Abstract
The aim of the present study is to present a new research model which includes both extrinsic and intrinsic determinants that influence Pokémon-Go robot users’ behavioral intention to patronize hospitality firms that draw visitors with Pokémons. Pokémon-Go Robot uses Augmented Reality technology in this study. Survey data collected from 261 usable questionnaires were tested against the research model using the structural equation modeling approach. The results present that all the proposed variables were found to be critical factors significantly influencing Pokémon-Go robot users’ patronizing intention. The application area of proposed theoretical model is new; very sparse research has been undertaken on exploring Pokémon-Go robot users’ intentions toward visiting hospitality firms attracting guests by virtual monsters. The present study mainly contributes to an understanding of the factors that actually influence Pokémon-Go robot users’ intention to patronize hospitality firms using virtual monsters to boost their sales.
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Agag, G. M., Khashan, M. A., & ElGayaar, M. H. (2019). Understanding online gamers' intentions to play games online and effects on their loyalty: An integration of IDT, TAM and TPB. Journal of Customer Behaviour., 18(2), 101–130.
Feldman, B. (2018). Agency and governance: Pokémon-go and contested fun in public space. Geoforum, 96, 289–297.
Blanco-Pons, S., Carrión-Ruiz, B., Duong, M., Chartrand, J., Fai, S., & Lerma, J. L. (2019). Augmented reality Markerless multi-image outdoor tracking system for the historical buildings on Parliament Hill. Sustainability., 11(16), 4268.
Boyle, E. A., Connoly, T. M., Hainey, T., & Boyle, J. M. (2012). Review: Engagement in digital entertainment games: A systematic review. Computers in Human Behavior, 28, 71–780.
Byun, J., & Loh, C. S. (2015). Audial engagement: Effects of game sound on learner engagement in digital game-based learning environments. Computers in Human Behavior, 46, 129–138.
Carmigniani, J., Furht, B., Anisetti, M., Ceravolo, P., Damiani, E., & Ivkovic, M. (2011). Augmented reality technologies, systems and applications. Multimedia Tools and Applications, 51(1), 341–377.
Chen, C. H., Ho, C., & Lin, J. (2015). The development of an augmented reality game-based learning environment. Procedia – Social and Behavioral Sciences, 174, 216–220.
Chen, Y. C., Chi, H. L., Hung, W. H., & Kang, S. C. (2011). Use of tangible and augmented reality models in engineering graphics courses. Journal of Professional Issues in Engineering Education and Practice, 137(4), 267–276.
Cheng, M.-T., She, H.-C., & Annetta, L. A. (2015). Game immersion experience: its hierarchical structure and impact on game-based science learning. Journal of Computer Assisted Learning, 31, 232–253.
Chi, H. L., Kang, S. C., & Wang, X. (2013). Research trends and opportunities of augmented reality applications in architecture, engineering, and construction. Automation in Construction, 33, 116–122.
Chiang, T. H. C., Yang, S. J. H., & Hwang, G. (2014). Students' online interactive patterns in augmented reality-based inquiry activities. Computers & Education, 78, 97–108.
Constant, D., Kiesler, S., & Sproull, L. (1994). What’s mine is ours, or is it? A study of attitudes about information sharing. Information Systems Research, 5(4), 400–421.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982–1003.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22, 1111–1132.
Dede, C. (2009). Immersive interfaces for engagement and learning. Science, 323(5910), 66–69.
Dhebar, A. (2016). Bringing new high-technology products to market: Six perils awaiting marketers. Business Horizons, 59, 713–722.
Dunleavy, M., Dece, C., & Mitchell, R. (2009). Affordances and limitations of immersive participatory augmented reality simulations for teaching and learning. Journal of Science Education and Technology, 18(1), 7–22.
Eyefortravel. (2016). 4 ways that travel and hospitality are cashing on Pokémon-Go, Reuters Events
Fountaine, C. J., Springer, E. J., & Sward, J. R. (2018). A descriptive study of objectively measured Pokémon GO playtime in college students. International Journal of Exercise Science, 11(7), 526–532.
Furusho, J., Suzuki, M., Tazaki, I., Satoh, H., Yamaguchi, K., Iikura, Y., & Hara, T. (2002). A comparison survey of seizures and other symptoms of Pokémon phenomenon. Pediatric Neurology, 27(5), 350–355.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433.
Hsu, C., & Lin, J. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45, 65–74.
Iftene, A., & Trandabăț, D. (2018). Enhancing the attractiveness of learning through augmented reality. Procedia Computer Science, 126, 66–175.
Jacob, J., Da, S. H., Coelho, A., & Rodrigues, R. (2012). Towards location-based augmented reality games. Procedia Computer Science, 15, 318–319.
Jennett, C., Cox, A. L., Cairns, P., Dhoparee, S., Epps, A., Tijs, T., & Walton, A. (2008). Measuring and defining the experience of immersion in games. International Journal of Human Computer Studies, 66, 641–661.
Hair Jr., J. F., Tomas, G., Hult, M., Ringle, C. M., & Sarstedt, M. (2014). Partial least squares structural equation modeling (PLS-SEM). In A primer on partial least squares structural equation modeling (PLS-SEM). Sage.
Jung, T., Chung, N., & Leue, M. C. (2015). The determinants of recommendations to use augmented reality technologies: The case of a Korean theme park. Tourism Management, 49, 75–86.
Kim, B. (2011). Understanding antecedents of continuance intention in social-networking services. Cyberpsychology, Behavior and Social Networking, 14(4), 199–205.
Kurniawan, M. H., & Suharjito Diana Witjaksono, G. (2018). Human anatomy learning systems using augmented reality on mobile application. Procedia Computer Science, 135, 80–88.
Lee, M., & Tsai, T. (2010). What drives people to continue to play online games? An extension of technology model and theory of planned behavior. International Journal of Human-Computer Interaction, 26(6), 601–620.
Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2005). Acceptance of internet-based learning medium: The role of extrinsic and intrinsic motivation. Information & Management, 42, 1095–1104.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 91–204.
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458–468.
Liu, Y., Holden, D., & Zheng, D. (2016). Analyzing students’ language learning experience in an augmented reality mobile game: An exploration of an emergent learning environment. Procedia - Social and Behavioral Sciences, 228, 369–374.
Malaika, B., Laurens De, G., Kim, W., & Bram, V. (2021). From stopping to shopping: An observational study comparing a humanoid service robot with a tablet service kiosk to attract and convert shoppers. Journal of Business Research, 134, 263–274.
Mathew C., Jonas H., Tim H., Debbie Isobel K., Dominik M., Ko de R. (2020) Augmented reality marketing: A technology-enabled approach to situated customer experience, Australasian Marketing Journal (AMJ), 28(4):374–384.
Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a world-wide-web context. Information & Management, 38(4), 217–230.
Michailidis, L., Balaguer-Ballester, E., & He, X. (2018). Flow and immersion in video games: The aftermath of a conceptual challenge. Frontiers in Psychology, 9, 1682–1690.
Nadine, D., & Viyella, B. L. (2019). For better or for worse: Shaping the hospitality industry through robotics and artificial intelligence. Research in Hospitality Management, 9(2), 117–120.
Ryan, R. (2017). The motivational pull of video game feedback, rules, and social interaction: Another self-determination theory approach. Computers in Human Behavior, 73, 446–450.
Rau, P. P., Zheng, J., Guo, Z., & Li, J. (2018). Speed reading on virtual reality and augmented reality. Computers & Education, 125, 240–245.
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25, 54–67.
Ryan, R. M., Rigby, C. S., & Przybylski, A. (2006). The motivational pull of video games: A self-determination theory approach. Motivation and Emotion, 30(4), 344–360.
Scholz, J., & Smith, A. N. (2016). Augmented reality: Designing immersive experiences that maximize consumer engagement. Business Horizons, 59, 149–161.
