IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v167y2023ics0148296323005015.html
   My bibliography  Save this article

Enhancing value in customer journey by considering the (ad)option of artificial intelligence tools

Author

Listed:
  • Dhiman, Neeraj
  • Jamwal, Mohit
  • Kumar, Ajay

Abstract

Artificial intelligence(AI) technologies are revolutionizing the customer journey remarkably. Current research employsextended value-based adoption model (VAM) incorporating mediating and moderating variables to predict the adoption intentions of AI technologies. Using a structured questionnaire, 392 responses were collected and analyzed using partial least square structural equation modelling. Results showed that AI technology's usefulness, fascinating features, and trustpositively impact its value in customers' eyes. Technological anxiety related to AI dampensAI tools’ value. Making AI tools human like (anthropomorphic) do not enhance its value. This study establishes that the value associated with AI tools leads to relationship (parasocial) formation with them and itincreases the possibility of AI technologies use. Study showed that the users who have different liking towards AI tools usage (AI fans, detractors and indifferent) influence the relationship between AI tools’ value and intentions to use AI differently. The study further offers valuable theoretical and practical implications.

Suggested Citation

  • Dhiman, Neeraj & Jamwal, Mohit & Kumar, Ajay, 2023. "Enhancing value in customer journey by considering the (ad)option of artificial intelligence tools," Journal of Business Research, Elsevier, vol. 167(C).
  • Handle: RePEc:eee:jbrese:v:167:y:2023:i:c:s0148296323005015
    DOI: 10.1016/j.jbusres.2023.114142
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296323005015
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2023.114142?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. Subero-Navarro, à urea & Pelegrín-Borondo, Jorge & Reinares-Lara, Eva & Olarte-Pascual, Cristina, 2022. "Proposal for modeling social robot acceptance by retail customers: CAN model + technophobia," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    2. Se-Joon Hong & Kar Yan Tam, 2006. "Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services," Information Systems Research, INFORMS, vol. 17(2), pages 162-179, June.
    3. Hoyer, Wayne D. & Kroschke, Mirja & Schmitt, Bernd & Kraume, Karsten & Shankar, Venkatesh, 2020. "Transforming the Customer Experience Through New Technologies," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 57-71.
    4. Yuhan Ge & Qing Yuan & Yaxi Wang & Keunsoo Park, 2021. "The Structural Relationship among Perceived Service Quality, Perceived Value, and Customer Satisfaction-Focused on Starbucks Reserve Coffee Shops in Shanghai, China," Sustainability, MDPI, vol. 13(15), pages 1-19, August.
    5. Verhoef, Peter C. & Lemon, Katherine N. & Parasuraman, A. & Roggeveen, Anne & Tsiros, Michael & Schlesinger, Leonard A., 2009. "Customer Experience Creation: Determinants, Dynamics and Management Strategies," Journal of Retailing, Elsevier, vol. 85(1), pages 31-41.
    6. Prasad Naik & Chih‐Ling Tsai, 2000. "Partial least squares estimator for single‐index models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(4), pages 763-771.
    7. Jaiswal, Deepak & Kaushal, Vikrant & Kant, Rishi & Kumar Singh, Pankaj, 2021. "Consumer adoption intention for electric vehicles: Insights and evidence from Indian sustainable transportation," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    8. Ronan De Kervenoael & Alexandre Schwob & Rajibul Hasan & Yak Shu Ting, 2021. "Consumers' perceived value of healthier eating: A SEM analysis of the internalisation of dietary norms considering perceived usefulness, subjective norms, and intrinsic motivations in Singapore," Post-Print hal-03344709, HAL.
    9. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    10. Saboo, Alok R. & Kumar, V. & Ramani, Girish, 2016. "Evaluating the impact of social media activities on human brand sales," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 524-541.
    11. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    12. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    13. Bonsón Ponte, Enrique & Carvajal-Trujillo, Elena & Escobar-Rodríguez, Tomás, 2015. "Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents," Tourism Management, Elsevier, vol. 47(C), pages 286-302.
    14. Kasilingam, Dharun Lingam, 2020. "Understanding the attitude and intention to use smartphone chatbots for shopping," Technology in Society, Elsevier, vol. 62(C).
    15. Jyoti Rana & Loveleen Gaur & Gurmeet Singh & Usama Awan & Muhammad Imran Rasheed, 2021. "Reinforcing customer journey through artificial intelligence: a review and research agenda," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 17(7), pages 1738-1758, December.
    16. Zhong, Yongping & Oh, Segu & Moon, Hee Cheol, 2021. "Service transformation under industry 4.0: Investigating acceptance of facial recognition payment through an extended technology acceptance model," Technology in Society, Elsevier, vol. 64(C).
    17. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    18. Lalicic, Lidija & Weismayer, Christian, 2021. "Consumers’ reasons and perceived value co-creation of using artificial intelligence-enabled travel service agents," Journal of Business Research, Elsevier, vol. 129(C), pages 891-901.
    19. Grewal, Dhruv & Guha, Abhijit & Satornino, Cinthia B. & Schweiger, Elisa B., 2021. "Artificial intelligence: The light and the darkness," Journal of Business Research, Elsevier, vol. 136(C), pages 229-236.
