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Social media for enhanced understanding of disaster resilience during Hurricane Florence
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2021 | International Journal of Information Management | Citations: 1
Authors: Yuan, Faxi; Li, Min; Liu, Rui; Zhai, Wei; Qi, Bing

Abstract: Citizens with different demographic characters presented varying responses and b ... Expand

Abstract: Citizens with different demographic characters presented varying responses and behaviors in the same disasters. Their divergent responses can impact their actual damages during crises. Previous studies have employed social media for analyzing citizens’ crisis responses. However, these studies missed the demographic dimension. To resolve this limitation, this research proposes three objectives: 1) to explore the variances of sentiment polarities among different racial/ethnic and gender groups; 2) to investigate the concern themes in their expressions, including theme popularity and their sentiment towards these themes; 3) to enhance the understanding of social aspects of disaster resilience with the results of disaster response disparities. Results indicate that Hispanic and male groups are more likely to express negative sentiment. The black group pays the least attention to ‘hurricane warn’ and shows most interests in ‘pray/donate’. The white group is most optimistic about hurricane/flood impacts while the black group shows dissatisfaction towards ‘response’. The female group pays less attention to ‘hurricane warn’ while they are more optimistic towards ‘hurricane/flood impact’ and ‘response’ than the male group. Our findings can help crisis response managers identify the more sensitive/vulnerable groups in the crisis and provide on-target disaster evolution reports and relief resources to the corresponding demographic groups. Collapse

Semantic filters: pilot experiment macro level

Topics: Twitter hurricane social media database system analytical information system

Methods: sentiment analysis survey chi squared test machine learning topic model
TRACING THE DEVELOPMENT OF IDEAS IN DISTRIBUTED, IT-SUPPORTED TEAMS DURING SYNCHRONOUS COLLABORATION

2014 | European Conference On Information Systems | Citations: 0
Authors: Seeber, Isabella; Maier, Ronald; Ceravolo, Paolo; Frati, Fulvio

Abstract: Interaction in teams brings together team members’ knowledge and drives innovati ... Expand

Abstract: Interaction in teams brings together team members’ knowledge and drives innovation by shaping and reshaping ideas transiting through phases of collaboration. Organisations increasingly rely on teams in the hope that collaboration improves problem-solving or decision-making, especially in highly dynamic environments which require quick and reliable development, sharing, and application of knowledge. This paper investigates small group interaction in distributed, IT-supported teams during synchronous collaboration. It aims to understand the dynamics of interactions by tracing ideas to help improve processes and outcomes of team collaboration. The paper enriches a method of collaboration process analysis with the concept of idea trace, i.e. the aggregation of communication actions related to the same topic. Using idea traces, we suggest an approach to identify phases of collaboration, which are afterwards described with process interaction metrics. The metrics are used to analyse the team’s behaviour shaping development of ideas. The usefulness of the concept of idea trace and of the process interaction metrics is showcased in a case study with six teams of 27 professionals conducted in July 2013 in a medium-sized telecommunication company. The paper contributes to our understanding of collaborative development of ideas and the design of supportive IT to foster team collaboration. Collapse

Semantic filters: pilot experiment macro level

Topics: usability virtual teamwork IT enabled teamwork communication service infrastructure decision making

Methods: case study cluster analysis pilot experiment hierarchical clustering mixed method

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Social media for enhanced understanding of disaster resilience during Hurricane Florence

TRACING THE DEVELOPMENT OF IDEAS IN DISTRIBUTED, IT-SUPPORTED TEAMS DURING SYNCHRONOUS COLLABORATION