Analysing the impact of smart city service quality on citizen engagement in a public emergency

Experimental Study on Emergency Psychophysiological and Behavioral Reactions to Coal Mining Accidents

Effective emergency responses are crucial for preventing coal mine accidents and mitigating injuries. This paper aims to investigate the characteristics of emergency psychophysiological reactions to coal mine accidents and to explore the potential of key indicators for identifying emergency behavioral patterns. Initially, virtual reality technology facilitated a simulation experiment for emergency escape during coal mine accidents. Subsequently, the characteristics of emergency reactions were analyzed through correlation analysis, hypothesis testing, and analysis of variance. The significant changes in physiological indicators were then taken as input features and fed into the three classifiers of machine learning algorithms. These classifications ultimately led to the identification of behavioral patterns, including agility, defensiveness, panic, and rigidity, that individuals may exhibit during a coal mine accident emergency. The study results revealed an intricate relationship between the mental activities induced by accident stimuli and the resulting physiological changes and behavioral performances. During the virtual reality simulation of a coal mine accident, subjects were observed to experience significant physiological changes in electrodermal activity, heart rate variability, electromyogram, respiration, and skin temperature. The random forest classification model, based on SCR + RANGE + IBI + SDNN + LF/HF, outperformed all other models, achieving accuracies of up to 92%. These findings hold promising implications for early warning systems targeting abnormal psychophysiological and behavioral reactions to emergency accidents, potentially serving as a life-saving measure in perilous situations and fostering the sustainable growth of the coal mining industry.

Effects of smart city construction on employment: mechanism and evidence from China

Based on the first batch of smart city pilots in China, this paper systematically investigates the impact of smart city construction on urban employment and employment structure, and its influence mechanism and urban heterogeneity are explored using the difference-in-differences (DID) model. The main conclusions are as follows: (1) Smart city construction significantly promotes urban employment, especially employment in the secondary and tertiary industries. (2) Digital technology development and public services are important mechanisms for smart city construction to improve urban employment. (3) There was heterogeneity among Chinese cities, with the employment promotion effect of smart city construction is primarily reflected in cities located in the eastern and central regions, medium cities, large cities, as well as cities with higher levels of financial development, human capital, and informatization. (4) Through different impacts on various sectors, smart city construction promotes the transfer of employment to the service sector and optimizes the urban employment structure. Conclusions enrich the academic community's understanding of the development and construction of smart cities and provide enlightenment and reference for the formulation and promulgation of relevant supporting policies.

Digital and physical factors influencing an individual's preventive behavior during the COVID-19 pandemic in Taiwan: A perspective based on the S-O-R model

COVID-19 has caused considerable stress to individuals and communities. Daily press briefings on public health during the COVID-19 pandemic have increased individuals' feelings of social pressure. Abrupt changes to a person's immediate environment, such as the changes caused by COVID-19, can substantially affect their mental health and cognitive adjustment. On the basis of the stimulus-organism-response (S-O-R) framework, we examined the effects of digital and physical stimuli related to COVID-19 in Taiwan on individuals' psychological states and preventive behavior, including social distancing and personal hygiene. The data obtained from 498 valid survey questionnaires indicated that digital and physical factors including informativeness, social pressure, and severity exerted direct effects on cognitive assimilation and anxiety, which in turn affected individuals' preventive behavior. Moreover, cognitive assimilation and anxiety had significant mediating effects on the relationships of informativeness, social pressure, and severity with individuals' preventive behavior. The results of this study indicate how digital and physical stimulus factors affect cognitive assimilation and anxiety, which influence preventive behavior during a pandemic.

Evaluating the Effect of Redundant Resources on Corporate Entrepreneurial Performance

Redundant resources are indispensable resources in corporate entrepreneurship. Nowadays, establishing how to evaluate the impact of redundant resources on corporate entrepreneurial performance has become a critical issue considered by managers. However, few studies have addressed this issue. Based on the perspective of resource bricolage and corporate resource interaction, this work constructs a theoretical model to analyze the influence of redundant resources on corporate entrepreneurial performance. Data were collected in Chinese enterprises. A structural equation modeling (SEM) technique was used. We obtained four valuable conclusions. First, redundant resources have a significant positive effect on corporate entrepreneurial performance. Second, redundant resources exert a significant positive influence on resource bricolage. Third, resource bricolage has a significant positive influence on corporate entrepreneurial performance. Fourth, resource bricolage plays a partial mediation effect between redundant resources and corporate entrepreneurial performance. The insights can provide theoretical and practical guidance for enterprises that intend to use redundant resources to carry out entrepreneurial activities.