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Online reservation systems in e-Business: Analyzing decision making in e-Tourism

Author

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  • Halkiopoulos, Constantinos
  • Antonopoulou, Hera
  • Papadopoulos, Dimitrios
  • Giannoukou, Ioanna
  • Gkintoni, Evgenia

Abstract

Tourism is one of the fastest growing industries worldwide and in general, the Internet continues to gain importance in the tourism sector. The study focuses on exploration of knowledge of online booking systems and on the views of local students-users concerning the booking rate based on these online systems. Another perspective of this project is to investigate the decision-making process (emotion-focused) that they follow in order to choose a tourist destination via online booking systems. For the purposes of this study, three scales were administered E-WOM and Accommodation Scale, Emotion-Based Decision-Making Scale and Trait Emotional Intelligence Scale. Then, survey data were collected, preprocessed and analyzed based on Data Mining techniques evaluating the results. More specifically, classification and association algorithms were utilized to manage to describe hidden patterns. E-Tourism will continue to be oriented towards the consumers and the technology that surrounds them, providing dynamic communication in electronic business.

Suggested Citation

  • Halkiopoulos, Constantinos & Antonopoulou, Hera & Papadopoulos, Dimitrios & Giannoukou, Ioanna & Gkintoni, Evgenia, 2020. "Online reservation systems in e-Business: Analyzing decision making in e-Tourism," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 6(1), pages 9-16.
    • Handle: RePEc:zbw:espost:215620
    DOI: 10.5281/zenodo.3603312
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    References listed on IDEAS

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    Cited by:

    1. Manosso, Franciele Cristina & Domareski Ruiz, Thays Cristina, 2021. "Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7, pages 16-27.
    2. Séraphin, Hugues & Hamdan, Omar Abou, 2023. "The 'Dinner Date' concept: Reconciliating the dating and hospitality industries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(2), pages 73-77.
    3. Johnson, Catherine & McLaughlin, James, 2020. "Tourism branding and promotion: A critical approach," MPRA Paper 100706, University Library of Munich, Germany.
    4. Nechoud, Lamia & Ghidouche, Faouzi & Seraphin, Hugues, 2021. "The influence of eWOM credibility on visit intention: An integrative moderated mediation model," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(1), pages 54-63.
    5. Cristina Franciele & Thays Christina Domareski Ruiz, 2021. "Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review," Post-Print hal-03373984, HAL.
    6. Broeder, Peter & Gkogka, Anna, 2020. "The cultural impact of navigation design in global e-commerce," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 6(3), pages 46-53.

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    More about this item

    Keywords

    Online Booking Systems; e-Tourism; Hotel Selection Factors; Expert System;
    All these keywords.

    JEL classification:

    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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