IDEAS home Printed from https://ideas.repec.org/a/gam/jtourh/v3y2022i1p9-136d737950.html
   My bibliography  Save this article

Uses and Gratifications Motivations and Their Effects on Attitude and e-Tourist Satisfaction: A Multilevel Approach

Author

Listed:
  • Jang-Won Moon

    (School of Hospitality and Tourism Management, University of South Florida, Sarasota, FL 34243, USA)

  • Yuting An

    (Department of Tourism, Hospitality and Event Management, University of Florida, Gainesville, FL 32611, USA)

Abstract

This study employed the Uses and Gratifications Theory to explore the motivations for utilizing a smartphone during trips and satisfactions with travel experience. This study adopted multilevel SEM to explore how U&G motivations affect e-tourist satisfaction when attitude toward smartphone use by tourists serves as a mediator. To this end, data collected from tourists travelling in the US were analyzed using a multilevel approach. The findings are: (1) U&G motivations (social interaction, entertainment, information, and convenience) are determined, (2) valid and reliable scales for all constructs are developed, (3) U&G motivations have a significant effect on tourists’ attitude toward smartphone use, which, in turn, significantly affects e-tourist satisfaction (hedonic, utilitarian, and overall) at the individual level. The results from this study provide practical and theoretical implications for e-tourism communication and tourism marketing.

