[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3589883.3589906acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicmltConference Proceedingsconference-collections
research-article

Chatbot recommender systems in tourism: A systematic review and a benefit-cost analysis

Published: 27 June 2023 Publication History

Abstract

This research is focused on the utilization of artificially intelligent (AI), customer service chatbots in travel, tourism and hospitality. Rigorous criteria were used to search, screen, extract and synthesize articles on conversational, automated systems. The results shed light on the most-cited articles on the use of “chatbots” and “tourism” or “hospitality”. The researchers scrutinize the extracted articles, synthesize the findings and outline the pros and cons of using these interactive technologies. This contribution implies that there is scope for tourism businesses to continue improving their online customer services in terms of their efficiency and responsiveness to consumers and prospects. For the time being, AI chatbots are still not in a position to replace human agents in all service interactions as they cannot resolve complex queries and complaints. However, works are in progress to improve their verbal, vocal and anthropomorphic capabilities to deliver a better consumer experience.

References

[1]
J. S. Chen, L.Tran-Thien-Y, and D. Florence, “Usability and responsiveness of artificial intelligence chatbot on online customer experience in e-retailing”, Int. J. of Ret. and Distrib. Mgt. vol. 49, no. 11, pp. 1512-1531, 2021.
[2]
S.M. Lee, and D.H. Lee, “Untact”: A new customer service strategy in the digital age”, Serv. Bus. vol. 14, no. 1, pp. 1-22, 2020
[3]
M.A.Camilleri, and C. Troise. "Live support by chatbots with artificial intelligence: A future research agenda”, Serv. Bus. 1-20, 2022 https://link.springer.com/article/10.1007/s11628-022-00513-9.
[4]
X. Luo, S. Tong, Z. Fang, and Z. Qu, “Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases”, Mktg. Sci. vol. 38, no. 6, pp. 937-947, 2019.
[5]
W. D. Hoyer, M. Kroschke, B. Schmitt, K. Kraume, and V. Shankar, “Transforming the customer experience through new technologies”, J. of Int. Mktg. vol. 51, pp. 57-71, 2020.
[6]
R. M. G, Schuetzler, M. Grimes, and J. Scott Giboney, “The impact of chatbot conversational skill on engagement and perceived humanness”, J. of Mgt. Inf. Sys. vol. 37, no. 3, pp. 875-900, 2020.
[7]
B. R, Ranoliya, N. Raghuwanshi, and S. Singh, “Chatbot for university related FAQs”, In 2017 Int. Conf. on Adv. in Comp, Comm. & Inform. (ICACCI), 1525-1530. IEEE, New York, USA, 2017.
[8]
D. Buhalis and E. Siaw Yen Cheng, “Exploring the use of chatbots in hotels: technology providers’ perspective”, In Inf. & Comm. Tech. in Tour. pp. 231-242, Springer, Cham, Switzerland, 2020.
[9]
A. Przegalinska, L. Ciechanowski, A. Stroz, P. Gloor, and G. Mazurek, “In bot we trust: A new methodology of chatbot performance measures”, Bus. Horiz. vol. 62, no. 6, pp. 785-797, 2019.
[10]
M.A., Camilleri and M. Kozak, “Interactive engagement through travel and tourism social media groups: A social facilitation theory perspective”, Tech in Soc, 71, 102098, 2022.
[11]
P. Capriotti, I. Zeler and M.A. Camilleri, “Corporate communication through social networks: The identification of the key dimensions for dialogic communication”, Strategic corporate communication in the digital age. Emerald, Bingley, UK, 2021.
[12]
M. Adam, M. Wessel, and A. Benlian, “AI-based chatbots in customer service and their effects on user compliance”, Elect. Mkts. vol. 31, no. 2, pp. 427-445, 2021.
[13]
C. Crolic, F. Thomaz, R. Hadi, and A.T. Stephen, “Blame the Bot: Anthropomorphism and Anger in Customer–Chatbot Interactions”, J. of Mktg. 2021, https://doi.org/10.1177/00222429211045687
