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In this research, the bankruptcy situation of companies listed on the Santiago de Chile Stock Exchange and the São Paulo Stock Exchange are tested, through models: Z-Score, Logit and Probit, comparing the forecast of the companies classified as likely to fail, in order to assess whether the models could anticipate a possible crisis situation. The results indicate that, for the year 2016, the bankruptcy of 13 Chilean companies and 59 Brazilian companies, mostly belonging to the construction and manufacturing sector in both countries, was forecast. It is concluded that the Z-Score and Z1 Models would be more applicable to the economies under study, as they were correct in the forecast of all Chilean companies and 49 Brazilian companies, and it is always necessary to complement the tools oriented to financial analysis.
Benito Umaña-Hermosilla; Edinson Cornejo-Saavedra; Valeria Riquelme-Garcés; Hanns de la Fuente-Mella; Claudio Elórtegui-Gómez. Assessment of the Forecasting Capacity of the Bankruptcy Prediction Models in Companies Listed on the Stock Exchange in Chile and Brazil. Sustainable Smart Cities and Territories 2021, 119 -128.
AMA StyleBenito Umaña-Hermosilla, Edinson Cornejo-Saavedra, Valeria Riquelme-Garcés, Hanns de la Fuente-Mella, Claudio Elórtegui-Gómez. Assessment of the Forecasting Capacity of the Bankruptcy Prediction Models in Companies Listed on the Stock Exchange in Chile and Brazil. Sustainable Smart Cities and Territories. 2021; ():119-128.
Chicago/Turabian StyleBenito Umaña-Hermosilla; Edinson Cornejo-Saavedra; Valeria Riquelme-Garcés; Hanns de la Fuente-Mella; Claudio Elórtegui-Gómez. 2021. "Assessment of the Forecasting Capacity of the Bankruptcy Prediction Models in Companies Listed on the Stock Exchange in Chile and Brazil." Sustainable Smart Cities and Territories , no. : 119-128.
Benito Umaña-Hermosilla; Hanns de la Fuente-Mella; Claudio Elórtegui-Gómez; Jorge Ferrada-Rodríguez; Mauricio Arce-Rojas. Analysis of a Bankruptcy Prediction Model for Companies in Chile. Lecture Notes in Networks and Systems 2021, 83 -90.
AMA StyleBenito Umaña-Hermosilla, Hanns de la Fuente-Mella, Claudio Elórtegui-Gómez, Jorge Ferrada-Rodríguez, Mauricio Arce-Rojas. Analysis of a Bankruptcy Prediction Model for Companies in Chile. Lecture Notes in Networks and Systems. 2021; ():83-90.
Chicago/Turabian StyleBenito Umaña-Hermosilla; Hanns de la Fuente-Mella; Claudio Elórtegui-Gómez; Jorge Ferrada-Rodríguez; Mauricio Arce-Rojas. 2021. "Analysis of a Bankruptcy Prediction Model for Companies in Chile." Lecture Notes in Networks and Systems , no. : 83-90.
Chile is recognized as a highly centralized country, the literature in general and organizations such as the OECD identify Chile with a strong economic dependence on a few regions, where in addition, the OECD itself points out that this centralization and concentration limits Chile's capacity for increase. The main objective of the following research is to analyze the degree of incidence of macroeconomic, social, territorial and political variables that influence the foreign trade of the political-administrative regions of Chile with the World. Evaluating the impact of trade liberalization policies on the development of productive activity in the political-administrative regions of Chile. Regarding the methodology, a formulation of a commercial gravity model will be carried out applying the analysis methodology of panel data, considering for this the regionalized import and export figures, extracted from the customs databases, comprised between the years 2010 and 2019 and information from different national and foreign data sources published as open sources. Thus, it seeks to obtain a regional econometric analysis instrument that identifies the main variables that influence the flow of regional trade in Chile, and consequently measure the degree of territorial deconcentrating achieved from the international trade of Chile's regions as a percentage.
Manuel Ayala; Hanns de la Fuente-Mella; Víctor Leiva; Ana María Vallina-Hernández. Trade Gravity Models for the Factors Affecting Foreign Trade in the Political-Administrative Regions of Chile. Sustainable Smart Cities and Territories 2021, 495 -503.
AMA StyleManuel Ayala, Hanns de la Fuente-Mella, Víctor Leiva, Ana María Vallina-Hernández. Trade Gravity Models for the Factors Affecting Foreign Trade in the Political-Administrative Regions of Chile. Sustainable Smart Cities and Territories. 2021; ():495-503.
