IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v53y2021i6p742-759.html
   My bibliography  Save this article

How technological emergence, saturation, and rejuvenation are re-shaping the e-commerce landscape and disrupting consumption? A time series analysis

Author

Listed:
  • Hany Fahmy

Abstract

Technological advancements in the ICT sector have enabled the development of online platforms that have drastically transformed the e-commerce landscape. The rise of the sharing economy is a key in point. Academics claim that this change is causing a noticeable shift in consumers’ habits from traditional towards collaborative and sharing activities due to environmental, social, and economic motives. In this article, we test the empirical validity of this hypothesis; namely, we test whether or not the recent change in e-commerce landscape is causing a permanent transition in US consumption over the last two decades by fitting a nonlinear smooth transition regression model to the cycle of US consumption with a constructed exogenous regime-driving variable that captures the various aspects of digital technology. The econometric analysis confirms the existence of a non-permanent regime switch in consumption. In particular, we show that the emergence, saturation, and rejuvenation of digital technology are causing consumption to switch between two stationary regimes. Consumption oscillates smoothly, but frequently, between both regimes in the early period (2000-2006) due to the emergence of new technologies and in the recent period (2017-2019) due to technological rejuvenation. It persists, however, in the mid period (2007-2016) due technological saturation.

Suggested Citation

  • Hany Fahmy, 2021. "How technological emergence, saturation, and rejuvenation are re-shaping the e-commerce landscape and disrupting consumption? A time series analysis," Applied Economics, Taylor & Francis Journals, vol. 53(6), pages 742-759, February.
  • Handle: RePEc:taf:applec:v:53:y:2021:i:6:p:742-759
    DOI: 10.1080/00036846.2020.1813249
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2020.1813249
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2020.1813249?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. Feifei Huang & Mingxia Lin & Shoukat Iqbal Khattak, 2024. "Form Uncertainty to Sustainable Decision-Making: A Novel MIDAS–AM–DeepAR-Based Prediction Model for E-Commerce Industry Development," Sustainability, MDPI, vol. 16(14), pages 1-24, July.

    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:applec:v:53:y:2021:i:6:p:742-759. 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://www.tandfonline.com/RAEC20 .

    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.