Suggested Citation

  • Jang-Won Moon & Yuting An, 2022. "Uses and Gratifications Motivations and Their Effects on Attitude and e-Tourist Satisfaction: A Multilevel Approach," Tourism and Hospitality, MDPI, vol. 3(1), pages 1-21, January.
    • Handle: RePEc:gam:jtourh:v:3:y:2022:i:1:p:9-136:d:737950
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2673-5768/3/1/9/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2673-5768/3/1/9/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eighmey, John & McCord, Lola, 1998. "Adding Value in the Information Age: Uses and Gratifications of Sites on the World Wide Web," Journal of Business Research, Elsevier, vol. 41(3), pages 187-194, March.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Hausman, Angela V. & Siekpe, Jeffrey Sam, 2009. "The effect of web interface features on consumer online purchase intentions," Journal of Business Research, Elsevier, vol. 62(1), pages 5-13, January.
    4. Cherniece J. Plume & Emma L. Slade, 2018. "Sharing of Sponsored Advertisements on Social Media: A Uses and Gratifications Perspective," Information Systems Frontiers, Springer, vol. 20(3), pages 471-483, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lütjens, Henk & Eisenbeiss, Maik & Fiedler, Maximilian & Bijmolt, Tammo, 2022. "Determinants of consumers’ attitudes towards digital advertising – A meta-analytic comparison across time and touchpoints," Journal of Business Research, Elsevier, vol. 153(C), pages 445-466.
    2. Ivan De Battista & Franco Curmi & Emanuel Said, 2021. "Influencing Factors Affecting Young People’s Attitude Towards Online Advertising: A Systematic Literature Review," International Review of Management and Marketing, Econjournals, vol. 11(3), pages 58-72.
    3. Tibert Verhagen & Daniel Bloemers, 2018. "Exploring the cognitive and affective bases of online purchase intentions: a hierarchical test across product types," Electronic Commerce Research, Springer, vol. 18(3), pages 537-561, September.
    4. Wu, Ing-Long & Chen, Kuei-Wan & Chiu, Mai-Lun, 2016. "Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users," International Journal of Information Management, Elsevier, vol. 36(3), pages 284-296.
    5. Hung-Pin Shih & Pei-Chen Sung, 2021. "Addressing the Review-Based Learning and Private Information Approaches to Foster Platform Continuance," Information Systems Frontiers, Springer, vol. 23(3), pages 649-661, June.
    6. Eisenbeiss, Maik & Blechschmidt, Boris & Backhaus, Klaus & Freund, Philipp Alexander, 2012. "“The (Real) World Is Not Enough:” Motivational Drivers and User Behavior in Virtual Worlds," Journal of Interactive Marketing, Elsevier, vol. 26(1), pages 4-20.
    7. Domina, Tanya & Lee, Seung-Eun & MacGillivray, Maureen, 2012. "Understanding factors affecting consumer intention to shop in a virtual world," Journal of Retailing and Consumer Services, Elsevier, vol. 19(6), pages 613-620.
    8. Jong-Hyeon Kim & Jin-Woo Park, 2019. "The Effect of Airport Self-Service Characteristics on Passengers’ Perceived Value, Satisfaction, and Behavioral Intention: Based on the SOR Model," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    9. Ahlam Al-Muwil & Vishanth Weerakkody & Ramzi El-haddadeh & Yogesh Dwivedi, 2019. "Balancing Digital-By-Default with Inclusion: A Study of the Factors Influencing E-Inclusion in the UK," Information Systems Frontiers, Springer, vol. 21(3), pages 635-659, June.
    10. Jumaan, Ibrahim A. & Hashim, Noor Hazarina & Al-Ghazali, Basheer M., 2020. "The role of cognitive absorption in predicting mobile internet users’ continuance intention: An extension of the expectation-confirmation model," Technology in Society, Elsevier, vol. 63(C).
    11. Abeeha Batool & Schehar Bano & Dr. Muhamamd Aslam Khan & M. Naveed Akhtar & Almana Naeem & Bariha Batool, 2011. "Technology as a Black-box in E-business and its impact on Customer Satisfaction: Major Corporate Sector of Islamabad Areas, Pakistan," Far East Journal of Marketing and Management, Far East Research Centre, vol. 1(4), pages 28-53, December.
    12. Asrar Ahmed Sabir & Iftikhar Ahmad & Hassan Ahmad & Muhammad Rafiq & Muhammad Asghar Khan & Neelum Noreen, 2023. "Consumer Acceptance and Adoption of AI Robo-Advisors in Fintech Industry," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    13. Taylor, David G. & Strutton, David, 2010. "Has e-marketing come of age? Modeling historical influences on post-adoption era Internet consumer behaviors," Journal of Business Research, Elsevier, vol. 63(9-10), pages 950-956, September.
    14. Ilenia Confente & Wioleta Kucharska, 2021. "Company versus consumer performance: does brand community identification foster brand loyalty and the consumer’s personal brand?," Journal of Brand Management, Palgrave Macmillan, vol. 28(1), pages 8-31, January.
    15. Pantano, Eleonora & Servidio, Rocco, 2012. "Modeling innovative points of sales through virtual and immersive technologies," Journal of Retailing and Consumer Services, Elsevier, vol. 19(3), pages 279-286.
    16. Yang, Byunghwa & Kim, Youngchan & Yoo, Changjo, 2013. "The integrated mobile advertising model: The effects of technology- and emotion-based evaluations," Journal of Business Research, Elsevier, vol. 66(9), pages 1345-1352.
    17. Zollo, Lamberto & Filieri, Raffaele & Rialti, Riccardo & Yoon, Sukki, 2020. "Unpacking the relationship between social media marketing and brand equity: The mediating role of consumers’ benefits and experience," Journal of Business Research, Elsevier, vol. 117(C), pages 256-267.
    18. Lara Stocchi & Naser Pourazad & Nina Michaelidou & Arry Tanusondjaja & Paul Harrigan, 2022. "Marketing research on Mobile apps: past, present and future," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 195-225, March.
    19. Ainsworth, Jeremy & Ballantine, Paul W., 2017. "Consumers’ cognitive response to website change," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 56-66.
    20. Prashant Verma & Shruti Jain, 2015. "Skills Augmenting Online Shopping Behavior: A Study of Need for Cognition Positive Segment," Business Perspectives and Research, , vol. 3(2), pages 126-145, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jtourh:v:3:y:2022:i:1:p:9-136:d:737950. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.