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Exploring the role of personality, trust, and privacy in customer experience performance during voice shopping: Evidence from SEM and fuzzy set qualitative comparative analysis

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  • Bawack, Ransome Epie
  • Wamba, Samuel Fosso
  • Carillo, Kevin Daniel André

Abstract

Voice shopping is becoming increasingly popular among consumers due to the ubiquitous presence of artificial intelligence (AI)-based voice assistants in our daily lives. This study explores how personality, trust, privacy concerns, and prior experiences affect customer experience performance perceptions and the combinations of these factors that lead to high customer experience performance. Goldberg’s Big Five Factors of personality, a contextualized theory of reasoned action (TRA-privacy), and recent literature on customer experience are used to develop and propose a conceptual research model. The model was tested using survey data from 224 US-based voice shoppers. The data were analyzed using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). PLS-SEM revealed that trust and privacy concerns mediate the relationship between personality (agreeableness, emotional instability, and conscientiousness) and voice shoppers’ perceptions of customer experience performance. FsQCA reveals the combinations of these factors that lead to high perceptions of customer experience performance. This study contributes to voice shopping literature, which is a relatively understudied area of e-commerce research yet an increasingly popular shopping method.

Suggested Citation

  • Bawack, Ransome Epie & Wamba, Samuel Fosso & Carillo, Kevin Daniel André, 2021. "Exploring the role of personality, trust, and privacy in customer experience performance during voice shopping: Evidence from SEM and fuzzy set qualitative comparative analysis," International Journal of Information Management, Elsevier, vol. 58(C).
  • Handle: RePEc:eee:ininma:v:58:y:2021:i:c:s0268401221000025
    DOI: 10.1016/j.ijinfomgt.2021.102309
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    Cited by:

    1. Kumar, Aman & Shankar, Amit & Nayal, Preeti, 2024. "Metaverse is not my cup of tea! An investigation into how personality traits shape metaverse usage intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    2. Badghish, Saeed & Shaik, Aqueeb Sohail & Sahore, Nidhi & Srivastava, Shalini & Masood, Ayesha, 2024. "Can transactional use of AI-controlled voice assistants for service delivery pickup pace in the near future? A social learning theory (SLT) perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    3. Li, Jin & Zhang, Yulan & Mou, Jian, 2023. "Understanding information disclosures and privacy sensitivity on short-form video platforms: An empirical investigation," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    4. Shi, Xiaoxiao & Evans, Richard & Shan, Wei, 2022. "Solver engagement in online crowdsourcing communities: The roles of perceived interactivity, relationship quality and psychological ownership," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. Böhm, Eva & Eggert, Andreas & Garnefeld, Ina & Holzmüller, Hartmut H. & Schaefers, Tobias & Steinhoff, Lena & Woisetschläger, David M., 2022. "Exploring the Customer Journey of Voice Commerce: A Research Agenda," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 6(4), pages 216-231.
    6. Rongbin Yang & Santoso Wibowo, 2022. "User trust in artificial intelligence: A comprehensive conceptual framework," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2053-2077, December.
    7. Oliveira, Guilherme Gouvea de & Lizarelli, Fabiane Letícia & Teixeira, Jorge Grenha & Mendes, Glauco Henrique de Sousa, 2023. "Curb your enthusiasm: Examining the customer experience with Alexa and its marketing outcomes," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    8. 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).
    9. René Riedl, 2022. "Is trust in artificial intelligence systems related to user personality? Review of empirical evidence and future research directions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2021-2051, December.
    10. Shirie Pui Shan Ho & Amy Wong, 2023. "The role of customer personality in premium banking services," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(2), pages 285-305, June.
    11. Alzaidi, Maram Saeed & Agag, Gomaa, 2022. "The role of trust and privacy concerns in using social media for e-retail services: The moderating role of COVID-19," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    12. Marikyan, Davit & Papagiannidis, Savvas & Rana, Omer F. & Ranjan, Rajiv & Morgan, Graham, 2022. "“Alexa, let’s talk about my productivity”: The impact of digital assistants on work productivity," Journal of Business Research, Elsevier, vol. 142(C), pages 572-584.
    13. Roy, Sanjit K. & Singh, Gaganpreet & Sadeque, Saalem & Gruner, Richard L., 2024. "Customer experience quality with social robots: Does trust matter?," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    14. 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).
    15. Marzi, Giacomo & Fakhar Manesh, Mohammad & Caputo, Andrea & Pellegrini, Massimiliano Matteo & Vlačić, Božidar, 2023. "Do or do not. Cognitive configurations affecting open innovation adoption in SMEs," Technovation, Elsevier, vol. 119(C).

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