IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v10y2023i1d10.1057_s41599-023-02244-2.html
   My bibliography  Save this article

Comparing the influence of visual information and the perceived intelligence of voice assistants when shopping for sustainable clothing online

Author

Listed:
  • Pei Li

    (Shanghai University of Engineering Science)

  • Chunmao Wu

    (Donghua University)

  • Charles Spence

    (University of Oxford)

Abstract

In an effort to reduce the negative impact of clothing manufacturing on the environment, a number of international clothing brands have made strides towards engaging in more environmentally-sustainable behaviours. However, further research is still needed in order to understand the effects of these efforts on consumer perception and decision-making in the case of sustainable clothing. This study examines the role of visual information (VI) associated with sustainable clothing on a website, and the perceived intelligence of voice assistants (PIVA), in influencing consumers’ purchase behaviour (PB) when shopping online for sustainable clothing. 2656 valid samples were collected and analysed using correlation analysis, factor analysis, and regression analysis. The results indicate that VI and PIVA both significantly influence consumers’ positive attitudes and PB towards sustainable clothing. Furthermore, the significant effect of these two factors on PB, through positive attitude towards sustainable clothing, are moderated by knowledge of sustainability issues. This paper therefore provides theoretical implications for sustainable clothing online retailing by testing the relationship between relevant variables. The findings also contribute to brand retailers improving their consumers’ decision-making and strengthening the perception-behaviour relationship in sustainable clothing shopping.

