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The continued severity of the global epidemic situation has led to a rising risk of imported cases in China, and domestic cluster epidemic events caused by imported cases have occurred from time to time, repeatedly causing nation-wide disruption. To deeply explain this phenomenon, this study adopted the grounded theory method, using the 5·21 Guangz...
Citations
... To demonstrate our approach, we take the risk analysis of electric power system blackouts as a case study. Risk analysis is fundamental to a variety of academic disciplines and is applicable to almost every aspect of life [100], such as health management [71], safety management [100], financial management [119] and information security management [118]. The purpose of risk analysis is to produce knowledge related to theories regarding how to understand, characterize, and govern risk [7]. ...
... The representative research in the first aspect consists of identifying the risk factors of the infectious disease epidemic [40,72], project construction [34,67,109,137], software engineering [108], workers' unsafe behaviors [56,127,131], logistics transformation [73], supply chains [142], business innovation [61,136], and various accidents and disasters [33,133,138]. The representative research in the second aspect consists of the risk transmission mechanism of cluster epidemic [71], the causations of subway operation [33], ship grounding accidents [56], and fake news [42]. The representative research in the third aspect consists of summarizing the nursing strategies to prevent people from falling [31], the emergency capabilities for coal mine risks [126], and formulating flood risk management plans [14]. ...
Grounded theory is a widely used scientific method for generating theories from qualitative data analysis. However, it is often time-consuming and requires professional training. Generative artificial intelligence, such as ChatGPT, excels in understanding and analyzing text, making it a valuable tool for qualitative research. This research proposes a novel approach to guide ChatGPT using the grounded theory method for qualitative data analysis and to design rigorous metrics for evaluating its performance. Using risk analysis as a case study, we compare ChatGPT’s results with those obtained through manual methods. Our findings show that, with expert guidance, ChatGPT can effectively perform the grounded theory method, achieving results comparable to those of human analysts. To maximize its potential, researchers should properly guide ChatGPT in performing required tasks, rigorously evaluate its outputs, and ensure high-quality results. This approach can significantly enhance the efficiency and quality of qualitative data analysis.