Chicago/Turabian StyleManuel Ayala; Hanns de la Fuente-Mella; Víctor Leiva; Ana María Vallina-Hernández. 2021. "Trade Gravity Models for the Factors Affecting Foreign Trade in the Political-Administrative Regions of Chile." Sustainable Smart Cities and Territories , no. : 495-503.
Pension funds has become progressively important because of longer life expectation and greater uncertainty in crisis/ pandemic times. The Chilean pension fund has some remarkable characteristic. However, it has been strongly criticized by the low pensions that provide to retired workers. This paper aims to analyze the efficiency of the organizations that manage pension funds (AFPs), specifically during disrupted times, such as 2008 financial crisis. The methodology applied is a stochastic frontier model and compare its results with previous studies that utilized the alternative method of the envelope technological frontier, even though the period under study is not the same. The contribution is to answer how the crisis impacted in AFPs` outcomes using the stochastic method and the differences between stochastic and absolute methods findings. AFPs increase efficiency but did not impact retired workers. Nonetheless results about economies of scale differs. Further studies focus on workers return are need it.
Claudina Rubilar-Maturana; Cesar Venegas-Pineda; Ana Maria Vallina-Hernandez; Hanns de la Fuente-Mella; Rodrigo Fuentes-Ortiz. Analysis to the Chilean Pension Fund System, Comparing Stochastic Technical Frontier and Envelop Technical Frontier Methodologies. Sustainable Smart Cities and Territories 2021, 141 -148.
AMA StyleClaudina Rubilar-Maturana, Cesar Venegas-Pineda, Ana Maria Vallina-Hernandez, Hanns de la Fuente-Mella, Rodrigo Fuentes-Ortiz. Analysis to the Chilean Pension Fund System, Comparing Stochastic Technical Frontier and Envelop Technical Frontier Methodologies. Sustainable Smart Cities and Territories. 2021; ():141-148.
Chicago/Turabian StyleClaudina Rubilar-Maturana; Cesar Venegas-Pineda; Ana Maria Vallina-Hernandez; Hanns de la Fuente-Mella; Rodrigo Fuentes-Ortiz. 2021. "Analysis to the Chilean Pension Fund System, Comparing Stochastic Technical Frontier and Envelop Technical Frontier Methodologies." Sustainable Smart Cities and Territories , no. : 141-148.
COVID-19 infections have plagued the world and led to deaths with a heavy pneumonia manifestation. The main objective of this investigation is to evaluate the performance of certain economies during the crisis derived from the COVID-19 pandemic. The gross domestic product (GDP) and global health security index (GHSI) of the countries belonging–or not–to the Organization for Economic Cooperation and Development (OECD) are considered. In this paper, statistical models are formulated to study this performance. The models’ specifications include, as the response variable, the GDP variation/growth percentage in 2020, and as the covariates: the COVID-19 disease rate from its start in March 2020 until 31 December 2020; the GHSI of 2019; the countries’ risk by default spreads from July 2019 to May 2020; belongingness or not to the OECD; and the GDP per capita in 2020. We test the heteroscedasticity phenomenon present in the modeling. The variable “COVID-19 cases per million inhabitants” is statistically significant, showing its impact on each country’s economy through the GDP variation. Therefore, we report that COVID-19 cases affect domestic economies, but that OECD membership and other risk factors are also relevant.
Hanns de la Fuente-Mella; Rolando Rubilar; Karime Chahuán-Jiménez; Víctor Leiva. Modeling COVID-19 Cases Statistically and Evaluating Their Effect on the Economy of Countries. Mathematics 2021, 9, 1558 .
AMA StyleHanns de la Fuente-Mella, Rolando Rubilar, Karime Chahuán-Jiménez, Víctor Leiva. Modeling COVID-19 Cases Statistically and Evaluating Their Effect on the Economy of Countries. Mathematics. 2021; 9 (13):1558.
Chicago/Turabian StyleHanns de la Fuente-Mella; Rolando Rubilar; Karime Chahuán-Jiménez; Víctor Leiva. 2021. "Modeling COVID-19 Cases Statistically and Evaluating Their Effect on the Economy of Countries." Mathematics 9, no. 13: 1558.
