Martínez Velasco, Antonieta Teodora
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Martínez Velasco, Antonieta Teodora
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Martínez Velasco, Antonieta Teodora
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amartinezv
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Scopus Author ID
57192978286
Researcher ID
DWK-4326-2022

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Machine Learning Sustainable Competitiveness for Global Recovery

2022 , López-Fernández, Andreé Marie , Terán-Bustamante, Antonia , Martínez Velasco, Antonieta Teodora

The unexpected appearance and expansion of the pandemic caused by COVID-19 have shown that both developed and less developed countries need strategic, scientific-technological capacities and an innovation ecosystem to respond quickly to these challenges. The objective of this research is to analyze the potential correlation between competitiveness and sustainable development for a global recovery. To carry out the study, five global indexes were considered: competitiveness, sustainability, innovation, impunity, and human development which were analyzed with a mixed-method approach, quantitative and qualitative analysis. Organizational and government leaders are facing significant collateral effects of the health pandemic including economic recession and social development regression; therefore, the road to recovery requires they work toward sustainable development to reach desired competitiveness. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Business Model Innovation and Decision-Making for the Productive Sector in Times of Crisis

2022 , Terán-Bustamante, Antonia , Martínez Velasco, Antonieta Teodora

The pandemic caused by COVID-19 has affected all companies and their business models. For this reason, firms have needed to redesign these models, focusing on customer value proposition. The purpose of this research is to analyze Business Model Innovation (BMI) for decision-making. The methodological strategy is carried out through Bayesian networks. A model is made in which the main elements that make up a BMI are identified and quantified, which impact better decision-making to properly manage the proposal value for customers, technology, and achieve innovation. Evidence shows that the construction of BMI requires a model that mainly considers the relationships between variables such as knowledge architecture, implementation operation, change and evolution, and agile response. BMI will apply to organizations to the extent that it contemplates variables related to customer service and attention, as well as those related to innovation in organizations, attention, and those related to innovation in organizations. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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