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Related Concept Videos

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
Manipulation and Analysis01:21

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...

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Related Experiment Videos

Knowledge creation and reliable decision-making in complex emergencies.

Bjørn Ivar Kruke1, Odd Einar Olsen

  • 1Department of Media, Culture and Social Sciences, Faculty of Social Sciences, University of Stavanger, Norway. bjorn.i.kruke@uis.no

Disasters
|October 14, 2011
PubMed
Summary
This summary is machine-generated.

Effective coordination in relief organizations hinges on better knowledge sharing and decentralized decision-making. Improving information flow and including local staff are key to enhancing organizational effectiveness.

Related Experiment Videos

Area of Science:

  • Humanitarian Aid
  • Organizational Studies
  • International Relations

Background:

  • Relief organizations require effective information dissemination between field operations and headquarters for successful coordination.
  • Challenges in information quality, such as excessive detail and lack of context, hinder headquarters' understanding of critical field issues.

Purpose of the Study:

  • To investigate the impact of knowledge creation and decision-making authority on coordination within relief organizations.
  • To identify factors influencing information flow and decision-making processes in humanitarian aid settings.

Main Methods:

  • Data collection involved fieldwork in Darfur and Khartoum, Sudan (2005, 2007), and surveys at international non-governmental organization headquarters (2003).
  • Qualitative analysis of information dissemination, knowledge accumulation, and decision-making structures within humanitarian organizations.

Main Results:

  • Field reporting often lacks clarity, overwhelming headquarters and impeding effective decision-making.
  • High staff turnover and limited inclusion of local personnel disrupt knowledge continuity and organizational learning.
  • Centralized decision-making structures are prevalent, yet hinder agile responses and field-level coordination.

Conclusions:

  • Establishing 'collective-meaning structures' through reliable information sharing across all levels is crucial.
  • Decentralizing decision-making authority to field officers involved in inter-organizational coordination can improve responsiveness.
  • Enhancing internal decision-making systems is fundamental for achieving more efficient and reliable inter-organizational coordination in humanitarian responses.