Combinatorial optimization problems are very common in the real world but difficult to solve. Among the promising algorithms that have been successful in solving these problems are metaheuristics. The two basic search behaviors used in metaheuristics are exploration and exploitation, and the success of metaheuristic search largely depends on the balance of these two behaviors. Machine learning techniques have provided considerable support to improve data-driven optimization algorithms. One of the techniques that stands out is Q-Learning, which is a reinforcement learning technique that penalizes or rewards actions according to the consequence it entails. In this work, a general discretization framework is proposed where Q-Learning can adapt a continuous metaheuristic to work in discrete domains. In particular, we use Q-learning so that the algorithm learns an optimal binarization schemEqe selection policy. The policy is dynamically updated based on the performance of the binarization schemes in each iteration. Preliminary experiments using our framework with sine cosine algorithm show that the proposal presents promising results compared to other algorithms.
Felipe Cisternas-Caneo; Broderick Crawford; Ricardo Soto; Hanns de la Fuente-Mella; Diego Tapia; José Lemus-Romani; Mauricio Castillo; Marcelo Becerra-Rozas; Fernando Paredes; Sanjay Misra. A Data-Driven Dynamic Discretization Framework to Solve Combinatorial Problems Using Continuous Metaheuristics. Advances in Neuroergonomics and Cognitive Engineering 2021, 76 -85.
AMA StyleFelipe Cisternas-Caneo, Broderick Crawford, Ricardo Soto, Hanns de la Fuente-Mella, Diego Tapia, José Lemus-Romani, Mauricio Castillo, Marcelo Becerra-Rozas, Fernando Paredes, Sanjay Misra. A Data-Driven Dynamic Discretization Framework to Solve Combinatorial Problems Using Continuous Metaheuristics. Advances in Neuroergonomics and Cognitive Engineering. 2021; ():76-85.
Chicago/Turabian StyleFelipe Cisternas-Caneo; Broderick Crawford; Ricardo Soto; Hanns de la Fuente-Mella; Diego Tapia; José Lemus-Romani; Mauricio Castillo; Marcelo Becerra-Rozas; Fernando Paredes; Sanjay Misra. 2021. "A Data-Driven Dynamic Discretization Framework to Solve Combinatorial Problems Using Continuous Metaheuristics." Advances in Neuroergonomics and Cognitive Engineering , no. : 76-85.
Regression models based on the log‐symmetric family of distributions are particularly useful when the response variable is continuous, positive and asymmetrically distributed. In this paper, we propose and derive a class of models based on a new approach to quantile regression using log‐symmetric distributions parameterized by means of their quantiles. Two Monte Carlo simulation studies are carried out using the R software. The first one analyzes the performance of the maximum likelihood estimators, the Akaike, Bayesian and corrected Akaike information criteria, and the generalized Cox‐Snell and random quantile residuals. The second one evaluates the size and power of the Wald, likelihood ratio, score and gradient tests. A web‐scraped box‐office data set of the movie industry is analyzed to illustrate the proposed approach. Within the main results of the simulation carried out, the good performance of the maximum likelihood estimators is reported.
Helton Saulo; Alan Dasilva; Víctor Leiva; Luis Sánchez; Hanns de la Fuente‐Mella. Log‐symmetric quantile regression models. Statistica Neerlandica 2021, 1 .
AMA StyleHelton Saulo, Alan Dasilva, Víctor Leiva, Luis Sánchez, Hanns de la Fuente‐Mella. Log‐symmetric quantile regression models. Statistica Neerlandica. 2021; ():1.
Chicago/Turabian StyleHelton Saulo; Alan Dasilva; Víctor Leiva; Luis Sánchez; Hanns de la Fuente‐Mella. 2021. "Log‐symmetric quantile regression models." Statistica Neerlandica , no. : 1.
The efficiency of city councils is a matter of concern in public discussion in Chile, due to the growing political relevance that citizens demand of them for social and economic management, in the face of the effects of the pandemic and recent social unrest. Despite the marked historical centralization of power in the capital city, the efficiency of the Chilean municipalities will be key to improving the quality of life of the communities, especially in times of political tension, greater social needs and discredit toward national institutions, not well the local ones. A cross-sectional econometric regression model was developed to explain the determinants of the efficiency of the municipalities and identify the variables that have the greatest impact on said efficiency. City councils that are regional capitals with more than 50,000 inhabitants were selected for this study.
Claudio Elórtegui-Gómez; Hanns de la Fuente-Mella; Mauricio Alvarado; Matías Guajardo. Efficiency of the City Councils Using Cross-Sectional Model: Challenges in Times of Change and Political Tension. Linear and Non-Linear Financial Econometrics -Theory and Practice 2021, 1 .
