Intención empresarial: un enfoque bibliométrico

[EN] This paper aims to present a bibliometric analysis of the literature on an entrepreneurial intention that considers different topics to enhance starting a business. Using the Core collection of the Web of Science, 1,549 papers are found from 1900 to December 2020 to be analyzed. The analysis is focused on documents, authors, journals, countries, and keywords to detect areas and trends in this field of study. Likewise, bibliographic couplings, co-citation, and co-occurrences are analyzed. Findings show that the field has started to grow since 2010; the most influential authors and universities are in Spain and Taiwan, such as the case of Liñan, Liang, Ip, and Moriano.[ES] El objetivo principal de este trabajo es presentar un análisis bibliométrico de la literatura sobre la intención emprendedora que considere diferentes temas relacionados con la mejora de la puesta en marcha de negocios. Utilizando la colección Core de la Web of Science se encuentran un total de 1.549 artículos desde 1900 hasta diciembre de 2020 para ser analizados. El análisis se centra en documentos, autores, revistas, países y palabras clave para detectar áreas y tendencias en este campo de estudio. Asimismo, se analizan los acoplamientos bibliográficos, la co-citación y las co-ocurrencias. Los resultados muestran que el campo comienza a crecer desde 2010, que los autores y universidades más importantes están en España y Taiwán, tal es el caso de Linan, Liang, Ip y Moriano.This research was funded by Universidad Pedagogica y Tecnologica de Colombia, grant number SGI 3134, and the Chilean Government through FONDECYT initiation, grant number 11190056. Research supported by Red Sistemas Inteligentes y Expertos Modelos Computacionales Iberoamericanos (SIEMCI), project number 522RT0130 in Programa Iberoamericano de Ciencia y Tecnologia para el Desarrollo (CYTED

Group-decision making with induced ordered weighted logarithmic aggregation operators

This paper presents the induced generalized ordered weighted logarithmic aggregation (IGOWLA) operator, this operator is an extension of the generalized ordered weighted logarithmic aggregation (GOWLA) operator. It uses order-induced variables that modify the reordering process of the arguments included in the aggregation. The principal advantage of the introduced induced mechanism is the consideration of highly complex attitude from the decision makers. We study some families of the IGOWLA operator as measures for the characterization of the weighting vector (...

La evolución del discurso sobre sostenibilidad; un análisis lingüistico de afinidad

La presente investigación tiene como objetivo principal explorar las relaciones entre los textos sobre sostenibilidad a través del tiempo, haciendo visibles los discursos, sus puntos de origen y el grado de afinidad existente entre las prácticas discursivas específicas sobre la sostenibilidad, mediante la agrupación de la literatura como son documentos y tratados en el marco de la sostenibilidad. El método utilizado para extraer los grupos más afines es el Algoritmo de Pichat y la distancia relativa de Hamming. Los resultados obtenidos muestran 10 grupos de documentos afines por temáticas sobre sostenibilidad, los cuales no necesariamente siguen un patrón consecutivo en el tiempo, su agrupación se inclina a los ejes centrales o perspectivas sobre la sostenibilidad

La evolución del discurso sobre sostenibilidad. Un análisis lingüístico de afinidad

The main objective of this research is to explore the relationships between the texts on Sustainability over time, making visible the discourses, their points of origin, and the degree of affinity between the specific discursive practices on Sustainability, by grouping the Sustainability such as documents and treaties within the framework of Sustainability. The method used to extract the most related groups is the Pichat Algorithm and the Hamming relative distance. The results show 10 groups of related documents by themes on Sustainability, which do not necessarily follow a consecutive pattern over time, their grouping leans towards the central axes or perspectives on Sustainability.La presente investigación tiene como objetivo principal explorar las relaciones entre los textos sobre sostenibilidad a través del tiempo, haciendo visibles los discursos, sus puntos de origen y el grado de afinidad existente entre las prácticas discursivas específicas sobre la sostenibilidad, mediante la agrupación de la literatura como son documentos y tratados en el marco de la sostenibilidad. El método utilizado para extraer los grupos más afines es el Algoritmo de Pichat y la distancia relativa de Hamming. Los resultados obtenidos muestran 10 grupos de documentos afines por temáticas sobre sostenibilidad, los cuales no necesariamente siguen un patrón consecutivo en el tiempo, su agrupación se inclina a los ejes centrales o perspectivas sobre la sostenibilidad

