IDEAS home Printed from https://ideas.repec.org/a/spr/infsem/v17y2019i1d10.1007_s10257-018-0375-1.html
   My bibliography  Save this article

Understanding user behavior of virtual personal assistant devices

Author

Listed:
  • Heetae Yang

    (Science and Technology Policy Institute)

  • Hwansoo Lee

    (Dankook University)

Abstract

With the development of artificial intelligence technology, the market for virtual personal assistant (VPA) devices is emerging as a new battleground for global information technology companies. This study develops a comprehensive research model, based on perceived value theory, to explain potential customers’ intentions to adopt and use VPA devices. It investigates the relationship between perceived usefulness, perceived enjoyment, and product-related characteristics (i.e., portability, automation, and visual attractiveness). The research model and hypotheses are evaluated through Partial least squares analysis, using 313 survey samples. The results show that perceived usefulness and enjoyment have a significant impact on usage intention. Among the three constructs reflecting software- and hardware-based utilitarian value, content quality has the strongest impact on perceived usefulness. From the perspective of hedonic value, content quality, which is also a utilitarian attribute of VPA devices, and visual attractiveness positively affect perceived enjoyment. This study concludes by discussing implications and offering useful suggestions for academia and practice.

Suggested Citation

  • Heetae Yang & Hwansoo Lee, 2019. "Understanding user behavior of virtual personal assistant devices," Information Systems and e-Business Management, Springer, vol. 17(1), pages 65-87, March.
  • Handle: RePEc:spr:infsem:v:17:y:2019:i:1:d:10.1007_s10257-018-0375-1
    DOI: 10.1007/s10257-018-0375-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10257-018-0375-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10257-018-0375-1?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. Paul Jen‐Hwa Hu & Chienting Lin & Hsinchun Chen, 2005. "User acceptance of Intelligence and Security Informatics technology: A study of COPLINK," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(3), pages 235-244, February.
    2. Teo, Thompson S. H. & Lim, Vivien K. G. & Lai, Raye Y. C., 1999. "Intrinsic and extrinsic motivation in Internet usage," Omega, Elsevier, vol. 27(1), pages 25-37, February.
    3. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    4. Babin, Barry J & Darden, William R & Griffin, Mitch, 1994. "Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(4), pages 644-656, March.
    5. Zoran Kalinic & Veljko Marinkovic, 2016. "Determinants of users’ intention to adopt m-commerce: an empirical analysis," Information Systems and e-Business Management, Springer, vol. 14(2), pages 367-387, May.
    6. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    7. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    8. Mohd Suki, Norazah & Mohd Suki, Norbayah, 2017. "Flight ticket booking app on mobile devices: Examining the determinants of individual intention to use," Journal of Air Transport Management, Elsevier, vol. 62(C), pages 146-154.
    9. Wannasiri Bhuasiri & Hangjung Zo & Hwansoo Lee & Andrew P. Ciganek, 2016. "User Acceptance of e-government Services: Examining an e-tax Filing and Payment System in Thailand," Information Technology for Development, Taylor & Francis Journals, vol. 22(4), pages 672-695, October.
    10. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    11. Sheth, Jagdish N. & Newman, Bruce I. & Gross, Barbara L., 1991. "Why we buy what we buy: A theory of consumption values," Journal of Business Research, Elsevier, vol. 22(2), pages 159-170, March.
    12. Heetae Yang & Hwansoo Lee, 0. "Exploring user acceptance of streaming media devices: an extended perspective of flow theory," Information Systems and e-Business Management, Springer, vol. 0, pages 1-27.
    13. Overby, Jeffrey W. & Lee, Eun-Ju, 2006. "The effects of utilitarian and hedonic online shopping value on consumer preference and intentions," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1160-1166, October.
    14. Ehrenhard, Michel & Kijl, Bjorn & Nieuwenhuis, Lambert, 2014. "Market adoption barriers of multi-stakeholder technology: Smart homes for the aging population," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 306-315.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Savvas Papagiannidis & Dinara Davlembayeva, 2022. "Bringing Smart Home Technology to Peer-to-Peer Accommodation: Exploring the Drivers of Intention to Stay in Smart Accommodation," Information Systems Frontiers, Springer, vol. 24(4), pages 1189-1208, August.
    2. Park, Jeongeun & Yang, Donguk & Kim, Ha Young, 2023. "Text mining-based four-step framework for smart speaker product improvement and sales planning," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    3. 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.
    4. Ioannis Krasonikolakis & Adam Vrechopoulos & Sergios Dimitriadis & Nancy Pouloudi, 2021. "User perceptions of 3D online store designs: an experimental investigation," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1321-1354, December.
    5. Vlačić, Božidar & Corbo, Leonardo & Costa e Silva, Susana & Dabić, Marina, 2021. "The evolving role of artificial intelligence in marketing: A review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 187-203.
    6. Sánchez-Franco, Manuel J. & Arenas-Márquez, Francisco J. & Alonso-Dos-Santos, Manuel, 2021. "Using structural topic modelling to predict users’ sentiment towards intelligent personal agents. An application for Amazon’s echo and Google Home," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    7. Chun Lei & Md Sazzad Hossain & Elise Wong, 2023. "Determinants of Repurchase Intentions of Hospitality Services Delivered by Artificially Intelligent (AI) Service Robots," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    8. Christine Rzepka & Benedikt Berger & Thomas Hess, 2022. "Voice Assistant vs. Chatbot – Examining the Fit Between Conversational Agents’ Interaction Modalities and Information Search Tasks," Information Systems Frontiers, Springer, vol. 24(3), pages 839-856, June.
    9. 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.
    10. María Consuelo Sáiz-Manzanares & Raúl Marticorena-Sánchez & Javier Ochoa-Orihuel, 2020. "Effectiveness of Using Voice Assistants in Learning: A Study at the Time of COVID-19," IJERPH, MDPI, vol. 17(15), pages 1-20, August.
    11. Younghoon Chang & Siew Fan Wong & Christian Fernando Libaque-Saenz & Hwansoo Lee, 2019. "e-Commerce Sustainability: The Case of Pinduoduo in China," Sustainability, MDPI, vol. 11(15), pages 1-23, July.
    12. Hyeon Jo & Eun-Mi Baek, 2023. "Customization, loneliness, and optimism: drivers of intelligent personal assistant continuance intention during COVID-19," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    13. Yohan Wismantoro & Vincent Didiek Wiet Aryanto & Imang Dapit Pamungkas & Nanda Adhi Purusa & Amron & Amalia Nur Chasanah & Usman, 2022. "Virtual Reality Destination Experiences Model: A Moderating Variable between Wisesa Sustainable Tourism Behavior and Tourists’ Intention to Visit," Sustainability, MDPI, vol. 15(1), pages 1-13, December.