AMA StyleClaudio Elórtegui-Gómez, Hanns de la Fuente-Mella, Mauricio Alvarado, Matías Guajardo. Efficiency of the City Councils Using Cross-Sectional Model: Challenges in Times of Change and Political Tension. Linear and Non-Linear Financial Econometrics -Theory and Practice. 2021; ():1.
Chicago/Turabian StyleClaudio Elórtegui-Gómez; Hanns de la Fuente-Mella; Mauricio Alvarado; Matías Guajardo. 2021. "Efficiency of the City Councils Using Cross-Sectional Model: Challenges in Times of Change and Political Tension." Linear and Non-Linear Financial Econometrics -Theory and Practice , no. : 1.
In this research, statistical models are formulated to study the effect of the health crisis arising from COVID-19 in global markets. Breakpoints in the price series of stock indexes are considered. Such indexes are used as an approximation of the stock markets in different countries, taking into account that they are indicative of these markets because of their composition. The main results obtained in this investigation highlight that countries with better institutional and economic conditions are less affected by the pandemic. In addition, the effect of the health index in the models is associated with their non-significant parameters. This is due to that the health index used in the modeling would not determine the different capacities of the countries analyzed to respond efficiently to the pandemic effect. Therefore, the contagion is the preponderant factor when analyzing the structural breakdown that occurred in the world economy
Karime Chahuán-Jiménez; Rubilar Rolando; Hans De la Fuente-Mella; Victor Leiva. Breakpoint Analysis for the COVID-19 Pandemic and Its Effect on the Stock Markets. Entropy 2021, 23, 100 -112.
AMA StyleKarime Chahuán-Jiménez, Rubilar Rolando, Hans De la Fuente-Mella, Victor Leiva. Breakpoint Analysis for the COVID-19 Pandemic and Its Effect on the Stock Markets. Entropy. 2021; 23 (1):100-112.
Chicago/Turabian StyleKarime Chahuán-Jiménez; Rubilar Rolando; Hans De la Fuente-Mella; Victor Leiva. 2021. "Breakpoint Analysis for the COVID-19 Pandemic and Its Effect on the Stock Markets." Entropy 23, no. 1: 100-112.
Este artículo plantea un modelo econométrico que permite determinar el número de semestres que invierte un estudiante de la carrera Contador Auditor de la Pontificia Universidad Católica de Valparaíso (Chile) en finalizar su titulación universitaria. Además, se trata de identificar los factores, relacionados con el rendimiento académico o no, que determinan dicha duración. Los resultados obtenidos muestran como variables de ambos tipos inciden en la duración de los estudios universitarios. En relación con las variables asociadas al rendimiento académico, las notas promedio en las asignaturas del área disciplinar finanzas y matemáticas, son las más influyentes en la duración de la carrera de Contador Auditor. Además, la edad, el tipo de establecimiento donde cursaron los estudios previos y el sexo de los estudiantes se han identificados como predictores válidos del rendimiento académico de los egresados.
Hanns De La Fuente Mella; Mercedes Marzo Navarro; Carmen Berne Manero; Marta Pedraja Iglesias; Camila González Huenuman. Análisis de los determinantes del rendimiento académico. El caso de Contador Auditor de la Pontificia Universidad Católica de Valparaíso. Estudios pedagógicos (Valdivia) 2021, 47, 469 -482.
AMA StyleHanns De La Fuente Mella, Mercedes Marzo Navarro, Carmen Berne Manero, Marta Pedraja Iglesias, Camila González Huenuman. Análisis de los determinantes del rendimiento académico. El caso de Contador Auditor de la Pontificia Universidad Católica de Valparaíso. Estudios pedagógicos (Valdivia). 2021; 47 (1):469-482.
Chicago/Turabian StyleHanns De La Fuente Mella; Mercedes Marzo Navarro; Carmen Berne Manero; Marta Pedraja Iglesias; Camila González Huenuman. 2021. "Análisis de los determinantes del rendimiento académico. El caso de Contador Auditor de la Pontificia Universidad Católica de Valparaíso." Estudios pedagógicos (Valdivia) 47, no. 1: 469-482.
Companies restate when material misstatements are identified in previously issued financial statements. Misstatement research in Latin America is sparse, even though they are an important context to study this phenomenon. Chile’s corporate governance regulations are considered exemplars for Latin American countries but its auditing profession is not well developed. Thus, Chile provides an interesting context to study the complementary roles of audit and board governance affecting misstatements. Using a sample of 104 Chilean listed firms over seven years, our study finds that the board links and audit partner tenure negatively affect misstatements. Specifically, given the prevalence of related party transactions (RPTs) in conglomerates, the finding suggests that cross directors monitor high-value RPTs, but that this is not a substitute for auditor expertise. The findings raise questions about the advisability of mandating audit partner rotation to strengthen auditor independence because the results indicate that a short audit partner tenure leads to the auditor not developing client-specific knowledge. The study makes contributions to the corporate governance literature by highlighting that board monitoring is not a good substitute for auditor monitoring of financial reporting integrity, and suggesting the need for having licensing requirements to become an auditor.
