Management Sciences and Multivariate Analysis: Research Projects, Analysis, and Discussion of Results. Volume I: Dependent Techniques

Authors

Juan Mejía-Trejo
Profesor Investigador Titular B CUCEA-Universidad de Guadalajara
https://orcid.org/0000-0003-0558-1943

Keywords:

Administración, Análisis Multivariante, Técnicas Dependientes

Synopsis

With greater computing capabilities and resource availability nowadays, multivariate analysis is increasingly featured in various software applications, thereby expanding its potential use across disciplines such as Administrative Sciences. The Statistical Package for the Social Sciences (SPSS) by IBM, Analytics, Business Intelligence and Data Management (SAS) by SAS Institute and/or World Programming, Statistica by STATISTICA, and the R language (open-source software) are among the most widely used models in academic and professional fields worldwide. Consequently, it's no surprise that Administrative Sciences support academic development, appearing in various postgraduate programs and in the professional world corresponding to Social Sciences. This trend is leading to a growing presentation of reports, articles, book chapters, or entire books discussing various theoretical-empirical aspects and their interpretation based on such software applications. In our case, we've adopted IBM's SPSS 20 for developing the topics in this book.

Based on the aforementioned, we present the work: "Administrative Sciences and Multivariate Analysis under the Approach of Dependent Techniques. Research Projects, Analysis, and Discussion of Results, Volume I," with a triple purpose:

  1. To provide a document that serves both those familiar and unfamiliar with the topic, who need to understand the concepts discussed in this volume and manipulate the various commands offered by IBM's SPSS 20 regarding the problem cases presented as examples.

  2. For a better understanding of case treatment, we present the sequence proposed by Hair et al. (1999) of the six steps: objectives, design, assumptions, execution, interpretation, and validation, as the axis for presenting and resolving these cases.

  3. As the Coordinator of the Doctorate in Administrative Sciences at the Centro Universitario de Ciencias Económico Administrativas (CUCEA) of the University of Guadalajara (UdG), to present the base book for the course Quantitative Methods I and II.

It is the author's desire to contribute to the reader's acquisition of knowledge applicable in the practical world and aiding in its theoretical interpretation. If not, it is hoped that at least it serves as another useful step towards achieving their academic and/or professional formation.

   

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Author Biography

Juan Mejía-Trejo, Profesor Investigador Titular B CUCEA-Universidad de Guadalajara

Dr. Juan Mejía Trejo
He is born in 1964 in CDMX, México.
As professional experience:
1986-1987. Quality Department Control in KOKAI Electrónica S.A.
1987-2008. Former Internal Plant Exploitation Manager at Teléfonos de México S.A.B. Western Division.
As academic experience :
1987. He earned his degree in Communications and Electronics Engineering from the Escuela Superior de Ingeniería Mecánica y Eléctrica, Instituto Politécnico Nacional (ESIME at the IPN)
2004. He earned his master’s in Telecommunications Business Administration from INTTELMEX and France Telecom.
2010. He earned his doctorate in Administrative Sciences from the Escuela Superior de Comercio y Administración (ESCA at the IPN)
2011.He is a member of the Sistema Nacional de Investigadores (SNI) Level I of the Consejo Nacional de Ciencia y Tecnología (CONACYT) , México.
2010 to the present, he is Titular Research Professor B at the Department of Marketing and International Business at the Universidad de Guadalajara, México.
2018-2020. He earned his master’s in Valuing Business in the Centro de Valores S.C. México.
2019.He earned Level II of the SNI/CONACYT
2015-2022.He earned the Coordination of the Doctorate in Management Sciences at the Universidad de Guadalajara.

Currently, he is the founder of the AMIDI (Academia Mexicana de Investigacion y Docencia en Innovación SC) (https://amidi.mx/) as well as founder and editor-in-chief of the scientific journal Scientia et PRAXIS (https://scientiaetpraxis .amidi.mx/index.php/sp)
https://orcid.org/0000-0003-0558-1943

His line of research is Innovation Management, publishing articles and books that can be found on the Internet.
Email: jmejia@cucea.udg.mx

Dr. Juan Mejía Trejo
Nacido en la CDMX (1964).México.
Con experiencia profesional:
1986-1987. Departamento de Control de Calidad KOKAI Electrónica S.A.
1987-2008.Gerente de Explotación de Planta Interna en Teléfonos de México S.A.B. División Occidente.
Con experiencia académica:
1987 obtiene su licenciatura en Ingeniero en Comunicaciones y Electrónica de la Escuela Superior de Ingeniería Mecánica y Eléctrica del Instituto Politécnico Nacional (ESIME del IPN)
2004 egresa como Maestro en Administración Empresas de Telecomunicaciones por el INTTELMEX y France Telecom.
2010 obtiene su grado como Dr. en Ciencias Administrativas de la Escuela Superior de Comercio y Administración (ESCA del IPN)
2011 Ingresa al Sistema Nacional de investigadores Nivel I del CONACYT
2010 a la actualidad es Profesor Investigador Titular B en el Departamento de Mercadotecnia y Negocios Internacionales, de la Universidad de Guadalajara, México.
2018-2020 egresa como Maestro en Valuación de Negocios en Marcha por el Centro de Valores , S.C. México.
2019 Actualización en el Sistema Nacional de Investigadores como Nivel II
2015 a 2022 Coordinador del Doctorado de Ciencias de la Administración de CUCEA de la Universidad de Guadalajara.

2019 a la fecha, es fundador de la AMIDI (Academia Mexicana de Investigación y Docencia en Innovación SC) (https://amidi.mx/) así como fundador y editor responsable de la revista científica Scientia et PRAXIS (https://scientiaetpraxis.amidi.mx/index.php/sp)

Línea de Investigación la Administración de la Innovación, realizando publicaciones de artículos y libros localizables en Internet.

ORCID: https://orcid.org/0000-0003-0558-1943
email: jmejia@cucea.udg.mx

References

IBM (2011a). IBM SPSS Statistics Base 20. EUA. .Industrial Business Machines. Recuperado el 20161201 de:

ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/20.0/e

s/client/Manuals/IBM_SPSS_Statistics_Base.pdf

IBM (2011b).Guía breve de IBM SPSS Statistics 20. EUA.Industrial Business Machines. Recuperado el 20161201 de: ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/20.0/e s/client/Manuals/IBM_SPSS_Statistics_Brief_Guide.pdf

IBM (2011c). IBM SPSS Missing Values 20. EUA. .Industrial Business Machines. Recuperado el 20161201 de:

ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/20.0/e s/client/Manuals/IBM_SPSS_Missing_Values.pdf

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Published

June 30, 2017

Details about this monograph

ISBN-13 (15)

978-607-742-773-5

doi

10.55965/abib.9786077427735.2017a