Applying social network analysis to evaluate preparedness through coordination and trust in emergency management
Creators: name: Bastani, Susan
name: Mohammadfam, Iraj
name: Rostam Golmohamadi
name: Saei, Ali
name: Mahbobeh Es-Haghi
Publisher: name: figshare
Year: 2020
Subjects: subject: 140219 Welfare Economics
subject: FOS: Economics and business
subject: FOS: Economics and business
subject: 140218 Urban and Regional Economics
subject: 140217 Transport Economics
subject: 140216 Tourism Economics
subject: 130108 Technical, Further and Workplace Education
subject: FOS: Educational sciences
subject: FOS: Educational sciences
subject: Sociology
subject: FOS: Sociology
subject: FOS: Sociology
subject: 130106 Secondary Education
subject: 140215 Public Economics- Taxation and Revenue
subject: 140214 Public Economics- Publically Provided Goods
subject: 140213 Public Economics- Public Choice
subject: 130105 Primary Education (excl. Maori)
subject: 140104 Microeconomic Theory
subject: 140212 Macroeconomics (incl. Monetary and Fiscal Theory)
subject: 140210 International Economics and International Finance
subject: 140101 History of Economic Thought
subject: 149903 Heterodox Economics
subject: 130103 Higher Education
subject: 140208 Health Economics
subject: 140206 Experimental Economics
subject: 130199 Education systems not elsewhere classified
subject: Education
subject: 140204 Economics of Education
subject: Economics
subject: 140199 Economic Theory not elsewhere classified
subject: 140303 Economic Models and Forecasting
subject: 140203 Economic History
subject: 140202 Economic Development and Growth
subject: 140399 Econometrics not elsewhere classified
subject: 140302 Econometric and Statistical Methods
subject: 130102 Early Childhood Education (excl. Maori)
subject: 140301 Cross-Sectional Analysis
subject: 130101 Continuing and Community Education
subject: 149901 Comparative Economic Systems
subject: 140299 Applied Economics not elsewhere classified
subject: Anthropology
subject: Archaeology

description: The purpose of this paper is to examine the status of the preparedness within emergency response team (ERT) in a refinery. Preparedness was investigated through trust and coordination relationships. Social network analysis as a quantitative approach was utilized in this research. To do this, social network analysis (SNA) indicators including density, degree, reciprocity and transitivity were utilized as a whole network. These indicators were calculated at the levels of first-line, supportive and whole teams. The required data were collected through structured interviews and were analyzed using UCINET 6.0 social network analysis program. The results of this study indicate that first-line teams can play a critical role in ERT, which is related to a higher level of SNA indicators and consequently the preparedness between team members can be easily achieved. In addition, the findings for the supportive teams revealed that they had relatively a low level of cohesion. However, the results of whole networks among all of teams had low level of cohesion that is a key challenge for performance of ERT. According to statistical results, there is a high correlation (82%) between trust and coordination networks. The finding of SNA provides a main opportunity for managers and planners to detect preparedness challenges based on coordination and trust ties among response teams of emergency management. This research suggests that fundamental efforts along with evaluation of the effectiveness of programs are needed to improve the presented situations and in order to optimize preparedness between response teams.