Sakthi Mahenthiran; Berta Silva Palavecinos; Hanns De La Fuente-Mella. The Effect of Board Links, Audit Partner Tenure, and Related Party Transactions on Misstatements: Evidence from Chile. International Journal of Financial Studies 2020, 8, 78 .
AMA StyleSakthi Mahenthiran, Berta Silva Palavecinos, Hanns De La Fuente-Mella. The Effect of Board Links, Audit Partner Tenure, and Related Party Transactions on Misstatements: Evidence from Chile. International Journal of Financial Studies. 2020; 8 (4):78.
Chicago/Turabian StyleSakthi Mahenthiran; Berta Silva Palavecinos; Hanns De La Fuente-Mella. 2020. "The Effect of Board Links, Audit Partner Tenure, and Related Party Transactions on Misstatements: Evidence from Chile." International Journal of Financial Studies 8, no. 4: 78.
The Coronavirus Disease 2019 (COVID-19) pandemic is transforming the world we live in, revealing our health, economic, and social weaknesses. In the local economy, the loss of job opportunities, the uncertainty about the future of small and medium-sized companies and the difficulties of families to face the effects of this crisis, invite us to investigate the perception of the local community. Based on a questionnaire applied to 313 citizens and 51 companies, this study explored the perception of these actors on the effects of the pandemic at the local level and determined the main factors that influenced their assessment using a multinomial logistic regression model. The results indicated a systematic concern for issues of employment, job security, and household debt. The variables of age and sex were significant when analyzing the vulnerability of certain groups, especially women and the elderly, to face the effects of the crisis and their role as citizens. At the business level, the focus was on economic policies that support its operational continuity and management capacity to face a changing scenario.
Benito Umaña-Hermosilla; Hanns De La Fuente-Mella; Claudio Elórtegui-Gómez; Marisela Fonseca-Fuentes. Multinomial Logistic Regression to Estimate and Predict the Perceptions of Individuals and Companies in the Face of the COVID-19 Pandemic in the Ñuble Region, Chile. Sustainability 2020, 12, 9553 .
AMA StyleBenito Umaña-Hermosilla, Hanns De La Fuente-Mella, Claudio Elórtegui-Gómez, Marisela Fonseca-Fuentes. Multinomial Logistic Regression to Estimate and Predict the Perceptions of Individuals and Companies in the Face of the COVID-19 Pandemic in the Ñuble Region, Chile. Sustainability. 2020; 12 (22):9553.
Chicago/Turabian StyleBenito Umaña-Hermosilla; Hanns De La Fuente-Mella; Claudio Elórtegui-Gómez; Marisela Fonseca-Fuentes. 2020. "Multinomial Logistic Regression to Estimate and Predict the Perceptions of Individuals and Companies in the Face of the COVID-19 Pandemic in the Ñuble Region, Chile." Sustainability 12, no. 22: 9553.
One of the current problems in engineering is the collapse of bridges that cross rivers due to the scour of their piers. This can lead to collapse and thus high costs associated with reconstruction. One way of avoiding bridge collapses is the installation of an arch-shaped superstructure that goes over the bridge, which by means of hangers lifts the deck to replace the damaged piers. A problem arises when the hangers are tight since keeping the properties of the deck of the original bridge is mandatory in order to avoid serious damages to the bridge. This paper proposes the use of algorithms with great performance in the literature, which are Black Hole and cuckoo search, to find the correct order to tight the hangers as well as the magnitude that minimizes the difference in stresses along the concrete with respect to the original bridge. Finally, the results associated with various real instances are presented according to the San Luis bridge, where the proper functioning of the Black Hole Algorithm can be observed, as opposed to cuckoo search and 4 other techniques. This implies that the use of metaheuristic techniques presents acceptable results in reasonable calculation times, validating the implementation of these techniques for this problem.
