Open AccessQualitative Virtual Team Research as Training Method in a Postgraduate Program in Administration
Author(s) -
Queila R S Matitz,
Camilla Ytala Pinheiro Fernandes,
André Ricardo do Rosário Contani,
Beatriz Lima Zai,
Rafael Budach,
Weber H Radael,
Joyce A R Santos,
Samantha Fröhlich,
Ana C S Carvalho
Publication year - 2021
Publication title -
the qualitative report
Language(s) - English
Resource type - Journals
ISSN - 2160-3715
DOI - 10.46743/2160-3715/2021.4859
Subject(s) - qualitative research , credibility , process (computing) , medical education , knowledge management , psychology , qualitative property , computer science , pedagogy , medicine , sociology , social science , machine learning , political science , law , operating system
This study is a retrospective review of methodological strategies employed during a virtual team-based training qualitative study about the emergent process of adapting to remote education among students and professors from a Master Management Program. The aim of this study was to test the technique of collaborative research as an educational and training strategy for Ph.D. students of management who are inexperienced in qualitative inductive research carried out in a virtual environment. A professor and eight Ph.D. students formed the research team and applied a qualitative inductive approach. As a result, 18 methodological steps emerged, which required just over one hundred hours of work. We describe advantages and challenges faced during the process, including greater credibility and validity for the results, technical and interactional difficulties of the virtual research environment, and difficulty reaching consensus in the data analysis stage. The findings also highlight the importance of coordination, active participation, and continuous assessment as Ph.D. educational and teaching strategies. Qualitative Virtual Team Research has proved to be a potential training tool for beginning researchers. We also contribute to the body of research on Ph.D. education and teaching by detailing the procedures used to coordinate the project and clarifying details regarding the strategies used to reach consensus in data analysis development.