Studies of Applied Economics最新文献_第5页

BANCA DE INVERSIÓN: INVERSIÓN EN NUEVAS TENDENCIAS 投资银行:投资新趋势

Studies of Applied Economics Pub Date : 2023-03-17 DOI: 10.25115/sae.v41i1.9082

Belén López Medina, Sara Fernández Mora, Deborah Llorente Gradus, Mercedes Peco Salas

引用次数: 0

An Essay on How Data Science Can Strengthen Business 一篇关于数据科学如何加强业务的文章

Studies of Applied Economics Pub Date : 2023-02-28 DOI: 10.25115/sae.v41i1.9158

Antonio Duarte Santos

{"title":"An Essay on How Data Science Can Strengthen Business","authors":"Antonio Duarte Santos","doi":"10.25115/sae.v41i1.9158","DOIUrl":"https://doi.org/10.25115/sae.v41i1.9158","url":null,"abstract":"Data science combines several extensions, including, e.g., statistics, scientific methods, artificial intelligence (AI) and data analysis to extract value from raw data. Analytical applications and data scientists can then verify and defer the results to discover patterns and trends. In this way, they allow business leaders to gain enlightened knowledge about the market. Companies have kept a wealth of data with them. As modern technology allowed for the creation and storage of ever-increasing amounts of information, data volumes popped. The wealth of data collected and stored by these technologies can bring regenerative benefits to organizations and societies around the world, but only if they can interpret it. That's where data science comes in. So, the applied economics refers to the application of economic theory and analysis. In this article we intend to present several software that are available for the application of economic analysis. Analysis can be performed on any type of data and is a way of looking at raw data and find useful information. There are several technologies available for economic analysis, with more or less characteristics, some of which are not only intended for this single purpose, and cover a wider spectrum of functionalities. Some of the technologies we will use are, e.g., Rstudio, SPSS, Statis and SAS/Stata. These are very common technologies when talking about economic or business analysis. The intention is to demonstrate how each of these software analyse the data and subsequently the interpretations that we can draw from that scrutiny. Organizations are using data science teams to turn data into a competitive advantage by refining products and services and cost-effective solutions. We will use some different algorithms to verify how they are processed by the different technologies, namely we will use metrics such as maximum, minimum, covariance, standard deviation, average and multicollinearity and variance, even the use of types of regression models.","PeriodicalId":210068,"journal":{"name":"Studies of Applied Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123387747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Impact of Business Digitalization on Energy Efficiency 商业数字化对能源效率的影响

Studies of Applied Economics Pub Date : 2023-02-28 DOI: 10.25115/sae.v41i1.9157

Ilaria Benedetti, Chiara Grazini, G. Guarini, T. Laureti

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Estratificación de secciones censales de la ciudad de Madrid aplicando diversas técnicas multivariantes 应用各种多元技术对马德里市的人口普查部分进行分层

Studies of Applied Economics Pub Date : 2023-02-15 DOI: 10.25115/sae.v41i1.9081

Jingya Zhang, Antonio Bermejo Aguña

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Is Income Level a Relevant Trigger to Decide Starting Refereeing? 收入水平是决定开始评审的一个相关因素吗?

Studies of Applied Economics Pub Date : 2023-02-14 DOI: 10.25115/sae.v41i1.9035

Iñaki Aliende, L. Escot

引用次数: 0

El papel del gasto de las entidades locales en la reducción de la desigualdad 地方政府支出在减少不平等方面的作用

Studies of Applied Economics Pub Date : 2023-02-14 DOI: 10.25115/sae.v41i1.9079

Leire Olmeda García

引用次数: 0

Tourism Reputation Index for Assessing Perceptions on Destinations Using Collaborative Text Data 利用协同文本数据评估目的地感知的旅游声誉指数

Studies of Applied Economics Pub Date : 2023-02-13 DOI: 10.25115/sae.v41i1.9076

Paula Antón Maraña, Bruno Baruque Zanón, Santiago Porras Alfonso, Pablo Arranz Val