Broderick Crawford; Ricardo Soto; José Lemus-Romani; Gino Astorga; Sebastián Matus De La Parra; Alvaro Peña-Fritz; Matías Valenzuela; José García; Hanns De La Fuente-Mella; Carlos Castro; Fernando Paredes. Investigating the Efficiency of Swarm Algorithms for Bridge Strengthening by Conversion to Tied-Arch: A Numerical Case Study on San Luis Bridge. Iranian Journal of Science and Technology, Transactions of Civil Engineering 2020, 1 -13.
AMA StyleBroderick Crawford, Ricardo Soto, José Lemus-Romani, Gino Astorga, Sebastián Matus De La Parra, Alvaro Peña-Fritz, Matías Valenzuela, José García, Hanns De La Fuente-Mella, Carlos Castro, Fernando Paredes. Investigating the Efficiency of Swarm Algorithms for Bridge Strengthening by Conversion to Tied-Arch: A Numerical Case Study on San Luis Bridge. Iranian Journal of Science and Technology, Transactions of Civil Engineering. 2020; ():1-13.
Chicago/Turabian StyleBroderick Crawford; Ricardo Soto; José Lemus-Romani; Gino Astorga; Sebastián Matus De La Parra; Alvaro Peña-Fritz; Matías Valenzuela; José García; Hanns De La Fuente-Mella; Carlos Castro; Fernando Paredes. 2020. "Investigating the Efficiency of Swarm Algorithms for Bridge Strengthening by Conversion to Tied-Arch: A Numerical Case Study on San Luis Bridge." Iranian Journal of Science and Technology, Transactions of Civil Engineering , no. : 1-13.
This study focuses on identifying personality traits in computer science students and determining whether they are related to academic performance. In addition, the importance of the personality traits based on motivation scale and depression, anxiety, and stress scales were measured. A sample of 188 students from the Computer Engineering Schools of the Pontifical Catholic University of Valparaíso was used. Through econometric two-stage least squares and paired sample correlation analysis, the results obtained indicate that there is a relation between academic performance and the personality traits measured by educational motivation scale and the ranking of university entrance and gender. In addition, these results led to characterization of students based on their personality traits and provided elements that may enhance the development of an effective personality that allows students to successfully face their environment, playing an important role in the educational process.
Hanns De La Fuente-Mella; Claudia Guzmán Gutiérrez; Kathleen Crawford; Giancarla Foschino; Broderick Crawford; Ricardo Soto; Claudio León De La Barra; Felipe Cisternas Caneo; Eric Monfroy; Marcelo Becerra-Rozas; Claudio Elórtegui-Gómez. Analysis and Prediction of Engineering Student Behavior and Their Relation to Academic Performance Using Data Analytics Techniques. Applied Sciences 2020, 10, 7114 .
AMA StyleHanns De La Fuente-Mella, Claudia Guzmán Gutiérrez, Kathleen Crawford, Giancarla Foschino, Broderick Crawford, Ricardo Soto, Claudio León De La Barra, Felipe Cisternas Caneo, Eric Monfroy, Marcelo Becerra-Rozas, Claudio Elórtegui-Gómez. Analysis and Prediction of Engineering Student Behavior and Their Relation to Academic Performance Using Data Analytics Techniques. Applied Sciences. 2020; 10 (20):7114.
Chicago/Turabian StyleHanns De La Fuente-Mella; Claudia Guzmán Gutiérrez; Kathleen Crawford; Giancarla Foschino; Broderick Crawford; Ricardo Soto; Claudio León De La Barra; Felipe Cisternas Caneo; Eric Monfroy; Marcelo Becerra-Rozas; Claudio Elórtegui-Gómez. 2020. "Analysis and Prediction of Engineering Student Behavior and Their Relation to Academic Performance Using Data Analytics Techniques." Applied Sciences 10, no. 20: 7114.
In this paper, we integrate the autonomous search paradigm on a swarm intelligence algorithm in order to incorporate the auto-adjust capability on parameter values during the run. We propose an independent procedure that begins to work when it detects a stagnation in a local optimum, and it can be applied to any population-based algorithms. For that, we employ the autonomous search technique which allows solvers to automatically re-configure its solving parameters for enhancing the process when poor performances are detected. This feature is dramatically crucial when swarm intelligence methods are developed and tested. Finding the best parameter values that generate the best results is known as an optimization problem itself. For that, we evaluate the behavior of the population size to autonomously be adapted and controlled during the solving time according to the requirements of the problem. The proposal is testing on the dolphin echolocation algorithm which is a recent swarm intelligence algorithm based on the dolphin feature to navigate underwater and identify prey. As an optimization problem to solve, we test a machine-part cell formation problem which is a widely used technique for improving production flexibility, efficiency, and cost reduction in the manufacturing industry decomposing a manufacturing plant in a set of clusters called cells. The goal is to design a cell layout in such a way that the need for moving parts from one cell to another is minimized. Using statistical non-parametric tests, we demonstrate that the proposed approach efficiently solves 160 well-known cell manufacturing instances outperforming the classic optimization algorithm as well as other approaches reported in the literature, while keeping excellent robustness levels.
