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E-commerce in Hungary: A Market Analysis

Author

Listed:
  • Szabolcs Nagy

    (University of Miskolc)

Abstract

E-commerce is on the rise in Hungary, with significantly growing numbers of customers shopping online. This paper aims to identify the direct and indirect drivers of the double-digit growth rate, including the related macroeconomic indicators and the Digital Economy and Society Index (DESI). Moreover, this study provides a deep insight into industry trends and outlooks, including high industry concentration and top industrial players. It also draws the profile of the typical online shopper and the dominant characteristics of online purchases. Development of e-commerce is robust, but there is still plenty of potential for growth and progress in Hungary.

Suggested Citation

  • Szabolcs Nagy, 2016. "E-commerce in Hungary: A Market Analysis," Theory Methodology Practice (TMP), Faculty of Economics, University of Miskolc, vol. 12(02), pages 25-32.
    • Handle: RePEc:mic:tmpjrn:v:12:y:2016:i:02:p:25-32
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    File URL: http://tmp.gtk.uni-miskolc.hu/volumes/2016/02/TMP_2016_02_03.pdf
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    References listed on IDEAS

    as
    1. -, 2016. "Panorama Social y Económico Suramericano 2016," Libros y Documentos Institucionales, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 40829 edited by Cepal.
    2. -, 2016. "South American Social and Economic Panorama 2016," Libros y Documentos Institucionales, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 40888 edited by Eclac.
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    Citations

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    Cited by:

    1. Tamara Bińczak & Filip Kaczmarek & Jakub Rybacki, 2018. "Determinants of E-Commerce Turnover in Europe: Consumer Protection Matters," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 125-141.
    2. Szabolcs Nagy & Gergo Hajdu, 2022. "The relationship between content marketing and the traditional marketing communication tools," Papers 2301.01279, arXiv.org.
    3. Kandula, Shanthan & Krishnamoorthy, Srikumar & Roy, Debjit, 2020. "A Predictive and Prescriptive Analytics Framework for Efficient E-Commerce Order Delivery," IIMA Working Papers WP 2020-11-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    4. Pejman Ebrahimi & Khadija Aya Hamza & Eva Gorgenyi-Hegyes & Hadi Zarea & Maria Fekete-Farkas, 2021. "Consumer Knowledge Sharing Behavior and Consumer Purchase Behavior: Evidence from E-Commerce and Online Retail in Hungary," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    5. Novkovska, Blagica & Dumicic, Ksenija, 2019. "Ordering Goods And Services Online In South East European Countries: Comparison By Cluster Analysis," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 10(2), pages 163-173.
    6. Judit Oláh & Nemer Aburumman & József Popp & Muhammad Asif Khan & Hossam Haddad & Nicodemus Kitukutha, 2020. "Impact of Industry 4.0 on Environmental Sustainability," Sustainability, MDPI, vol. 12(11), pages 1-21, June.

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    More about this item

    Keywords

    e-commerce; market analysis; DESI; online shopping; online shopper; Hungary; retail;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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