IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v7y2020i1p1809071.html
   My bibliography  Save this article

An examination of consumers’ adoption of internet of things (IoT) in Indian banks

Author

Listed:
  • Fatehi Almugari
  • Parul Bajaj
  • Mosab I. Tabash
  • Adil Khan
  • Mohammed Ashraf Ali

Abstract

The purpose of this study is to find out the impact of awareness, privacy & safety, cost, convenience, social influence, and habits on the adoption of IoT in Indian banks. The sample size of 467 Indian customers has been taken for the study. The Confirmatory Factor Analysis (CFA) is applied for testing the reliability and validity as well as the suitability of the questionnaire for the research. Moreover, the Structural Equation Modeling (SEM) model is used for testing the hypotheses of the study, both CFA model fit and SEM model indices are found satisfactory in comparison with recommended values. The results reveal that convenience, social influence, privacy & safety, and awareness have a significant impact on the adoption of the internet of things in Indian banks. On the other hand, the results show that cost & habits do not have an influencing impact on the adoption of IoT. The current study is an attempt to examine the adoption of the internet of things in Indian banks. In India, there is a huge scope of application of IoT in different sectors as India is aiming at being a developed country and no doubt, such kind of technology in the banking services can be a basis for it. The current paper is an attempt to help the policymakers as well as the producers of IoT objects to create that kind of service in the banks that can be easily adoptable and beneficial to the public.

Suggested Citation

  • Fatehi Almugari & Parul Bajaj & Mosab I. Tabash & Adil Khan & Mohammed Ashraf Ali, 2020. "An examination of consumers’ adoption of internet of things (IoT) in Indian banks," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1809071-180, January.
  • Handle: RePEc:taf:oabmxx:v:7:y:2020:i:1:p:1809071
    DOI: 10.1080/23311975.2020.1809071
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2020.1809071
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23311975.2020.1809071?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.

    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:taf:oabmxx:v:7:y:2020:i:1:p:1809071. 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: Chris Longhurst (email available below). General contact details of provider: http://cogentoa.tandfonline.com/OABM20 .

    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.