    20. Pankaj Aggarwal & Ann L. McGill, 2007. "Is That Car Smiling at Me? Schema Congruity as a Basis for Evaluating Anthropomorphized Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(4), pages 468-479, June.
    21. Naik, Prasad A. & Peters, Kay, 2009. "A Hierarchical Marketing Communications Model of Online and Offline Media Synergies," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 288-299.
    22. Andrew Baker & Naveen Donthu, 2021. "Fight or flight?: Understanding customer response to CRM tactics," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 31(3), pages 318-336, July.
    23. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    24. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    25. Fernandes, Teresa & Oliveira, Elisabete, 2021. "Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption," Journal of Business Research, Elsevier, vol. 122(C), pages 180-191.
    26. Sheehan, Ben & Jin, Hyun Seung & Gottlieb, Udo, 2020. "Customer service chatbots: Anthropomorphism and adoption," Journal of Business Research, Elsevier, vol. 115(C), pages 14-24.
    27. Mike Grimsley & Anthony Meehan, 2007. "e-Government information systems: Evaluation-led design for public value and client trust," European Journal of Information Systems, Taylor & Francis Journals, vol. 16(2), pages 134-148, April.
    28. 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).
    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. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    2. 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).
    3. 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).
    4. Mark Anthony Camilleri & Ciro Troise, 2023. "Live support by chatbots with artificial intelligence: A future research agenda," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 61-80, March.
    5. Santos, Susana & Gonçalves, Helena Martins, 2021. "The consumer decision journey: A literature review of the foundational models and theories and a future perspective," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    6. 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).
    7. Nitin Upadhyay & Aakash Kamble, 2024. "Why can’t we help but love mobile banking chatbots? Perspective of stimulus-organism-response," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 855-872, September.
    8. Rizomyliotis, Ioannis & Kastanakis, Minas N. & Giovanis, Apostolos & Konstantoulaki, Kleopatra & Kostopoulos, Ioannis, 2022. "“How mAy I help you today?” The use of AI chatbots in small family businesses and the moderating role of customer affective commitment," Journal of Business Research, Elsevier, vol. 153(C), pages 329-340.
    9. Lara Stocchi & Naser Pourazad & Nina Michaelidou & Arry Tanusondjaja & Paul Harrigan, 2022. "Marketing research on Mobile apps: past, present and future," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 195-225, March.
    10. Laukkanen, Tommi, 2016. "Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking," Journal of Business Research, Elsevier, vol. 69(7), pages 2432-2439.
    11. Rohit, Kumar & Shankar, Amit & Katiyar, Gagan & Mehrotra, Ankit & Alzeiby, Ebtesam Abdullah, 2024. "Consumer engagement in chatbots and voicebots. A multiple-experiment approach in online retailing context," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    12. Nattakit Yuduang & Ardvin Kester S. Ong & Nicole B. Vista & Yogi Tri Prasetyo & Reny Nadlifatin & Satria Fadil Persada & Ma. Janice J. Gumasing & Josephine D. German & Kirstien Paola E. Robas & Thanat, 2022. "Utilizing Structural Equation Modeling–Artificial Neural Network Hybrid Approach in Determining Factors Affecting Perceived Usability of Mobile Mental Health Application in the Philippines," IJERPH, MDPI, vol. 19(11), pages 1-19, May.
    13. Julian M. Müller, 2019. "Comparing Technology Acceptance for Autonomous Vehicles, Battery Electric Vehicles, and Car Sharing—A Study across Europe, China, and North America," Sustainability, MDPI, vol. 11(16), pages 1-17, August.
    14. Alabed, Amani & Javornik, Ana & Gregory-Smith, Diana, 2022. "AI anthropomorphism and its effect on users' self-congruence and self–AI integration: A theoretical framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    15. Lin, Chiu Hui & Wu, Chih-Wen & Cheng, Yi-Han, 2015. "The empirical study of consumers' loyalty for display technology," Journal of Business Research, Elsevier, vol. 68(11), pages 2260-2265.
    16. Iaia, Lea & Leonelli, Simona & Masciarelli, Francesca & Christofi, Michael & Cooper, Sir Cary, 2022. "The malevolent side of masstige consumers’ behavior: The role of dark triad and technology propensity," Journal of Business Research, Elsevier, vol. 149(C), pages 954-966.
    17. Teng Yu & Jian Dai & Chengliang Wang, 2023. "Adoption of blended learning: Chinese university students’ perspectives," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    18. Kerstin Pezoldt & Jana Schliewe, 2012. "Akzeptanz von Self-Service-Technologien: State of the Art," Schmalenbach Journal of Business Research, Springer, vol. 64(2), pages 205-253, March.
    19. Nguyen Hong Quan & Nguyen Thi Binh & Bui Thi Ly, 2022. "Impact of smart locker use on customer satisfaction of online shoppers in Vietnam," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    20. Jeannot, Florence & Dampérat, Maud & Salvador, Marielle & El Euch Maalej, Mariem & Jongmans, Eline, 2022. "Toward a luxury restaurant renewal: Antecedents and consequences of digitalized gastronomy experiences," Journal of Business Research, Elsevier, vol. 146(C), pages 518-539.

    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:eee:jbrese:v:167:y:2023:i:c:s0148296323005015. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.