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Are AI chatbots a cure-all? The relative effectiveness of chatbot ambidexterity in crafting hedonic and cognitive smart experiences

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  • Fan, Hua
  • Gao, Wei
  • Han, Bing

Abstract

Whether AI chatbots improve smart experiences and generate revenue is an under-researched topic. This study fills this research gap by investigating and comparing the effects of the full range of chatbot ambidexterity on smart experiences. Using empirical data from 1,026 customers, the results indicate that chatbot ambidexterity is not a cure-all. Only efficiency-flexibility ambidexterity benefits smart experiences and customer patronage, while service-sales ambidexterity is detrimental to the creation of smart experiences. Furthermore, high service-low sales (vs low service-high sales) ambidexterity has a stronger impact on hedonic smart experiences but a weaker influence on cognitive smart experiences. Low efficiency-high flexibility and low existing-high new product selling ambidexterity outperform high efficiency-low flexibility and high existing-low new product selling ambidexterity, respectively, in crafting either hedonic or cognitive smart experiences. The results also reveal that hedonic smart experiences have a stronger impact on customer patronage than cognitive smart experiences. This study contributes to the literature on smart experiences and chatbot ambidexterity and provides fruitful and meaningful guidance for service providers regarding the deployment of AI chatbots in the frontline interface.

Suggested Citation

  • Fan, Hua & Gao, Wei & Han, Bing, 2023. "Are AI chatbots a cure-all? The relative effectiveness of chatbot ambidexterity in crafting hedonic and cognitive smart experiences," Journal of Business Research, Elsevier, vol. 156(C).
  • Handle: RePEc:eee:jbrese:v:156:y:2023:i:c:s0148296322009912
    DOI: 10.1016/j.jbusres.2022.113526
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    as
    1. Michel Borgh & Jeroen Schepers, 2018. "Are conservative approaches to new product selling a blessing in disguise?," Journal of the Academy of Marketing Science, Springer, vol. 46(5), pages 857-878, September.
    2. Buonincontri, P. & Morvillo, A. & Okumus, F. & van Niekerk, M., 2017. "Managing the experience co-creation process in tourism destinations: Empirical findings from Naples," Tourism Management, Elsevier, vol. 62(C), pages 264-277.
    3. Brannon Barhorst, Jennifer & McLean, Graeme & Shah, Esta & Mack, Rhonda, 2021. "Blending the real world and the virtual world: Exploring the role of flow in augmented reality experiences," Journal of Business Research, Elsevier, vol. 122(C), pages 423-436.
    4. Nisreen Ameen & Ali Tarhini & Alexander Reppel & Amitabh Anand, 2021. "Customer experiences in the age of artificial intelligence," Post-Print halshs-03045430, HAL.
    5. Molinillo, Sebastian & Navarro-García, Antonio & Anaya-Sánchez, Rafael & Japutra, Arnold, 2020. "The impact of affective and cognitive app experiences on loyalty towards retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    6. Qing, Tang & Haiying, Du, 2021. "How to achieve consumer continuance intention toward branded apps—from the consumer–brand engagement perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    7. Gao, Wei & Fan, Hua & Li, Wenqian & Wang, Huiling, 2021. "Crafting the customer experience in omnichannel contexts: The role of channel integration," Journal of Business Research, Elsevier, vol. 126(C), pages 12-22.
    8. Molinillo, Sebastian & Aguilar-Illescas, Rocío & Anaya-Sánchez, Rafael & Carvajal-Trujillo, Elena, 2022. "The customer retail app experience: Implications for customer loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    9. Tyrväinen, Olli & Karjaluoto, Heikki & Saarijärvi, Hannu, 2020. "Personalization and hedonic motivation in creating customer experiences and loyalty in omnichannel retail," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    10. Barari, Mojtaba & Ross, Mitchell & Surachartkumtonkun, Jiraporn, 2020. "Negative and positive customer shopping experience in an online context," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    11. Lambillotte, Laetitia & Magrofuoco, Nathan & Poncin, Ingrid & Vanderdonckt, Jean, 2022. "Enhancing playful customer experience with personalization," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    12. Jung, Timothy Hyungsoo & Bae, Sujin & Moorhouse, Natasha & Kwon, Ohbyung, 2021. "The impact of user perceptions of AR on purchase intention of location-based AR navigation systems," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    13. Fan, Xiaojun & Chai, Zeli & Deng, Nianqi & Dong, Xuebing, 2020. "Adoption of augmented reality in online retailing and consumers’ product attitude: A cognitive perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    14. Keeling, Kathleen & McGoldrick, Peter & Beatty, Susan, 2010. "Avatars as salespeople: Communication style, trust, and intentions," Journal of Business Research, Elsevier, vol. 63(8), pages 793-800, August.
    15. Xueming Luo & Siliang Tong & Zheng Fang & Zhe Qu, 2019. "Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases," Marketing Science, INFORMS, vol. 38(6), pages 937-947, November.
    16. Japutra, Arnold & Utami, Ami Fitri & Molinillo, Sebastian & Ekaputra, Irwan Adi, 2021. "Influence of customer application experience and value in use on loyalty toward retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    17. Cocco, Helen & Demoulin, Nathalie T.M., 2022. "Designing a seamless shopping journey through omnichannel retailer integration," Journal of Business Research, Elsevier, vol. 150(C), pages 461-475.
    18. Blut, Markus & Teller, Christoph & Floh, Arne, 2018. "Testing Retail Marketing-Mix Effects on Patronage: A Meta-Analysis," Journal of Retailing, Elsevier, vol. 94(2), pages 113-135.
    19. Jingyan Gao & Lina Ren & Yang Yang & Duo Zhang & Lan Li, 2022. "The impact of artificial intelligence technology stimuli on smart customer experience and the moderating effect of technology readiness," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 17(4), pages 1123-1142, March.
    20. Fan, Hua & Han, Bing & Gao, Wei, 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, Elsevier, vol. 66(C).
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    Cited by:

    1. David B. Audretsch & Maribel Guerrero, 2023. "Is ambidexterity the missing link between entrepreneurship, management, and innovation?," The Journal of Technology Transfer, Springer, vol. 48(6), pages 1891-1918, December.

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