Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

An Exploratory Study of Customer Perceptions of Usage of Chatbots in the Hospitality Industry


Affiliations
1 Associate Professor and Area Chair - GM, Alliance University, Bengaluru, Karnataka, India
2 Assistant Professor, Department of General Management, School of Business, Alliance University, Bengaluru, Karnataka, India
     

   Subscribe/Renew Journal


This study examines the customer perceptions of the usage of chatbots in the hospitality industry. The focus of the study is on hotels, specifically chain hotels, so that the chatbots become integrated with CRM solutions, facilitating the hotels and the customers to gather information from a single source. In other sectors of the hospitality industry, such as restaurants, there is a lack of exposure of highly automated systems, leading to the failure of customers to grasp the idea of automated processes. One of the biggest challenges identified is that many players in the hospitality industry still do not understand artificial intelligence and how it can redefine the future of the industry. Younger customers were more open to use of technology and expected technology to be involved in at least one aspect of any service being provided, and generally preferred conversing with virtual assistants such as iPhone Siri and Google Assistant rather than agents, unless complex solutions were required; in the last instance, however, most customers expected service at hotels to be provided through personnel, lacking the knowledge of how technology can serve as a personal concierge.

Keywords

Artificial Intelligence, Chatbots, Hospitality Industry.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Ady, M., & Quadri-Felitti, D. (2016). Consumer research identifies how to present travel review content for more bookings. Trust You and New York University Joint Study.
  • Amir, A. (2016). The rise of chatbots: Why brands are embracing conversation. Marketing Tech News. Retrieved from http://www.marketingtechnews.net/news/2016/jun/07/rise-and-rise-chatbots-why-brands-are-embracing-conversation/fb
  • Crutzen, R., Peters, G.-J. Y., Dias Portugal, S., Fisser, E. M., & Grolleman, J. J. (2011). An artificially intelligent chat agent that answers adolescents’ questions related to sex, drugs, and alcohol: An exploratory study. Journal of Adolescent Health, 48(5), 514-519.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339.
  • Fernald, J. G. (2015). Productivity and potential output before, during, and after the Great Recession. Parker, J. A. and Woodford, M. (Eds.), NBER Macroeconomics Annual 2014. Chicago: University of Chicago Press, 1-51.
  • Fernald, J. G., & Jones, C. I. (2014). The future of US economic growth. American Economic Review, 104(5), 44-49.
  • Gaines-Ross, L. (2016). What do people - Not techies, not companies - Think about artificial intelligence?. Harvard Business Review (Digital Version), 2016/10.
  • Griol, D., CarbĂł, J., & Molina, J. M. (2013). An automatic dialog simulation technique to develop and evaluate interactive conversational agents. Applied Artificial Intelligence, 27(9), 759-780.
  • Lee, C.-H. (2004). From knowledge-ignorant to knowledge-rich modeling: A new speech research paradigm for next generation automatic speech recognition. In Proceedings of the International Conference on Spoken Language Processing (ICLSP), 109-111.
  • Mokyr, J., Vickers, C., & Ziebarth, N. L. (2015). The history of technological anxiety and the future of economic growth: Is this time different?. Journal of Economic Perspectives, 29(3), 31-50.
  • Mott, B., Lester, J., & Branting, K. (2004). Conversational agents. The Practical Handbook of Internet Computing.
  • Satu, M. S., & Parvez, M. H. (2015). Review of integrated applications with AIML based chatbot. First International Conference on Computer & Information Engineering, Department. of CSE, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh.
  • Shawar, B. A., & Atwell, E. (2002). A comparison between Alice and Elizabeth chatbot system. University of Leeds, School of Computing Research Report No. 2002/19.
  • Yang, Y.-P. (2004). An innovative distributed speech recognition platform for portable, personalised and humanised wireless devices. Computational Linguistics and Chinese Language Processing, 9(2), 77-94.
  • Van Manen, T. (2016, April 14). Bot or not: dit is waarom Facebook inzet op chatbots. Marketingfacts [Web log post]. Retrieved from http://www.marketingfacts.nl/berichten/chatbots-facebook-inzet-chatbots-messenger

Abstract Views: 385

PDF Views: 0




  • An Exploratory Study of Customer Perceptions of Usage of Chatbots in the Hospitality Industry

Abstract Views: 385  |  PDF Views: 0

Authors

Mihir Dash
Associate Professor and Area Chair - GM, Alliance University, Bengaluru, Karnataka, India
Suprabha Bakshi
Assistant Professor, Department of General Management, School of Business, Alliance University, Bengaluru, Karnataka, India

Abstract


This study examines the customer perceptions of the usage of chatbots in the hospitality industry. The focus of the study is on hotels, specifically chain hotels, so that the chatbots become integrated with CRM solutions, facilitating the hotels and the customers to gather information from a single source. In other sectors of the hospitality industry, such as restaurants, there is a lack of exposure of highly automated systems, leading to the failure of customers to grasp the idea of automated processes. One of the biggest challenges identified is that many players in the hospitality industry still do not understand artificial intelligence and how it can redefine the future of the industry. Younger customers were more open to use of technology and expected technology to be involved in at least one aspect of any service being provided, and generally preferred conversing with virtual assistants such as iPhone Siri and Google Assistant rather than agents, unless complex solutions were required; in the last instance, however, most customers expected service at hotels to be provided through personnel, lacking the knowledge of how technology can serve as a personal concierge.

Keywords


Artificial Intelligence, Chatbots, Hospitality Industry.

References