IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v49y2019icp355-365.html
   My bibliography  Save this article

Mobile apps and employee behavior: An empirical investigation of the implementation of a fleet-management app

Author

Listed:
  • Levi-Bliech, Michal
  • Kurtser, Polina
  • Pliskin, Nava
  • Fink, Lior

Abstract

Whereas implementing a mobile application (app) in support of organizational processes is quite common in contemporary organizations, only few empirical studies have investigated the impact of app implementation in an organizational context. This study explores the association between the driving behavior of employed drivers and pre-driving app use of a fleet-management app. Users can get from the app not only real-time notifications while driving but can also take advantage of a unique app capability, that more traditional driving technologies do not provide, and receive feedback about their driving before their next drive. We hypothesize that pre-driving app use is associated with reduced risky driving behavior, and that this association is mitigated by real-time notifications and enhanced by experience with the app. The supportive results of the study confirm the organizational impact of implementing a fleet-management app via better driving behavior of employees who engage in pre-driving app use.

Suggested Citation

  • Levi-Bliech, Michal & Kurtser, Polina & Pliskin, Nava & Fink, Lior, 2019. "Mobile apps and employee behavior: An empirical investigation of the implementation of a fleet-management app," International Journal of Information Management, Elsevier, vol. 49(C), pages 355-365.
  • Handle: RePEc:eee:ininma:v:49:y:2019:i:c:p:355-365
    DOI: 10.1016/j.ijinfomgt.2019.07.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401219300969
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijinfomgt.2019.07.006?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.

    Citations

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


    Cited by:

    1. Munshi Muhammad Abdul Kader Jilani & Md. Moniruzzaman & Mouri Dey & Edris Alam & Md. Aftab Uddin, 2022. "Strengthening the Trialability for the Intention to Use of mHealth Apps Amidst Pandemic: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(5), pages 1-16, 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:49:y:2019:i:c:p:355-365. 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: 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.