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This study aims to describe the process leading the climate emergency declaration (CED) at the University of Salamanca. In contrast to similar initiatives, this was achieved with the participation of students on the social movement Fridays For Future Salamanca.

The context of the CED is described. Statements in Spanish universities are used for comparison and internal reports and evaluations were analyzed to measure the progress. Testimonies from the proponents of the declaration and from the agents implementing actions were classified to describe the roles and dynamics involved in the participatory process. Twitter and newspapers are also used to complete the data triangulation.

The results show that Climate Emergency has been enriched by a bottom-up approach, generating challenges and opportunities to take into account when considering community participation. A university that aspires to be a role model for a low-carbon future needs to address how to construct efficient participatory mechanisms. In that matter, the authors propose their experience that might be useful for other institutions.

The CED is a common practice in universities but it is not always associated with specific actions and policies. In this case, the main feature is the students participation, in particular the social movement Fridays For Future.

This study aims to introduce a new instrument to assess the perception of the university community after the Climate Emergency Declaration (CED) and its application at the Universidad de Salamanca (USAL) in Spain. This CED includes a comprehensive program to reduce the carbon footprint and the introduction of the education for sustainable development in the curriculum. This study aims to understand the gap between perception and reality in the program's implementation and verify whether the student organization's initial push translates into higher approval ratings.

The authors conducted a cross-sectional analytical study. In this research, the authors used a sample of 731 people from the USAL community (67% students, 20% academics and the rest administrative and service staff).

The findings revealed that PhD students are the group with the highest perception of the policies implemented by the university to fight climate change, even higher than academics. In addition, the perception of the food, energy and sustainable mobility aspects of the program are good predictors: of the knowledge of the indicators and of the policy dimensions within the CED.

The university community perception survey for a CED process provides a gateway into the gaps between perception, expectations and reality. Moreover, it is helpful to engage its members in action plans to fight climate change and its impacts.

Curve fitting from unordered noisy point samples is needed for surface reconstruction in many applications. In the literature, several approaches have been proposed to solve this problem. However, previous works lack formal characterization of the curve fitting problem and assessment on the effect of several parameters (i.e. scalars that remain constant in the optimization problem), such as control points number (m), curve degree (b), knot vector composition (U), norm degree (k), and point sample size (r) on the optimized curve reconstruction measured by a penalty function (f). The paper aims to discuss these issues.

A numerical sensitivity analysis of the effect of m, b, k and r on f and a characterization of the fitting procedure from the mathematical viewpoint are performed. Also, the spectral (frequency) analysis of the derivative of the angle of the fitted curve with respect to u as a means to detect spurious curls and peaks is explored.

It is more effective to find optimum values for m than k or b in order to obtain good results because the topological faithfulness of the resulting curve strongly depends on m. Furthermore, when an exaggerate number of control points is used the resulting curve presents spurious curls and peaks. The authors were able to detect the presence of such spurious features with spectral analysis. Also, the authors found that the method for curve fitting is robust to significant decimation of the point sample.

The authors have addressed important voids of previous works in this field. The authors determined, among the curve fitting parameters m, b and k, which of them influenced the most the results and how. Also, the authors performed a characterization of the curve fitting problem from the optimization perspective. And finally, the authors devised a method to detect spurious features in the fitting curve.

This paper provides a methodology to select the important tuning parameters in a formal manner.

Up to the best of the knowledge, no previous work has been conducted in the formal mathematical evaluation of the sensitivity of the goodness of the curve fit with respect to different possible tuning parameters (curve degree, number of control points, norm degree, etc.).

This paper aims to analyze how psychosocial support influences caring activities toward indigenous older adults.

A descriptive study with the participation of 229 informal indigenous caregivers. The study considered both sociodemographic and medical variables. It used the mini-mental test to determine the cognitive level in the elderly. It applied the Yesavage and Zarit scales to establish depressive symptomatology and caregiver burden. Finally, the study used the MOS psychosocial support and Apgar screening questionnaires to assess the psychosocial dimension and the patient’s family functional state, respectively.

The study observed a low caregiver burden effect using the MOS questionnaire. This may be explained due to variability in the Zarit Scale Score product of other variables like years of care (−0.17 and −0.28), depressive symptoms (0.16 and 0.18), cognitive level (mini-mental) (−0.13 and −0.14) and comorbidity (0.26 and −0.27). The study obtained an incidence between (−0.02 and −0.12) when including all assessed dimensions into the model. The instrumental dimension in the social support questionnaire obtained the highest score.

Protective factors prevail in the group of indigenous caregivers allowing this activity to not trigger overload. Yet, variables such as the female gender, some comorbidities and the presence of depressive symptoms could be potential variables for dysfunction in this occupational role.

The purpose of this research is to determine the convenience of using a contract model as an integration mechanism for decision-making in a decentralized supply chain of small agricultural producers in a developing country, taking as hypothesis coordinated chain achieves better management. The analysis is based on information obtained by direct inquiry to 99 small producers in the region, about planning, production, marketing and distribution in the chain, supplemented with secondary information sources.

