Jueves 4 de abril de 2019. 12:30-13:30. Aula 13 (1ª planta Facultad Ciencias Económicas y Empresariales de la Universidad de Sevilla). Av. Ramón y Cajal, 1. 41018 Sevilla (España)
En esta conferencia al que ha sido denominado con el gran facilitador, nos muestra cómo han ido evolucionando los análisis de datos multivariante. Desde los métodos de 1ª generación a los métodos de 2ª generación, y el horizonte que se abre con el fenómeno big data.
Professor Joe F. Hair Jr
Joe was the Founder and Director of the Kennesaw State University DBA program. Before KSU he was on the faculty of the Ourso College of Business Administration, Louisiana State University, where he held the Copeland Endowed Chair of Marketing. He was a United States Steel Foundation Fellow at the University of Florida, where he earned his Ph.D. in Marketing.
In 2018 Dr. Hair was recognized by Clarivate Analytics as being in the top 1% globally of all Business and Economics professors. He was selected for the award based on citations of his research and scholarly accomplishments, which for his career exceed 160,000. He has authored over 50 books, including Marketing, Cengage Learning, 13th edition, 2019; Multivariate Data Analysis, Cengage Learning, U.K., 8thedition 2019 (cited 110,000+ times and one of the top five all time social sciences research methods textbooks); Essentials of Business Research Methods, Routledge, 4thedition 2019; Essentials of Marketing Research, McGraw-Hill, 5thedition 2019; and A Primer on Partial Least Squares Structural Equation Modeling, Sage, 2nd edition 2017. He also has published numerous articles in scholarly journals such as the Journal of Marketing Research, Journal of Academy of Marketing Science, Organizational Research Methods, Journal of Advertising Research, Journal of Business Research, Journal of Long Range Planning, Industrial Marketing Management, Journal of Retailing, and others.