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Information technology for intellectual analysis of item descriptions in e-commerce

Author

Listed:
  • Olga Cherednichenko

    (Bratislava University of Economics and Management, Slovakia)

  • Oksana Ivashchenko

    (Bratislava University of Economics and Management, Slovakia)

  • Marcel Lincényi

    (Bratislava University of Economics and Management, Slovakia)

  • Marián Kováč

    (Bratislava University of Economics and Management, Slovakia)

Abstract

E-commerce is experiencing a robust surge, propelled by the worldwide digital transformation and the mutual advantages accrued by both consumers and merchants. The integration of information technologies has markedly augmented the efficacy of digital enterprise, ushering in novel prospects and shaping innovative business paradigms. Nonetheless, adopting information technology is concomitant with risks, notably concerning safeguarding personal data. This substantiates the significance of research within the domain of artificial intelligence for e-commerce, with particular emphasis on the realm of recommender systems. This paper is dedicated to the discourse surrounding the construction of information technology tailored for processing textual descriptions pertaining to commodities within the e-commerce landscape. Through a qualitative analysis, we elucidate factors that mitigate the risks inherent in unauthorized data access. The cardinal insight discerned is that the apt utilization of product matching technologies empowers the formulation of recommendations devoid of entailing customers' personal data or vendors' proprietary information. A meticulously devised structural model of this information technology is proffered, delineating the principal functional components essential for processing textual data found within electronic trading platforms. Central to our exposition is the exploration of the product comparison predicated on textual depictions. The resolution of this challenge stands to enhance the efficiency of product searches and facilitate product juxtaposition and categorization. The prospective implementation of the propounded information technology, either in its entirety or through its constituent elements, augurs well for sellers, enabling them to improve a pricing strategy and heightened responsiveness to market sales trends. Concurrently, it streamlines the procurement journey for buyers by expediting the identification of requisite goods within the intricate milieu of e-commerce platforms.

Suggested Citation

  • Olga Cherednichenko & Oksana Ivashchenko & Marcel Lincényi & Marián Kováč, 2023. "Information technology for intellectual analysis of item descriptions in e-commerce," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 11(1), pages 178-190, September.
    • Handle: RePEc:ssi:jouesi:v:11:y:2023:i:1:p:178-190
    DOI: 10.9770/jesi.2023.11.1(10)
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    More about this item

    Keywords

    information technology; e-commerce; product matching; text processing; model; Artificial Intelligence (AI);
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other

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