Analysis of Data from Surveys for the Identification of the Factors That Influence the Migration of Small Companies to eCommerce

William Villegas-Ch. (), Santiago Criollo-C, Walter Gaibor-Naranjo and Xavier Palacios-Pacheco
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William Villegas-Ch.: Escuela de Ingeniería en Tecnologías de la Información, FICA, Universidad de Las Américas, Quito 170125, Ecuador
Santiago Criollo-C: Escuela de Ingeniería en Tecnologías de la Información, FICA, Universidad de Las Américas, Quito 170125, Ecuador
Walter Gaibor-Naranjo: Carrera de Ciencias de la Computación, Universidad Politécnica Salesiana, Quito 170105, Ecuador
Xavier Palacios-Pacheco: Departamento de Sistemas, Universidad Internacional del Ecuador, Quito 170411, Ecuador

Future Internet, 2022, vol. 14, issue 11, 1-22

Abstract: Currently, medium and small businesses face a significant change in the way consumers purchase their services, products, or goods. This change is fundamentally due to the pandemic caused by the 2019 coronavirus disease, during which people were forced to use information and communication technologies to satisfy their needs and interact with other people. After the pandemic, people’s dependence on technology increased exponentially, to such an extent that the Internet has become the channel through which any product can be purchased in an agile and varied way, from the comfort of home, and regardless of schedules. Therefore, for companies, moving from the traditional market to eCommerce is a necessity, but the change must take place efficiently. Therefore, identifying the factors that influence consumers to access a brand, a service, or a product is a characteristic of eCommerce. This paper presents an analysis of the factors that influence the use of electronic commerce. For this, a review of similar works was carried out for the design of surveys and the identification of the critical points considered by consumers. These data were analyzed in a granular way with tools used in business intelligence to improve decision making in the migration to a digital market.

Keywords: business intelligence; eCommerce; decision making; factorial analysis (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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