Suggested Citation

  • Pei Li & Chunmao Wu & Charles Spence, 2023. "Comparing the influence of visual information and the perceived intelligence of voice assistants when shopping for sustainable clothing online," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
  • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02244-2
    DOI: 10.1057/s41599-023-02244-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-023-02244-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-023-02244-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Benedict G. C. Dellaert & Suzanne B. Shu & Theo A. Arentze & Tom Baker & Kristin Diehl & Bas Donkers & Nathanael J. Fast & Gerald Häubl & Heidi Johnson & Uma R. Karmarkar & Harmen Oppewal & Bernd H. S, 2020. "Consumer decisions with artificially intelligent voice assistants," Marketing Letters, Springer, vol. 31(4), pages 335-347, December.
    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. 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).
    4. Hasan, Rajibul & Shams, Riad & Rahman, Mizan, 2021. "Consumer trust and perceived risk for voice-controlled artificial intelligence: The case of Siri," Journal of Business Research, Elsevier, vol. 131(C), pages 591-597.
    5. Wang, Yong Jian & Hernandez, Monica D. & Minor, Michael S., 2010. "Web aesthetics effects on perceived online service quality and satisfaction in an e-tail environment: The moderating role of purchase task," Journal of Business Research, Elsevier, vol. 63(9-10), pages 935-942, September.
    6. Daniela Castillo & Ana Isabel Canhoto & Emanuel Said, 2021. "The dark side of AI-powered service interactions: exploring the process of co-destruction from the customer perspective," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 900-925, October.
    7. Malodia, Suresh & Kaur, Puneet & Ractham, Peter & Sakashita, Mototaka & Dhir, Amandeep, 2022. "Why do people avoid and postpone the use of voice assistants for transactional purposes? A perspective from decision avoidance theory," Journal of Business Research, Elsevier, vol. 146(C), pages 605-618.
    8. Xi, Nannan & Hamari, Juho, 2021. "Shopping in virtual reality: A literature review and future agenda," Journal of Business Research, Elsevier, vol. 134(C), pages 37-58.
    9. Yoganathan, Vignesh & Osburg, Victoria-Sophie & Akhtar, Pervaiz, 2019. "Sensory stimulation for sensible consumption: Multisensory marketing for e-tailing of ethical brands," Journal of Business Research, Elsevier, vol. 96(C), pages 386-396.
    10. Huddleston, Patricia & Coveyou, Mary Tuski & Behe, Bridget K., 2023. "Visual cues during shoppers’ journeys: An exploratory paper," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    11. Hongyi Sun & Pei‐Lee Teh & Jonathan D. Linton, 2018. "Impact of environmental knowledge and product quality on student attitude toward products with recycled/remanufactured content: Implications for environmental education and green manufacturing," Business Strategy and the Environment, Wiley Blackwell, vol. 27(7), pages 935-945, November.
    12. McLean, Graeme & Osei-Frimpong, Kofi & Barhorst, Jennifer, 2021. "Alexa, do voice assistants influence consumer brand engagement? – Examining the role of AI powered voice assistants in influencing consumer brand engagement," Journal of Business Research, Elsevier, vol. 124(C), pages 312-328.
    13. Hu, Peng & Gong, Yeming & Lu, Yaobin & Ding, Amy Wenxuan, 2023. "Speaking vs. listening? Balance conversation attributes of voice assistants for better voice marketing," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 109-127.
    14. Moser, Andrea K., 2016. "Consumers' purchasing decisions regarding environmentally friendly products: An empirical analysis of German consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 389-397.
    15. Nornajihah Nadia Hasbullah & Zuraidah Sulaiman & Adaviah Mas’od & Hanis Syuhada Ahmad Sugiran, 2022. "Drivers of Sustainable Apparel Purchase Intention: An Empirical Study of Malaysian Millennial Consumers," Sustainability, MDPI, vol. 14(4), pages 1-24, February.
    16. 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.
    17. Poushneh, Atieh, 2021. "Humanizing voice assistant: The impact of voice assistant personality on consumers’ attitudes and behaviors," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    18. Castellacci, Fulvio & Tveito, Vegard, 2018. "Internet use and well-being: A survey and a theoretical framework," Research Policy, Elsevier, vol. 47(1), pages 308-325.
    19. Yan Han, 2017. "Predicting Intentions to Purchase Sustainable Apparel in China: A Structural Equation Modeling Approach," International Journal of Psychological Studies, Canadian Center of Science and Education, vol. 9(2), pages 1-53, June.
    20. Silva, Susana C. & Rocha, Thelma Valeria & De Cicco, Roberta & Galhanone, Renata Fernandes & Manzini Ferreira Mattos, Luiza Tari, 2021. "Need for touch and haptic imagery: An investigation in online fashion shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    21. Seahee Lee, 2011. "Consumers’ Value, Environmental Consciousness, and Willingness to Pay more toward Green-Apparel Products," Journal of Global Fashion Marketing, Taylor & Francis Journals, vol. 2(3), pages 161-169.
