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An Analysis of the Romanian E-Commerce Trade Trends in European Perspective

Author

Listed:
  • VERGIL VOINEAGU

    (The Bucharest Academy of Economic Studies)

  • SIMONA NICOLETA VASILACHE

    (The Bucharest Academy of Economic Studies)

  • DANIELA ŞERBAN

    (The Bucharest Academy of Economic Studies)

  • SILVIA ELENA CRISTACHE

    (The Bucharest Academy of Economic Studies)

  • LIVIU STELIAN BEGU

    (The Bucharest Academy of Economic Studies)

Abstract

The paper employs regression analysis of relevance to outline significant differences in the perception of Romanian urban customers regarding the evolution of e-commerce, as the most dynamic sales channel, against the background of the econometric analysis of trends in e-commerce across 29 EU countries, based on selected information society macroeconomic indicators. The conclusions of the macroeconomic analysis can be checked for the consumers by an empirical survey, examining the consumer attitudes and preferences about the use of electronic commerce in Romanian urban areas. The analyzed sample comprised 385 young urban consumers, stratified by gender, age, income, employment status and level of education, which were directly interviewed, the questionnaire containing 20 items. Based on the macroeconomic data analysis, the results showed that Romania is occupying one of the last places of the hierarchy of countries according to the number of computers users per 100 inhabitants, due to the lack of computers in the rural areas. The empirical analysis showed that the low usage rate of the e-commerce is due, in the opinion of users, to fear for fraud, the lack of trust in the payment safety on the internet, ineffective web-sites and also due to the low promotion of e-commerce. The main conclusions of the analysis pointed out that, in the near future, new selling technologies are thought to spread globally in each country, company and household.

Suggested Citation

  • Vergil Voineagu & Simona Nicoleta Vasilache & Daniela Şerban & Silvia Elena Cristache & Liviu Stelian Begu, 2016. "An Analysis of the Romanian E-Commerce Trade Trends in European Perspective," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(1), pages 235-252.
    • Handle: RePEc:cys:ecocyb:v:50:y:2016:i:1:p:235-252
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    References listed on IDEAS

    as
    1. Vasile Dinu, 2014. "The Protection of the Consumers Rights in an Era of Technological Changes and Globalization," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 16(36), pages 449-449, May.
    2. Qingyi Chen & Ning Zhang, 2015. "Does E-Commerce Provide a Sustained Competitive Advantage? An Investigation of Survival and Sustainability in Growth-Oriented Enterprises," Sustainability, MDPI, vol. 7(2), pages 1-18, January.
    3. Alina Mihaela Dima, 2009. "Operational Risk Assesement Tools for Quality Management in Banking Services," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(26), pages 364-372, June.
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    Cited by:

    1. Eliza Nichifor & Adrian Trifan & Elena Mihaela Nechifor, 2021. "Artificial Intelligence in Electronic Commerce: Basic Chatbots and Consumer Journey," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 1-87, February.
    2. Rotaru Elena Cristina & Rotaru Florica Georgeta & Frâncu Gabriel Laurențiu & Tița Raluca, 2018. "Business developments in electronic commerce in Romania, a prerequisite for sustainable growth," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 885-895, May.
    3. Corina Pelau & Carmen Acatrinei, 2019. "The Paradox of Energy Consumption Decrease in the Transition Period towards a Digital Society," Energies, MDPI, vol. 12(8), pages 1-16, April.

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    More about this item

    Keywords

    E-commerce; correlation and regression analysis; ANOVA; competition; consumer; sustainable development.;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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