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Unlocking the potential of AI: Enhancing consumer engagement in the beauty and cosmetic product purchases

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  • Chakraborty, Debarun
  • Polisetty, Aruna
  • G, Sowmya
  • Rana, Nripendra P.
  • Khorana, Sangeeta

Abstract

This study reviews the use of artificial intelligence (AI) technology applications, particularly augmented reality (AR) and virtual reality (VR), in the beauty and cosmetic industry (BCI). It investigates the transformative potential of AI-enabled solutions in BCI and its impact on consumer satisfaction. While consumers are willing to adopt smart technology tools and solutions into beauty services, there is a lack of clarity on the level of consumer awareness and willingness to utilise AI-led technologies. To fill this gap, this study develops a conceptual framework based on AI affordances by classifying them into four distinct affordances of AI, namely: existence, perception, actualisation, and effect. We employ a mixed-method analysis, using 177 user testimonials and a quantitative analysis of 866 users. The uniqueness of this study is investigating the moderating role of virtual trial experience in BCI. The study found that AI compatibility significantly impacted all three dimensions of affordance perception. We confirmed that perceived relative advantage also had a significant positive influence on all three dimensions of affordance perception. In addition, all the affordance perception variables significantly positively affected the willingness to adopt traditional beauty and cosmetic product purchase methods. The results also confirmed the significant moderating role of virtual trial experience magnifying the willingness to embrace AI assisted beauty and cosmetic purchases. The findings contribute to an enhanced understanding of AI integration tools in BCI, and provides an insight into consumers’ willingness and awareness to adopt smart technologies in beauty services.

Suggested Citation

  • Chakraborty, Debarun & Polisetty, Aruna & G, Sowmya & Rana, Nripendra P. & Khorana, Sangeeta, 2024. "Unlocking the potential of AI: Enhancing consumer engagement in the beauty and cosmetic product purchases," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
  • Handle: RePEc:eee:joreco:v:79:y:2024:i:c:s0969698924001383
    DOI: 10.1016/j.jretconser.2024.103842
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    References listed on IDEAS

