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Research Design and Major Issues in Developing Dynamic Theories by Secondary Analysis of Qualitative Data

1
Western New England University, College of Business, Springfield, MA 01119, USA
2
NarrativeDx, Austin, TX 78762, USA
3
Center for Technology in Government, University at Albany, SUNY, Albany, NY 12222, USA
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in “Bahadir K. Akcam; Senem Guney; Anthony M. Cresswell. Major Issues in Mixed Use of Grounded Theory and System Dynamics Approaches in Qualitative Secondary Data. In Proceedings of the 29th International Conference of the System Dynamics Society, Washington, DC, USA, 25–29 July 2011”.
Systems 2019, 7(3), 40; https://doi.org/10.3390/systems7030040
Received: 11 June 2019 / Revised: 7 August 2019 / Accepted: 9 August 2019 / Published: 15 August 2019
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Abstract

This article discusses the use of the Grounded Theory approach to the analysis of qualitative data to develop dynamic theories. The main objective of the article is to explore the major issues in bringing Grounded Theory and System Dynamics approaches together. The discussion employs an example of secondary analysis of qualitative data as a mixed-method research design for System Dynamics researchers. Findings from this example are organized in a table by research stages. Some of the reported major issues have divided researchers in their fields, such as the theoretical sensitivity issue in the Grounded Theory field and the qualitative and quantitative modeling issue in the System Dynamics field. Other major issues, such as the nature and richness of the dataset, can limit the data analysis and the research outputs. Researchers using the mixed-method should address these issues, and the present article offers solutions for them. View Full-Text
Keywords: mixed methods; system dynamics; grounded theory mixed methods; system dynamics; grounded theory
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Akcam, B.K.; Guney, S.; Cresswell, A.M. Research Design and Major Issues in Developing Dynamic Theories by Secondary Analysis of Qualitative Data. Systems 2019, 7, 40.

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