IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v45y2019icp44-55.html
   My bibliography  Save this article

The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value

Author

Listed:
  • Shaw, Norman
  • Sergueeva, Ksenia

Abstract

Consumers can conduct mobile commerce via their smartphones. They can search for products and when ready, they pay and have the products delivered to their homes. By sharing personal information, they receive faster and more customized service. Because of the risk of loss of privacy, consumers need to balance their privacy concerns against the perceived value of enhanced mobile commerce. In this empirical study, the unified theory of acceptance and use of technology (UTAUT2) is modified where perceived value replaces price value to represent the value of an IT artifact that has no direct costs attributable to it. The framework is extended to include constructs from the privacy calculus. In addition, the construct of personal innovativeness is added as a moderator with the anticipation that owners of smartphones who are more personally innovative will be more willing to share information. From an empirical study of Canadian smartphone owners, the results show that perceived privacy concerns influence perceived value and that intention to use is significantly influenced by hedonic motivation and perceived value.

Suggested Citation

  • Shaw, Norman & Sergueeva, Ksenia, 2019. "The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value," International Journal of Information Management, Elsevier, vol. 45(C), pages 44-55.
  • Handle: RePEc:eee:ininma:v:45:y:2019:i:c:p:44-55
    DOI: 10.1016/j.ijinfomgt.2018.10.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401217310022
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijinfomgt.2018.10.024?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. Shareef, Mahmud Akhter & Dwivedi, Yogesh K. & Kumar, Vinod & Kumar, Uma, 2017. "Content design of advertisement for consumer exposure: Mobile marketing through short messaging service," International Journal of Information Management, Elsevier, vol. 37(4), pages 257-268.
    2. 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.
    3. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    4. Pauline Patnasingam & David Gefen & Paul A. Pavlou, 2005. "The Role of Facilitating Conditions and Institutional Trust in Electronic Marketplaces," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 3(3), pages 69-82, July.
    5. R. P. Sundarraj & Nick Manochehri, 2011. "Application of an Extended TAM Model for Online Banking Adoption: A Study at a Gulf-region University," Information Resources Management Journal (IRMJ), IGI Global, vol. 24(1), pages 1-13, January.
    6. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    7. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    8. Wang, Tien & Duong, Trong Danh & Chen, Charlie C., 2016. "Intention to disclose personal information via mobile applications: A privacy calculus perspective," International Journal of Information Management, Elsevier, vol. 36(4), pages 531-542.
    9. Brian P. Cozzarin & Stanko Dimitrov, 2016. "Mobile commerce and device specific perceived risk," Electronic Commerce Research, Springer, vol. 16(3), pages 335-354, September.
    10. Mary J. Culnan & Pamela K. Armstrong, 1999. "Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation," Organization Science, INFORMS, vol. 10(1), pages 104-115, February.
    11. Martins, Carolina & Oliveira, Tiago & Popovič, Aleš, 2014. "Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application," International Journal of Information Management, Elsevier, vol. 34(1), pages 1-13.
    12. Alalwan, Ali Abdallah & Dwivedi, Yogesh K. & Rana, Nripendra P., 2017. "Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust," International Journal of Information Management, Elsevier, vol. 37(3), pages 99-110.
    13. Groß, Michael, 2016. "Impediments to mobile shopping continued usage intention: A trust-risk-relationship," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 109-119.
    14. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 0. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    15. Aijaz A. Shaikh & Richard Glavee-Geo & Heikki Karjaluoto, 2018. "How Relevant Are Risk Perceptions, Effort, and Performance Expectancy in Mobile Banking Adoption?," International Journal of E-Business Research (IJEBR), IGI Global, vol. 14(2), pages 39-60, April.
    16. Koo, Chulmo & Chung, Namho & Nam, Kichan, 2015. "Assessing the impact of intrinsic and extrinsic motivators on smart green IT device use: Reference group perspectives," International Journal of Information Management, Elsevier, vol. 35(1), pages 64-79.
    17. Amoroso, Donald & Lim, Ricardo, 2017. "The mediating effects of habit on continuance intention," International Journal of Information Management, Elsevier, vol. 37(6), pages 693-702.