    22. Kautish, Pradeep & Purohit, Sonal & Filieri, Raffaele & Dwivedi, Yogesh K., 2023. "Examining the role of consumer motivations to use voice assistants for fashion shopping: The mediating role of awe experience and eWOM," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    23. Petit, Olivia & Velasco, Carlos & Spence, Charles, 2019. "Digital Sensory Marketing: Integrating New Technologies Into Multisensory Online Experience," Journal of Interactive Marketing, Elsevier, vol. 45(C), pages 42-61.
    24. C. Caldara & Aradhna Krishna & Ryan S. Elder, 2010. "Feminine to smell but masculine to touch ? Multisensory congruence and its effect on the aesthetic experience," Post-Print halshs-00528786, HAL.
    25. Indra Abeysekera & Leah Manalang & Raul David & Bethel Grace Guiao, 2022. "Accounting for Environmental Awareness on Green Purchase Intention and Behaviour: Evidence from the Philippines," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    26. Alexander Rossolov & Halyna Rossolova & José Holguín-Veras, 2021. "Online and in-store purchase behavior: shopping channel choice in a developing economy," Transportation, Springer, vol. 48(6), pages 3143-3179, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mariani, Marcello M. & Hashemi, Novin & Wirtz, Jochen, 2023. "Artificial intelligence empowered conversational agents: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 161(C).
    2. 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).
    3. 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).
    4. Alex Mari & Andreina Mandelli & René Algesheimer, 2023. "Shopping with Voice Assistants: How Empathy Affects Individual and Family Decision-Making Outcomes," Working Papers 399, University of Zurich, Department of Business Administration (IBW).
    5. Flavián, Carlos & Ibáñez-Sánchez, Sergio & Orús, Carlos, 2021. "The influence of scent on virtual reality experiences: The role of aroma-content congruence," Journal of Business Research, Elsevier, vol. 123(C), pages 289-301.
    6. Li, Menglin & Jin, Yufang & Zhang, Jurui & Liu, Raymond, 2022. "Does shape in backgrounds matter? Effects of Shape–Taste congruence on product evaluations," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    7. Li, Chia-Ying & Fang, Yu-Hui & Chiang, Yu-Hung, 2023. "Can AI chatbots help retain customers? An integrative perspective using affordance theory and service-domain logic," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    8. Guo, Wenshan & Luo, Qiangqiang, 2023. "Investigating the impact of intelligent personal assistants on the purchase intentions of Generation Z consumers: The moderating role of brand credibility," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    9. Maria Vernuccio & Michela Patrizi & Maja Šerić & Alberto Pastore, 2023. "The perceptual antecedents of brand anthropomorphism in the name-brand voice assistant context," Journal of Brand Management, Palgrave Macmillan, vol. 30(4), pages 302-317, July.
    10. Beeler, Lisa & Zablah, Alex R. & Rapp, Adam, 2022. "Ability is in the eye of the beholder: How context and individual factors shape consumer perceptions of digital assistant ability," Journal of Business Research, Elsevier, vol. 148(C), pages 33-46.
    11. Kang, Weiyao & Shao, Bingjia, 2023. "The impact of voice assistants’ intelligent attributes on consumer well-being: Findings from PLS-SEM and fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    12. Kautish, Pradeep & Purohit, Sonal & Filieri, Raffaele & Dwivedi, Yogesh K., 2023. "Examining the role of consumer motivations to use voice assistants for fashion shopping: The mediating role of awe experience and eWOM," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    13. Zhang, Yaqiong & Wang, Shifu, 2023. "The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    14. Chen Yang & Jing Hu, 2022. "When do consumers prefer AI-enabled customer service? The interaction effect of brand personality and service provision type on brand attitudes and purchase intentions," Journal of Brand Management, Palgrave Macmillan, vol. 29(2), pages 167-189, March.
    15. Maduku, Daniel K. & Mpinganjira, Mercy & Rana, Nripendra P. & Thusi, Philile & Ledikwe, Aobakwe & Mkhize, Njabulo Happy-boy, 2023. "Assessing customer passion, commitment, and word-of-mouth intentions in digital assistant usage: The moderating role of technology anxiety," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    16. Sara Poggesi & Michela Mari & Arash Kamangar & Pinalba Schilleci, 2022. "The Role of Virtual Environment in Online Retailing: State of the Art and Research Challenges," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    17. Maroufkhani, Parisa & Asadi, Shahla & Ghobakhloo, Morteza & Jannesari, Milad T. & Ismail, Wan Khairuzaman Wan, 2022. "How do interactive voice assistants build brands' loyalty?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    18. Huang, Yu-Shan (Sandy) & Dootson, Paula, 2022. "Chatbots and service failure: When does it lead to customer aggression," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    19. Cuny, Caroline & Petit, Cécile & Allain, Gaël, 2021. "Capturing implicit texture–flavour associations to predict consumers’ new product preferences," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    20. Abhijit Guha & Timna Bressgott & Dhruv Grewal & Dominik Mahr & Martin Wetzels & Elisa Schweiger, 2023. "How artificiality and intelligence affect voice assistant evaluations," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 843-866, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02244-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.