Ricardo Soto; Broderick Crawford; Rodrigo Olivares; César Carrasco; Eduardo A. Rodriguez Tello; Carlos Castro; Fernando Paredes; Hanns De La Fuente-Mella. A Reactive Population Approach on the Dolphin Echolocation Algorithm for Solving Cell Manufacturing Systems. Mathematics 2020, 8, 1389 .
AMA StyleRicardo Soto, Broderick Crawford, Rodrigo Olivares, César Carrasco, Eduardo A. Rodriguez Tello, Carlos Castro, Fernando Paredes, Hanns De La Fuente-Mella. A Reactive Population Approach on the Dolphin Echolocation Algorithm for Solving Cell Manufacturing Systems. Mathematics. 2020; 8 (9):1389.
Chicago/Turabian StyleRicardo Soto; Broderick Crawford; Rodrigo Olivares; César Carrasco; Eduardo A. Rodriguez Tello; Carlos Castro; Fernando Paredes; Hanns De La Fuente-Mella. 2020. "A Reactive Population Approach on the Dolphin Echolocation Algorithm for Solving Cell Manufacturing Systems." Mathematics 8, no. 9: 1389.
PurposeThe purpose of this paper is to compare and contrast the international trade characteristics of commerce between Latin American countries and some of the top economies in the world, in order to identify new business opportunities for LATAM firms in dynamical external markets.Design/methodology/approachA triple indexed gravity model, correcting with robust standardized errors clustered, and a panel data analysis was used to obtain the relationship between Latin American countries and advanced and other emerging economies.FindingsThe main finding of this paper is that innovation overcomes gravity effects and parameters typical of a knowledge society are the significant ones to explain trade among different regions. The model that includes an innovation proxy accommodates with the new international theories of trade. Besides, communication capacity is essential to reach consumers abroad with newer and more complex products. Moreover, the constant is significant when innovation is included, which may imply intersectoral trade that behaves relatively stable in bilateral trade.Practical implicationsThe findings suggest that the economies that have some relevance in trade, have increasing numbers regarding patents. Thus, the empirical findings relate to the theoretical models which state that comparative advantages may be dynamic due to technological innovation.Originality/valueThis paper shows that innovation is a central parameter to engage in intratrade and develop a knowledge-based economy. Latin America sometimes appears to be a puzzle as to how to improve its economic performance and overcome its social and economic problems. Intratrade seems to be the route to increase Latin American business participation in world trade.
Ana María Vallina-Hernandez; Hanns De La Fuente-Mella; Rodrigo Fuentes-Solís. International trade and innovation: delving in Latin American commerce. Academia Revista Latinoamericana de Administración 2020, 33, 535 -547.
AMA StyleAna María Vallina-Hernandez, Hanns De La Fuente-Mella, Rodrigo Fuentes-Solís. International trade and innovation: delving in Latin American commerce. Academia Revista Latinoamericana de Administración. 2020; 33 (3/4):535-547.
Chicago/Turabian StyleAna María Vallina-Hernandez; Hanns De La Fuente-Mella; Rodrigo Fuentes-Solís. 2020. "International trade and innovation: delving in Latin American commerce." Academia Revista Latinoamericana de Administración 33, no. 3/4: 535-547.
The absence of a universal measurement of marketing productivity highlights an inability to measure the influence of marketing assets on company results. It is important, therefore, to develop measures and quantifiable models of marketing productivity, making it possible to understand and evaluate company performance. Following a review of the literature on the topic, this paper sets forth a Theoretical Model of Marketing Productivity (MTPM), to serve as a base for carrying out measurements of productivity through the identification of their determinant variables. The obtained results establish that marketing resources, financial performance, and price all exercise a positive effect on marketing productivity, while market-based assets exercise a negative effect.
Hanns De La Fuente-Mella. Econometric Modeling of Marketing Productivity for Service Sector. Advances in Intelligent Systems and Computing 2020, 11 -17.
AMA StyleHanns De La Fuente-Mella. Econometric Modeling of Marketing Productivity for Service Sector. Advances in Intelligent Systems and Computing. 2020; ():11-17.