    18. Oliveira, Tiago & Faria, Miguel & Thomas, Manoj Abraham & Popovič, Aleš, 2014. "Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM," International Journal of Information Management, Elsevier, vol. 34(5), pages 689-703.
    19. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    20. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    21. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    22. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    23. Liao, Chechen & Palvia, Prashant & Lin, Hong-Nan, 2006. "The roles of habit and web site quality in e-commerce," International Journal of Information Management, Elsevier, vol. 26(6), pages 469-483.
    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. Hossain, Akram & Quaresma, Rui & Rahman, Habibur, 2019. "Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study," International Journal of Information Management, Elsevier, vol. 44(C), pages 76-87.
    2. Baabdullah, Abdullah M. & Alalwan, Ali Abdallah & Rana, Nripendra P. & Kizgin, Hatice & Patil, Pushp, 2019. "Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model," International Journal of Information Management, Elsevier, vol. 44(C), pages 38-52.
    3. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    4. Malaquias, Rodrigo F. & Hwang, Yujong, 2019. "Mobile banking use: A comparative study with Brazilian and U.S. participants," International Journal of Information Management, Elsevier, vol. 44(C), pages 132-140.
    5. Baillette, Paméla & Barlette, Yves & Leclercq-Vandelannoitte, Aurélie, 2018. "Bring your own device in organizations: Extending the reversed IT adoption logic to security paradoxes for CEOs and end users," International Journal of Information Management, Elsevier, vol. 43(C), pages 76-84.
    6. Chin, Amita Goyal & Harris, Mark A. & Brookshire, Robert, 2018. "A bidirectional perspective of trust and risk in determining factors that influence mobile app installation," International Journal of Information Management, Elsevier, vol. 39(C), pages 49-59.
    7. Simarpreet Kaur & Sangeeta Arora, 2023. "Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 74-98, March.
    8. Sumeet Gupta & Haejung Yun & Heng Xu & Hee-Woong Kim, 2017. "An exploratory study on mobile banking adoption in Indian metropolitan and urban areas: a scenario-based experiment," Information Technology for Development, Taylor & Francis Journals, vol. 23(1), pages 127-152, January.
    9. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    10. Rouven-B. Wiegard & Michael H. Breitner, 2019. "Smart services in healthcare: A risk-benefit-analysis of pay-as-you-live services from customer perspective in Germany," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 107-123, March.
    11. Alraja, Mansour, 2022. "Frontline healthcare providers’ behavioural intention to Internet of Things (IoT)-enabled healthcare applications: A gender-based, cross-generational study," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    12. Iviane Ramos-de-Luna & Francisco Montoro-Ríos & Francisco Liébana-Cabanillas, 2016. "Determinants of the intention to use NFC technology as a payment system: an acceptance model approach," Information Systems and e-Business Management, Springer, vol. 14(2), pages 293-314, May.
    13. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    14. Camilleri, Mark Anthony & Camilleri, Adriana Caterina, 2022. "Remote learning via video conferencing technologies: Implications for research and practice," Technology in Society, Elsevier, vol. 68(C).
    15. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 0. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    16. Weiyin Hong & Frank K. Y. Chan & James Y. L. Thong & Lewis C. Chasalow & Gurpreet Dhillon, 2014. "A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research," Information Systems Research, INFORMS, vol. 25(1), pages 111-136, March.
    17. Haque, Md Ziaul & Qian, Aimin & Hoque, Md Rakibul & Lucky, Suraiea Akter, 2022. "A unified framework for exploring the determinants of online social networks (OSNs) on institutional investors’ capital market investment decision," Technology in Society, Elsevier, vol. 70(C).
    18. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    19. Mehra, Aashish & Rajput, Sneha & Paul, Justin, 2022. "Determinants of adoption of latest version smartphones: Theory and evidence," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    20. Amita Goyal Chin & Mark A. Harris & Robert Brookshire, 2022. "An Empirical Investigation of Intent to Adopt Mobile Payment Systems Using a Trust-based Extended Valence Framework," Information Systems Frontiers, Springer, vol. 24(1), pages 329-347, February.

    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:ininma:v:45:y:2019:i:c:p:44-55. 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: https://www.journals.elsevier.com/international-journal-of-information-management .

    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.