IDEAS home Printed from https://ideas.repec.org/a/seg/012016/v1y2017i2p95-108.html
   My bibliography  Save this article

E-Commerce Trend Forecasting For Romania Vs European Union

Author

Listed:
  • Radu Lixăndroiu

    (Transilvania University of Brasov)

Abstract

Considering the e-commerce as a dynamic channel sale, I conducted an analysis on the evolution of European e-commerce vs. Romania. For this purpose, I made a direct analysis, based on data available on Eurostat. Another purpose of the research was the identification of discrepancies on consumers' behavior related to online purchases between the EU and Romania.

Suggested Citation

  • Radu Lixăndroiu, 2017. "E-Commerce Trend Forecasting For Romania Vs European Union," Journal of Smart Economic Growth, , vol. 2(1), pages 98-108, March.
    • Handle: RePEc:seg:012016:v:1:y:2017:i:2:p:95-108
    as

    Download full text from publisher

    File URL: https://jseg.ro/index.php/jseg/article/view/12/12
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Biagi, Federico & Falk, Martin, 2017. "The impact of ICT and e-commerce on employment in Europe," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 1-18.
    2. Schneider, Matthew J. & Gupta, Sachin, 2016. "Forecasting sales of new and existing products using consumer reviews: A random projections approach," International Journal of Forecasting, Elsevier, vol. 32(2), pages 243-256.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aaryan Gupta & Vinya Dengre & Hamza Abubakar Kheruwala & Manan Shah, 2020. "Comprehensive review of text-mining applications in finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-25, December.
    2. OĞUZ Suzan & YAŞAR DİNÇER Fatma Cande & YİRMİBEŞOĞLU Gözde, 2022. "E-Commerce In Eu Countries And Turkey: An Econometric Analysis," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 17(3), pages 152-161, December.
    3. Muhammad Khalid Anser & Zahid Yousaf & Muhammad Usman & Seemab Yousaf, 2020. "Towards Strategic Business Performance of the Hospitality Sector: Nexus of ICT, E-Marketing and Organizational Readiness," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    4. Symitsi, Efthymia & Stamolampros, Panagiotis & Daskalakis, George & Korfiatis, Nikolaos, 2021. "The informational value of employee online reviews," European Journal of Operational Research, Elsevier, vol. 288(2), pages 605-619.
    5. De Caigny, Arno & Coussement, Kristof & De Bock, Koen W. & Lessmann, Stefan, 2020. "Incorporating textual information in customer churn prediction models based on a convolutional neural network," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1563-1578.
    6. Pham Quang Huy & Vu Kien Phuc, 2023. "Big data in relation with business intelligence capabilities and e-commerce during COVID-19 pandemic in accountant’s perspective," Future Business Journal, Springer, vol. 9(1), pages 1-21, December.
    7. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    8. Manuel Pérez-Trujillo & Camila Alvayay Torrejón & Maricruz Lacalle Calderón, 2024. "Is E-commerce an opportunity for boosting employment in developing countries? a study for the Chilean case," Asia-Pacific Journal of Regional Science, Springer, vol. 8(4), pages 1077-1110, December.
    9. Fatma Unlu, 2022. "The Effects of Information and Communication Technologies on Labor Productivity and Employment in Turkiye: The ARDL Bounds Test Approach," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 72(72-2), pages 725-751, December.
    10. Mariana Kaneva, 2019. "Broadband and e-Commerce in the Balkans - Econometric Analysis," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 8(2), pages 100-109, August.
    11. Qing Wang & Wenjing Xu & Yanghua Huang & Jidong Yang, 2022. "The Effect of Fast Internet on Employment: Evidence from a Large Broadband Expansion Program in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(3), pages 100-134, May.
    12. Mao Wu & Ying Ma & Yu Gao & Zhanhui Ji, 2024. "The impact of digital economy on income inequality from the perspective of technological progress-biased transformation: evidence from China," Empirical Economics, Springer, vol. 67(2), pages 567-607, August.
    13. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    14. Martin Falk & Eva Hagsten, 2018. "Employment impacts of market novelty sales: evidence for nine European Countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 119-137, June.
    15. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
    16. Chumnumpan, Pattarin & Shi, Xiaohui, 2019. "Understanding new products’ market performance using Google Trends," Australasian marketing journal, Elsevier, vol. 27(2), pages 91-103.
    17. Yang, Liu & Dong, Shaozeng, 2018. "Rebate strategy to stimulate online customer reviews," International Journal of Production Economics, Elsevier, vol. 204(C), pages 99-107.
    18. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    19. Niu, Meng & Wang, Zhenguo & Zhang, Yabin, 2022. "How information and communication technology drives (routine and non-routine) jobs: Structural path and decomposition analysis for China," Telecommunications Policy, Elsevier, vol. 46(1).
    20. Shi, Zheng, 2023. "The impact of regional ICT development on job quality of the employee in China," Telecommunications Policy, Elsevier, vol. 47(6).

    More about this item

    Keywords

    e-commerce trend; e-commerce Romania; e-commerce EU;
    All these keywords.

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

    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:seg:012016:v:1:y:2017:i:2:p:95-108. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Radu Lixandroiu (email available below). General contact details of provider: .

    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.