ABOUT

On this website of Professor Favaretto, PhD (www.favaretto.net) | Scientific Research and Higher Education, you will find general information about the research and teaching activities carried out by the professor, his scientific publications, how to get in touch, links to academic social platforms (Currículo Lattes, Research Gate, Mendeley, Google Scholar, Academia, ORCID) and professional social platform (LinkEdin).

José Eduardo Ricciardi Favaretto

RESEARCHER AND PROFESSOR

Prof. Favaretto is Researcher in Innovation Diffusion and Data Science at Escola Superior de Propaganda e Marketing (ESPM) in Sao Paulo (Brazil), and Researcher in Scientific Methodology and Management of Productivity Practices in Scientific Research at FGV EAESP (Fundacao Getulio Vargas - Sao Paulo Business School) - two Brazilian business schools that are effective members of the AACSB (Association to Advance Collegiate School of Business).

His current research interests (academic and applied) are grouped into two study fronts:

• 1.) Global Innovation, Artificial Intelligence, Data Science and Technology - Global Diffusion of Innovation and Technology; Innovation and International Management; Artificial Intelligence in global markets; Data Science for Organizational decision making (Quantitative Modeling, Data Analytics and Data Scraping); Stage Level Measurement of ICT/IS in Organizations;

• 2.) Education and Popularization of Science & Technology (S&T) - Productivity, Rigor, Relevance and Impact on Scientific Research; Internationalization of Scientific Research; Scientific Thinking Methodology; Bibliometric Studies; Bibliographical compilation; Assessment and Indicators of Scientific Production.

Prof. Favaretto has a PhD and an Academic Master's in Business Administration (Management Information Systems) approved with distinction by FGV EAESP. Graduated in Administration (Management Processes) from Fundação Getulio Vargas of Rio de Janeiro (FGV EBAPE).


SCIENTIFIC RESEARCH
(Academic and Applied)

As a scientific researcher in the fields of Technology and Innovation Management (TIM) and Management Information Systems (MIS) - belonging to Management knowledge Area [of the major Area of Applied Social Sciences], Prof. Favaretto has interest in the research themes (academic and applied) addressed to 1.) Global Innovation, Artificial Intelligence, Data Science and Technology, and 2.) Education and Popularization of Science & Technology (S&T).


1.) Global Innovation, Artificial Intelligence, Data Science and Technology

Global Innovation and International Management

Scientific research based on the Innovation Diffusion Theory (IDT), coming from the Sociology knowledge area (Rogers, 2003), with the use of mathematical / quantitative modeling (Bass, 1969; Gompertz, 1825; Verhulst, 1838), for the observation and assessment of the adjustment of the S-curve or sigmoid (technological adoption / diffusion curve), and their comparison, analysis and future performance prediction (forecast) among models discussed in the academic literature (Bass, Gompertz, Logistic e outros). Time series are used to analyze the diffusion of technological products in the world Telecommunications sector, as well as new global technologies based on Artificial Intelligence (AI), Blockchain, Data Analytics, and Internet of Things (IoT).

Artificial Intelligence and global networks

Analyze the global connection networks formed by the theme of Artificial Intelligence (AI), with regard to: the group of researchers who study and discuss this theme; the identification of the different higher education institutions in the world where these researchers are linked; the main applications of AI discussed in articles obtained in international journals with a high impact factor, in the field of Technology and Information Management (TIM). Investigate the diffusion of AI in different countries around the world, as well as identify the AI applications already developed and those that are under development, both in academia and professionally.

Data Science for Organizational decision making

Construction of quantitative models using differential equations, multivariate statistical techniques (multiple regression, binary logistic regression, factor analysis, cluster analysis, PCA, etc.), modeling with structural equations (PLS-SEM) and panel data analysis. Data scraping (selection of primary / secondary data sources, collection, filtering and integration), exploratory analysis, graphical / visual analysis, Social Network Analysis and Text Mining techniques, interpretation of results and strategic use of Data Analytics for organizational decision making.

Stage Level of ICT/IS in Organizations

Academic research based on the Stages of Growth Theory and the study field of Management Information Systems (MIS), from the seminal article of Richard Nolan (Nolan, 1973). It seeks to identify the Stage Level of Information and Communication Technology/Information Systems (ICT/IS) initiatives in contemporary Organizations (Favaretto, 2019; Favaretto, 2015; Favaretto & Meirelles, 2015). It allows the issuing of an informative Report and Diagnostic in real time, containing 6 pages (A4 format) for the respondents. Participation in this survey is restricted to guests only. To apply for an invitation, request yours here.


