Information sharing and decision-making in multidisciplinary crisis management teams

2018 ◽  
Vol 39 (6) ◽  
pp. 731-748 ◽  
Author(s):  
Sjir Uitdewilligen ◽  
Mary J. Waller
Keyword(s):  
Decision Making ◽  
Information Sharing ◽  
Crisis Management ◽  
Management Teams

Crisis Management Teams (CMT): Leveraging the Science of Team Performance under Stress

2002 ◽  
Vol 46 (3) ◽  
pp. 546-550 ◽  
Author(s):  
C. Shawn Burke ◽  
Katherine A. Wilson
Keyword(s):  
Decision Making ◽  
Crisis Management ◽  
Team Performance ◽  
Real World ◽  
Vital Role ◽  
Management Teams ◽  
Complex Environments ◽  
Work Skills ◽  
Explicit Training ◽  
The Impact

Crisis management teams play a vital role in our nation's ability to effectively respond to disaster situations. However, the tasks that these teams perform happen infrequently and are often ambiguous and dynamic in nature. Furthermore, they involve interdependent action from many different organizations that may not work together on a regular basis. While it is common to train members in task-work skills, less common is the explicit training of teamwork skills. Research and real-world examples show that teamwork is not an automatic consequence of being in a team. As CMTs are often interdisciplinary and operate in environments characterized by stressors effective teamwork becomes even more of a challenge. Several communities have invested heavily into understanding the impact of stress on teamwork and decision-making within complex environments. The focus of this paper will be extracting lessons from these communities in an effort to provide guidance to CMTs.

scholarly journals Government Administrative Control Tower in Crisis Management System: Definition, Issues, and Policy Implications

2015 ◽  
Vol 30 (3) ◽  
pp. 125-145
Author(s):  
Lee Dalgon
Keyword(s):  
Decision Making ◽  
Crisis Management ◽  
Management System ◽  
Prime Minister ◽  
Site Response ◽  
Management Control ◽  
Policy Implications ◽  
Administrative Control ◽  
Site Control

A number of scholars and media in South Korea have recently raised questions regarding the necessity of a "government administrative control tower" (GACT) for dealing with crises. This paper aims to conceptualize GACT as a crisis management system and suggests administrative methods for improving this model by examining issues raised by its operation. Since the control tower is critical in times of crisis, this paper limits its focus to the role of GACT as a crisis management control tower. In crisis, an on-site control tower focuses especially on prevention, and on-site response and management must be synchronized with a higher-level administrative decision making control tower for the system to operate properly. While a fully authorized on-site control tower should serve as the central agent, a higher-level administrative decision making control tower should mobilize additional organizations and resources to support on-site capability. The operating principle for the latter should be to create an environment in which heterogeneous parties work together to make decisions about what to do rather than the president or the prime minister directly making orders and taking control.

scholarly journals Supply Chain Finance Factors: An Interpretive Structural Modeling Approach

2021 ◽  
Vol 29 (1) ◽  
pp. 88-111
Author(s):  
Zericho Marak ◽  
◽  
Deepa Pillai ◽  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Information Sharing ◽  
Structural Modeling ◽  
Influential Factors ◽  
Previous Literature ◽  
Critical Factors ◽  
Interpretive Structural Modeling ◽  
Modeling Methodology ◽  
Supply Chain Finance

Purpose: The present study aims to identify the critical factors of supply chain finance and the interrelationship between the factors using interpretive structural modeling. Methodology: Factors of supply chain finance were identified from the literature and experts from both industry and academia were consulted to assess the contextual relationships between the factors. Then, we applied interpretive structural modeling to examine the interrelationships between these factors and find out the critical factors. Findings: The model outcome indicates information sharing and workforce to be the most influential factors, followed by the automation of trade and financial attractiveness. Originality/value: Previous literature identified various factors that influence supply chain finance. However, studies showing interrelationships between these factors are lacking. This study is unique in the field as it applies total interpretive structural modeling for assessing the factors that affect supply chain finance. Our model will aid practitioners’ decision-making and the adoption of supply chain finance by providing a necessary framework.

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