2019), “Tourists’ experiences with smart tourism technology at smart

Johnson, A. G., & Samakovlis, I. (2019). A bibliometric analysis of knowledge development in smart tourism research. Journal of Hospitality and Tourism Technology.

Kim, J.-H. (2018), “The impact of memorable tourism experiences on loyalty behaviors: the mediating effects of destination image and satisfaction”, Journal of Travel Research, Vol. 57 No. 7, pp. 856-870.

Lazarus, R. S. (1991). Cognition and motivation in emotion. American psychologist, 46(4), 352.

Lee, H., Lee, J., Chung, N. and Koo, C. (2018), “Tourists’ happiness: are there smart tourism technology effects?”, Asia Pacific Journal of Tourism Research, Vol. 23 No. 5, pp. 486-501.

Miguel-Dávila, J. Á., Cabeza-García, L., Valdunciel, L., & Flórez, M. (2010). Operations in banking: The service quality and effects on satisfaction and loyalty. The Service Industries Journal, 30(13), 2163-2182.

Morales, L., Anduiza, E., Rodríguez, E., & San Martín, J. (2008). Capital social, pautas identitarias y actitudes hacia “los otros”: la incorporación cívica de la población de origen inmigrante en Barcelona y Madrid”. Panorama social, 8(2), 119-142.

Neirotti, P., De Marco, A., Cagliano, A. C., Mangano, G., & Scorrano, F. (2014). Current trends in Smart City initiatives: Some stylised facts. Cities, 38, 25-36.

Oliver, R. L. (1999). Whence consumer loyalty? Journal of marketing, 63(4_suppl1), 33-44.

Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial least squares structural equation modeling (PLS-SEM) using smartPLS 3.0.

Russell-Bennett, R., McColl-Kennedy, J. R., & Coote, L. V. (2007). Involvement, satisfaction, and brand loyalty in a small business services setting. Journal of Business Research, 60(12), 1253-1260.

Saqib, M., Baluch, N. H., & Mohamed Udin, Z. (2017). Moderating role of technology orientation on the relationship between knowledge management and SMEs’ performance in Oman: a conceptual study. International Journal of Economic Perspectives, 11(1), 433-441.

Schaffers, H., Komninos, N., Pallot, M., Trousse, B., Nilsson, M., & Oliveira, A. (2011, May). Smart cities and the future internet: Towards cooperation frameworks for open innovation. In The future internet assembly (pp. 431-446). Springer, Berlin, Heidelberg.

Shanka, T., & Taylor, R. (2005). Assessment of university campus café service: The students' perceptions. Asia Pacific Journal of Tourism Research, 10(3), 329-340.

Srivastava, K., & Sharma, N. K. (2013). Service quality, corporate brand image, and switching behavior: The mediating role of customer satisfaction and repurchase intention. Services Marketing Quarterly, 34(4), 274-291.

Szymanski, D. M., & Henard, D. H. (2001). Customer satisfaction: A meta-analysis of the empirical evidence. Journal of the academy of marketing science, 29(1), 16-35.

Yoo, C.W., Goo, J., Huang, C.D., Nam, K. and Woo, M. (2017), “Improving travel decision support satisfaction with smart tourism technologies: a framework of tourist elaboration likelihood and self-efficacy”, Technological Forecasting and Social Change, Vol. 123, pp. 330-341.

Zhu, X., Kiritchenko, S., & Mohammad, S. (2014, August). NRC-Canada-2014: Recent improvements in the sentiment analysis of tweets. In Proceedings of the 8th international workshop on semantic evaluation (SemEval 2014) (pp. 443-447).

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright (c) 2022 Lex Humana (ISSN 2175-0947)

Downloads

Download data is not yet available.