RESUMO
This research offers a solution to a highly recognized and controversial problem within the composite indicator literature: sub-indicators weighting. The research proposes a novel hybrid weighting method that maximizes the discriminating power of the composite indicator with objectively defined weights. It considers the experts' uncertainty concerning the conceptual importance of sub-indicators in the multidimensional phenomenon, setting maximum and minimum weights (constraints) in the optimization function. The hybrid weighting scheme, known as the SAW-Max-Entropy method, avoids attributing weights that are incompatible with the multidimensional phenomenon's theoretical framework. At the same time, it reduces the influence of assessment errors and judgment biases on composite indicator scores. The research results show that the SAW-Max-Entropy weighting scheme achieves greater discriminating power than weighting schemes based on the Entropy Index, Expert Opinion, and Equal Weights. The SAW-Max-Entropy method has high application potential due to the increasing use of composite indicators across diverse areas of knowledge. Additionally, the method represents a robust response to the challenge of constructing composite indicators with superior discriminating power.
RESUMO
Alternative data are now widely used in economic analyses worldwide but still infrequent in studies on the Brazilian economy. This research demonstrates how alternative data extracted from Google Trends and Google Mobility contribute to innovative economic analysis. First, it demonstrates that the search for the future on the internet is correlated (R = 0.62) with the average household income in Brazilian states. The three Brazilian states with the most people looking for the future on the internet have an average household income 1.6 times higher than people from states that do not have this behavior. The search for the future represents 10.9% of the economic development potential of the states, while the proportion of people with university degrees, scientific publications, and researchers represents another 60.4%. The reduction in mobility in retail/recreation locations averaged 34.28% in Brazil, Ecuador, Paraguay, and Uruguay. This group of countries had COVID-19 infection and death rates 1.25 and 1.74 times higher than in countries that reduced their mobility in retail/recreation locations by 45.03%. The impact of reduced mobility in retail/recreation locations on the unemployment rate, gross domestic product degrowth, and inflation in countries such as Brazil was 1.1, 2.2, and 2.6 times lower than in countries that reduced mobility more of people. The research contributions are associated with identifying new indicators extracted from alternative data and their application to carry out innovative economic analyses.
RESUMO
The prioritization of Research, Development & Innovation Projects is an essential step in the innovation management process. As a rule, it is carried out applying methods that allow one to process experts' preferences concerning each project according to established criteria. However, there are different preference formats which experts can utilize: Ordering of Alternatives, Utility Values, Multiplicative Preference Relations, Fuzzy Estimates, Fuzzy Preference Relations, etc. Wherein, each prioritization method usually handles only one of these formats. Thus, the following question arises: how do we prioritize projects taken from portfolios evaluated in different formats? The proposed methodology presents a way to overcome this gap by achieving three main objectives. First, develop techniques that make it possible to crossover between preference formats and prioritization methods. Second, merge two portfolios of projects built applying different prioritization methods. Third, prioritize projects evaluated using different formats. The results of this study are universal and can be applied to replace any method of prioritization. In the specific case, the Mapping method is replaced by the Analytic Hierarchy Process and, then, by the Interactive Multicriteria Decision Making method (so called TODIM method). Techniques are also proposed to ensure compatibility between different preference formats and prioritization methods.â¢Prioritization of projects evaluated in different formats using the Mapping, AHP, and TODIM methods.â¢Providing fully consistent evaluation matrices.â¢Application of techniques to make different preference formats and prioritization methods compatible.