Skip to main content

2023 | OriginalPaper | Buchkapitel

Understanding the Application of AI-enabled Chatbots in Luxury Fashion Retailing

verfasst von : Ni Zeng, Gianpaolo Vignali, Daniella Ryding

Erschienen in: The Garment Economy

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In recent years, chatbots, also known as dialogue/conversational systems/agents, have gotten a lot of attention and have been widely used in the fashion industry, facilitating interaction between customers and brands while also changing customer value. Furthermore, fashion brands are using chatbots to deliver personalised customer experiences because of the development of e-commerce. Despite the numerous advancements made in recent decades, chatbot technology is still in its early stages. It appears that there is still a temporal gap between what AI-chatbots might be capable of and their actual implementation. Thus, it is important that both retailers and academies understand the opportunities and challenges of using chatbot technologies. Based on this situation, the aims of this chapter are to provide readers with an initial understanding of the application of chatbot technologies in luxury fashion retail and the opportunities and challenges of chatbot technologies. To achieve the research aims, this chapter introduces the origins and background information about chatbot technology and its application in the fashion industry and critically evaluates the literature on the application of chatbot technology in the fashion industry. In addition, this chapter highlights and identifies the opportunities and challenges of chatbots in the luxury fashion industry. Finally, this chapter proposes eight relevant topics that have been addressed by text-based chatbot research in recent years, with a particular focus on luxury fashion retailing.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Adamopoulou, E., & Moussiades, L. (2020). Chatbots: History, technology, and applications. Machine Learning with Applications, 2, 100006.CrossRef Adamopoulou, E., & Moussiades, L. (2020). Chatbots: History, technology, and applications. Machine Learning with Applications, 2, 100006.CrossRef
Zurück zum Zitat Agrawal, S. R., & Mittal, D. (2022). Optimizing customer engagement content strategy in retail and E-tail: Available on online product review videos. Journal of Retailing and Consumer Services, 67, 102966.CrossRef Agrawal, S. R., & Mittal, D. (2022). Optimizing customer engagement content strategy in retail and E-tail: Available on online product review videos. Journal of Retailing and Consumer Services, 67, 102966.CrossRef
Zurück zum Zitat André, Q., Carmon, Z., Wertenbroch, K., Crum, A., Frank, D., Goldstein, W., et al. (2018). Consumer choice and autonomy in the age of artificial intelligence and big data. Customer Needs and Solutions, 5(1), 28–37.CrossRef André, Q., Carmon, Z., Wertenbroch, K., Crum, A., Frank, D., Goldstein, W., et al. (2018). Consumer choice and autonomy in the age of artificial intelligence and big data. Customer Needs and Solutions, 5(1), 28–37.CrossRef
Zurück zum Zitat Atwal, G., & Williams, A. (2009). Luxury brand marketing–the experience is everything! Journal of Brand Management, 16(5), 338–346.CrossRef Atwal, G., & Williams, A. (2009). Luxury brand marketing–the experience is everything! Journal of Brand Management, 16(5), 338–346.CrossRef
Zurück zum Zitat Bavaresco, R., Silveira, D., Reis, E., Barbosa, J., Righi, R., Costa, C., et al. (2020). Conversational agents in business: A systematic literature review and future research directions. Computer Science Review, 36, 100239.CrossRef Bavaresco, R., Silveira, D., Reis, E., Barbosa, J., Righi, R., Costa, C., et al. (2020). Conversational agents in business: A systematic literature review and future research directions. Computer Science Review, 36, 100239.CrossRef
Zurück zum Zitat Bock, D. E., Wolter, J. S., & Ferrell, O. C. (2020). Artificial intelligence: Disrupting what we know about services. Journal of Services Marketing, 34(3), 317–334.CrossRef Bock, D. E., Wolter, J. S., & Ferrell, O. C. (2020). Artificial intelligence: Disrupting what we know about services. Journal of Services Marketing, 34(3), 317–334.CrossRef
