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Customer Interactive Experience in Luxury Retailing: The Application of AI-Enabled Chatbots in the Interactive Marketing

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The Palgrave Handbook of Interactive Marketing

Abstract

The use of chatbots has grown rapidly in numerous fields in recent years. Industry and academia have both realised the importance of using the artificial intelligent-enabled chatbot technologies for enhancing customer engagement and providing excellent customer experience. However, there is little known about how customers engage with chatbots when used in the retail environment. Also, few studies examine how chatbots affect customer responses within luxury fashion industry settings. There has been little done in summarising the application of chatbots in interactive marketing and the impacts of the chatbots on customer engagement. The purpose of this chapter is to briefly introduce the definition of chatbots and the application of chatbots in the luxury retail regarding interactive marketing perceptive. This chapter proposes that chatbots in luxury retail need to have low cost, quick response, attractiveness, personalised service, intelligence, and interactive features based on our research on the current application of chatbots in luxury retail. Finally, this chapter provides an analytical summary of recent research on the themes and informs future research in the field.

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References

  • Aguirre, E., Mahr, D., Grewal, D., De Ruyter, K., & Wetzels, M. (2015). Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. Journal of retailing, 91(1), 34–49.

    Google Scholar 

  • Alimamy, S., & Nadeem, W. (2021). Is this real? Cocreation of value through authentic experiential augmented reality: the mediating effect of perceived ethics and customer engagement. Information technology & people (West Linn, Or.) (ahead-of-print).

    Google Scholar 

  • Ameen, N., Hosany, S., & Tarhini, A. (2021). Consumer interaction with cutting-edge technologies: Implications for future research. Computers in Human Behavior, 120, 106761.

    Article  Google Scholar 

  • Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1), 79–95.

    Article  Google Scholar 

  • Barwise, P., & Farley, J. U. (2005). The state of interactive marketing in seven countries: Interactive marketing comes of age. Journal of Interactive Marketing, 19(3), 67–80.

    Article  Google Scholar 

  • Brandtzaeg, P. B., & Følstad, A. (2018). Chatbots: Changing user needs and motivations. Interactions, 25(5), 38–43.

    Article  Google Scholar 

  • Bock, D. E., Wolter, J. S., & Ferrell, O. C. (2020). Artificial intelligence: Disrupting what we know about services.\ Journal of Services Marketing.

    Google Scholar 

  • Blattberg, R. C., & Deighton, J. (1991). Interactive marketing: Exploiting the age of addressability. Sloan Management Review, 33(1), 5–15.

    Google Scholar 

  • Blut, M., Wang, C., Wünderlich, N. V., & Brock, C. (2021). Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI. Journal of the Academy of Marketing Science, 1–27.

    Google Scholar 

  • Bowden, J. L. H. (2009). The process of customer engagement: A conceptual framework. Journal of marketing theory and practice, 17(1), 63–74.

    Google Scholar 

  • Cheng, Y., & Jiang, H. (2021). Customer–brand relationship in the era of artificial intelligence: understanding the role of chatbot marketing efforts. Journal of Product & Brand Management.

    Google Scholar 

  • Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587–595.

    Article  Google Scholar 

  • Copulsky, J. (2019). Do conversational platforms represent the next big digital marketing opportunity? Applied Marketing Analytics, 4(4), 311–316.

    Google Scholar 

  • Cook, G. (2014). Customer experience in the omni-channel world and the challenges and opportunities this presents. Journal of Direct, Data and Digital Marketing Practice, 15(4), 262–266.

    Google Scholar 

  • Davenport, T. H. (2018). From analytics to artificial intelligence. Journal of Business Analytics, 1(2), 73–80.

    Google Scholar 

  • Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42.

    Article  Google Scholar 

  • Eigenraam, A. W., et al. (2018). A consumer-based taxonomy of digital customer engagement practices. Journal of Interactive Marketing, 44, 102–121.

    Article  Google Scholar 

  • Flavián, C., Ibáñez-Sánchez, S., & Orús, C. (2019). The impact of virtual, augmented and mixed reality technologies on the customer experience. Journal of Business Research, 100, 547–560.

