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- Socio-economic and health management of pandemics based on forgotten effects theoryPublication . Barcellos-Paula, Luciano; Gil-Lafuente, Anna María; Rezende, AlineIntense and frequent changes increase uncertainty and complexity in decision-making. The COVID-19 pandemic exacerbates this situation. Therefore, the decision-maker seeks to reduce risks and meet these challenges. The manuscript aims to identify cause-effect relationships between variables affecting countries and changes caused by the COVID-19 pandemic and propose an algorithm to facilitate decision-making by identifying forgotten effects. The authors use thematic analysis to synthesize the semi-systematic literature review findings. The applied research uses a quantitative approach through modeling and simulation. The results highlight that the pandemic effects are associated with causes such as health care, political and economic stability, social justice, and the level of corruption. Decision-makers must prioritize the management of these variables guided by science. The main contribution is to show an algorithm that identifies forgotten effects in pandemics' socio-economic and health management, preventing future crises. In addition, the study advances the frontier of knowledge by addressing identified gaps and contributes to academia and policy makers. The most critical limitation is the number of variables included in this research. Future investigations could include analyses on the impact of climate change and sustainable development of nations and country-specific studies on the forgotten effects of the COVID-19 pandemic.
- Fuzzy algorithm applied to factors influencing competitiveness: A case study of Brazil and Peru through affinities theoryPublication . Barcellos-Paula, Luciano; Rezende, Aline; Alvares, Daniela FantoniInnovation plays a crucial role in the economy of nations worldwide. In Latin America, countries foster competitiveness through public and private incentives to support innovation. Moreover, entrepreneurship incentives seek to improve countries’ performance, although factors such as low business growth rates and informality can compromise it. Despite the efforts, there are several difficulties in achieving competitiveness, and few studies in developing countries. Therefore, the article explores the relationship between the factors that influence competitiveness, especially the role of innovation and entrepreneurship in Brazil and Peru. The research uses quantitative-qualitative methodology through modeling and simulation and a case study. The authors use the Affinities Theory to verify the relationship between the indicators that make up the competitiveness landscape and its most significant and attractive factors, adapting the methodology established by the International Institute for Management Development (IMD) World Competitiveness ranking. As a result, this algorithm allows us to know the relationships between five factors of economic attractiveness and four competitiveness indicators. As its main contributions, the study advances the frontier of knowledge about innovation and entrepreneurship, as few studies explore competitiveness in developing countries. Also, it offers a detailed explanation of the application of this algorithm, allowing researchers to reproduce this methodology in other scenarios. Practically, it might support policymakers in formulating development strategies and stimuli for business competitiveness. In addition, academic and business leaders can strengthen university-business collaboration with applied research in innovation and entrepreneurship. One limitation would be the number of countries participating in the research. The authors suggest future lines of research.
- Algorithm Applied to SDG13: A case study of Ibero-American CountriesPublication . Barcellos-Paula, Luciano; Gil-Lafuente, Anna María; Rezende, AlineScientific studies confirm the existence of a crisis caused by climate change, in which global causes produce local effects. Despite climate agreements, greenhouse gas emissions continue to fall short of targets to limit global warming. There is still a need for comparable data for Sustainable Development Goal (SDG) 13—Climate Action. The motivation of the research is to provide data for decision-making and to propose solutions to address the climate crisis. The article aims to propose a Fuzzy Logic algorithm to evaluate the SDG13 indicators and to deepen the discussion on climate change. The research is applied explanatory with a combined approach (quantitative-qualitative) through modeling, simulation, and case studies. As a result, the OWA operator ranks 10 IberoAmerican countries to SDG13, indicating Colombia, Peru, and Cuba in the first positions. The main contributions are the reduction of identified knowledge gaps and proposals for action for policy and decision-makers. A limitation of this study would be the number of participating countries. The authors indicate future lines of research.
- Sustainable management of the supply chain based on fuzzy logicPublication . Barcellos de Paula, Luciano; Maria Gil-Lafuente, Anna; Rezende, Aline de CastroCompanies face a number of management challenges, and decision makers must adopt new approaches that consider sustainable development in their operations. In this context, the article aims to address sustainable supply chain management and propose solutions based on a fuzzy logic. Three distance measurement algorithms are applied to evaluate and classify suppliers in a consumer goods industry. The results demonstrate the usefulness of the algorithms in decision-making and bring a contribution to the sustainable development of companies. Furthermore, it supports future studies on sustainable management, the supply chain, and the application of algorithms to sustainability.
- Application of the affinities theory to the environmental sustainability of tourist destinations: The case of LjubljanaPublication . Barcellos-Paula, Luciano; de Castro Rezende, Aline; Gil-Lafuente, Anna MaríaSustainability has become a critical concern for many destinations seeking to revitalize their tourism industry while also dealing with issues stemming from climate change. To address these challenges, practical strategies to manage the harmful effects of the environmental crisis are necessary. Despite the critical role of sustainability, there still needs to be more practical solutions for implementing it in practice. The article aims to (i) broaden the discussion on sustainable tourism and solutions to reduce the impacts of climate change, and (ii) to understand the relationships of affinities between pro-environmental initiatives and the characteristics of the destination based on the perceptions of tourists who visit the city of Ljubljana. This study analyses tourist perception in an urban destination focusing on reducing carbon footprint and promoting sustainable development. Through a case study and the application of Affinities Theory, a specific algorithm to recognise affinity connections, a database with 372 international tourists who visited Ljubljana is utilised. This study has an explanatory goal and uses a comprehensive method (quantitative-qualitative). The findings confirmed that the characteristics of the destination most relevant to the tourist are Sustainable, Environmentally Friendly, and Safe. The research acknowledged practical approaches to improve the competitiveness and sustainability of tourism. The results could assist managers and policymakers in formulating sustainability-based strategies and reducing decisionmaking uncertainty. Also, it deepens the theoretical understanding of sustainable tourism and climate change mitigation strategies using a modelling and simulation method that other researchers can replicate in different contexts. This innovative research employs the Affinities Theory to assess Ljubljana’s urban sustainability, examining how environmental practices can help reduce climate change’s impact and how tourists perceive these practices.