Volume 18, Issue 1 (2021)
ioh 2021, 18(1): 89-101 |
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Research code: 9611037026
Ethics code: IR.UMSHA.REC.1396.706
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Abbassinia M, Kalatpour O, Motamedzade M, Soltanian A, Mohammadfam I, Ganjipour M et al . SOCIAL NETWORK ANALYSIS APPROACH TO ANALYSIS OF EMERGENCY MANAGEMENT TEAM PERFORMANCE. ioh 2021; 18 (1) : 7
URL: http://ioh.iums.ac.ir/article-1-2938-en.html
URL: http://ioh.iums.ac.ir/article-1-2938-en.html
Marzieh Abbassinia 
, Omid Kalatpour , Majid Motamedzade , Alireza Soltanian , Iraj Mohammadfam * , Mohammad Ganjipour , Leila Khodabandehloo
, Omid Kalatpour , Majid Motamedzade , Alireza Soltanian , Iraj Mohammadfam * , Mohammad Ganjipour , Leila Khodabandehloo
center of Excellence for Occupational Health, Occupational Health and Safety Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran , mohammadfam@umsha.ac.ir
Abstract: (2531 Views)
Since emergencies are often unpredictable, organizations need to be prepared to overcome the threats. In addition to emergency teams, coordination and preparedness also is very important in responding to emergencies. This study aimed to use social network analysis to improve the performance of an emergency management system in the petrochemical industry. The studied emergency was hydrogen leak from the cylinder joints in the olefin unit. Social Network Analysis (SNA) was used to evaluate the emergency team’s response. To collect the required information, emergency scenarios, questionnaires, and interviews with experts and specialists were used. Gephi software version 0.9.1 was used to analyze the social network data of this study. The findings of this study indicate a high disruption between members and low network density, the network density index was 0.108 which represents a significant gap between the members and the low coherence of the network. Meaning that only 10.8% of all possible connections between members of emergency management members were established. Low density leads to inconsistency and leads to lack of cooperation and poor performance in emergency management. The average degree showed that the manager of operations was the most influence on the network. The social network analysis approach helps managers and decision makers identify the strengths and weaknesses of an emergency response team, and focus on the interactions and relationships between teams and, as well as their coordination. Also, to achieve optimal coordination in emergency response, it is necessary to consider specific plans and instructions, and identification the tasks.
Article number: 7
Type of Study: Research |
Subject:
Safety
Received: 2020/09/6 | Accepted: 2021/03/16 | Published: 2020/09/23
Received: 2020/09/6 | Accepted: 2021/03/16 | Published: 2020/09/23
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