Zurück zum Zitat Bowden, J. L. H. (2009). The process of customer engagement: A conceptual framework. Journal of Marketing Theory and Practice, 17(1), 63–74.CrossRef Bowden, J. L. H. (2009). The process of customer engagement: A conceptual framework. Journal of Marketing Theory and Practice, 17(1), 63–74.CrossRef
Zurück zum Zitat Brandtzaeg, P. B., & Følstad, A. (2017). Why people use chatbots. In International conference on internet science (pp. 377–392). Springer Brandtzaeg, P. B., & Følstad, A. (2017). Why people use chatbots. In International conference on internet science (pp. 377–392). Springer
Zurück zum Zitat Chen, J. S., Tran-Thien-Y, L., & Florence, D. (2021). Usability and responsiveness of artificial intelligence chatbot on online customer experience in e-retailing. International Journal of Retail & Distribution Management, 49(11), 1512–1531.CrossRef Chen, J. S., Tran-Thien-Y, L., & Florence, D. (2021). Usability and responsiveness of artificial intelligence chatbot on online customer experience in e-retailing. International Journal of Retail & Distribution Management, 49(11), 1512–1531.CrossRef
Zurück zum Zitat Cheng, Y., & Jiang, H. (2020). How do AI-driven chatbots impact user experience? Examining gratifications, perceived privacy risk, satisfaction, loyalty, and continued use. Journal of Broadcasting & Electronic Media, 64(4), 592–614.CrossRef Cheng, Y., & Jiang, H. (2020). How do AI-driven chatbots impact user experience? Examining gratifications, perceived privacy risk, satisfaction, loyalty, and continued use. Journal of Broadcasting & Electronic Media, 64(4), 592–614.CrossRef
Zurück zum Zitat 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.CrossRef 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.CrossRef
Zurück zum Zitat Colombi, C., Kim, P., & Wyatt, N. (2018). Fashion retailing “tech-gagement”: Engagement fueled by new technology. Research Journal of Textile and Apparel, 22, 390.CrossRef Colombi, C., Kim, P., & Wyatt, N. (2018). Fashion retailing “tech-gagement”: Engagement fueled by new technology. Research Journal of Textile and Apparel, 22, 390.CrossRef
Zurück zum Zitat Dale, R. (2016). The return of the chatbots. Natural Language Engineering, 22(5), 811–817.CrossRef Dale, R. (2016). The return of the chatbots. Natural Language Engineering, 22(5), 811–817.CrossRef
Zurück zum Zitat Fan, H., Han, B., & Gao, W. (2022). (Im) Balanced customer-oriented behaviors and AI chatbots’ efficiency–flexibility performance: The moderating role of customers’ rational choices. Journal of Retailing and Consumer Services, 66, 102937.CrossRef Fan, H., Han, B., & Gao, W. (2022). (Im) Balanced customer-oriented behaviors and AI chatbots’ efficiency–flexibility performance: The moderating role of customers’ rational choices. Journal of Retailing and Consumer Services, 66, 102937.CrossRef
Zurück zum Zitat Grewal, D., Roggeveen, A. L., & Nordfält, J. (2017). The future of retailing. Journal of Retailing, 93(1), 1–6.CrossRef Grewal, D., Roggeveen, A. L., & Nordfält, J. (2017). The future of retailing. Journal of Retailing, 93(1), 1–6.CrossRef
Zurück zum Zitat Guha, A., Grewal, D., Kopalle, P. K., Haenlein, M., Schneider, M. J., Jung, H., et al. (2021). How artificial intelligence will affect the future of retailing. Journal of Retailing, 97(1), 28–41.CrossRef Guha, A., Grewal, D., Kopalle, P. K., Haenlein, M., Schneider, M. J., Jung, H., et al. (2021). How artificial intelligence will affect the future of retailing. Journal of Retailing, 97(1), 28–41.CrossRef
Zurück zum Zitat Hiremath, G., Hajare, A., Bhosale, P., Nanaware, R., & Wagh, K. S. (2018). Chatbot for education system. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3), 37–43. Hiremath, G., Hajare, A., Bhosale, P., Nanaware, R., & Wagh, K. S. (2018). Chatbot for education system. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3), 37–43.