    Article  Google Scholar 

  • Florenthal, B., & Shoham, A. (2010). Four-mode channel interactivity concept and channel preferences. Journal of Services Marketing, 24(1), 29–41.

    Article  Google Scholar 

  • Forbes. (2017). https://www.forbes.com/sites/rachelarthur/2017/12/08/louis-vuitton-becomes-latest-luxury-brand-to-launch-a-chatbot/?sh=29285d5afe10. Accessed on 10 August 2021.

  • Grewal, D., Roggeveen, A. L., & Nordfält, J. (2017). The future of retailing. Journal of Retailing, 93(1), 1–6.

    Article  Google Scholar 

  • Grewal, D., Hulland, J., Kopalle, P. K., & Karahanna, E. (2020). The future of technology and marketing: A multidisciplinary perspective. Journal of the Academy of Marketing Science, 48(1), 1–8.

    Article  Google Scholar 

  • Grewal, D., Gauri, D. K., Roggeveen, A. L., & Sethuraman, R. (2021a). Strategizing retailing in the new technology era. Journal of Retailing, 97(1), 6–12.

    Article  Google Scholar 

  • Grewal, D., Gauri, D. K., Das, G., Agarwal, J., & Spence, M. T. (2021b). Retailing and emergent technologies. Journal of Business Research, 134, 198–202.

    Article  Google Scholar 

  • Guha, A., Grewal, D., Kopalle, P. K., Haenlein, M., Schneider, M. J., Jung, H., ... & Hawkins, G. (2021). How artificial intelligence will affect the future of retailing. Journal of Retailing, 97(1), 28–41.

    Google Scholar 

  • Hoffman, D. L., & Novak, T. P. (2018). Consumer and object experience in the internet of things: An assemblage theory approach. Journal of Consumer Research, 44(6), 1178–1204.

    Article  Google Scholar 

  • Hollebeek, L. D. (2011). Exploring customer brand engagement: Definition and themes. Journal of Strategic Marketing, 19(7), 555–573.

    Article  Google Scholar 

  • Hoyer, W. D., Kroschke, M., Schmitt, B., Kraume, K., & Shankar, V. (2020). Transforming the customer experience through new technologies. Journal of Interactive Marketing, 51, 57–71.

    Article  Google Scholar 

  • Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172.

    Article  Google Scholar 

  • Juaneda-Ayensa, E., Mosquera, A., & Sierra Murillo, Y. (2016). Omnichannel customer behavior: Key drivers of technology acceptance and use and their effects on purchase intention. Frontiers in Psychology, 7, 1117.

    Article  Google Scholar 

  • Kasilingam, D. L. (2020). Understanding the attitude and intention to use smartphone chatbots for shopping. Technology in Society, 62, 101280.

    Article  Google Scholar 

  • Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.

    Article  Google Scholar 

  • Kotler, P., & Armstrong, G. (2010). Principles of marketing. Pearson education.

    Google Scholar 

  • Kushwaha, A. K., & Kar, A. K. (2021). MarkBot–a language model-driven chatbot for interactive marketing in post-modern world. Information Systems Frontiers, 1–18.

    Google Scholar 

  • Landim, A. R. D. B., Pereira, A. M., Vieira, T., de B. Costa, E., Moura, J. A. B., Wanick, V., & Bazaki, E. (2021). Chatbot design approaches for fashion E-commerce: An interdisciplinary review. International Journal of Fashion Design, Technology and Education, 15(2), 1–11.

    Google Scholar 

  • Lee, S., Lee, N., & Sah, Y. J. (2020). Perceiving a mind in a Chatbot: Effect of mind perception and social cues on co-presence, closeness, and intention to use. International Journal of Human-Computer Interaction, 36(10), 930–940.

    Article  Google Scholar 

  • Lee, L., Meyer, T., & Smith, J. S. (2012). Reinventing the customer experience: Technology and the service marketing mix. In Service Management (pp. 143–160). Springer.

