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A Conceptual Framework for the Technological Advancement of E-Commerce Applications

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  • Snezhana Sulova

    (Department of Informatics, University of Economics—Varna, 9002 Varna, Bulgaria)

Abstract

E-commerce is an area in which success largely depends on the e-commerce applications used. Currently, there are many studies that focus on various technological innovations in e-commerce systems, but a comprehensive concept of their improvement is lacking. In this regard, the main objective of the article was to explore the technological possibilities for the improvement of e-commerce systems and to propose a conceptual framework for their maintenance and development. The chosen research approach included a combined methodology–text mining analysis of existing developments and identifying the key themes and trends in papers and deep scientific analyses of the most-cited developments. As a result, a conceptual framework for the maintenance and development of e-commerce applications was proposed. To test the approach, publications from the scientific literature database Scopus, on the topic “e-commerce applications” were used. Experiments and text processing were performed with the software RapidMiner Studio. Several main directions for the development of e-commerce systems have been defined: the application of modern development tools; the technological base; and the possibilities of integration. Future research may focus on detailing each direction.

Suggested Citation

  • Snezhana Sulova, 2023. "A Conceptual Framework for the Technological Advancement of E-Commerce Applications," Businesses, MDPI, vol. 3(1), pages 1-11, March.
    • Handle: RePEc:gam:jbusin:v:3:y:2023:i:1:p:15-230:d:1098761
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    References listed on IDEAS

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    1. Ransome Epie Bawack & Samuel Fosso Wamba & Kevin Daniel André Carillo & Shahriar Akter, 2022. "Artificial intelligence in E-Commerce: a bibliometric study and literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 297-338, March.
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    4. Helfat, Constance E. & Raubitschek, Ruth S., 2018. "Dynamic and integrative capabilities for profiting from innovation in digital platform-based ecosystems," Research Policy, Elsevier, vol. 47(8), pages 1391-1399.
    5. Yingyan Zhao & Yihong Zhou & Wu Deng, 2020. "Innovation Mode and Optimization Strategy of B2C E-Commerce Logistics Distribution under Big Data," Sustainability, MDPI, vol. 12(8), pages 1-13, April.
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    Cited by:

    1. Heesang Lee & Jinsun Jung, 2023. "Customer–Resource Relationships in the Continuous Business Model Innovation of Technology Companies: Google Cases," Sustainability, MDPI, vol. 16(1), pages 1-21, December.

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