[14]
D. Belanche, L. V. Casaló, C. Flavián, and J. Schepers, “Robots or frontline employees? Exploring customers’ attributions of responsibility and stability after service failure or success”, J. of Serv. Mgt. vol. 31, no. 2, pp. 267-289, 2020.
[15]
M.A. Camilleri, “The use of data-driven technologies for customer-centric marketing”, Int. J. of Big Data Mgt., 1(1), 50-63, 2020.
[16]
R. Pillai and B. Sivathanu, “Adoption of AI-based chatbots for hospitality and tourism”, Int. J. of Contemp. Hosp. Mgt. vol. 32, no. 10, pp. 3199-3226, 2020.
[17]
S. Melián-González, D. Gutiérrez-Taño, and J. Bulchand-Gidumal, “Predicting the intentions to use chatbots for travel and tourism”, Curr. Iss. in Tour. vol. 24, no. 2, pp. 192-210, 2021.
[18]
N. Samala, B. Shashanka Katkam, R. Shekhar Bellamkonda, and R. Villamarin Rodriguez, “Impact of AI and robotics in the tourism sector: a critical insight”, J. of Tour. Fut. vol. 8, no. 1, pp. 73-87, 2022.
[19]
G. McLean, K. Osei-Frimpong, A.Wilson, and V. Pitardi, “How live chat assistants drive travel consumers’ attitudes, trust and purchase intentions: The role of human touch”, Int. J.of Contemp. Hosp. Mgt. vol. 325, pp. 1795-1812, 2020.
[20]
L. Li, K. Young Lee, E. Emokpae, and S.B. Yang, “What makes you continuously use chatbot services? Evidence from chinese online travel agencies”, Elect. Mkts. vol. 31, no. 3, pp. 575-599, 2021.
[21]
M. Casillo, F. Clarizia, G. D'Aniello, M. De Santo, M. Lombardi, and D. Santaniello, “CHAT-Bot: A cultural heritage aware teller-bot for supporting touristic experiences”, Pattern Recogn. Lett. vol. 131, pp. 234-243, 2020.
[22]
G. Sperlí, “A cultural heritage framework using a Deep Learning based Chatbot for supporting tourist journey”, Exp. Sys. with App. vol. 183, 2021, 10.1016/j.eswa.2021.115277
[23]
J. N. Mohammadreza, N. N. Samany, M. Mohammadi, and A. Toomanian, “A hybrid ridesharing algorithm based on GIS and ant colony optimization through geosocial networks”, J. of Amb. Intell. & Humanized Comp. vol. 12, no. 2, pp. 2387-2407, 2021.
[24]
K. Taekyung, H. Jo, Y. Yhee, and C. Koo, “Robots, artificial intelligence, and service automation (RAISA) in hospitality: sentiment analysis of YouTube streaming data”, Elect. Mkts, vol. 32, no. 1, pp. 259- 275, 2022.
[25]
I. Meidute-Kavaliauskiene, Ş. Çiğdem, B. Yıldız, and S. Davidavicius, “The effect of perceptions on service robot usage intention: A survey study in the service sector”, Sust. (Switz.) vol. 13, no. 17, art. 9655, 2021.
[26]
L. Lalicic and C. Weismayer, “Consumers’ reasons and perceived value co-creation of using artificial intelligence-enabled travel service agents”, J. of Bus. Res. vol. 129, pp. 891-901, 2021.
[27]
H. Mydyti and A. Kadriu, “The impact of chatbots in driving digital transformation”, Int. J. of E-Serv. & Mob. App. vol. 13, no. 4, pp. 88-104, 2021.
[28]
M. A. Orden-Mejía and A. Huertas, “Tourist interaction and satisfaction with the chatbot evokes pre-visit destination image formation? A case study”, Anatolia, 2022, 10.1080/13032917.2022.2072918
[29]
S. Sands, C. Ferraro, C. Campbell, and H. Y. Tsao. 2021. “Managing the human–chatbot divide: how service scripts influence service experience”, J. of Serv. Mgt. vol. 32, no. 2, pp. 246-264, 2021.
[30]
M.A. Camilleri, C. Troise and M. Kozak, “Functionality and usability features of ubiquitous mobile technologies: The acceptance of interactive travel apps”, J. of Hosp. and Tour Tech, https://doi.org/10.1108/JHTT-12-2021-0345, 2023.
[31]
S. A. Acharya, A. R. Khettry, and D. Patil, “AtheNA an avid traveller using LSTM based RNN architecture”, J. of Eng. Sci. & Tech. vol. 15, no. 2, pp. 1413-1428, 2020.
[32]
