En un contexto económico, social, político y sanitario marcado por la emergencia de la pandemia causada por la enfermedad COVID19, las Mipymes son afectadas especialmente debido a sus escasos recursos, alta vulnerabilidad de pérdidas por el distanciamiento social y limitado financiamiento en comparación con grandes empresas. Se determinaron las relaciones entre las principales problemáticas a nivel empresarial de empresas del sector alimentos y bebidas en México, así como las contingencias diferenciadas a nivel regional a las que se enfrentan. Se muestra una correlación significativa y positiva entre las contingencias empresariales, mientras que existe una notable diferencia en las problemáticas de cada región, con énfasis en las empresas ubicadas en la región Oeste con las demás regiones. Se propone la necesidad de una estrategia multivariada que atienda problemáticas de gestión que aparecen en forma simultánea para la gestión de las Mipymes, y en forma diferenciada por región del país.
Objetivo. El objetivo de este artículo es proporcionar una visión general de la investigación realizada en gestión de partes interesadas utilizando métodos bibliométricos, para analizar tres factores principales relevantes: productividad general, enfoques de investigación y estructura de influencia a nivel de país, institución, autor y tema relacionado. Métodos. El análisis realizado en el presente trabajo tomará en consideración indicadores bibliométricos.Resultados. La principal ventaja de este enfoque es que identifica a los autores, revistas, instituciones y países más productivos e influyentes que presentan la mayor productividad en el campo. Al hacerlo, el lector puede identificar claramente dónde se está llevando a cabo la investigación líder desde 1969 a la fecha.Conclusiones. Los resultados muestran que existe una importante concentración de la productividad principalmente en siete países: Estados Unidos, Reino Unido, Australia, Canadá, Países Bajos, Alemania y España, con un predominio global de Estados Unidos en términos de citación total.
The objective is to analyze the impact of the location in the quality perception of customers. Data was obtained from the stars-based valuation of Airbnb website, considering a standardized option of accommodation just apartments of one room up to two guest maximum, with an average cost of USD 50 per night and located in four cities: New York and Miami in USA, and Mexico City and Cancun in Mexico, using a chi-square analysis to identify if there is a difference in quality perception considering if the destination place have beach or not. The results showed than departments located in New York had the most significant difference in valuation of quality of hosts.
The crisis considered as the "Great Confinement" caused by the outbreak of the COVID-19 disease has had a multidimensional impact on humanity, on a health, social, economic, and political level. One of the main effects has been reflected in an economic crisis unparalleled in human history. In the economic history of the human being, each crisis of a wide magnitude has demonstrated a relationship between sociodemographic and economic factors and the growth of the informal economy, such as the level of earnings, scholarship, search of an extra job sex and levels of inequality and poverty. Method: Database was obtained from harmonized surveys made available by INEGI and SHCP, from where both quantitative and categorical data were identified that correspond to the structuralist and institutionalist dimension of informality. Based on that, we applied a Logit model to determine the probability of a person to belong to the informal sector of the economy, and a Probit model to identify reiterated variables of the model as well. Results: Statistically representative variables to determine the probability to belong to the informal sector, with a global percentage of 72.5 %, are the years of school, age, economic inequality, percentage of poverty in each state, the degree of spending in fiscal obligations, the level of fiscal compensations due to belonging to RIF, the type of occupation, sex and the level of minimal wages earned. Discussion or Conclusion: Considering the findings of the research, it is possible to infer that the people with higher risk of falling in the informality and continuing in it, show a characteristic profile that can be considered as a valid base to design effective public policies to reduce informality. The present research contributes trough the identification of a model that describes the profile of an individual with a higher probability of integrate to the informal sector of the economy, considering both sociodemographic and market structure factors, considering the effect of the pandemics in the current economic conditions.
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