Zurück zum Zitat 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.CrossRef 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.CrossRef
Zurück zum Zitat Huang, M. H., & Rust, R. T. (2017). Technology-driven service strategy. Journal of the Academy of Marketing Science, 45(6), 906–924.CrossRef Huang, M. H., & Rust, R. T. (2017). Technology-driven service strategy. Journal of the Academy of Marketing Science, 45(6), 906–924.CrossRef
Zurück zum Zitat Idrees, S., Vignali, G., & Gill, S. (2020). Technological advancement in fashion online retailing: A comparative study of Pakistan and UK fashion E-commerce. International Journal of Economics and Management Engineering, 14(4), 313–328. Idrees, S., Vignali, G., & Gill, S. (2020). Technological advancement in fashion online retailing: A comparative study of Pakistan and UK fashion E-commerce. International Journal of Economics and Management Engineering, 14(4), 313–328.
Zurück zum Zitat Jiang, K., Qin, M., & Li, S. (2022). Chatbots in retail: How do they affect the continued use and purchase intentions of Chinese consumers? Journal of Consumer Behaviour, 21(4), 756–772.CrossRef Jiang, K., Qin, M., & Li, S. (2022). Chatbots in retail: How do they affect the continued use and purchase intentions of Chinese consumers? Journal of Consumer Behaviour, 21(4), 756–772.CrossRef
Zurück zum Zitat 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.CrossRef 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.CrossRef
Zurück zum Zitat Ko, E., Phau, I., & Aiello, G. (2016). Luxury brand strategies and customer experiences: Contributions to theory and practice. Journal of Business Research, 69(12), 5749–5752.CrossRef Ko, E., Phau, I., & Aiello, G. (2016). Luxury brand strategies and customer experiences: Contributions to theory and practice. Journal of Business Research, 69(12), 5749–5752.CrossRef
Zurück zum Zitat Landim, A. R. D. B., Pereira, A. M., Vieira, T., de 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, 1–11. Landim, A. R. D. B., Pereira, A. M., Vieira, T., de 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, 1–11.
Zurück zum Zitat Lee, S., & Choi, J. (2017). Enhancing user experience with conversational agent for movie recommendation: Effects of self-disclosure and reciprocity. International Journal of Human-Computer Studies, 103, 95–105.CrossRef Lee, S., & Choi, J. (2017). Enhancing user experience with conversational agent for movie recommendation: Effects of self-disclosure and reciprocity. International Journal of Human-Computer Studies, 103, 95–105.CrossRef
Zurück zum Zitat Li, Y., & Shin, H. (2022). Should a luxury brand’s chatbot use emoticons? Impact on brand status. Journal of Consumer Behaviour, 2022, 1–13. Li, Y., & Shin, H. (2022). Should a luxury brand’s chatbot use emoticons? Impact on brand status. Journal of Consumer Behaviour, 2022, 1–13.
Zurück zum Zitat Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937–947. Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937–947.
Zurück zum Zitat McLean, G., & Wilson, A. (2016). Evolving the online customer experience… is there a role for online customer support? Computers in Human Behavior, 60, 602–610.CrossRef McLean, G., & Wilson, A. (2016). Evolving the online customer experience… is there a role for online customer support? Computers in Human Behavior, 60, 602–610.CrossRef
Zurück zum Zitat Mori, M. (1970). Bukimi no tani [the uncanny valley]. Energy, 7, 33–35. Mori, M. (1970). Bukimi no tani [the uncanny valley]. Energy, 7, 33–35.
