Suchergebnisse

Governments often disclose pandemic-related information to reduce public mobility behavior during the initial outbreak stage of a pandemic like COVID-19. Previous studies have examined the effects of whether to disclose relevant information on public behavior but neglected the effects of information content. Based on the disclosed personal information of COVID-19 confirmed cases from 316 cities in China, we find that disclosing demographic information of confirmed cases does not affect public mobility, whereas disclosing their infection traceability information increases public mobility and trajectory range information decreases public mobility. We also find a U-shaped effect of information diversity on public mobility behavior.

Abstract
Hazard warning is vital in disaster management. The rapid development of social media allows warning producers and receivers to exchange warning messages effectively and sufficiently. This study investigates the factors that influence public attention to natural hazard warning information on social media. Drawing from the protective action decision model and framing theory, this study classifies antecedents into three groups, namely, hazard information, publisher's/reader's characteristics, and frame setting. To test the hypotheses empirically, we select Sina Weibo, the leading social network in China, as the research context. From this platform, 3452 warning messages issued by authorities in the target area are collected. We code each message based on its attributes that are related to our study for linear regression analyses. Results show that all the factors related to publisher's/reader's characteristics exert significant effects on public attention. However, the affected range indicated by a warning message and the formality of the message's language are not significantly related to public attention to the message.

To assess the effectiveness of Chinese regulations on occupational health and safety, this study provides an exploratory method by applying multiple interrupted time series (MITS) analysis. Taking coal mine safety in China as a case study, this article analyzes the background of the coal industry, especially during the period 1980-2009, and selects three typical pieces of national legislation specific to mining and work safety as the interventions. The data relevant to coal mine safety and the 'third variables' were collected to empirically support the study. The estimated results indicate different effects of these interventions on state-owned enterprise (SOE) mines and township and village enterprise (TVE) or small mines. Specifically, though the mortality rate in SOE mines is on a downward trend, these interventions have had no significant effect on it. However, only the 2002 act significantly reduced the mortality rate per million tons in TVE mines. The effectiveness of the interventions seems to depend on certain conditions, such as technology, administration and socioeconomic environment and type of coal mine. (J Contemp China/GIGA)

People memory system plays a key role in the decision‐making process (DMP). In order to examine its influence on decision‐making, an individual's memory‐based decision‐making system is developed, and then, we integrate the multi‐agent decision systems and construct a sequential risky decision model on the basis of an informational cascade. This study aims at exploring the public's decisions on whether or not to take protective actions under risk. The findings indicate that people with different strength of ties to friends and relatives make huge differences on decision‐making. In the group with weak ties, the agent's total size of decision information and the level of risk perception are reducing in the sequential decision process. We further prove that people with weak ties are more prone to take no protective action, and the probability is also decreasing with the decision turn. The sequence of people with strong ties makes decisions dynamically with the intensity of released information. Finally, the influences of forgetting rate and memory capacity on people's decision‐making are examined. The model provides a new line of thought about building a multi‐agent system of DMP, which is also very helpful for the design of an information management system during emergencies. Copyright © 2014 John Wiley & Sons, Ltd.

This study intends to develop an effect assessment model to better understand how firms build social reputation by leveraging sequential corporate social responsibility (CSR) events. It incorporates the rehearsal, association, and recency effects to construct a model of social reputation that is derived from sequential CSR events with fixed and random corporate audiences. The results show that the evolution model of social reputation over time is a monotonically increasing function that has an upper limit. In the situation of fixed audiences, there is a definable CSR reputation saturation point. The values of social reputation increase sharply in the first stage of the profiles, which indicates that the CSR events significantly affect the social reputation in the short time subsequent to the first CSR event, and then the social reputation grows slowly. In the situation of random audiences, social reputation will only continue to increase when both the memorability rate and the association rate are much higher. Copyright © 2014 John Wiley & Sons, Ltd.

Mass incidents are inevitable in contemporary China and the first thing we should learn is to adopt a correct attitude towards them. Based on the three elements-activity, interaction and sentiment-of collective behaviors in 52 mass incidents in China during 2007-2011, we find that collective behaviors in mass incidents show significant differences in activity, interaction and sentiment. A grade evaluation method is proposed to estimate the evolution of collective behaviors in 52 mass incidents and to classify such behaviors into five grades. Then the influence factors on the three elements are analyzed using multiple linear regression. The regression results demonstrate that the impacts of location, casualties, inner-group relations, group scale and duration on the three elements are very significant. Finally, in the light of the regression results, some implications of collective behavior in mass incidents are proposed for the relevant authorities in responding to mass incidents. (J Contemp China/GIGA)

This study intends to develop an effect assessment model to better understand how firms build social reputation by leveraging sequential corporate social responsibility (CSR) events. It incorporates the rehearsal, association, and recency effects to construct a model of social reputation that is derived from sequential CSR events with fixed and random corporate audiences. The results show that the evolution model of social reputation over time is a monotonically increasing function that has an upper limit. In the situation of fixed audiences, there is a definable CSR reputation saturation point. The values of social reputation increase sharply in the first stage of the profiles, which indicates that the CSR events significantly affect the social reputation in the short time subsequent to the first CSR event, and then the social reputation grows slowly. In the situation of random audiences, social reputation will only continue to increase when both the memorability rate and the association rate are much higher. [Copyright John Wiley and Sons, Ltd.]