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| http://dx.doi.org/10.4178/epih/e2014038 | DOI Listing |
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Analyzing Antecedent Configurations of Group Emotion Generation in Public Emergencies: A Multi-Factor Coupling Approach.
Behav Sci (Basel)
January 2025
School of Management, Beijing Institute of Technology, 5 Zhongguancun South Street, Beijing 100080, China.
To enhance emergency management and public opinion governance, improve the accuracy of forecasting group emotional responses, and elucidate the complex pathways of multi-factor coupling in the formation of group emotions, this study constructs a theoretical framework grounded in the social combustion theory. Through web scraping and text sentiment analysis, group emotional tendencies were measured in 40 public emergency cases from the past five years. Using the fuzzy-set qualitative comparative analysis (fsQCA) method, the study explored the coupling, configuration effect, and formation pathways of factors such as "burning substance", "accelerant", and "ignition" in the emergence of group emotions.
View Article and Find Full Text PDFA framework for understanding the path to achieve high resilience of maritime supply chain.
Sci Rep
January 2025
College of Navigation, Jimei University, Xiamen, 361021, Fujian, China.
In recent years, a significant rise in international sudden risk events has resulted in impacts and disruptions to maritime supply chains (MSC). The resilience of maritime supply chains has garnered attention from the academic, industrial, and government sectors. The paper proposes a methodological framework based on the structural equation model (SEM), Necessary Condition Analysis (NCA), fuzzy set qualitative comparative analysis (fsQCA), and utilizes questionnaire data from the maritime industry in China to evaluate the resilience in MSC.
View Article and Find Full Text PDFPathways to usage intention of mobile health apps among hypertensive patients: A fuzzy-set qualitative comparative analysis.
Health Informatics J
January 2025
Hefei Institutes of Physical Sciences, Chinese Academy of Sciences, Hefei, China.
The efficacy of mHealth apps in managing hypertension has been proven; however, low usage intention remains a significant challenge, warranting an in-depth exploration of the influencing factors. This study aimed to examine the factors influencing hypertensive new users' intention to use mobile health applications through a cross-sectional survey. Fuzzy-set qualitative comparative analysis (fsQCA) was employed to investigate the combinations of various determinants, including technology acceptance, adoption factors, compliance behavior initiation factors, and time motivation factors for decision making.
View Article and Find Full Text PDFThe Willingness of Doctors to Adopt Artificial Intelligence-Driven Clinical Decision Support Systems at Different Hospitals in China: Fuzzy Set Qualitative Comparative Analysis of Survey Data.
J Med Internet Res
January 2025
Economics and Management School, Wuhan University, Wuhan, China.
Background: Artificial intelligence-driven clinical decision support systems (AI-CDSSs) are pivotal tools for doctors to improve diagnostic and treatment processes, as well as improve the efficiency and quality of health care services. However, not all doctors trust artificial intelligence (AI) technology, and many remain skeptical and unwilling to adopt these systems.
Objective: This study aimed to explore in depth the factors influencing doctors' willingness to adopt AI-CDSSs and assess the causal relationships among these factors to gain a better understanding for promoting the clinical application and widespread implementation of these systems.
Role of climate change in economic uncertainty of Pakistan: New approach with qualitative comparative analysis.
Heliyon
December 2024
Foundation University, Islamabad, Pakistan.
Globally, the effects of climate change are becoming more pronounced. Simultaneously, concerns associated with climate change effects have garnered widespread attention. The motive of this study is to know about the prominent antecedents of climate abnormalities in Pakistan, which may lead to economic abnormality and instability.
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