M. A. Camilleri. “E-commerce websites, consumer order fulfillment and after-sales service satisfaction: The customer is always right, even after the shopping cart check-out”, J. of Strat. and Mgt. vol. 15, no. 3, pp. 377-396, 2021.
[33]
M.A. Camilleri and M. Kozak. “Utilitarian motivations to engage with travel websites: An interactive technology adoption model”, J. of Serv. Marketing, https://doi.org/10.1108/JSM-12-2021-0477. 2022.
[34]
K. Blöcher and R. Alt, “AI and robotics in the European restaurant sector: Assessing potentials for process innovation in a high-contact service industry”, Elect. Mkts. vol. 31, no. 3, pp. 529-551, 2021.
[35]
O. Dyshkantiuk, S. Salamatina, L. Polishchuk, I. Komarnytskyi, V. Tserklevych, and T. Nedobiichuk, “Modern hotel business management tools”, Int. J. of Adv. Res. in Eng. & Tech. pp. 11, no. 6, pp. 226-238, 2020.
[36]
M.A. Camilleri and P. Isaias, The corporate communication executives’ interactive engagement through digital media. In Strategic corporate communication in the digital age. Emerald Publishing Limited, UK, 2021.
[37]
M. Hajarian, M.A. Camilleri, P. Díaz and I. Aedo, “A taxonomy of online marketing methods”, In Strategic corporate communication in the digital age (pp. 235-250). Emerald Publishing Limited, UK, 2021.
[38]
J. Jiménez-Barreto, N. Rubio, and S. Molinillo, “Find a flight for me, Oscar! Motivational customer experiences with chatbots”, Int. J. of Cont. Hosp. Mgt. vol. 33, no. 11, pp. 3860-3882, 2021.
[39]
O. Prokopenko, Y. Larina, O. Chetveryk, S. Kravtsov, N. Rozhko, and I. Lorvi, “Digital-toolkit for promoting tourist destinations”, Int. J.of Innov. Tech. & Exploring Eng. vol. 8, no. 12, pp. 4982-4987, 2019.
[40]
D. Calvaresi, A. Ibrahim, J. P. Calbimonte, E. Fragniere, R. Schegg, and M. I. Schumacher, “Leveraging inter-tourists interactions via chatbots to bridge academia, tourism industries and future societies”, J. of Tour. Fut. 2021, 10.1108/JTF-01-2021-0009
[41]
M.A. Camilleri, “Strategic dialogic communication through digital media during COVID-19 crisis”, In Strategic corporate communication in the digital age. Emerald Publishing Limited, UK, 2021.
[42]
A. Butler, M.A. Camilleri, A. Creed, A. and A. Zutshi, “The use of mobile learning technologies for corporate training and development: A contextual framework”, In Strategic corporate communication in the digital age. Emerald Publishing Limited, UK, 2021.
[43]
I.R. Marques, B. Casais and M.A. Camilleri, “The effect of macrocelebrity and microinfluencer endorsements on consumer–brand engagement in instagram”, In Strategic corporate communication in the digital age. Emerald Publishing Limited, UK, 2021.
[44]
A. Huang, Y. Chao, E. de la Mora Velasco, A. Bilgihan, and W. Wei, “When artificial intelligence meets the hospitality and tourism industry: an assessment framework to inform theory and management”, J.of Hosp. & Tour. Ins., 2021, 10.1108/JHTI-01-2021-0021.
[45]
F. Thomaz, C. Salge, E. Karahanna, and J. Hulland, “Learning from the Dark Web: leveraging conversational agents in the era of hyper-privacy to enhance marketing”, J. of the Acad. of Mktg. Sci. vol. 48, no. 1, 2020. https://doi.org/10.1007/s11747-019-00704-3
[46]
R. Alotaibi, A. Ali, H. Alharthi, and R. Almehamdi, “AI Chatbot for Tourism Recommendations A Case Study in the City of Jeddah, Saudi Arabia”, Int. J. of Interact. Mob. Tech. 14, 19, 18-30, 2020.
[47]
A. P. Chaves, J. Egbert, T. Hocking, E. Doerry, and M. A. Gerosa, “Chatbots Language Design: The Influence of Language Variation on User Experience with Tourist Assistant Chatbots”, ACM Trans. on Comp-Human Interact. vol. 29, no. 2, Art. 13, 1-18, 2022.
[48]
G. Saluja, S. N. Maheswari, T. S. P. Kumar, and M. Sivagami, “AI based intelligent travel chatbot for content oriented user queries”, Int. J. of App. Sci. & Eng. vol. 18, no. 2, pp. 1-8, 2021.

