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Assessing the Impact of Mobile Technology on Exhibition Attendees’ Unplanned Booth Visit Behaviour

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  • Namho Chung

    (College of Hotel & Tourism Management, Kyung Hee University, 26 Kyunghee-daro, Dongdaemun-gu, Seoul 02447, Korea)

  • Chulmo Koo

    (College of Hotel & Tourism Management, Kyung Hee University, 26 Kyunghee-daro, Dongdaemun-gu, Seoul 02447, Korea)

  • Kyungmin Lee

    (Department of Convention & Exhibition Management, Graduate School, Kyung Hee University, 26 Kyunghee-daro, Dongdaemun-gu, Seoul 02447, Korea)

Abstract

This study examines the effect of the booth Recommender system (BRS) embedded in a mobile device on the goals of exhibition attendees, based on two main theories that are unplanned behaviour and goal frame theories. Previous studies have overlooked the importance of the unplanned behavioural effectiveness of IT devices for understanding motivation and delivering unexpected outcomes at exhibitions. The BRS offers customized, personalized, and advanced information to attendees; experiences with the BRS lead to unplanned behaviour. In this paper, we distinguish several goal frames, including hedonic, gain, and normative goals, which contribute to the relationship between continued BRS use and unplanned booth visits. Continued BRS use directly influences revisit intentions to an exhibition and contributes to unplanned booth visits. We analysed data from 508 attendees at a franchise exhibition using structural equation modelling (SEM) method. Our research empirically determined that goal framing theory and unplanned behaviour via continued BRS use embedded in a mobile device are connected. Continued BRS use in an exhibition can contribute to attendees’ impulsive behaviour and can induce them to return to an exhibition. The results and implications are discussed.

Suggested Citation

  • Namho Chung & Chulmo Koo & Kyungmin Lee, 2017. "Assessing the Impact of Mobile Technology on Exhibition Attendees’ Unplanned Booth Visit Behaviour," Sustainability, MDPI, vol. 9(6), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:6:p:884-:d:99539
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    References listed on IDEAS

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    1. Clee, Mona A & Wicklund, Robert A, 1980. "Consumer Behavior and Psychological Reactance," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 6(4), pages 389-405, March.
    2. Kolm, Serge-Christophe, 1994. "Rational normative economics vs 'social welfare' and 'social choice'," European Economic Review, Elsevier, vol. 38(3-4), pages 721-730, April.
    3. Russell Abratt & Stephen Donald Goodey, 1990. "Unplanned buying and in‐store stimuli in supermarkets," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 11(2), pages 111-121, May.
    4. D. Veena Parboteeah & Joseph S. Valacich & John D. Wells, 2009. "The Influence of Website Characteristics on a Consumer's Urge to Buy Impulsively," Information Systems Research, INFORMS, vol. 20(1), pages 60-78, March.
    5. Chen, Gilad & Mathieu, John E., 2008. "Goal orientation dispositions and performance trajectories: The roles of supplementary and complementary situational inducements," Organizational Behavior and Human Decision Processes, Elsevier, vol. 106(1), pages 21-38, May.
    6. Rook, Dennis W & Fisher, Robert J, 1995. "Normative Influences on Impulsive Buying Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(3), pages 305-313, December.
    7. James C. Anderson & David W. Gerbing, 1992. "Assumptions and Comparative Strengths of the Two-Step Approach," Sociological Methods & Research, , vol. 20(3), pages 321-333, February.
    8. Se-Joon Hong & Kar Yan Tam, 2006. "Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services," Information Systems Research, INFORMS, vol. 17(2), pages 162-179, June.
    9. Huerta, Esperanza & Glandon, TerryAnn & Petrides, Yanira, 2012. "Framing, decision-aid systems, and culture: Exploring influences on fraud investigations," International Journal of Accounting Information Systems, Elsevier, vol. 13(4), pages 316-333.
    10. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    11. Krishnamurthy, Parthasarathy & Carter, Patrick & Blair, Edward, 2001. "Attribute Framing and Goal Framing Effects in Health Decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 85(2), pages 382-399, July.
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    Cited by:

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    4. Dongwook Kim & Sungbum Kim, 2017. "The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews," Sustainability, MDPI, vol. 9(11), pages 1-45, November.

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