As a methodology an analysis of maturity in the chain based on the Capability Maturity Model Integration is done, whose evaluation is later analyzed as a fuzzy logic model, with the support of the fuzzy logic of the MATLAB toolbox, to study the convenience of the use of the contract against the other mechanisms, and to establish an approximation to the level of readiness of the chain toward integration.

Results obtained show that the small farmer supply chain studied, from a maturity perspective, has a strong disposition for the use of contracts as an integration mechanism.

The supply chain for small producers presents a high dispersion, little consolidated offer capacity and lack of coordination. Limitations in terms of information and criteria unification are a challenge for future research. Results have socioeconomic implications for small producers and can serve as a guide to formulate policies by the governments in Latin American countries.

As practical implications, it can be stated that the use of supply contracts is a real mechanism that can be implemented in this type of chain, to break the mistrust between the echelons and improve the supply chain performance. This research will allow to establish support programs from local governments for the sustainability and improving income of small producers. In addition, contracts will allow to formalize the linkage of small producers to a sustainable commercial network.

Small agricultural producers in developing countries live in unfavorable conditions, with socioeconomic limitations. This work offers an alternative for their productive activity development that will allow them access to marketing chains in a safe way and improve their living conditions.

Previous studies related to the maturity toward the chain integration and fuzzy logic as a hybrid methodology, were not found in the literature, and less even applied to a chain of small agricultural products.

This article examines strategic management research across Latin America from 1990 to 2023, addressing four critical inquiries: the themes prevalent in strategic discussions, the leading countries in strategic management (SM) publications, the defining characteristics of strategic research in major Latin American economies and the reflection on whether Latin America is a region that generates or follows the knowledge of the Global North.

Utilizing co-occurrence analysis, this study maps the terrain of SM research in the region, analyzing 4,963 articles indexed in the Scopus database. The authors employed a co-occurrence analysis to map SM research in Latin America, analyzing 4,963 articles from the Scopus database.

Predominant themes include the theoretical underpinnings of strategy, sustainable development, innovation, tourism and international trade. Brazil, Mexico, Colombia and Chile have emerged as leaders in research volume and thematic diversity, particularly in sustainable development and innovation.

By identifying patterns, behaviors and trends in SM research, the authors uncover methods and tools that, once contextualized for the region, can significantly enhance organizational performance.

This investigation is a pioneering effort, providing a focused analysis on SM research within Latin America. It highlights significant contributions since 1990 across the region's main economies. This study represents one of the first comprehensive mappings of this academic field within Latin America. This is the first article, to the authors’ knowledge, developed to map the intellectual structure of the SM field in Latin America through an analysis of co-occurrences, with emphasis on the region's main economies.

This article is based on the assumption that entrepreneurship improves quality of life (HDI). Its main objective is to establish causal relationships between entrepreneurship variables such as credits, innovation (R&D), business growth, foreign direct investment and the Global Competitiveness Index and how these have influenced a country's development.

To analyse and validate this assumption, relevant information has been extracted about Ecuador (the subject of the study) for the 1998–2017 period. The information has received the respective econometric treatment, through a multivariate estimation by the autoregressive vector (ARV) method that made it possible to establish impulse-response functions.

The results indicate that there is a significant and positive statistical impact between the variables related to entrepreneurship and quality of life (HDI), with the exception of “Innovation”, which is not representative in the model, demonstrating that the investment made at country level in R&D is not sufficient to have an impact on the HDI. It was also determined that promoting entrepreneurship would be useful as this would alter the trend of the variables, making them conducive to increasing the HDI.

This article is one of the few to address this issue. It includes the self-regressive vector model as a key methodology used to evaluate and establish public policies. RVM has provided positive results in the field of economics and can be adopted in the area of entrepreneurship.

El presente artículo se basa en el supuesto de que el emprendimiento mejora la calidad de vida de los individuos (IDH), siendo el objetivo principal establecer relaciones causales entre variables de emprendimiento como: Créditos, Innovación (I + D), Crecimiento Empresarial, Inversión Extranjera Directa e Índice de Competitividad Global; y, como estas han influido en el desarrollo de un país.

Para el análisis y validación del supuesto mencionado anteriormente, se ha extraído información relevante sobre el Ecuador (sujeto de estudio) para el período comprendido entre 1998 y 2017, a los cuales se les ha dado el respectivo tratamiento econométrico, a través de una estimación multivariante por el método de Vectores Autorregresivos (VAR) que permitió establecer funciones de impulso – respuesta.

Los resultados señalan que existe una significativa incidencia estadística entre las variables relacionadas con el emprendimiento y la calidad de vida (IDH) de manera positiva, a excepción de la “Innovación” que no tiene representatividad en el modelo, demostrando que la inversión realizada a nivel país en I + D es insuficiente para impactar el IDH. También se determinó la conveniencia de impulsar el emprendimiento, pues esto cambia la tendencia de las variables haciéndolas favorables para el crecimiento del IDH.

Este artículo es uno de los pocos en abordar esta problemática, además incluye el Modelo de Vectores Autorregresivos como una metodología clave para evaluar y establecer políticas públicas, que ha brindado resultados positivos en el campo de la Economía y que puede adoptarse en la rama del Emprendimiento.

