Improved healthcare disaster decision-making utilizing information extraction from complementary social media data during the COVID-19 pandemic [0.03%]
新冠肺炎疫情期间利用社交媒体信息提取改进医疗灾害决策能力
Domenic Kellner,Maximilian Lowin,Oliver Hinz
Domenic Kellner
Managing an extreme event like a healthcare disaster requires accurate information about the event's circumstances to comprehend the full consequences of acting. However, information quality is rarely optimal since it takes time to determin...
Financial distress prediction using integrated Z-score and multilayer perceptron neural networks [0.03%]
利用综合Z值和多层感知器神经网络进行财务困境预测
Desheng Wu,Xiyuan Ma,David L Olson
Desheng Wu
The COVID-19 pandemic led to a great deal of financial uncertainty in the stock market. An initial drop in March 2020 was followed by unexpected rapid growth over 2021. Therefore, financial risk forecasting continues to be a central issue i...
Data analytics and decision-making systems: Implications of the global outbreaks [0.03%]
数据与决策分析系统——全球疫情的启示
Desheng Wu,David L Olson,James H Lambert
Desheng Wu
Victim crisis communication strategy on digital media: A study of the COVID-19 pandemic [0.03%]
新冠肺炎疫情下 victim 事件的危机传播策略——以数字媒体平台为样本的观察研究
Suparna Dhar,Indranil Bose
Suparna Dhar
The COVID-19 pandemic and the lockdown bore a devastating impact on organizations across the globe. In this crisis, organizations belonged to the victim cluster, with a low crisis responsibility. Nevertheless, organizations needed to strate...
Mining voices from self-expressed messages on social-media: Diagnostics of mental distress during COVID-19 [0.03%]
社交媒体自我表达信息中的声音挖掘：COVID-19期间精神困扰的诊断
Rahul Kumar,Shubhadeep Mukherjee,Tsan-Ming Choi et al.
Rahul Kumar et al.
The COVID-19 pandemic has had a severe impact on mankind, causing physical suffering and deaths across the globe. Even those who have not contracted the virus have experienced its far-reaching impacts, particularly on their mental health. T...
Impact of information timeliness and richness on public engagement on social media during COVID-19 pandemic: An empirical investigation based on NLP and machine learning [0.03%]
基于NLP和机器学习的COVID-19大流行背景下信息及时性和丰富性对社交媒体公众参与影响的实证研究
Kai Li,Cheng Zhou,Xin Robert Luo et al.
Kai Li et al.
This paper investigates how information timeliness and richness affect public engagement using text data from China's largest social media platform during times of the COVID-19 pandemic. We utilize a similarity calculation method based on n...
IT-business alignment, big data analytics capability, and strategic decision-making: Moderating roles of event criticality and disruption of COVID-19 [0.03%]
信息技术与业务匹配、大数据分析能力以及战略性决策：COVID-19事件的严重性和干扰性的调节作用
Lifan Chen,Hefu Liu,Zhongyun Zhou et al.
Lifan Chen et al.
Prior research has confirmed the importance of IT-business alignment (ITBA) and big data analytics capability (BDAC) in supporting firms' strategic decision-making under normal circumstances. However, the global outbreak of COVID-19 has sig...
An explanatory machine learning framework for studying pandemics: The case of COVID-19 emergency department readmissions [0.03%]
一种解释性机器学习框架：以COVID-19急诊再入院为例研究大流行病
Behrooz Davazdahemami,Hamed M Zolbanin,Dursun Delen
Behrooz Davazdahemami
One of the major challenges that confront medical experts during a pandemic is the time required to identify and validate the risk factors of the novel disease and to develop an effective treatment protocol. Traditionally, this process invo...
A decision analytic approach for social distancing policies during early stages of COVID-19 pandemic [0.03%]
决策分析在疫情期间采用社会距离政策的方法
Zeynep Ertem,Ozgur M Araz,Mayteé Cruz-Aponte
Zeynep Ertem
The COVID-19 pandemic has become a crucial public health problem in the world that disrupted the lives of millions in many countries including the United States. In this study, we present a decision analytic approach which is an efficient t...
Decisions on train rescheduling and locomotive assignment during the COVID-19 outbreak: A case of the Beijing-Tianjin intercity railway [0.03%]
新冠肺炎疫情期间列车调点和机车分配决策研究--以京津城际铁路为例
Liujiang Kang,Yue Xiao,Huijun Sun et al.
Liujiang Kang et al.
Travel restriction measures have been widely implemented to curb the continued spread of COVID-19 during the Chinese Lunar New Year celebrations. Many operation lines and train schedules of China's railway were either heavily adjusted or ca...