2. Education and Popularization of Science & Technology (S&T)

Productivity, Rigor, Relevance and Impact in Scientific Research

Improve reliability, efficiency and effectiveness in the development of scientific research. Improvement of key elements of the scientific procedure: method, reproducibility, organization of bibliographic references, correct use of scientific databases, generation of reports. Structuring of qualified research, with ethics, rigor (theoretical and methodological robustness), academic relevance (research generated with real contribution to the field / study community, seeking a high number of citations) and applied relevance (generate some direct benefit for people, organizations or governments, reflecting on impact for society).

Internationalization of Scientific Research

Study of the dimensions of internationalization of research (Diniz, Favaretto, Oliveira, Brólio, 2017a, 2017b; Diniz, Oliveira, Favaretto, e Brólio, 2018a, 2018b) and internationalization indicators that guide the characteristics of the profile of researchers and research with high academic / scientific impact. The teaching-research dichotomy observed by institutional variables [of Higher Education Institutions (HEI)] and by individuals (teachers / researchers). The worldwide comparison of personal characteristics and the incentives promoted and / or financial investments offered by HEIs, by agencies that promote scientific research (in Brazil: CAPES, CNPq, FAPESP, etc.) and by the governments of the world, in the development of actions of Education and Popularization of Science & Technology (S&T).

Bibliometric Studies and Bibliographical compilation

Bibliometric studies using secondary databases / open data, collections of journals, scientific publications [with DOI] in academic sources recognized by the community (Web of Science, Scopus, InCites, Crossref, Spell, SCielo, etc.). Collection, data extraction, data cleaning, insertion of filters (keywords chosen by the researcher), identification of academic impact according to national and international scientific ranking / classifiers. Analysis and discussion of the results obtained, using multivariate statistical techniques, Social Network Analysis (SNA), Text Mining, among others. Bibliographical compilation executed by order (tailor-made), according to the defined criteria and choice of the database and / or research theme to be explored by the interested party.

Scientific Methodology and Assessment of Scientific Production

Study of indicators for the measurement and assessment of Scientific Production / Productivity of academic groups (teachers and / or researchers; national or international), or of Post-Graduate Programs (PPGs) in Brazil. Conception and permanent development of an on-line system [in the cloud], which uses task automation to facilitate the recurring execution of this procedure by PPGs. Continuous and in-depth study of Scientific Methodology to disseminate scientific publications of high quality and impact. Main focus centered on the structure of Science paradigms according to the vision of Thomas Kuhn (Kuhn, 1970) and identification and exploration of Scientific Thought (regulated, grounded, without using adjectives).


HIGHER EDUCATION
(disciplines for Postgraduate courses)

Disciplines with content directed to Postgraduate stricto sensu courses (Academic or Professional Master / Doctorate), or Postgraduate lato sensu courses (MBA, Executive Postgraduate courses, Master in Business and Management, Specialization). The meetings of the courses can be delivered in-person mode or remotely, and the contents can also be adapted to the Training, Workshop or Minicourse format.



Workshop / Minicourse: Science 3-in-1

Content designed to organize the proper formatting of scientific projects , being discussed briefly in three blocks: 1.) Format of academic projects; 2.) Access and use of scientific databases; 3.) Integration with Mendeley.
To know the access to the structural document of Thesis, Dissertation, Scientific Article, etc., with the provision of a 'pre-formatted mask' (MS-Word file) in the standard required by the School or Journal / Conference. To know and access [with hands-on and examples] scientific databases (i.e: subscription to CAPES journals and others), identifying searchers, classifiers and Publishers that are recognized by the academic community. To know the management / organization of references and PDF files with Mendeley (materials of your research that is in progress), integrating it with the scientific databases and with the automated maintenance of citations and reference list, via structured document of MS-Word.


Productivity and Good practices in Scientific Research

Theoretical and practical content to support processes and activities necessary for carrying out scientific research (academic or applied), with the objective of stimulating productivity in repetitive tasks, and taking advantage of the researcher's time to deepen the rigor, relevance and quality of the content ("filling") of scientific projects. To Know and use a set of tools for productivity management and good practices in scientific research, composed of software and services available in the cloud (reference managers, impact indexers / classifiers, academic searchers / scientific databases, researcher registration platforms / academic social networks, etc.), and rules for conducting research activities with ethics, rigor (theoretical, structural and methodological), in addition to the search for relevance and academic / applied impact. Also learn about scientific indicators/qualifiers (H-index, impact factor, rankings, etc.) and how to identify relevant journals in your field of study.