Zurück zum Zitat Nuruzzaman, M., & Hussain, O. K. (2020). IntelliBot: A dialogue-based chatbot for the insurance industry. Knowledge-Based Systems, 196, 105810.CrossRef Nuruzzaman, M., & Hussain, O. K. (2020). IntelliBot: A dialogue-based chatbot for the insurance industry. Knowledge-Based Systems, 196, 105810.CrossRef
Zurück zum Zitat Pansari, A., & Kumar, V. (2017). Customer engagement: The construct, antecedents, and consequences. Journal of the Academy of Marketing Science, 45(3), 294–311.CrossRef Pansari, A., & Kumar, V. (2017). Customer engagement: The construct, antecedents, and consequences. Journal of the Academy of Marketing Science, 45(3), 294–311.CrossRef
Zurück zum Zitat Pantano, E., Passavanti, R., Priporas, C. V., & Verteramo, S. (2018). To what extent luxury retailing can be smart? Journal of Retailing and Consumer Services, 43, 94–100.CrossRef Pantano, E., Passavanti, R., Priporas, C. V., & Verteramo, S. (2018). To what extent luxury retailing can be smart? Journal of Retailing and Consumer Services, 43, 94–100.CrossRef
Zurück zum Zitat Pantano, E., Pedeliento, G., & Christodoulides, G. (2022). A strategic framework for technological innovations in support of the customer experience: A focus on luxury retailers. Journal of Retailing and Consumer Services, 66, 102959.CrossRef Pantano, E., Pedeliento, G., & Christodoulides, G. (2022). A strategic framework for technological innovations in support of the customer experience: A focus on luxury retailers. Journal of Retailing and Consumer Services, 66, 102959.CrossRef
Zurück zum Zitat Pantano, E., & Pizzi, G. (2020). Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis. Journal of Retailing and Consumer Services, 55, 102096.CrossRef Pantano, E., & Pizzi, G. (2020). Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis. Journal of Retailing and Consumer Services, 55, 102096.CrossRef
Zurück zum Zitat Pizzi, G., & Scarpi, D. (2020). Privacy threats with retail technologies: A consumer perspective. Journal of Retailing and Consumer Services, 56, 102160.CrossRef Pizzi, G., & Scarpi, D. (2020). Privacy threats with retail technologies: A consumer perspective. Journal of Retailing and Consumer Services, 56, 102160.CrossRef
Zurück zum Zitat Pizzi, G., Scarpi, D., & Pantano, E. (2021). Artificial intelligence and the new forms of interaction: Who has the control when interacting with a chatbot? Journal of Business Research, 129, 878–890.CrossRef Pizzi, G., Scarpi, D., & Pantano, E. (2021). Artificial intelligence and the new forms of interaction: Who has the control when interacting with a chatbot? Journal of Business Research, 129, 878–890.CrossRef
Zurück zum Zitat Przegalinska, A., Ciechanowski, L., Stroz, A., Gloor, P., & Mazurek, G. (2019). In bot we trust: A new methodology of chatbot performance measures. Business Horizons, 62(6), 785–797.CrossRef Przegalinska, A., Ciechanowski, L., Stroz, A., Gloor, P., & Mazurek, G. (2019). In bot we trust: A new methodology of chatbot performance measures. Business Horizons, 62(6), 785–797.CrossRef
Zurück zum Zitat 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.CrossRef 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.CrossRef
Zurück zum Zitat Reid, L. F., Ross, H., & Vignali, G. (2016). An exploration of the relationship between product selection criteria and engagement with ‘show-rooming’ and ‘web-rooming’ in the consumer’s decision-making process. International Journal of Business and Globalisation, 17(3), 364–383.CrossRef Reid, L. F., Ross, H., & Vignali, G. (2016). An exploration of the relationship between product selection criteria and engagement with ‘show-rooming’ and ‘web-rooming’ in the consumer’s decision-making process. International Journal of Business and Globalisation, 17(3), 364–383.CrossRef
Zurück zum Zitat 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.CrossRef 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.CrossRef
