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Improving travel decision support satisfaction with smart tourism technologies: A framework of tourist elaboration likelihood and self-efficacy

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  • Yoo, Chul Woo
  • Goo, Jahyun
  • Huang, C. Derrick
  • Nam, Kichan
  • Woo, Mina

Abstract

Information technology-supported tourism services and platforms have made it easier for individual travelers to plan and manage their trips. But with smart tourism, a number of human-computer interaction issues, such as the decision support in the context of tourists' information processing, have surfaced. This study investigates the impact of the important smart tourism technology (STT) characteristics on travel decision support satisfaction and the moderating effects of self-efficacy on the main relationships. We adopted the elaboration likelihood model as an overarching theory to develop our hypotheses that revolve around both the central route and peripheral routes in the elaborated process, and tested the model with survey data collected from South Korea. The findings illustrate that STT characteristics of information quality, source credibility, interactivity, and accessibility have a positive influence on travel decision support satisfaction. Self-efficacy toward STT use was found to have a positive moderating impact on a hypothesized central route but negative moderating influence on three peripheral routes. Theoretical contributions and managerial implications of this study are discussed.

Suggested Citation

  • Yoo, Chul Woo & Goo, Jahyun & Huang, C. Derrick & Nam, Kichan & Woo, Mina, 2017. "Improving travel decision support satisfaction with smart tourism technologies: A framework of tourist elaboration likelihood and self-efficacy," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 330-341.
  • Handle: RePEc:eee:tefoso:v:123:y:2017:i:c:p:330-341
    DOI: 10.1016/j.techfore.2016.10.071
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    9. Jahyun Goo & C. Derrick Huang & Chul Woo Yoo & Chulmo Koo, 2022. "Smart Tourism Technologies’ Ambidexterity: Balancing Tourist’s Worries and Novelty Seeking for Travel Satisfaction," Information Systems Frontiers, Springer, vol. 24(6), pages 2139-2158, December.
    10. Chia-Ying Li & Yu-Hui Fang & Badri Munir Sukoco, 2021. "Value proposition as a catalyst for innovative service experience: the case of smart-tourism destinations," Service Business, Springer;Pan-Pacific Business Association, vol. 15(2), pages 281-308, June.
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    14. Junjie Gao & Younghwan Pan, 2022. "Evaluating Influencing Factors of Tourists’ Experiences with Smart Tour Guide System: A Mixed Method Research," Sustainability, MDPI, vol. 14(23), pages 1-19, December.
    15. 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.
    16. Hallikainen, Heli & Luongo, Milena & Dhir, Amandeep & Laukkanen, Tommi, 2022. "Consequences of personalized product recommendations and price promotions in online grocery shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
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    21. Halder, Deepa & Pradhan, Debasis & Roy Chaudhuri, Himadri, 2021. "Forty-five years of celebrity credibility and endorsement literature: Review and learnings," Journal of Business Research, Elsevier, vol. 125(C), pages 397-415.
    22. Hsiao-Hsien Lin & I-Cheng Hsu & Tzu-Yun Lin & Le-Ming Tung & Ying Ling, 2022. "After the Epidemic, Is the Smart Traffic Management System a Key Factor in Creating a Green Leisure and Tourism Environment in the Move towards Sustainable Urban Development?," Sustainability, MDPI, vol. 14(7), pages 1-22, March.

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