{"title":"Tourism Reputation Index for Assessing Perceptions on Destinations Using Collaborative Text Data","authors":"Paula Antón Maraña, Bruno Baruque Zanón, Santiago Porras Alfonso, Pablo Arranz Val","doi":"10.25115/sae.v41i1.9076","DOIUrl":"https://doi.org/10.25115/sae.v41i1.9076","url":null,"abstract":"The tourism sector is experiencing a change in trend due to the widespread use of Web 2.0 by tourists. This phenomenon has prompted tourism agents to apply Big Data techniques and Business Intelligence tools to find out what tourists think. In this sense, the analysis of the Electronic Word Of Mouth in Social Networks is particularly relevant, and the academic literature has faced some difficulties in extracting data, determining its meaning and linking it to the destination. The aim of this work is to is to present the results that can be generated by the design of a tourism reputation index, through the analysis of data created collaboratively on the Twitter Social Network. For this purpose, a BI tool has been created to extract data from short text messages posted by users (tweets) and process them by implementing an Extract, Transform and Load process. In this process, Natural Language Processing is carried out, focusing on Sentiment Analysis tasks, applying an automatic classification model (Multinomial Naive Bayes) and then an automatic thematic categorisation of these texts depending on the words they contain. Subsequently, the data is analysed, calculating a global online reputation index based on sub-indexes of perception on different tourism aspects. These ratings are shown to users through an interactive dashboard, which allows comparison between different queries associated with a tourist location and a temporal period. This research helps tourism agents to better understand the public perception about destinations and make appropriate and well-informed decisions in real time, facilitating the intelligent management of data that enables the creation of smart tourism destinations with competitive, unique and sustainable advantages.","PeriodicalId":210068,"journal":{"name":"Studies of Applied Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121963241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Una aproximación a las características individuales y atributos de la atención primaria que influyen en la satisfacción con el Sistema Nacional de Salud de España 影响西班牙国家卫生系统满意度的初级保健的个人特征和属性的方法

Studies of Applied Economics Pub Date : 2023-01-31 DOI: 10.25115/sae.v41i1.9075

Santiago Batista-Toledo, I. L. Nieto-González

{"title":"Una aproximación a las características individuales y atributos de la atención primaria que influyen en la satisfacción con el Sistema Nacional de Salud de España","authors":"Santiago Batista-Toledo, I. L. Nieto-González","doi":"10.25115/sae.v41i1.9075","DOIUrl":"https://doi.org/10.25115/sae.v41i1.9075","url":null,"abstract":"La pandemia y la crisis sanitaria mundial que ha provocado la COVID-19 ha puesto de manifiesto la importancia de la inversión efectiva en el sistema sanitario público de las distintas regiones del mundo. No obstante, resulta quizás más importante que esa inversión sea percibida de utilidad por la ciudadanía y, sobre todo, efectiva, por lo que conocer y estudiar el nivel de satisfacción con la sanidad resulta crucial. Por ello, el objetivo de este trabajo es estudiar qué características individuales, así como del propio Sistema Nacional de Salud (SNS), son más relevantes en la percepción de satisfacción experimentada por el individuo. En concreto, se analizan atributos relativos al sistema sanitario en general y a la atención primaria en particular, dado que esta última es la primera línea del sistema y la más utilizada por la población. Se estima un modelo logit multinomial, empleando los microdatos del Barómetro Sanitario del Centro de Investigaciones Sociológicas (CIS) para el año 2019. Entre los principales resultados se encuentra que las jóvenes con estudios superiores que residen en municipios medianos y pequeños, tienen una mayor probabilidad de estar insatisfechas con el funcionamiento del sistema público. Por otra parte, el estado de salud autopercibido también resulta significativo. En términos de atributos de la atención primaria, el tiempo y la atención prestada durante la consulta, así como la seguridad transmitida por parte del personal sanitario, contribuyen significativamente a una mejor percepción del SNS en su conjunto. Las conclusiones extraídas permiten indicar que las inequidades generadas por las diferencias en inversión pueden ser claves para generar mayores o menores niveles de satisfacción, aunque otras características individuales y del SNS son útiles para llevar a cabo políticas sanitarias encaminadas a mejorar los niveles de satisfacción ciudadana.","PeriodicalId":210068,"journal":{"name":"Studies of Applied Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132331568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Marketing 5.0 and new technologies before and after the COVID-19 pandemic COVID-19大流行前后的营销5.0和新技术

Studies of Applied Economics Pub Date : 2023-01-30 DOI: 10.25115/eea.v40i3.7885

Fernando González-Ferriz

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El Aprendizaje de las Teorías Económicas a Través del Avance en la Currícula del Estudiante de Nivel Superior: Un Análisis Matemático para el Caso de la UAZ 通过高等教育学生课程进步学习经济理论:以UAZ为例的数学分析

Studies of Applied Economics Pub Date : 2023-01-30 DOI: 10.25115/sae.v41i1.8497

Marlen Hernández Ortiz, Juan Nicolas Moreno Mejía, Imelda Ortiz Medina, Pedro Plata Pérez

引用次数: 0