Methodology and Practical Construction of Scientific Projects

Expository classes bringing step-by-step to build the outline / chapters ("backbone") of scientific projects (Thesis or academic or professional Dissertation, Academic / applied Project, Scientific article, analytical Project, etc.), obligatorily making use of Scientific Thinking .
Study and practice the construction / structuring of the steps / blocks that integrate a scientific project: Identification of the Paradigm & Scientific Community. Plagiarism - rules and considerations. ABNT and APA standards for the correct use of Citations and References. Introduction - Theme, Research Question, Justifications (of the Phenomenon / scientific problem and the Context / 'piece trimmed' and context of the research), Objectives (General and Specific). Literature review (theoretical body or state-of-the-art theoretical basis / updated). Method (step-by-step performed in the research). Results, Analysis and Discussion. Limitations of Research / Future Studies. Conclusion - Contribution and Implications. Appendix / Annexes.



Data Science & Analytics

Understand the cycle of the stages for performing multivariate data analysis, data science & analytics, to transform available events/data from organizational day-to-day activities into useful information for decision making. Perform exploratory analyzes on datasets from primary and / or secondary sources, with the construction of graphs (visual representation of data), tables, and understanding / application of basic statistical techniques (theoretical and practical aspects). Practice the investigative and interpretative perception [of the results obtained] in the process of data analysis. Software used in the analysis: R, Python, Orange and Julia.


Global Innovation and Management of the Competitiveness

Historical retrieval of the different theoretical bodies of Innovation study identified in the field of academic studies of Technology and Innovation Management (TIM) and paradigms in the Business Management area. Use of concepts of: Organizational Learning (March, 1991); Exploration, Exploration and Ambidexterity (Benner & Tushman, 2003; Jansen, Van Den Bosch, & Volberda, 2006; March, 1991); Disruptive Innovation (Christensen, 1997, 2012); Diffusion of Innovations (Bass, 1969; Rogers, 2003); Open Innovation, among others. Identification of the main journals and topics discussed in the contemporary world related to global innovation and management of the competitiveness.


Artificial Intelligence in Global Markets

This course seeks to study and understand the thematic of Artificial Intelligence (AI) and its potential uses in global markets, with a view to the research field of Technology and Innovation Management (TIM). Unlike AI studies that emphasize statistical techniques and mathematical approaches, or highlighting a specific solution obtained with a sophisticated algorithm, the main focus of this discipline is not based on these pillars. The use of AI as a technology to influence the way we live, communicate, work, learn, interact, etc., whether through applications we already know today, for example: credit / risk analysis, health diagnosis, recognition facial or photo / image patterns, legal analysis, or those that we have no idea that will emerge.


SCIENTIFIC PUBLICATIONS (academic)

In this section the most recent scientific (academic) publications are informed, with Prof. Favaretto as the first author or co-author of such publications.


Paper: Journal RAC (A2, august/2019)

Incentivos para internacionalização são adequados? Percepção dos pesquisadores em Administração da Informação

Paper: International Conference (16th CONTECSI, may/2019)

The Digital Transformation Capability and Organizational Performance: empirical study of the multiple combinations of Environmental Uncertainty


Academic Doctoral Thesis (FGV EAESP, may/2019)

Stage level measurement of Information Systems and Analytics diffusion in Organizations

Paper: National Conference (XLII EnANPAD, october/2018)

Incentivos Institucionais Internos e Externos para Internacionalização da Pesquisa em Administração da Informação

Paper: Journal BBR (A2, sep/2018 with Ahead of Print in july/2018)

The Influences of Strategic Information Systems on the Relationship between Innovation and Organizational Performance

Paper: International Conference (8th OAP, june/2018)

Academic productivity and neocolonial effects of incentive mechanisms

Paper: International Conference (15th CONTECSI, may/2018)

Alignment between Innovation and Strategic Information Systems: An empirical study of exploration, exploitation, and ambidexterity on corporate performance


Paper: Journal A2, RAC (oct/2017)

Academic Education, Research Dissemination and Collaboration: Internationalization in Management Information Systems


Paper Awarded: National Conference (XLI EnANPAD, oct/2017)

Os efeitos do Strategic Information Systems (SIS) na Inovação de Exploration e Exploitation: Um estudo empírico sobre a incerteza ambiental.