Fuzzy systems and applications in innovation and sustainability

One of the main characteristics of humankind is the ability to interpret via natural language incomplete, imprecise, vague, subjective, fragmentary, or scarce information i.e. information in uncertainty and transform it to actions, reason and decision-making [9]. Fuzzy sets theory firstly introduced the treatment of such concepts in 1965 with the foremost influential paper "Fuzzy Sets" [29]. The groundbreaking standpoint of fuzzy systems allows the treatment of uncertain information with the utilization of a strict mathematical framework [8]. Ever since the publication of the pivotal paper from Zadeh, a plethora of contributions have shaped the fuzzy sets theory scope and applications, from developments in engineering, mathematics, computer, decision, life, physical, health, social sciences and humanities [17 (...

Logarithmic aggregation operators and distance measures

The Hamming distance is a well‐known measure that is designed to provide insights into the similarity between two strings of information. In this study, we use the Hamming distance, the optimal deviation model, and the generalized ordered weighted logarithmic averaging (GOWLA) operator to develop the ordered weighted logarithmic averaging distance (OWLAD) operator and the generalized ordered weighted logarithmic averaging distance (GOWLAD) operator. The main advantage of these operators is the possibility of modeling a wider range of complex representations of problems under the assumption of an ideal possibility. We study the main properties, alternative formulations, and families of the proposed operators. We analyze multiple classical measures to characterize the weighting vector and propose alternatives to deal with the logarithmic properties of the operators. Furthermore, we present generalizations of the operators, which are obtained by studying their weighting vectors and the lambda parameter. Finally, an illustrative example regarding innovation project management measurement is proposed, in which a multi‐expert analysis and several of the newly introduced operators are utilized

The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar and APOGEE-2 Data

This paper documents the seventeenth data release (DR17) from the Sloan Digital Sky Surveys; the fifth and final release from the fourth phase (SDSS-IV). DR17 contains the complete release of the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey, which reached its goal of surveying over 10,000 nearby galaxies. The complete release of the MaNGA Stellar Library (MaStar) accompanies this data, providing observations of almost 30,000 stars through the MaNGA instrument during bright time. DR17 also contains the complete release of the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) survey which publicly releases infra-red spectra of over 650,000 stars. The main sample from the Extended Baryon Oscillation Spectroscopic Survey (eBOSS), as well as the sub-survey Time Domain Spectroscopic Survey (TDSS) data were fully released in DR16. New single-fiber optical spectroscopy released in DR17 is from the SPectroscipic IDentification of ERosita Survey (SPIDERS) sub-survey and the eBOSS-RM program. Along with the primary data sets, DR17 includes 25 new or updated Value Added Catalogs (VACs). This paper concludes the release of SDSS-IV survey data. SDSS continues into its fifth phase with observations already underway for the Milky Way Mapper (MWM), Local Volume Mapper (LVM) and Black Hole Mapper (BHM) surveys

Business Innovation: measurement, treatment and decision making in uncertain environments

