IDEAS home Printed from https://ideas.repec.org/a/igg/jesma0/v10y2018i1p13-33.html
   My bibliography  Save this article

Willingness to Pay and Disposition Toward Paying for Apps: The Influence of Application Reviews

Author

Listed:
  • Christopher P. Furner

    (Department of Management Information Systems, East Carolina University, Greenville, NC, USA)

  • Robert Zinko

    (Texas A&M University -- Central, Texas, USA)

Abstract

This article describes how mobile application adoption is growing dramatically. However, only a small proportion of mobile apps are paid for. This leads to the question: which factors dispose an individual to be willing to pay for an app? Using uncertainty reduction theory as a framework, along with transaction cost economics, this study considers several individual level, app and app review characteristics which may influence willingness to pay. An experiment is conducted using a mobile application marketplace simulator and 4 application reviews are developed which vary in terms of information quality and app utility. Also measured are several individual characteristics. Findings suggest that individuals who have a disposition toward paying for apps and those who score low in terms of mobile computing self-efficacy are willing to pay more for apps. Also, individuals are willing to pay more for hedonic apps than utilitarian apps. Finally, there is a positive relationship between both history of paying for apps and trusting disposition on disposition toward paying for apps.

Suggested Citation

  • Christopher P. Furner & Robert Zinko, 2018. "Willingness to Pay and Disposition Toward Paying for Apps: The Influence of Application Reviews," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 10(1), pages 13-33, January.
  • Handle: RePEc:igg:jesma0:v:10:y:2018:i:1:p:13-33
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJESMA.2018010102
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Trang P. Tran & Christopher P. Furner & Ilia Gugenishvili, 2022. "The Effects of Task Service Fit on Brand Loyalty: A Study of Branded Apps," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 14(1), pages 1-19, January.
    2. Robert Zinko & Paul Stolk & Zhan Furner & Brad Almond, 2020. "A picture is worth a thousand words: how images influence information quality and information load in online reviews," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 775-789, December.

    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:jesma0:v:10:y:2018:i:1:p:13-33. 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.