Business model as a digital platform for searching alternative markets for the export of Ecuadorian products.

Abstract

The research topic on the digital business model for the exportation of traditional Ecuadorian products was highly relevant in an increasingly digitized world. The significance lay in the need to leverage digital technologies, such as artificial intelligence and machine learning, to enhance the competitiveness of traditional products in international markets and ensure sustainable economic growth for Ecuador. This work was developed with the main objective of creating a business model as a digital platform, utilizing artificial intelligence, with the purpose of boosting the search for alternative markets and facilitating the exportation of traditional Ecuadorian products. Theoretical and empirical methods have been employed, including the historical-logical method to break down the problem and the analytical-synthetic method to better understand the elements of the alternative market search process. The inductive-deductive method has been used to analyze interactions in the exportation system. Regarding empirical methods, quantitative information will be obtained through in-depth interviews, content analysis, and participant observation with exporting companies and relevant actors. The results presented by the business model, developed through software, indicated alternative markets to which users could gain access in case their primary market failed, thus streamlining the exportation process. It was concluded that the development of this model enhances the search for alternative markets, thereby facilitating the exportation of traditional Ecuadorian products.