[eng] It is generally accepted that innovation is a source of competitiveness for companies and nations. The impact of innovation activities on business performance ranges from the effect on sales and market share to the improvement of productivity and operational efficiency. At a national level, the main effects of innovative activities are characterized by the raise of the sectorial competition, this increases the yield of the productive industry, along to the systematical permeation of know-how to the linked business networks. The first definition of the concept of innovation was established by Schumpeter (1934), indicating that innovation is what we call in a non-scientific way, economic progress. The UK Department of Trade and Industry (DTI, 1998) mentions that innovation is the successful exploitation of new ideas. The Oslo Manual (OECD, 2006) indicates that an innovation is the implementation of a new or significantly improved product (good or service), or process, a new marketing method, or a new organizational method in business practices, workplace organization or external relations. It is noteworthy that the concept of innovation involves elements such as economic progress, business success, successful exploitation, etc. But, how does this happens exactly? Identifying the implications of innovative activities in business performance is highly relevant, as it opens a path for assisting a key issue in innovation research: systematically determine which resources, from those intended to manage continuous change within companies are justified, moreover, categorize which of them have had a major impact on the organization’s goals and objectives. The formula to address the previous question is somehow logical and has been widely studied by several authors. It consists on collecting information of the determinants of success or failure of companies in specialized studies on innovation management, then generating a list with the most relevant and frequent characteristics and elements, finally applying a scoring system to the selected best practices (Tidd and Bessant, 2013). However, that method faces complex challenges in the innovation environment: the heterogeneous terminology, dissimilar views and definitions of the concept, among other elements obstruct a standard measurement framework. Thus a correct evaluation, quantification and comparison of the innovative competencies of the organizations is highly challenging, since there is no single or main tendency to evaluate the measure of innovation. It is conventionally accepted that innovation is a concept demarcated by uncertainty. Thus, one of the most recurring problems is to treat innovation information with traditional methodologies, "the uncertainty that the innovation process entails is manifested by the fact that only one third of the new products introduced in the market end up being successful, a proportion that seems not to have been overcome in the last decades" (Velasco et al., 2008). Despite innovation is, by its nature, governed by random processes, in the business reality innovation must be the result of a deliberate process, guided by human intuition, intelligence and foresight (Cotec, 1999). It is therefore necessary to understand and manage the innovation process, so that there is little room for chance (Tidd; Bessant and Pavitt, 2005). Motivated on shedding light to the scientific gap found in the literature, we present our proposal, which is mainly focused in the application of methodologies and techniques for the treatment of information under uncertainty towards innovation management measurement and its interlaced complex decision-making process.[spa] Es generalmente aceptado que la innovación es una fuente de competitividad para las empresas y para las naciones. El impacto de las actividades de innovación sobre los resultados de las empresas va desde el efecto sobre las ventas y la cuota del mercado hasta la mejora de la productividad y la eficiencia operacional. Los principales beneficios a nivel de nación se distinguen por el incremento de la competencia sectorial, lo cual eleva el rendimiento total de los factores productivos, así como el derrame del nuevo saber-hacer, que permea de forma sistémica las redes empresariales. Es notorio que alrededor del concepto de innovación se encuentran elementos tales como progreso económico, éxito empresarial, solución de problemas, etc. Por lo tanto, identificar las implicaciones que las actividades innovadoras suponen al rendimiento de las empresas es relevante, ya que abre camino para asistir un aspecto clave entorno a la innovación: determinar de forma sistemática qué recursos, de aquellos destinados a gestionar el cambio continuo dentro de las empresas es justificable, y más aún, cuáles de ellos han impactado mayormente a los objetivos y metas de la organización. La fórmula para conocer éste aspecto clave resulta de cierta forma lógica y previamente estudiado por varios autores. Consiste en recopilar información del éxito o fracaso empresarial documentado en estudios especializados en factores determinantes de innovación, a continuación, generar una lista con las características y elementos más relevantes y frecuentes, finalmente aplicar un sistema de puntuación con las mejores prácticas encontradas, sin embargo, tal método se enfrenta a retos complejos como lo es la heterogénea terminología, disimiles puntos de vista alrededor de la innovación y desemejantes definiciones del concepto. Así pues, una correcta evaluación, cuantificación y comparación de las competencias innovadoras de las organizaciones es complejo ya que no existe una tendencia única o principal para evaluar la medida la innovación. Motivados por acortar la brecha científica encontrada en la literatura, presentamos nuestra propuesta, que se centra en la aplicación de técnicas para el tratamiento de la información en la incertidumbre destinadas a apoyar la toma de decisiones hacia la gestión de la innovación y el cambio continuo en la empresa

Forgotten effects in the valuation of the social well-being index in Mexico's sustainable development

The economic, social and environmental crises of recent years have caused a global concern for the need to find mechanisms that enable efficient development processes and that lead countries towards sustainability. In particular, emerging countries have specific characteristics that force them to face the issue of sustainable development under a very particular vision about how actions should be taken to generate public policies and programmes that suit their own needs and the well-being of their citizens. With this perspective, our study presents a methodology based on the model of forgotten effects developed by Kaufmann and Gil Aluja. This methodology quantifies (using expert groups) the relationship between the indicators of Mexico's social progress index and its sustainability to determine the incidence of the components of this index in the country's sustainability activities, with the objective of providing elements for better decision-making in the design of strategies, actions and public policies aimed at the sustainable development of the natio