Paper: National Conference (XLI EnANPAD, oct/2017)

Internacionalização da pesquisa em Administração de Sistemas de Informação (ADI) e apoio institucional: visão dos pesquisadores

Paper: Journal A2, RAE (aug/2017)

Exploring the archive of RAE-Revista de Administração de Empresas (1961 - 2016) in the light of bibliometrics, text mining, social network and geoanalysis


Paper: International Conference (14th CONTECSI, may/2017)

Exploration, Exploitation and Organizational Performance: The effects of moderation in the effective use of Strategic Information Systems Planning

Paper Awarded: National Conference (XL EnANPAD, sep/2016)

Inserção Internacional do Campo de Administração da Informação (ADI): Análise da Formação, Publicação e Participação em Redes de Pesquisa

Paper: International Conference (46th SWDSI, mar/2015)

Nolan´s Stage Level Measurement of Information and Communication Technology in Modern Organizations

Academic Master's Dissertation (FGV-EAESP, feb/2015)

Stage Level Measurement of Information and Communication Technology in Organizations


REFERENCES - cited on this page

All references that are cited on this page are listed, in alphabetical order, in this section.

Bass, F. M. (1969). A new product growth for model consumer durables. Management Science, 15 (5), 215–227. doi:10.1287/mnsc.15.5.215

Benner, M. J., Tushman, M. L. (2003). Exploitation, Exploration, and Process Management: The Productivity Dilemma Revisited. Academy of Management Review, 28 (2), 238–256. doi:10.5465/amr.2003.9416096

Christensen, C. M. (2012). O Dilema da Inovação: Quando as novas tecnologias levam empresas ao fracasso. São Paulo, SP: M.Books do Brasil Editora.

Christensen, C. M. (1997). The Innovator’s Dilemma:When new technologies cause great firms to fail. 1st ed. Boston, MA: Harvard Business School Press.

Diniz, E. H., Oliveira, H. P. G., Favaretto, J. E. R., Brolio, D. R. (2018a). Incentivos Institucionais Internos e Externos para Internacionalização da Pesquisa em Administração da Informação In: XLII Encontro da Associação Nacional de Pós-Graduação e Pesquisa em Administração - EnANPAD, outubro, 2018, Curitiba, PR.

Diniz, E. H., Oliveira, H. P. G., Favaretto, J. E. R., Brolio, D. R. (2018b). Academic productivity and neocolonial effects of incentive mechanisms. In: 8th Organizations, Artifacts & Practices (OAP) Workshops, 82-86, June 2018. Amsterdam, Netherlands.

Diniz, E. H., Favaretto, J. E. R., Oliveira, H. P. G., Brolio, D. R. (2017a). Academic Education, Research Dissemination and Collaboration: Internationalization in Management Information Systems. RAC-Revista de Administração Contemporânea, 21(6), 811-831. doi: 10.1590/1982-7849rac2017160319

Diniz, E. H., Favaretto, J. E. R., Oliveira, H. P. G., Brolio, D. R. (2017b). Internacionalização da pesquisa em Administração de Sistemas de Informação (ADI) e apoio institucional: visão dos pesquisadores. In: XLI Encontro da Associação Nacional de Pós-Graduação e Pesquisa em Administração - EnANPAD, outubro, 2017. São Paulo, SP.

Diniz, E. H., Favaretto, J. E. R., Oliveira, H. P. G., & Brólio, D. V. R. (2016). Inserção Internacional do Campo de Administração da Informação (ADI): Análise da Formação, Publicação e Participação em Redes de Pesquisa. In: XL Encontro da Associação Nacional de Pós-Graduação e Pesquisa em Administração - EnANPAD, outubro, 2016. Costa do Sauípe, BA.

 Photo: Cycle of the Scientific Publication. Credit: Prof. Dr. Eduardo Diniz, Disciplina de Oficina de Pesquisa (FGV-EAESP), 10/october/2013.