    Google Scholar 

  • Majid, K. A. (2021). Effect of interactive marketing channels on service customer acquisition. Journal of Services Marketing, 35(3), 299–311.

    Article  Google Scholar 

  • Moriuchi, E., Landers, V. M., Colton, D., & Hair, N. (2021). Engagement with chatbots versus augmented reality interactive technology in e-commerce. Journal of Strategic Marketing, 29(5), 375–389.

    Article  Google Scholar 

  • Nozawa, C., Togawa, T., Velasco, C., & Motoki, K. (2022). Consumer responses to the use of artificial intelligence in luxury and non-luxury restaurants. Food Quality and Preference, 96, 104436.

    Article  Google Scholar 

  • Pantano, E. (2016). Engaging consumer through the storefront: Evidence from integrating interactive technologies. Journal of Retailing and Consumer Services, 28, 149–154.

    Article  Google Scholar 

  • Pansari, A., & Kumar, V. (2017). Customer engagement: The construct, antecedents, and consequences. Journal of the Academy of Marketing Science, 45(3), 294–311.

    Article  Google Scholar 

  • Pradana, A., Sing, G. O., & Kumar, Y. J. (2017). SamBot-intelligent conversational bot for interactive marketing with consumer-centric approach. International Journal of Computer Information Systems and Industrial Management Applications, 6(2014), 265–275.

    Google Scholar 

  • Piotrowicz, W., & Cuthbertson, R. (2014). Introduction to the special issue information technology in retail: Toward omnichannel retailing. International Journal of Electronic Commerce, 6(4), 5–16.

    Article  Google Scholar 

  • Qiu, L., & Benbasat, I. (2009). Evaluating anthropomorphic product recommendation agents: A social relationship perspective to designing information systems. Journal of Management Information Systems, 25(4), 145–182.

    Article  Google Scholar 

  • Rapp, A., Curti, L., & Boldi, A. (2021). The human side of human-chatbot interaction: A systematic literature review of ten years of research on text-based chatbots. International Journal of Human-Computer Studies, 151, 102630.

    Article  Google Scholar 

  • Rese, A., Ganster, L., & Baier, D. (2020). Chatbots in retailers’ customer communication: How to measure their acceptance? Journal of Retailing and Consumer Services, 56, 102176.

    Article  Google Scholar 

  • Roggeveen, A. L., & Sethuraman, R. (2020). Customer-interfacing retail technologies in 2020 & beyond: An integrative framework and research directions. Journal of Retailing, 96(3), 299–309.

    Article  Google Scholar 

  • Shankar, V., Inman, J. J., Mantrala, M., Kelley, E., & Rizley, R. (2011). Innovations in shopper marketing: Current insights and future research issues. Journal of Retailing, 87, S29–S42.

    Article  Google Scholar 

  • Shankar, V. (2018). How artificial intelligence (AI) is reshaping retailing. Journal of Retailing, 94(4), vi–xi.

    Article  Google Scholar 

  • Shankar, V., Grewal, D., Sunder, S., Fossen, B., Peters, K., & Agarwal, A. (2021a). Digital marketing communication in global marketplaces: A review of extant research, future directions, and potential approaches. International Journal of Research in Marketing (in press).

    Google Scholar 

  • Shankar, V., Kalyanam, K., Setia, P., Golmohammadi, A., Tirunillai, S., Douglass, T., ... & Waddoups, R. (2021b). How technology is changing retail. Journal of Retailing, 97(1), 13–27.

    Google Scholar 

  • Shieber, S., & Rapaport, W. J. (2005). The Turing test: Verbal behavior as the hallmark of intelligence. Computational Linguistics, 31(3), 407–412.

    Google Scholar 

  • Stone, M. D., & Woodcock, N. D. (2014). Interactive, direct and digital marketing: A future that depends on better use of business intelligence. Journal of Research in Interactive Marketing.

    Google Scholar 

  • Suhaili, S. M., Salim, N., & Jambli, M. N. (2021). Service chatbots: A systematic review. Expert Systems with Applications, 184, 115461.