    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. Yeh, Ching-Hsuan & Wang, Yi-Shun & Yieh, Kaili, 2016. "Predicting smartphone brand loyalty: Consumer value and consumer-brand identification perspectives," International Journal of Information Management, Elsevier, vol. 36(3), pages 245-257.
    2. 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).
    3. Yang, Feng & Tang, Jing & Men, Jinqi & Zheng, Xiabing, 2021. "Consumer perceived value and impulse buying behavior on mobile commerce: The moderating effect of social influence," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    4. Hsu, Sheila Hsuan-Yu & Tsou, Hung-Tai & Chen, Ja-Shen, 2021. "“Yes, we do. Why not use augmented reality?†customer responses to experiential presentations of AR-based applications," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    5. Carlson, Jamie & Rahman, Mohammad M. & Taylor, Alexander & Voola, Ranjit, 2019. "Feel the VIBE: Examining value-in-the-brand-page-experience and its impact on satisfaction and customer engagement behaviours in mobile social media," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 149-162.
    6. Muthaffar, Aisha & Vilches-Montero, Sonia, 2023. "Empowering retailers: A bounded rationality perspective to enhancing omnichannel journey satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    7. Carlson, Jamie & O’Cass, Aron & Ahrholdt, Dennis, 2015. "Assessing customers’ perceived value of the online channel of multichannel retailers: A two country examination," Journal of Retailing and Consumer Services, Elsevier, vol. 27(C), pages 90-102.
    8. Mencarelli, Rémi & Lombart, Cindy, 2017. "Influences of the perceived value on actual repurchasing behavior: Empirical exploration in a retailing context," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 12-21.
    9. Fosso Wamba, Samuel & Bhattacharya, Mithu & Trinchera, Laura & Ngai, Eric W.T., 2017. "Role of intrinsic and extrinsic factors in user social media acceptance within workspace: Assessing unobserved heterogeneity," International Journal of Information Management, Elsevier, vol. 37(2), pages 1-13.
    10. Stephanie Schwipper & Severine Peche & Gertrud Schmitz, 2020. "Mobile Location-Based Services’ Value-in-Use in Inner Cities: Do a Customer’s Shopping Patterns, Prior User Experience, and Sales Promotions Matter?," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(4), pages 511-564, October.
    11. Yi-Man Teng & Kun-Shan Wu, 2019. "Sustainability Development in Hospitality: The Effect of Perceived Value on Customers’ Green Restaurant Behavioral Intention," Sustainability, MDPI, vol. 11(7), pages 1-13, April.
    12. Collier, Joel E. & Barnes, Donald C., 2015. "Self-service delight: Exploring the hedonic aspects of self-service," Journal of Business Research, Elsevier, vol. 68(5), pages 986-993.
    13. Aurelio Scaglione & Daria Mendola, 2017. "Measuring the perceived value of rural tourism: a field survey in the western Sicilian agritourism sector," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 745-763, March.
    14. Hee-Woong Kim & Hock Chuan Chan & Atreyi Kankanhalli, 2012. "What Motivates People to Purchase Digital Items on Virtual Community Websites? The Desire for Online Self-Presentation," Information Systems Research, INFORMS, vol. 23(4), pages 1232-1245, December.
    15. Kim, Jina & Park, Eunil, 2019. "Beyond coolness: Predicting the technology adoption of interactive wearable devices," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 114-119.
    16. Verhagen. T. & Feldberg, F. & Hooff, B. van den, 2008. "Explaining user adoption of virtual worlds: towards a multipurpose Explaining user adoption of virtual worlds: towards a multipurpose motivational model," Serie Research Memoranda 0006, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    17. Karjaluoto, Heikki & Jayawardhena, Chanaka & Leppäniemi, Matti & Pihlström, Minna, 2012. "How value and trust influence loyalty in wireless telecommunications industry," Telecommunications Policy, Elsevier, vol. 36(8), pages 636-649.
    18. Guo, Yuanyuan & Zhang, Kexin & Wang, Chaoyou, 2022. "Way to success: Understanding top streamer's popularity and influence from the perspective of source characteristics," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    19. Dastane, Omkar & Goi, Chai Lee & Rabbanee, Fazlul, 2023. "The development and validation of a scale to measure perceived value of mobile commerce (MVAL-SCALE)," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    20. Rémi Mencarelli & Carole Lombart, 2017. "Influences of the perceived value on actual repurchasing behavior: Empirical exploration in a retailing context," Post-Print hal-01592035, HAL.

    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:spr:infsem:v:17:y:2019:i:1:d:10.1007_s10257-018-0375-1. 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: http://www.springer.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.