Qualitative Virtual Team Research as Training Method in a Postgraduate Program in Administration

被引:2
|
作者
Matitz, Queila R. S. [1 ]
Fernandes, Camilla [1 ]
Contani, Andre R. R. [1 ]
Zanoni, Beatriz L. [1 ]
Budach, Rafael [1 ]
Radael, Weber H. [1 ]
Santos, Joyce A. R. [1 ]
Frohlich, Samantha [1 ]
Carvalho, Ana C., V [1 ]
机构
[1] Univ Fed Parana, Curitiba, Parana, Brazil
关键词
team-based research; collaborative research; qualitative virtual team research; qualitative research; Ph.D; education; training; virtual environment; DOCTORAL EDUCATION; MANAGEMENT; WORK;
D O I
10.46743/2160-3715/2021.4859
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
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.
引用
收藏
页码:2598 / 2620
页数:26
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