Chicago/Turabian StyleHanns De La Fuente-Mella. 2020. "Econometric Modeling of Marketing Productivity for Service Sector." Advances in Intelligent Systems and Computing , no. : 11-17.
In Chile, the city councils are fundamental to the country’s decentralization, by introducing a more connected route of administration for and along with people, their problems, needs and desires to develop themselves. For the above, the elements that make it efficient and improve the quality of citizens’ life are essential. There are 346 city councils in Chile which belong to the different communes, for the following research there were selected the ones that have more than 50,000 habitants and that belong to regional capitals. So that the factors that influence the efficiency of the city council in Chile were determined, from the index of quality of life of the communes. Therefore, there was developed an econometric model which explained the determined factors for the efficiency of the city council in Chile. Moreover, there were identified the variables that have a greater impact on such efficiency.
Hanns De La Fuente-Mella; Mauricio Alvaro Martínez; Claudio Elórtegui Gómez; Matías Guajardo Calderón. Econometric Modeling of the Performance in the City Council of Chile. Advances in Intelligent Systems and Computing 2020, 151 -160.
AMA StyleHanns De La Fuente-Mella, Mauricio Alvaro Martínez, Claudio Elórtegui Gómez, Matías Guajardo Calderón. Econometric Modeling of the Performance in the City Council of Chile. Advances in Intelligent Systems and Computing. 2020; ():151-160.
Chicago/Turabian StyleHanns De La Fuente-Mella; Mauricio Alvaro Martínez; Claudio Elórtegui Gómez; Matías Guajardo Calderón. 2020. "Econometric Modeling of the Performance in the City Council of Chile." Advances in Intelligent Systems and Computing , no. : 151-160.
The purpose of this research is to determine the factors that affect the insertion and job positioning of women professional graduates of the public accountant and auditor of the Universidad del Bío-Bío, Chile. The data were obtained through a questionnaire applied to the graduates. Given the dichotomous nature of the dependent variable, logistic regression models are used, for which linear probability models will be used. Three different models are tested for the endogenous variables: average time it takes to find your first job; liquid remuneration of the graduate and the current position of the graduate. The results indicate that the variable that most affects the labor insertion is the recommendation of third parties, meanwhile, that for the job positioning is the postgraduate.
Hanns De La Fuente-Mella; Cecilia Gallegos Muñoz; Estela Rodríguez Quezada; Camila Inostroza Ocares; Mariana Lagos Pérez. Probabilistic Models of Job Placement and Positioning for Students with a Career in Chile. Advances in Intelligent Systems and Computing 2020, 516 -522.
AMA StyleHanns De La Fuente-Mella, Cecilia Gallegos Muñoz, Estela Rodríguez Quezada, Camila Inostroza Ocares, Mariana Lagos Pérez. Probabilistic Models of Job Placement and Positioning for Students with a Career in Chile. Advances in Intelligent Systems and Computing. 2020; ():516-522.
Chicago/Turabian StyleHanns De La Fuente-Mella; Cecilia Gallegos Muñoz; Estela Rodríguez Quezada; Camila Inostroza Ocares; Mariana Lagos Pérez. 2020. "Probabilistic Models of Job Placement and Positioning for Students with a Career in Chile." Advances in Intelligent Systems and Computing , no. : 516-522.
This research seeks to estimate a gravity model that allows to characterize trade between Latin American economies. An indexed triple gravity model is proposed, which considers fixed effects of time, exporting country and importing country. The gravity equations have been widely used for the prediction of international trade flows, but many of the models used for these purposes have problems of poor specification from an econometric point of view. Thus, the proposed model seeks to include simultaneously new variables or variables that have been consider independently, as well as, to provide a correct economic inference of the Latin American regional trade flows.
Ana María Vallina-Hernández; Pascalle Martinez; Claudio Gonzalez; Rodrigo Fuentes; Hanns De La Fuente-Mella. Gravity Models for Latin American Economies. Advances in Intelligent Systems and Computing 2020, 495 -501.
AMA StyleAna María Vallina-Hernández, Pascalle Martinez, Claudio Gonzalez, Rodrigo Fuentes, Hanns De La Fuente-Mella. Gravity Models for Latin American Economies. Advances in Intelligent Systems and Computing. 2020; ():495-501.
Chicago/Turabian StyleAna María Vallina-Hernández; Pascalle Martinez; Claudio Gonzalez; Rodrigo Fuentes; Hanns De La Fuente-Mella. 2020. "Gravity Models for Latin American Economies." Advances in Intelligent Systems and Computing , no. : 495-501.