  

Favaretto, J. E. R. (2019). Stage level measurement of Information Systems and Analytics diffusion in Organizations. Academic Doctoral Thesis. Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo (FGV EAESP). Sao Paulo, Brazil. doi: 10.13140/RG.2.2.15082.16328

Favaretto, J. E. R. (2015). Stage Level Measurement of Information and Communication Technology in Organizations. Academic Dissertation. Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo (FGV EAESP). Sao Paulo, Brazil. doi: 10.13140/RG.2.2.16844.82562

Favaretto, J. E. R., & Francisco, E. R. (2017). Exploring the archive of RAE-Revista de Administração de Empresas (1961 - 2016) in the light of bibliometrics, text mining, social network and geoanalysis. RAE-Revista de Administração de Empresas, 57(4), 365-390. doi: 10.1590/S0034-759020170407

Favaretto, J. E. R., & Meirelles, F. S. (2015). Nolan´s stage level measurement of Information and Communication Technology in modern organizations. In: 46th Annual Southwest Decision Sciences Institute (SWDSI) Conference, 410-418. Houston, USA.

Gompertz, B. (1825). On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of Life Contingencies. Philosophical Transactions of the Royal Society of London, 115, 513–583. doi:10.1098/rstl.1825.0026

Jansen, J. J. P., Van Den Bosch, F. A. J., & Volberda, H. W. (2006). Exploratory Innovation, Exploitative Innovation, and Performance: Effects of Organizational Antecedents and Environmental Moderators. Management Science, 52(11), 1661–1674. doi:10.1287/mnsc.1060.0576

Kuhn, T. S. (1970). The Structure of Scientific Revolutions. Chicago: University of Chicago Press.

March, J. G. (1991). Exploration and Exploitation in Organizational Learning. Organization Science, 2(1), 71–87. doi:10.1287/orsc.2.1.71

Nolan, R. L. (1973). Managing the computer resource: A stage hypothesis. Communications of the ACM, 16(7), 399-405. doi:10.1145/362280.362284

Rogers, E. M. (2003). Diffusion of Innovations. Fifth ed. Free Press, New York NY.

Verhulst, P. F. (1838). Notice sur la loi que la population poursuit dans son accroissement. Correspondance Mathématique et Physique, 10, 113–121.

Yoshikuni, A. C., Favaretto, J. E. R., Albertin, A. L., & Meirelles, F. S. (2019). The Digital Transformation Capability and Organizational Performance: empirical study of the multiple combinations of Environmental Uncertainty. In: 16th International Conference On Information Systems & Technology Management - CONTECSI. AIS Brazil Chapter Official Conference. Sao Paulo, Brazil.

Yoshikuni, A. C., Favaretto, J. E. R., Albertin, A. L., & Meirelles, F. S. (2018a). The Influences of Strategic Information Systems on the Relationship between Innovation and Organizational Performance. Brazilian Business Review, 15(5), 444-459. https://doi.org/10.15728/bbr.2018.15.5.3

Yoshikuni, A. C., Favaretto, J. E. R., Albertin, A. L., & Meirelles, F. S. (2018b). Alinhamento entre a Inovação e os Sistemas de Informação Estratégicos: Um estudo empírico nas abordagens de exploration, exploitation e ambidestralidade no desempenho corporativo. In: 15th International Conference On Information Systems & Technology Management - CONTECSI. AIS Brazil Chapter Official Conference, 3243-3260. São Paulo, Brasil. doi: 10.5748/9788599693148-15CONTECSI/PS-5826

Yoshikuni, A. C., Favaretto, J. E. R., Albertin, A. L., & Meirelles, F. S. (2017a). Os efeitos do Strategic Information Systems (SIS) na Inovação de Exploration e Exploitation: Um estudo empírico sobre a incerteza ambiental. In: XLI Encontro da Associação Nacional de Pós-Graduação e Pesquisa em Administração - EnANPAD, outubro, 2017, São Paulo, SP. EnANPAD, 2017.

Yoshikuni, A. C., Favaretto, J. E. R., Albertin, A. L., & Meirelles, F. S. (2017b). Exploration, Exploitation and Organizational Performance: The effects of moderation in the effective use of Strategic Information Systems Planning. In: 14th International Conference On Information Systems & Technology Management - CONTECSI. AIS Brazil Chapter Official Conference, 3925-3950. Sao Paulo, Brazil. doi: 10.5748/9788599693131-14CONTECSI/PS-4838


GET IN TOUCH

Please, to contact Prof. Favaretto use the form below. Briefly explain the subject and the reason / interest of your contact (e.g. research, teaching, publications or others). The return will occur as soon as possible.