    as
    1. Edward J. Oughton & William Lehr, 2022. "Surveying 5G Techno-Economic Research to Inform the Evaluation of 6G Wireless Technologies," Papers 2201.02272, arXiv.org, revised Jan 2022.
    2. Prentice, Catherine & Nguyen, Mai, 2020. "Engaging and retaining customers with AI and employee service," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    3. Chakraborty, Debarun & Patre, Smruti & Tiwari, Devisha, 2023. "Metaverse mingle: Discovering dating intentions in metaverse," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    4. Xie, Yuguang & Liang, Changyong & Zhou, Peiyu & Jiang, Li, 2024. "Exploring the influence mechanism of chatbot-expressed humor on service satisfaction in online customer service," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    5. Baabdullah, Abdullah M. & Alalwan, Ali Abdallah & Algharabat, Raed S. & Metri, Bhimaraya & Rana, Nripendra P., 2022. "Virtual agents and flow experience: An empirical examination of AI-powered chatbots," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    6. Pizzi, Gabriele & Scarpi, Daniele & Pantano, Eleonora, 2021. "Artificial intelligence and the new forms of interaction: Who has the control when interacting with a chatbot?," Journal of Business Research, Elsevier, vol. 129(C), pages 878-890.
    7. Jan, Ihsan Ullah & Ji, Seonggoo & Kim, Changju, 2023. "What (de) motivates customers to use AI-powered conversational agents for shopping? The extended behavioral reasoning perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    8. Nisreen Ameen & Ali Tarhini & Alexander Reppel & Amitabh Anand, 2021. "Customer experiences in the age of artificial intelligence," Post-Print halshs-03045430, HAL.
    9. Ruan, Yanya & Mezei, József, 2022. "When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute type," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    10. Kamal, Syeda Ayesha & Shafiq, Muhammad & Kakria, Priyanka, 2020. "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technology in Society, Elsevier, vol. 60(C).
    11. Cao, Guangming & Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K., 2021. "Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making," Technovation, Elsevier, vol. 106(C).
    12. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    13. Poonam Garg & Bhumika Gupta & Ajay Kumar Chauhan & Uthayasankar Sivarajah & Shivam Gupta & Sachin Modgil, 2021. "Measuring the perceived benefits of implementing blockchain technology in the banking sector," Post-Print hal-03145195, HAL.
    14. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    15. Chaturvedi, Rijul & Verma, Sanjeev & Das, Ronnie & Dwivedi, Yogesh K., 2023. "Social companionship with artificial intelligence: Recent trends and future avenues," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    16. Garg, Poonam & Gupta, Bhumika & Chauhan, Ajay Kumar & Sivarajah, Uthayasankar & Gupta, Shivam & Modgil, Sachin, 2021. "Measuring the perceived benefits of implementing blockchain technology in the banking sector," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    17. Moore, Simon & Bulmer, Sandy & Elms, Jonathan, 2022. "The social significance of AI in retail on customer experience and shopping practices," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    18. Giulia Pozzi & Federico Pigni & Claudio Vitari, 2014. "Affordance Theory in the IS Discipline: a Review and Synthesis of the Literature," Post-Print halshs-01923663, HAL.
    19. Douglas, Matthew A. & Overstreet, Robert E. & Hazen, Benjamin T., 2016. "Art of the possible or fool's errand? Diffusion of large-scale management innovation," Business Horizons, Elsevier, vol. 59(4), pages 379-389.
    20. Tran, Anh D. & Pallant, Jason I. & Johnson, Lester W., 2021. "Exploring the impact of chatbots on consumer sentiment and expectations in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    21. Haque, AKM Bahalul & Islam, A.K.M. Najmul & Mikalef, Patrick, 2023. "Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    22. Khan, Ali Nawaz & Jabeen, Fauzia & Mehmood, Khalid & Ali Soomro, Mohsin & Bresciani, Stefano, 2023. "Paving the way for technological innovation through adoption of artificial intelligence in conservative industries," Journal of Business Research, Elsevier, vol. 165(C).
    23. Huang, Dongling & Markovitch, Dmitri G. & Stough, Rusty A., 2024. "Can chatbot customer service match human service agents on customer satisfaction? An investigation in the role of trust," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    24. Lin, Shunzhi & Lin, Jiabao, 2023. "How organizations leverage digital technology to develop customization and enhance customer relationship performance: An empirical investigation," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    25. MacKenzie, Scott B. & Podsakoff, Philip M., 2012. "Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies," Journal of Retailing, Elsevier, vol. 88(4), pages 542-555.
    26. Hu, Qian & Pan, Zhao, 2023. "Can AI benefit individual resilience? The mediation roles of AI routinization and infusion," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    27. Giulia Pozzi & Federico Pigni & Claudio Vitari, 2014. "Affordance Theory in the IS Discipline: a Review and Synthesis of the Literature," Grenoble Ecole de Management (Post-Print) halshs-01923663, HAL.
    28. Rahman, Muhammad Sabbir & Bag, Surajit & Hossain, Md Afnan & Abdel Fattah, Fadi Abdel Muniem & Gani, Mohammad Osman & Rana, Nripendra P., 2023. "The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    29. Yuan, Chunlin & Zhang, Chenlei & Wang, Shuman, 2022. "Social anxiety as a moderator in consumer willingness to accept AI assistants based on utilitarian and hedonic values," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    30. Li, Sixian & Peluso, Alessandro M. & Duan, Jinyun, 2023. "Why do we prefer humans to artificial intelligence in telemarketing? A mind perception explanation," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    31. Klaus, Phil & Zaichkowsky, Judith Lynne, 2022. "The convenience of shopping via voice AI: Introducing AIDM," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    32. Abadie, Amelie & Roux, Mélanie & Chowdhury, Soumyadeb & Dey, Prasanta, 2023. "Interlinking organisational resources, AI adoption and omnichannel integration quality in Ghana’s healthcare supply chain," Journal of Business Research, Elsevier, vol. 162(C).
    33. Li, Chia-Ying & Zhang, Jin-Ting, 2023. "Chatbots or me? Consumers’ switching between human agents and conversational agents," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    34. Dwivedi, Yogesh K. & Sharma, Anuj & Rana, Nripendra P. & Giannakis, Mihalis & Goel, Pooja & Dutot, Vincent, 2023. "Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    35. Li, Tian-Ge & Zhang, Chu-Bing & Chang, Ying & Zheng, Wei, 2024. "The impact of AI identity disclosure on consumer unethical behavior: A social judgment perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    36. Virmani, Naveen & Sharma, Shikha & Kumar, Anil & Luthra, Sunil, 2023. "Adoption of industry 4.0 evidence in emerging economy: Behavioral reasoning theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    37. Talwar, Shalini & Talwar, Manish & Kaur, Puneet & Dhir, Amandeep, 2020. "Consumers’ resistance to digital innovations: A systematic review and framework development," Australasian marketing journal, Elsevier, vol. 28(4), pages 286-299.
    38. Cobelli, Nicola & Cassia, Fabio & Burro, Roberto, 2021. "Factors affecting the choices of adoption/non-adoption of future technologies during coronavirus pandemic," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    39. Chong, Terrence & Yu, Ting & Keeling, Debbie Isobel & de Ruyter, Ko, 2021. "AI-chatbots on the services frontline addressing the challenges and opportunities of agency," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    40. Chowdhury, Soumyadeb & Budhwar, Pawan & Dey, Prasanta Kumar & Joel-Edgar, Sian & Abadie, Amelie, 2022. "AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework," Journal of Business Research, Elsevier, vol. 144(C), pages 31-49.
    41. Kowalczuk, Pascal & Siepmann (née Scheiben), Carolin & Adler, Jost, 2021. "Cognitive, affective, and behavioral consumer responses to augmented reality in e-commerce: A comparative study," Journal of Business Research, Elsevier, vol. 124(C), pages 357-373.
    42. Xusen Cheng & Xiao Lin & Xiao-Liang Shen & Alex Zarifis & Jian Mou, 2022. "The dark sides of AI," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 11-15, March.
    43. Wang, Ping & Li, Kunyang & Du, Qinglong & Wang, Jianqiong, 2024. "Customer experience in AI-enabled products: Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    44. Hsu, Chin-Lung & Lin, Judy Chuan-Chuan, 2023. "Understanding the user satisfaction and loyalty of customer service chatbots," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    45. Chatterjee, Sheshadri & Rana, Nripendra P. & Dwivedi, Yogesh K. & Baabdullah, Abdullah M., 2021. "Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    46. 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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