IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v59y2006i8p877-886.html
   My bibliography  Save this article

Understanding online B-to-C relationships: An integrated model of privacy concerns, trust, and commitment

Author

Listed:
  • Eastlick, Mary Ann
  • Lotz, Sherry L.
  • Warrington, Patricia

Abstract

No abstract is available for this item.

Suggested Citation

  • Eastlick, Mary Ann & Lotz, Sherry L. & Warrington, Patricia, 2006. "Understanding online B-to-C relationships: An integrated model of privacy concerns, trust, and commitment," Journal of Business Research, Elsevier, vol. 59(8), pages 877-886, August.
    • Handle: RePEc:eee:jbrese:v:59:y:2006:i:8:p:877-886
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148-2963(06)00071-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Van den Poel, Dirk & Leunis, Joseph, 1999. "Consumer Acceptance of the Internet as a Channel of Distribution," Journal of Business Research, Elsevier, vol. 45(3), pages 249-256, July.
    2. 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.
    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. Cheng, Junjun & Chen, Bo & Huang, Zihang, 2023. "Collective-based ad transparency in targeted hotel advertising: Consumers’ regulatory focus underlying the crowd safety effect," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    2. Corey Angst, 2009. "Protect My Privacy or Support the Common-Good? Ethical Questions About Electronic Health Information Exchanges," Journal of Business Ethics, Springer, vol. 90(2), pages 169-178, November.
    3. Jabbar, Abdul & Geebren, Ahmed & Hussain, Zahid & Dani, Samir & Ul-Durar, Shajara, 2023. "Investigating individual privacy within CBDC: A privacy calculus perspective," Research in International Business and Finance, Elsevier, vol. 64(C).
    4. Carlo Pugnetti & Johannes Becker & Cristian Zani, 2022. "Do Customers Want to Communicate with Insurers on Social Media? An Investigation of the Swiss Market," IJFS, MDPI, vol. 10(4), pages 1-14, December.
    5. Grace Fox & Lisa van der Werff & Pierangelo Rosati & Patricia Takako Endo & Theo Lynn, 2022. "Examining the determinants of acceptance and use of mobile contact tracing applications in Brazil: An extended privacy calculus perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(7), pages 944-967, July.
    6. Jong Uk Kim & Rajiv Kishore, 2019. "Do we Fully Understand Information Systems Failure? An Exploratory Study of the Cognitive Schema of IS Professionals," Information Systems Frontiers, Springer, vol. 21(6), pages 1385-1419, December.
    7. Tang, Wei & Mokhtarian, Patricia L, 2009. "Accounting for Taste Heterogeneity in Purchase Channel Intention Modeling: An Example from Northern California for Book Purchases," Institute of Transportation Studies, Working Paper Series qt9mg5s5g8, Institute of Transportation Studies, UC Davis.
    8. Renata Benigna Gonçalves & Júlio César Bastos Figueiredo, 2022. "Effects of perceived risks and benefits in the formation of the consumption privacy paradox: a study of the use of wearables in people practicing physical activities," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1485-1499, September.
    9. Cecere, Grazia & Le Guel, Fabrice & Soulié, Nicolas, 2012. "Perceived Internet privacy concerns on social network in Europe," MPRA Paper 41437, University Library of Munich, Germany.
    10. Cecere, Grazia & Rochelandet, Fabrice, 2013. "Privacy intrusiveness and web audiences: Empirical evidence," Telecommunications Policy, Elsevier, vol. 37(10), pages 1004-1014.
    11. Michael Breward & Khaled Hassanein & Milena Head, 2017. "Understanding Consumers’ Attitudes Toward Controversial Information Technologies: A Contextualization Approach," Information Systems Research, INFORMS, vol. 28(4), pages 760-774, December.
    12. Idris Adjerid & Alessandro Acquisti & George Loewenstein, 2019. "Choice Architecture, Framing, and Cascaded Privacy Choices," Management Science, INFORMS, vol. 67(5), pages 2267-2290, May.
    13. Pallant, Jason I. & Pallant, Jessica L. & Sands, Sean J. & Ferraro, Carla R. & Afifi, Eslam, 2022. "When and how consumers are willing to exchange data with retailers: An exploratory segmentation," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    14. Pagani, Margherita & Racat, Margot & Hofacker, Charles F., 2019. "Adding Voice to the Omnichannel and How that Affects Brand Trust," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 89-105.
    15. 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.
    16. Saghiri, Soroosh & Wilding, Richard & Mena, Carlos & Bourlakis, Michael, 2017. "Toward a three-dimensional framework for omni-channel," Journal of Business Research, Elsevier, vol. 77(C), pages 53-67.
    17. Lu Xu & Yanhui Li & Qi Yao, 2022. "Information security investment and purchase decision for personalized products," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2619-2635, September.
    18. Tawfiq Alashoor & Mark Keil & H. Jeff Smith & Allen R. McConnell, 2023. "Too Tired and in Too Good of a Mood to Worry About Privacy: Explaining the Privacy Paradox Through the Lens of Effort Level in Information Processing," Information Systems Research, INFORMS, vol. 34(4), pages 1415-1436, December.
    19. Joey van Angeren & Govert Vroom & Brian T. McCann & Ksenia Podoynitsyna & Fred Langerak, 2022. "Optimal distinctiveness across revenue models: Performance effects of differentiation of paid and free products in a mobile app market," Strategic Management Journal, Wiley Blackwell, vol. 43(10), pages 2066-2100, October.
    20. 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.

    More about this item

    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:eee:jbrese:v:59:y:2006:i:8:p:877-886. 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.