    Article  Google Scholar 

  • Syam, N., & Sharma, A. (2018). Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice. Industrial Marketing Management, 69, 135–146.

    Article  Google Scholar 

  • Tam, K. Y., & Ho, S. Y. (2006). Understanding the impact of web personalization on user information processing and decision outcomes. MIS quarterly, 865–890.

    Google Scholar 

  • Tran, A. D., Pallant, J. I., & Johnson, L. W. (2021). Exploring the impact of chatbots on consumer sentiment and expectations in retail. Journal of Retailing and Consumer Services, 63, 102718.

    Article  Google Scholar 

  • Tsai, W. H. S., Liu, Y., & Chuan, C. H. (2021). How chatbots’ social presence communication enhances consumer engagement: The mediating role of parasocial interaction and dialogue. Journal of Research in Interactive Marketing, 15(3), 460–482.

    Article  Google Scholar 

  • Van den Broeck, E., Zarouali, B., & Poels, K. (2019). Chatbot advertising effectiveness: When does the message get through? Computers in Human Behavior, 98, 150–157.

    Article  Google Scholar 

  • Van Doorn, J., Lemon, K. N., Mittal, V., Nass, S., Pick, D., Pirner, P., & Verhoef, P. C. (2010). Customer engagement behavior: Theoretical foundations and research directions. Journal of Service Research, 13(3), 253–266.

    Article  Google Scholar 

  • Van Doorn, J., Mende, M., Noble, S. M., Hulland, J., Ostrom, A. L., Grewal, D., & Petersen, J. A. (2017). Domo arigato Mr. Roboto: Emergence of automated social presence in organizational frontlines and customers’ service experiences. Journal of Service Research, 20(1), 43–58.

    Google Scholar 

  • Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing: Introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174–181.

    Article  Google Scholar 

  • Verhoef, P. C., Reinartz, W. J., & Krafft, M. (2010). Customer engagement as a new perspective in customer management. Journal of service research, 13(3), 247–252.

    Google Scholar 

  • Vivek, S. D., Beatty, S. E., & Morgan, R. M. (2012). Customer engagement: Exploring customer relationships beyond purchase. Journal of Marketing Theory and Practice, 20(2), 122–146.

    Article  Google Scholar 

  • Vohra, A., & Bhardwaj, N. (2019). Customer engagement in an e-commerce brand community. Journal of Research in Interactive Marketing, 13(1), 2–25.

    Article  Google Scholar 

  • Wang, C. L. (2021). New frontiers and future directions in interactive marketing: Inaugural Editorial. Journal of Research in Interactive Marketing, 15(1), 1–9.

    Article  Google Scholar 

  • White, T. B., Zahay, D. L., Thorbjørnsen, H., & Shavitt, S. (2008). Getting too personal: Reactance to highly personalized email solicitations. Marketing Letters, 19(1), 39–50.

    Google Scholar 

  • Youn, S., & Jin, S. V. (2021). In AI we trust?” The effects of parasocial interaction and technopian versus luddite ideological views on chatbot-based customer relationship management in the emerging “feeling economy.” Computers in Human Behavior, 119, 106721.

    Article  Google Scholar 

  • Zarouali, B., Van den Broeck, E., Walrave, M., & Poels, K. (2018). Predicting consumer responses to a chatbot on Facebook. Cyberpsychology, Behavior, and Social Networking, 21(8), 491–497.

    Article  Google Scholar 

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Authors and Affiliations

  1. University of Manchester, Manchester, UK

    Ni Zeng, Liru Jiang, Gianpaolo Vignali & Daniella Ryding

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  1. Ni Zeng
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  2. Liru Jiang
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Correspondence to Ni Zeng .

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  1. University of New Haven, West Haven, CT, USA

    Cheng Lu Wang

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Zeng, N., Jiang, L., Vignali, G., Ryding, D. (2023). Customer Interactive Experience in Luxury Retailing: The Application of AI-Enabled Chatbots in the Interactive Marketing. In: Wang, C.L. (eds) The Palgrave Handbook of Interactive Marketing. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-14961-0_34

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