Zurück zum Zitat Ryding, D., Caratu, M., & Vignali, G. (2022). Eco-fashion brands and consumption: Is the attitude-behaviour gap narrowing for the millennial generation? International Journal of Business and Globalisation, 30(2), 131–154.CrossRef Ryding, D., Caratu, M., & Vignali, G. (2022). Eco-fashion brands and consumption: Is the attitude-behaviour gap narrowing for the millennial generation? International Journal of Business and Globalisation, 30(2), 131–154.CrossRef
Zurück zum Zitat Ryding, D., Vignali, G., Carey, R., & Wu, M. (2015). The relative significance of product quality attributes driving customer satisfaction within the fast fashion market: A UK perspective. International Journal of Business Performance Management, 16(2–3), 280–303.CrossRef Ryding, D., Vignali, G., Carey, R., & Wu, M. (2015). The relative significance of product quality attributes driving customer satisfaction within the fast fashion market: A UK perspective. International Journal of Business Performance Management, 16(2–3), 280–303.CrossRef
Zurück zum Zitat Sands, S., Ferraro, C., Campbell, C., & Tsao, H. Y. (2020). Managing the human–chatbot divide: How service scripts influence service experience. Journal of Service Management, 32(2), 246–264.CrossRef Sands, S., Ferraro, C., Campbell, C., & Tsao, H. Y. (2020). Managing the human–chatbot divide: How service scripts influence service experience. Journal of Service Management, 32(2), 246–264.CrossRef
Zurück zum Zitat Schmitt, B. (1999). Experiential marketing. Journal of Marketing Management, 15(1–3), 53–67.CrossRef Schmitt, B. (1999). Experiential marketing. Journal of Marketing Management, 15(1–3), 53–67.CrossRef
Zurück zum Zitat Shankar, V. (2018). How artificial intelligence (AI) is reshaping retailing. Journal of Retailing, 94(4), vi–xi.CrossRef Shankar, V. (2018). How artificial intelligence (AI) is reshaping retailing. Journal of Retailing, 94(4), vi–xi.CrossRef
Zurück zum Zitat Sheehan, B., Jin, H. S., & Gottlieb, U. (2020). Customer service chatbots: Anthropomorphism and adoption. Journal of Business Research, 115, 14–24.CrossRef Sheehan, B., Jin, H. S., & Gottlieb, U. (2020). Customer service chatbots: Anthropomorphism and adoption. Journal of Business Research, 115, 14–24.CrossRef
Zurück zum Zitat Siebert, A., Gopaldas, A., Lindridge, A., & Simões, C. (2020). Customer experience journeys: Loyalty loops versus involvement spirals. Journal of Marketing, 84(4), 45–66.CrossRef Siebert, A., Gopaldas, A., Lindridge, A., & Simões, C. (2020). Customer experience journeys: Loyalty loops versus involvement spirals. Journal of Marketing, 84(4), 45–66.CrossRef
Zurück zum Zitat Sohn, K., Sung, C. E., Koo, G., & Kwon, O. (2020). Artificial intelligence in the fashion industry: Consumer responses to generative adversarial network (GAN) technology. International Journal of Retail & Distribution Management, 49(1), 61–80.CrossRef Sohn, K., Sung, C. E., Koo, G., & Kwon, O. (2020). Artificial intelligence in the fashion industry: Consumer responses to generative adversarial network (GAN) technology. International Journal of Retail & Distribution Management, 49(1), 61–80.CrossRef
Zurück zum Zitat Taylor, J. F., Ferguson, J., & Ellen, P. S. (2015). From trait to state: Understanding privacy concerns. Journal of Consumer Marketing., 32(2), 99–112.CrossRef Taylor, J. F., Ferguson, J., & Ellen, P. S. (2015). From trait to state: Understanding privacy concerns. Journal of Consumer Marketing., 32(2), 99–112.CrossRef
Zurück zum Zitat ter Stal, S., Kramer, L. L., Tabak, M., op den Akker, H., & Hermens, H. (2020). Design features of embodied conversational agents in eHealth: A literature review. International Journal of Human-Computer Studies, 138, 102409.CrossRef ter Stal, S., Kramer, L. L., Tabak, M., op den Akker, H., & Hermens, H. (2020). Design features of embodied conversational agents in eHealth: A literature review. International Journal of Human-Computer Studies, 138, 102409.CrossRef
Zurück zum Zitat 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.CrossRef 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.CrossRef