This study aims to describe and analyze the differences in the linguistic styles of honest and dishonest stories.

This paper uses a descriptive study with a multivariate analysis of linguistic categories according to the story. The research analyzed 37 honest stories and 15 dishonest stories produced during actual legal proceedings through software Linguistic Inquiry and Word Count (LIWC).

The authors find that individuals who engage in deception use a different number of words when they narrate facts. The results suggest a need for additional investigation of the linguistic style approach because of its high applicability and detection accuracy. This approach should be complemented by other types of verbal, nonverbal and psychophysiological deception detection techniques.

Among the limitations, the authors consider length of the stories should be considered and scarce scientific literature in Spanish to compare with outcomes in English.

This research highlights the relevance to include linguistic style in real contexts to differentiate honest and dishonest stories due to objectivity and agility to implement.

Understanding deception as a social behaviour and its psychological processes associated are elements that contribute to people and justice to comprehend it.

Analyzing real statements and discriminate differences in linguistic style, contribute to understand deeply this important behaviour to propose new methodologies and theories to explain it.

The purpose of this study is to identify the key factors that drive social entrepreneurship (SE) among Ecuadorian social entrepreneurs.

The study was developed following a qualitative and exploratory research design based on the identification of social entrepreneurs through the nonprobabilistic sequential sampling technique, giving a total of fifteen social entrepreneurs who were given a structured interview that was later analyzed in the ATLAS.TI software for the identification, analysis and categorization of drivers.

The results will identify eight drivers for SE, including social exclusion, public support, sources of employment, economic income, family support, environmental awareness and fair trade, as standards and values. Overall, the findings help to improve the understanding of the factors that determine the creation and development of social enterprises in the country.

Deepen and increase the literature on SE in Latin America. Contribute to reducing the knowledge gap on the topic.

Taken together, the results provide empirical evidence and help to better understand the factors that determine the creation and development of social enterprises in the country.

Identificar los factores clave que impulsan el emprendimiento social en emprendedores sociales ecuatorianos.

El estudio se desarrolló siguiendo un diseño de investigación cualitativo y exploratorio basado en la identificación de emprendedores sociales a través de la técnica de muestreo secuencial no probabilístico, obteniendo un total de quince emprendedores sociales a quienes se les realizó una entrevista estructurada que posteriormente fue analizada en el software ATLAS.TI para la identificación, análisis y categorización de impulsores.

Los resultados identificarán ocho impulsores del empresariado social, entre los que se encuentran la exclusión social, el apoyo público, las fuentes de empleo, los ingresos económicos, el apoyo familiar, la conciencia medioambiental y el comercio justo, como normas y valores. En general, los resultados ayudan a mejorar la comprensión de los factores que determinan la creación y el desarrollo de empresas sociales en el país.

En conjunto, los resultados aportan evidencia empírica y ayudan a comprender mejor los factores que determinan la creación y desarrollo de empresas sociales en el país.

Profundizar e incrementar la literatura sobre Emprendimiento Social en América Latina. Contribuir a reducir la brecha de conocimiento sobre el tema.

Identificar os principais fatores que impulsionam o empreendedorismo social nos empreendedores sociais equatorianos.

O estudo foi desenvolvido de acordo com um projeto de pesquisa qualitativo e exploratório baseado na identificação de empreendedores sociais por meio da técnica de amostragem sequencial não probabilística, totalizando quinze empreendedores sociais que foram submetidos a uma entrevista estruturada, posteriormente analisada no software ATLAS.TI para identificação, análise e categorização dos fatores determinantes.

Os resultados identificarão oito motivadores do empreendedorismo social, incluindo exclusão social, apoio público, fontes de emprego, renda econômica, apoio familiar, consciência ambiental e comércio justo, como padrões e valores. Em geral, os resultados ajudam a melhorar a compreensão dos fatores que determinam a criação e o desenvolvimento de empresas sociais no país.

Em conjunto, os resultados fornecem evidências empíricas e ajudam a entender melhor os fatores que determinam a criação e o desenvolvimento de empresas sociais no país.

Aprofundar e aumentar a literatura sobre empreendedorismo social na América Latina. Contribuir para reduzir a lacuna de conhecimento sobre o tema.

Different studies relate the presence of depression to lower cognitive performance and higher functional dependence in older people; however, this is not entirely clear. The purpose of this study is to validate the existence between the association of these conditions.

Cross-sectional and descriptive study was conducted in which the memory, metamemory and global functionality test performance of depressed and non-depressed participants was compared between two groups, one cognitively healthy and other with cognitive decline. The participants were 420 older adults, with an average age of 69 and five years of schooling.

The importance of describing cognitive performance in older adults with depression may provide evidence to support an adequate differential diagnosis and the design of an adequate future therapeutic plan. Identifying and preventing depression in the elderly can improve health and well-being in the elderly.

Depression is a prevalent and highly disabling disease. When it is suffered by an older person, it is associated with higher mortality, functional dependence, poor physical health, worse quality of life indicators and psychological well-being. In the elderly, the clinical diagnosis of depression is difficult, as it has a high comorbidity and is often confused with other health conditions prevalent during older adulthood.