IDEAS home Printed from https://ideas.repec.org/a/ine/journl/v56y2023i65p64-87.html
   My bibliography  Save this article

The rivalry between Traditional Market and Social Commerce Market and a brief study of consumer tendency:An empirical evidence

Author

Listed:
  • Md.Nazmul HOSSAIN

    (East West University,Dhaka,Bangladesh)

  • MHM Imrul KABIR

    (East West University,Dhaka,Bangladesh)

  • Salma AKTER

    (East West University,Dhaka,Bangladesh)

Abstract

This study empirically investigates the competition between the traditional market (TM) and the social commerce market (SCM) based on customer tendency towards product price, quality, availability, design, time convenient, place convenient, comfortable to purchase, show off tendency on social commerce market and recommendations.According to the study, there are several notable differences between TM and SCM, and the tendency to flaunt affects whether or not people buy products from SCM.Even though social commerce markets tend to have higher prices, many still prefer them over traditional markets.This research is the first to examine the conflict between TM and SCM, and its conclusions diverge from those of Singh & Bhatia (2022); when making purchases, SCM customers are more likely to have gotten affected by advertisements or boasting.This study will help policymakers, marketers, and consumers infer the SCM and TM situation.

Suggested Citation

  • Md.Nazmul HOSSAIN & MHM Imrul KABIR & Salma AKTER, 2023. "The rivalry between Traditional Market and Social Commerce Market and a brief study of consumer tendency:An empirical evidence," Romanian Journal of Economics, Institute of National Economy, vol. 56(1(65)), pages 64-87, July.
  • Handle: RePEc:ine:journl:v:56:y:2023:i:65:p:64-87
    as

    Download full text from publisher

    File URL: http://www.revecon.ro/articles/2023-1/2023-1-4.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    traditional market/local market/physical market; social commerce market/online market; customer satisfaction; customer loyalty; show-off tendency;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

    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:ine:journl:v:56:y:2023:i:65:p:64-87. 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: Valentina Vasile (email available below). General contact details of provider: https://edirc.repec.org/data/inacaro.html .

    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.