COURSES FOR FREE, REGISTER NOW
Creative in research and teaching.
Estimado colega:
La revista Mathematics (ISSN 2227-7390, JCR Rank Q1) ha abierto un número especial titulado "Partial Least Squares Structural Equation Modeling (PLS-SEM) Applications in Economics and Finance". Pensamos que podrías hacer una excelente contribución basada en tu experiencia. El plazo de envío es hasta el 31 de octubre de 2021.
Partial Least Squares Structural Equation Modeling (PLS-SEM) es una técnica estadística de análisis de datos de nueva generación que, a pesar de su reciente creación, está ganando popularidad entre los académicos de forma exponencial: ha atraído el interés de los investigadores en diversas metodologías, llegando a ser una técnica viva, en constante evolución. En el mundo actual, los gestores de las empresas privadas y las administraciones públicas, académicos e investigadores tienen a su disposición un ingente volumen de datos para analizar en la toma de decisiones y el descubrimiento de nuevos hallazgos. Esto requiere el establecimiento de un marco teórico, el uso de ciencias tales como las matemáticas y la estadística, así como experiencia e intuición. En este sentido, PLS-SEM supone una técnica multivariante de análisis de datos que combina metodologías de regresión y análisis linear. Este Special Issue se centra en la aplicación de PLS-SEM en Economía y Finanzas, proporcionando una plataforma para que los investigadores presenten artículos novedosos y originales con resultados atractivos.
Para más información, por favor, mire el link de la web del Special Issue:
https://www.mdpi.com/journal/mathematics/special_issues/PLS-SEM
Guest Editors: María del Carmen Valls Martínez y Pedro Antonio Martín Cervantes, de la Universidad de Almería.
Para más detalles sobre el proceso de envío, por favor, mire las instrucciones para los autores en el sitio web de la revista (http://www.mdpi.com/journal/mathematics/instructions).
Dear Colleagues,
We are currently organizing a Special Issue entitled “Advances in Measuring Health and Wellbeing” in the International Journal of Environmental Research and Public Health. IJERPH is a peer-reviewed scientific journal that publishes articles and communications in the interdisciplinary area of environmental health sciences and public health. For detailed information on the journal, we refer you to https://www.mdpi.com/journal/ijerph.
Population ageing is a global phenomenon. Every country in the world is experiencing growth in the size and proportion of older persons in their population. The trend is increasing over time - according to World Population Prospects 2019 (United Nations (2019)), by 2050, one out of six people in the world will be 65 or over, up from one out of eleven in 2019. In an ageing society, the states not only need to worry about the shrinking labor market, but also, importantly, financial problems including pensions and the expenditures of maintaining health care systems, social supports, and other public services for older adult populations. Of particular interest is the long-term care needs of older individuals, particularly of those who have disabilities that prevent them from performing certain tasks that relate to daily life.
Several goals of United Nations’ 2030 Agenda for Sustainable Development are related to reducing the risks of being unhealthy and socially vulnerable in later life. Recently, we have experienced that, under the shock of a pandemic, these goals are scarcely fulfilled, even in developed countries. Thus, it is important to generate knowledge about the vulnerability of elderly people.
With this Special Issue we seek to attract contributions from diverse research lines, representing different geographies in order to develop instruments and methods that help to visualize data and produce reliable measurements of health and wellbeing that are comparable across countries. The use of data science, big data, and machine learning techniques in the area are welcome. These tools will help to better understand the health problems of older adults globally, and to facilitate appropriate health and social policy responses.
Keywords: aging, dependency, disabilities, health care, health insurance, long-term care, pensions, public health, wellbeing.
More information on the S.I. in https://www.mdpi.com/journal/ijerph/special_issues/measuring_health_wellbeing
Prof. Aurea Grané
Prof. Irene Albarrán
Guest Editors
Deadline for paper submission: 30 June 2021
Creative in research and teaching.
Estimados socios y simpatizantes de ASEPELT,
Sentimos comunicaros que en vista de la evolución de la pandemia vírica existe una gran incertidumbre acerca de las posibilidades de celebrar el XXXIV Congreso Anual de ASEPELT en las fechas en que estaba previsto celebrarse, que como recordaréis, y después de una primera modificación, eran del 23 al 26 de junio de este año.
El Consejo Ejecutivo de ASEPELT, junto con el Comité organizador del Congreso, ha decidido posponer su celebración al 6-9 de octubre de 2021 en la Universidad de Jaén.
Toda la información al día acerca del congreso la encontraréis en la página web https://www.congresoasepelt.com/.
Lamentamos las molestias que os puedan haber causado los sucesivos aplazamientos del congreso, cuyas causas estamos seguros de que comprendéis perfectamente.
The Special issue pretends to be a forum for debate on matters related to economic, accounting and finance in the area of Asia-Pacific. Articles must address relevant issues for the below topics. Discussion must be conceptually competent in one or more disciplinary fields, so that researchers and practitioners of a large number of scientific disciplines are able to participate, this way trespassing disciplinary boundaries.
TOPICS:
We welcome papers covering whichever aspects of Financial Accounting, Management Accounting Governance, Sustainability Reporting, Auditing, Public Sector Accounting, Taxation, Information System, Accounting Education, Sharia Accounting and Financial Management, Ethics and Professionalism, Capital Market Research, Banking, and Corporate Finance.
There are no restrictions to the length of individual papers. We are open to all methodological approaches and have special interest in papers using high-frequency data with these standards:
For additional information, please contact Liem Gai Sin, Ph.D at Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo..