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The 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.

A 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.

The 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.

The 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.

This 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.

El propósito de este documento es comparar y contrastar las características comerciales internacionales del comercio entre los países latinoamericanos y algunas de las principales economías del mundo, con el fin de identificar nuevas oportunidades de negocios para las empresas de LATAM en mercados externos dinámicos.

Se utilizó un modelo de gravedad triple indexado el que se corrigió con errores robustos estandarizados clusterizados, y un análisis de datos de panel para obtener la relación entre los países latinoamericanos y las economías avanzadas y otras economías emergentes.

Uno de los principales hallazgos es que la incorporación de la innovación en el modelo anula el efecto de las variables típicas asociadas a la gravedad. Por lo que se podría suponer que, los parámetros propios de una sociedad del conocimiento son más importantes para explicar el comercio entre las diferentes regiones. El modelo incluye un variable de innovación que se adapta a las nuevas teorías internacionales del comercio. Otro hallazgo es que la capacidad de comunicación es esencial para llegar a los consumidores en el extranjero con productos más nuevos y complejos. Por último, la constante es significativa cuando se incluye la innovación, lo que podría implicar un comercio intersectorial que se comporta relativamente estable en el comercio bilateral.

Los resultados sugieren que las economías que tienen cierta relevancia en el comercio poseen un número creciente de patentes. Por lo tanto, los hallazgos empíricos se relacionan con los modelos teóricos que establecen que las ventajas comparativas pueden ser dinámicas debido a la innovación tecnológica.

Este documento muestra que la innovación es un elemento central para participar en el comercio interno y desarrollar una economía basada en el conocimiento. América Latina a veces parece ser un enigma sobre cómo mejorar su desempeño económico y superar sus problemas sociales y económicos. El comercio intraindustrial parece ser la ruta para aumentar la participación empresarial de América Latina en el comercio mundial.

This paper aims to perform an exhaustive revision of relevant and recent related studies, which reveals that both extraction methods are currently used to analyze credibility on Twitter. Thus, there is clear evidence of the need of having different options to extract different data for this purpose. Nevertheless, none of these studies perform a comparative evaluation of both extraction techniques. Moreover, the authors extend a previous comparison, which uses a recent developed framework that offers both alternates of data extraction and implements a previously proposed credibility model, by adding a qualitative evaluation and a Twitter-Application Programming Interface (API) performance analysis from different locations.

As one of the most popular social platforms, Twitter has been the focus of recent research aimed at analyzing the credibility of the shared information. To do so, several proposals use either Twitter API or Web scraping to extract the data to perform the analysis. Qualitative and quantitative evaluations are performed to discover the advantages and disadvantages of both extraction methods.

The study demonstrates the differences in terms of accuracy and efficiency of both extraction methods and gives relevance to much more problems related to this area to pursue true transparency and legitimacy of information on the Web.

Results report that some Twitter attributes cannot be retrieved by Web scraping. Both methods produce identical credibility values when a robust normalization process is applied to the text (i.e. tweet). Moreover, concerning the time performance, Web scraping is faster than Twitter API and it is more flexible in terms of obtaining data; however, Web scraping is very sensitive to website changes. Additionally, the response time of the Twitter API is proportional to the distance from the central server at San Francisco.

The purpose of this paper is to investigate the influence of different dietary fibers on color, nutritional, physico-chemical, sensory and textural properties of fresh sausage.

This study was undertaken to determine the effects of partial beef meat substitution (15, 10.5 and 6 percent) at different combinations: barley beta-glucan concentrate (BBC at 1 percent) alone, carrot fiber (ID809 at 1 percent) alone and a mixture of both fibers (BBC and ID809 at 0.5 percent of each), on the quality of fresh sausage.

Results revealed that the supplementation of dietary fibers generally decreased protein contents and increased moisture. Color parameters were significantly affected by the addition of dietary fibers. Meat substitution with dietary fibers tended toward red coloration, which enhanced sensory properties of fresh sausages, especially general acceptability. Fresh sausages formulated with a mixture of dietary fibers recorded good firmness. Indeed, it increased extrusion force values and provided a greater hardness at sensory level. This manuscript reports that beef sausage formulated with a mixture of BBC and ID809 and reduced beef meat rate improved acceptability to consumer.