Zurück zum Zitat Trivedi, J. (2019). Examining the customer experience of using banking chatbots and its impact on brand love: The moderating role of perceived risk. Journal of Internet Commerce, 18(1), 91–111.CrossRef Trivedi, J. (2019). Examining the customer experience of using banking chatbots and its impact on brand love: The moderating role of perceived risk. Journal of Internet Commerce, 18(1), 91–111.CrossRef
Zurück zum Zitat Velasco, F., Yang, Z., & Janakiraman, N. (2021). A meta-analytic investigation of consumer response to anthropomorphic appeals: The roles of product type and uncertainty avoidance. Journal of Business Research, 131, 735–746.CrossRef Velasco, F., Yang, Z., & Janakiraman, N. (2021). A meta-analytic investigation of consumer response to anthropomorphic appeals: The roles of product type and uncertainty avoidance. Journal of Business Research, 131, 735–746.CrossRef
Zurück zum Zitat Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009). Customer experience creation: Determinants, dynamics and management strategies. Journal of Retailing, 85(1), 31–41.CrossRef Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009). Customer experience creation: Determinants, dynamics and management strategies. Journal of Retailing, 85(1), 31–41.CrossRef
Zurück zum Zitat Vignali, G., & Reid, L. (2014). Analysing consumer motivation towards purchasing fashion online. International Journal of Business and Globalisation, 13(2), 133–152.CrossRef Vignali, G., & Reid, L. (2014). Analysing consumer motivation towards purchasing fashion online. International Journal of Business and Globalisation, 13(2), 133–152.CrossRef
Zurück zum Zitat Vignali, G., Reid, L. F., Ryding, D., & Henninger, C. (2019). Technology driven sustainability: Innovation in the fashion supply chain. Springer. Vignali, G., Reid, L. F., Ryding, D., & Henninger, C. (2019). Technology driven sustainability: Innovation in the fashion supply chain. Springer.
Zurück zum Zitat Vignali, G., & Vignali, C. (2009). Fashion marketing and theory. Access Press UK. Vignali, G., & Vignali, C. (2009). Fashion marketing and theory. Access Press UK.
Zurück zum Zitat Vignali, G., Vignali, C., & Ryding, D. (2010). The strategy process. Access Press UK. Vignali, G., Vignali, C., & Ryding, D. (2010). The strategy process. Access Press UK.
Zurück zum Zitat Vignali, G., Zhao, J., & Campaniolo, D. (2014). Analysing online shopping attributes to influence consumer purchasing for fashion products. International Journal of Business and Globalisation, 13(3), 387–418.CrossRef Vignali, G., Zhao, J., & Campaniolo, D. (2014). Analysing online shopping attributes to influence consumer purchasing for fashion products. International Journal of Business and Globalisation, 13(3), 387–418.CrossRef
Zurück zum Zitat Weizenbaum, J. (1966). ELIZA—A computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36–45.CrossRef Weizenbaum, J. (1966). ELIZA—A computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36–45.CrossRef
Zurück zum Zitat Yen, C., & Chiang, M. C. (2021). Trust me, if you can: A study on the factors that influence consumers’ purchase intention triggered by chatbots based on brain image evidence and self-reported assessments. Behaviour & Information Technology, 40(11), 1177–1194.CrossRef Yen, C., & Chiang, M. C. (2021). Trust me, if you can: A study on the factors that influence consumers’ purchase intention triggered by chatbots based on brain image evidence and self-reported assessments. Behaviour & Information Technology, 40(11), 1177–1194.CrossRef
Zurück zum Zitat 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.CrossRef 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.CrossRef
Metadaten
Titel
Understanding the Application of AI-enabled Chatbots in Luxury Fashion Retailing
verfasst von
Ni Zeng
Gianpaolo Vignali
Daniella Ryding
Copyright-Jahr
2023
Verlag
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-031-33302-6_19

Premium Partner