IDEAS home Printed from https://ideas.repec.org/a/hig/fsight/v14y2020i2p64-75.html
   My bibliography  Save this article

Interactive Applications with Artificial Intelligence: The Role of Trust among Digital Assistant Users

Author

Listed:
  • Pur Purwanto

    (Supratman University of Surabaya (Indonesia))

  • Kuswandi Kuswandi

    (Mahardhika School of Economics of Surabaya (Indonesia))

  • Fatmah Fatmah

    (Sunan Ampel University of Surabaya (Indonesia))

Abstract

People are increasingly dependent on technology. On the other hand, companies’ large-scale investments to establish an ongoing loyalty with technology platforms and ecosystems show negative results. This is due to lower trust, concerns about risk, and increasing issues of privacy. Despite the continuous development of digital assistant applications to increase interactivity, however, there is no guarantee that the concept of interactivity is capable of gaining users’ trust and addressing their concerns. The purpose of the present study was to analyze the effects of controllability, synchronicity, bidirectionality on perceived performance and user satisfaction with digital assistant applications as moderated by perceived trust. Amos 22.0 was used to analyze a sample of 150 digital assistant users of brands Samsung Bixby, Google Assistant, Apple Siri, and other brands. Results show that bidirectionality is the most worrying feature in terms of perceived performance of digital assistants related to trust and privacy protection issues of personal data, whereas the other two features contribute to perceived performance and digital assistant users’ satisfaction. Perceived trust plays a role in moderating the relationship between controllability, synchronicity bi-directionality of perceived performance. Finally, perceived performance has an effect on digital assistant users’ satisfaction.

Suggested Citation

  • Pur Purwanto & Kuswandi Kuswandi & Fatmah Fatmah, 2020. "Interactive Applications with Artificial Intelligence: The Role of Trust among Digital Assistant Users," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 14(2), pages 64-75.
  • Handle: RePEc:hig:fsight:v:14:y:2020:i:2:p:64-75
    as

    Download full text from publisher

    File URL: https://foresight-journal.hse.ru/data/2020/06/12/1605934674/5-Purwanto-64-75.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Yoo, Weon-Sang & Lee, Yunjung & Park, JungKun, 2010. "The role of interactivity in e-tailing: Creating value and increasing satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 17(2), pages 89-96.
    3. V. Kumar & Ashutosh Dixit & Rajshekar (Raj) G. Javalgi & Mayukh Dass, 2016. "Research framework, strategies, and applications of intelligent agent technologies (IATs) in marketing," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 24-45, January.
    4. Purwanto & Kuswandi, 2017. "Effects of Flexibility and Interactivity on the Perceived Value of and Satisfaction with E-Commerce (Evidence from Indonesia)," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 29(2), pages 139-159.
    5. Kumar Rakesh Ranjan & Stuart Read, 2016. "Value co-creation: concept and measurement," Journal of the Academy of Marketing Science, Springer, vol. 44(3), pages 290-315, May.
    6. Fortin, David R. & Dholakia, Ruby Roy, 2005. "Interactivity and vividness effects on social presence and involvement with a web-based advertisement," Journal of Business Research, Elsevier, vol. 58(3), pages 387-396, March.
    7. Pappas, Nikolaos, 2016. "Marketing strategies, perceived risks, and consumer trust in online buying behaviour," Journal of Retailing and Consumer Services, Elsevier, vol. 29(C), pages 92-103.
    8. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    9. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    10. Michael H. Zack, 1993. "Interactivity and Communication Mode Choice in Ongoing Management Groups," Information Systems Research, INFORMS, vol. 4(3), pages 207-239, September.
    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. Ho, Manh-Tung & Mantello, Peter & Ghotbi, Nader & Nguyen, Minh-Hoang & Nguyen, Hong-Kong T. & Vuong, Quan-Hoang, 2022. "Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection," Technology in Society, Elsevier, vol. 70(C).
    2. Ayat Sami ODEIBAT, 2021. "The Effect Of Technology Evolution On The Future Of Jobs," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 17, pages 57-67, June.

    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. Purwanto & Kuswandi, 2017. "Effects of Flexibility and Interactivity on the Perceived Value of and Satisfaction with E-Commerce (Evidence from Indonesia)," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 29(2), pages 139-159.
    2. Yoo, Weon-Sang & Lee, Yunjung & Park, JungKun, 2010. "The role of interactivity in e-tailing: Creating value and increasing satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 17(2), pages 89-96.
    3. Mulcahy, Rory Francis & Riedel, Aimee S., 2020. "‘Touch it, swipe it, shake it’: Does the emergence of haptic touch in mobile retailing advertising improve its effectiveness?," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    4. Ahmed Ibrahim Alzahrani & T. Ramayah & Nalini Suppiah & Osama Alfarraj & Nasser Alalwan, 2020. "Modeling Blog Usage From a Developing Country Perspective Using Structural Equation Modeling (SEM)," SAGE Open, , vol. 10(3), pages 21582440209, July.
    5. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    6. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    7. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    8. Morteza Ghobakhloo & Masood Fathi, 2019. "Modeling the Success of Application-Based Mobile Banking," Economies, MDPI, vol. 7(4), pages 1-21, November.
    9. Park, Minjung & Yoo, Jungmin, 2020. "Effects of perceived interactivity of augmented reality on consumer responses: A mental imagery perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    10. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    11. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    12. Kapser, Sebastian & Abdelrahman, Mahmoud & Bernecker, Tobias, 2021. "Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 183-198.
    13. Nasser Hamidi & Tahmineh Torabi Rad & Alireza Jahany, 2012. "Evaluation Of Factors Influencing Tendency Towards E- Banking In Bank Customers," Far East Journal of Marketing and Management, Far East Research Centre, vol. 2(3), pages 25-42, August.
    14. Javornik, Ana, 2016. "Augmented reality: Research agenda for studying the impact of its media characteristics on consumer behaviour," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 252-261.
    15. Oh, Haemoon & Jeong, Miyoung & Baloglu, Seyhmus, 2013. "Tourists' adoption of self-service technologies at resort hotels," Journal of Business Research, Elsevier, vol. 66(6), pages 692-699.
    16. Dahlberg, Tomi & Öörni, Anssi, 2006. "Finnish consumers' expectations on developments and changes in payment habits : survey in connection with the research project "Finnish payment habits 2010"," Research Discussion Papers 32/2006, Bank of Finland.
    17. Arijit Bhattacharya & Manjari Srivastava, 2020. "A Framework of Online Customer Experience: An Indian Perspective," Global Business Review, International Management Institute, vol. 21(3), pages 800-817, June.
    18. Sang Soo Kim, 2020. "Purchase Intention in the Online Open Market: Do Concerns for E-Commerce Really Matter?," Sustainability, MDPI, vol. 12(3), pages 1-21, January.
    19. Quaglione, Davide & Crociata, Alessandro & Agovino, Massimiliano & Iaia, Lea, 2020. "Cultural capital and online purchase of tourism services," Annals of Tourism Research, Elsevier, vol. 80(C).
    20. Hwang, Angel Hsing-Chi & Oh, Jeeyun, 2020. "Interacting with background music engages E-Customers more: The impact of interactive music on consumer perception and behavioral intention," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).

    More about this item

    Keywords

    artificial intelligence; digital assistants; digital services; interactivity; technology innovation; perceived trust; perceived performance; satisfaction;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:hig:fsight:v:14:y:2020:i:2:p:64-75. 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: Nataliya Gavrilicheva or Mikhail Salazkin (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .

    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.