The paper approaches a new subject that may be relevant to functional food. There are few research works to evaluate consumer preferences of new product developments and to achieve healthier and more economic fresh sausages formulated with a mixture of two fibers after reducing beef meat content.

There are wide variations in the extent to which investment decisions are taken on the basis of formal financial analysis since many factors that should mediate interpretations of “bottom‐up financial analyses” (BUFAs) do not, due to omissions or other informational deficiencies in the analyses. Organisational design influences the provision of information regarding the various factors in the investment decision. A model of investment decision making that emphasises organisational contexts may provide a useful point of departure for the design of effective and comprehensive investment decision support systems. An analysis is made of mediating factors which are then classified as to whether or not they can be accounted for in principle in an ideal BUFA.

This paper proposes a revised analytical model for accounting professionals that can be used to evaluate the financial well being of innovative companies that rely on earnings management practices (EM) for their growth. Through an analysis of corporate governance, financial reporting standards, and ratio analysis this paper reaches the conclusion that Enron extended previously researched earnings management practices that could have been detected in early 2000. Results of the analysis indicate that by using price book, price earnings multiple, net margin percentage, and return on assets, and taking into consideration the so‐called risk management activities which seemed to disguise highly volatile speculative derivative‐based activities, Enron was headed for implosion at least one year before its collapse.

This study aims to properly and objectively assess the students’ study progress in bachelor programmes by applying statistical process control (SPC). Specifically, the authors focused their analysis on the variation in performance rates in business studies courses taught at a Spanish University.

A qualitative methodology was used, using an action-based case study developed in a public university. Previous research and theoretical issues related to quality indicators of the training programmes were discussed, followed by the application of SPC to assess these outputs.

The evaluation of the performance rate of the courses that comprised the training programs through the SPC revealed significant differences with respect to the evaluations obtained through traditional evaluation procedures. Similarly, the results show differences in the control parameters (central line and control interval), depending on the adopted approach (by programmes, by academic year and by department).

This study has inherent limitations linked to both the methodology and selection of data sources.

The SPC approach provides a framework to properly and objectively assess the quality indicators involved in quality assurance processes in higher education.

This paper contributes to the discourse on the importance of a robust and effective assessment of quality indicators of the academic curriculum in the higher education context through the application of quality control tools such as SPC.

The current depletion of fossil fuels and environmental degradation are requiring greater energy efficiency in buildings, particularly in the residential sector. However, environmental improvement actions for dwellings are usually based on general considerations, without identifying the most appropriate measurements to be taken in each case, or reviewing their application with stakeholders. This article puts forward a strategy to propose effective and feasible modifications in the design or refurbishment of single-family homes to reduce energy use while maintaining indoor comfort. The improvements proposed are based on dynamic energy simulations of individual models adapted to local realities that can be carried out by regular professionals. The process includes the review of studies and information on the geographic area, and compilation of the constructive features and occupancy data of each house to create a proper energy behaviour model. Possible improvements to the building are then simulated separately in each model and the results recorded. Subsequently, a budgetary analysis of these alternatives according to construction costs and financial projections is carried out in order to identify retrofit packages and consult the opinions of residents and builders. The application of this strategy is demonstrated in the study of several houses in Concepción, Chile, where different sets of measures have been identified to achieve high reductions in energy demand while having low cost and being highly appreciated by the participants. This provides a methodology for developing and validating effective solutions for the environmental improvement of existing dwellings and new housing projects.

The purpose of this paper is to gain a better understanding of the antecedents of the quality of graduates’ jobs when they enter the job market after university graduation.

Survey data collected from 173 Spanish bachelor and master’s degree university graduates at two time points (two months before and six months after graduation, approximately) were analyzed by means of path analysis.

A moderated mediation model was tested, where the relationship between the horizontal fit (HF) between the university degree subject and the student’s job and the quality of the graduate’s job after graduation is mediated by self-perceived employability and moderated by the time devoted to a student job. Results showed that the relationship between HF and job quality was partially mediated by self-perceived employability. However, contrary to the proposed hypothesis, this relationship did not depend on the time devoted to a student job.

This study contributes to improving the understanding about how and why university students’ work experience is related to the quality of their jobs as fresh graduates.