Cited By

View all
  • (2024)The Analysis of Tourism Attitudes using Natural Language Processing Techniques: A Case of Malaysian TouristsAsian Health, Science and Technology Reports10.69650/ahstr.2024.115232:3(57-78)Online publication date: 18-Sep-2024
  • (2024)Leveraging AI for 24/7 SupportImpact of AI and Tech-Driven Solutions in Hospitality and Tourism10.4018/979-8-3693-6755-1.ch016(302-328)Online publication date: 30-Jun-2024
  • (2024)A Perspective Study on the Role of AI on EI and Its Influence on EmployeesHuman Resource Strategies in the Era of Artificial Intelligence10.4018/979-8-3693-6412-3.ch004(79-108)Online publication date: 4-Oct-2024
  • Show More Cited By

Index Terms

  1. Chatbot recommender systems in tourism: A systematic review and a benefit-cost analysis
        Index terms have been assigned to the content through auto-classification.

        Recommendations

        Comments

        Please enable JavaScript to view thecomments powered by Disqus.

        Information & Contributors

        Information

        Published In

        cover image ACM Other conferences
        ICMLT '23: Proceedings of the 2023 8th International Conference on Machine Learning Technologies
        March 2023
        293 pages
        ISBN:9781450398329
        DOI:10.1145/3589883
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 27 June 2023

        Permissions

        Request permissions for this article.

        Check for updates

        Author Tags

        1. artificial intelligence
        2. customer services
        3. dialogue systems
        4. live support
        5. online services
        6. webchat

        Qualifiers

        • Research-article
        • Research
        • Refereed limited

        Conference

        ICMLT 2023

        Contributors

        Other Metrics

        Bibliometrics & Citations

        Bibliometrics

        Article Metrics

        • Downloads (Last 12 months)149
        • Downloads (Last 6 weeks)32
        Reflects downloads up to 03 Jan 2025

        Other Metrics

        Citations

        Cited By

        View all
        • (2024)The Analysis of Tourism Attitudes using Natural Language Processing Techniques: A Case of Malaysian TouristsAsian Health, Science and Technology Reports10.69650/ahstr.2024.115232:3(57-78)Online publication date: 18-Sep-2024
        • (2024)Leveraging AI for 24/7 SupportImpact of AI and Tech-Driven Solutions in Hospitality and Tourism10.4018/979-8-3693-6755-1.ch016(302-328)Online publication date: 30-Jun-2024
        • (2024)A Perspective Study on the Role of AI on EI and Its Influence on EmployeesHuman Resource Strategies in the Era of Artificial Intelligence10.4018/979-8-3693-6412-3.ch004(79-108)Online publication date: 4-Oct-2024
        • (2024)Enhancing Tourist Experiences: Integrating ChatGPT and 360 VR Videos in Tourism and Tourist PsychologyAdvances in Tourism, Technology and Systems10.1007/978-981-99-9758-9_3(25-35)Online publication date: 15-Mar-2024
        • (2024)Tourism Companion: Enhancing Travel Experiences with AI Chatbot and Soft ComputingSoft Computing in Industry 5.0 for Sustainability10.1007/978-3-031-69336-6_13(301-317)Online publication date: 16-Nov-2024
        • (2024)Artificial Intelligence in Smart TourismSmart Tourism–The Impact of Artificial Intelligence and Blockchain10.1007/978-3-031-50883-7_5(75-85)Online publication date: 2-Feb-2024
        • (2023)Factors affecting user trust and intention in adopting chatbots: the moderating role of technology anxiety in insurtechJournal of Financial Services Marketing10.1057/s41264-023-00230-y29:3(699-728)Online publication date: 25-Apr-2023

        View Options

        Login options

        View options

        PDF

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        HTML Format

        View this article in HTML Format.

        HTML Format

        Media

        Figures

        Other

        Tables

        Share

        Share

        Share this Publication link

        Share on social media