IDEAS home Printed from https://ideas.repec.org/a/igg/rmj000/v25y2012i3p30-60.html
   My bibliography  Save this article

Prevent/Control Identity Theft: Impact on Trust and Consumers’ Purchase Intention in B2C EC

Author

Listed:
  • Mahmud A. Shareef

    (North South University, Bangladesh)

  • Vinod Kumar

    (Carleton University, Canada)

Abstract

This study provides an application framework toward measures to prevent/control identity theft in conjunction with sources. It also identifies the impact of overall protection of identity theft on consumer trust, the cost of products/services, and operational performance, all of which in turn contribute to a purchase intention using E-commerce (EC). For the first objective, this study proposes a matrix of sources and measures to prevent and control identity theft. From this matrix, using knowledge from a literature review and judgment based on plausibility, the authors identify global laws, controls placed on organizations, publications to develop awareness, technical management, managerial policy, risk management tools, data management, and control over employees are the potential measuring items to prevent identity theft related to EC. A case study in banking sector through a qualitative approach was conducted to verify the proposed relations, constructs, and measuring items. For the second objective, this research paper conceptualizes a model based on literature review and validates that based on the case study in the financial sector. The model reflects the effects of preventing and controlling identity theft on the costs of products/services, operational performance, and customers’ perception of trust, which would lead to purchase intention in EC.

Suggested Citation

  • Mahmud A. Shareef & Vinod Kumar, 2012. "Prevent/Control Identity Theft: Impact on Trust and Consumers’ Purchase Intention in B2C EC," Information Resources Management Journal (IRMJ), IGI Global, vol. 25(3), pages 30-60, July.
  • Handle: RePEc:igg:rmj000:v:25:y:2012:i:3:p:30-60
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2012070102
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Shareef, Mahmud Akhter & Kumar, Vinod & Dwivedi, Yogesh K. & Kumar, Uma & Akram, Muhammad Shakaib & Raman, Ramakrishnan, 2021. "A new health care system enabled by machine intelligence: Elderly people's trust or losing self control," Technological Forecasting and Social Change, Elsevier, vol. 162(C).

    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:igg:rmj000:v:25:y:2012:i:3:p:30-60. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.