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

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.

Empirical Study of Sustainable E-Commerce Adoption by Small and Medium-Sized Enterprises in Vietnam

“…From a scientific perspective, e-commerce also attracts many researchers in economics, business, commerce, and consumer behavior to clarify the existing issues in the e-commerce business, seeking optimal solutions in implementing electronic business [14], [24], [7], [4]. Research on the acceptance of e-commerce by businesses has answered many questions, elucidating the motivations and reasons why businesses accept e-commerce with widely used models such as TAM (Technology Acceptance Model) and TOE framework (Technology-Organization-Environment framework) over the past thirty years.…”

The acceptance of sustainable e-commerce by small and medium-sized enterprises: a case of Vietnam

“…From a scientific perspective, e-commerce also attracts many researchers in economics, business, commerce, and consumer behaviour to clarify the existing issues in the e-commerce business, seeking optimal solutions in implementing electronic business (Ramdansyah & Taufik, 2017;Ziaran et al, 2021;Fedorko et al, 2021;Сherednichenko et al, 2023). Research on the acceptance of e-commerce by businesses has answered many questions, elucidating the motivations and reasons why businesses accept e-commerce with widely used models such as TAM (Technology Acceptance Model) and TOE (Technology-Organization-Environment framework) over the past thirty years.…”