Abstract for: Beyond Grounded Theory as a Method for Dynamic Theory Development using Qualitative Data

The current study presents a comparative analysis of two alternative methods for developing causal models and dynamic theory, namely grounded theory-based analysis of qualitative data and traditional causal loop diagram development in systems thinking. The authors aim to propose a framework that merges these approaches to facilitate dynamic theory development. To validate their approach, they examine the diffusion of 5G technology in contemporary digital societies. The study highlights that grounded theory-based analysis of qualitative data and traditional causal loop diagram development in systems thinking each have their unique strengths and limitations. The authors propose a framework that combines both approaches, thereby leveraging the strengths of both techniques. The proposed framework facilitates the development of more comprehensive and nuanced causal models and dynamic theories. The study findings suggest that the proposed framework can be useful in understanding complex phenomena in contemporary digital societies. The diffusion of 5G technology is used as a case study to demonstrate the applicability of the proposed approach. Overall, this study contributes to the development of a more holistic and integrated approach to developing causal models and dynamic theories, which can have practical implications for policymakers and researchers alike.