Squire, K., & Jan, M. (2007). Mad city mystery: Developing scientific argumentation skills with a place-based augmented reality game on handheld computers. Journal of Science Education and Technology, 16(1), 5–29.
Štorková, J., & Kysela, P. (2015). Using augmented reality as a medium for teaching history and tourism. Procedia – Social and Behavioral Sciences, 174, 926–931.
Tateno, M., Skokauskas, N., Kato, T. A., Teo, A. R., & Guerrero, A. P. S. (2016). New game software (Pokémon-go robot) may help youth with severe social withdrawal, hikikomori. Psychiatry Research, 246(30), 848–849.
Turel, O., & Serenko, A. (2012). The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, 21, 512–528.
Van Krevelen, D. W. F., & Poelman, R. (2010). A survey of augmented reality technologies, applications and limitations. International Journal of Virtual Reality, 9, 1–20.
Vandith Pamuru, Warut Khern-am-nuai, Karthik Kannan (2021) The impact of an augmented-reality game on local businesses: A study of Pokémon go on restaurants. Information Systems Research 0 (0):1–17.
Vandith, P., Warut, K., & Karthik, K. (2021). The impact of an augmented-reality game on local businesses: A study of Pokémon go on restaurants. Information Systems Research, 0(0), 1–17.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Venkatesh, V., Speier, C., & Morris, M. G. (2002). User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences, 33(2), 297–316.
Obeidy, W. K., Arshad, H., & Huang, J. Y. (2017). An acceptance model for smart glasses based tourism augmented reality. AIP Conference Proceedings, 1891(1), 0200801–0200806.
Preet, S., Aulakh Esra, F., & Gencturk. (2000). International principal-agent relationships. Industrial Marketing Management, 29(6), 521–538. https://doi.org/10.1016/S0019-8501(00)00126-7.
Wang, H. Y., Wang, J. H., Wang, H. W., & Chen, C. C. (2019). Factors Influencing Intention of Facebook Fans of Companies to Convert into Actual Buyers. Journal of Database Management (JDM), 30(4), 1–23.
Wasko, M. M., & Faraj, S. (2000). It is what one does: Why people participate and help others in electronic communities of practice. Journal of Strategic Information System, 9, 155–173.
Wei, L., & Arika, L. (2017). A pilot study of Pokémon go and Players' physical activity. Games for Health Journal., 6(6), 343–350.
Wiederhold, M. D., Crisci, M., Patel, V., Nonaka, M., & Wiederhold, B. K. (2019). Physiological monitoring during augmented reality exercise confirms advantages to health and well-being. Cyberpsychology, Behavior and Social Networking, 22(2), 122–126.
Williams, R. B. (2021). 10 Pokémon GO: Serious leisure and game-playing tourists. Gamification for Tourism, pp., 184–209.
Yim, M. Y., & Park, S. (2019). I am not satisfied with my body, so I like augmented reality (AR): Consumer responses to AR-based product presentations. Journal of Business Research, 100, 581–589.
Acknowledgments
This study was supported by grants from the course project for thinking about politics approved by the Teaching Affairs Office of Yulin Normal University in 2020. The name of the course project is the Internet of Things control technology. The course project number is No. 2020KCSZ21. The manager of the course project is Jian-Hong Wang. The source of funding for the course project is the construction funding of the course. This study also was supported by the scientific research funds of Yulin Normal University. The authors acknowledge the partial support for this research by the Shandong Provincial Natural Science Foundation No. ZR2020MG015.
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Wang, HY., Wang, JH., Zhang, J. et al. The Collaborative Interaction with Pokémon-Go Robot uses Augmented Reality technology for Increasing the Intentions of Patronizing Hospitality. Inf Syst Front 26, 107–119 (2024). https://doi.org/10.1007/s10796-021-10200-1
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DOI: https://doi.org/10.1007/s10796-021-10200-1