A Knowledge Management Framework for the Support of Decision Making in Humanitarian Assistance/Disaster Relief

2002 ◽  
Vol 4 (3) ◽  
pp. 370-385 ◽  
Author(s):  
Dongsong Zhang ◽  
Lina Zhou ◽  
Jay F. Nunamaker Jr
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Disaster Relief ◽  
Humanitarian Assistance ◽  
Management Framework

An Agent-Based Knowledge Management Framework for Marketing-Mix Decision Making

2015 ◽  
pp. 482-502
Author(s):  
Masoomeh Moradi ◽  
Abdollah Aghaie ◽  
Monireh Hosseini
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Business Environment ◽  
Marketing Mix ◽  
Agent Technology ◽  
Multi Agent System ◽  
Agent System ◽  
Management Framework ◽  
Agent Based ◽  
Multi Agent

Marketing-mix plays an essential role in the competitive business environment. Marketing decision makers constantly need to monitor changes in the environment and organization to make necessary changes. Therefore, a knowledge management system is required to acquire, store, retrieve and use up-to-dated knowledge. Corporations also tend to look for systems assisting them in knowledge management. Agent technology looks set for assisting organizations in collecting, processing and using knowledge with high accuracy, speed and efficiency. This paper proposes a knowledge management framework for marketing-mix decision making through using agent technology. A multi-agent system is deployed to acquire, refine, store, retrieve, present, show and update the related knowledge of marketing-mix decision making. The fuzzy logic is applied by multi-agent system to make decision. Implementation of the proposed system in a car factory indicates that it is efficient and effective in supporting and improving marketing-mix decision making.

Evidence-Based Decision-Making (Part II): Applications in Disaster Relief Operations

2009 ◽  
Vol 24 (6) ◽  
pp. 479-492 ◽  
Author(s):  
David A. Bradt
Keyword(s):  
Decision Making ◽  
Disaster Management ◽  
Disaster Relief ◽  
Data Gathering ◽  
Disaster Medicine ◽  
Humanitarian Assistance ◽  
Evidence Based ◽  
Disaster Relief Operations ◽  
Relief Operations ◽  
Evidenced Based

AbstractRecognized limitations to data in disaster management have led to dozens of initiatives to strengthen data gathering and decision-making during disasters. These initiatives are complicated by fundamental problems of definitions of terms, ambiguity of concepts, lack of standardization in methods of data collection, and inadequate attempts to strengthen the analytic capability of field organizations. Cross-cutting issues in needs assessment, coordination, and evaluation illustrate additional recurring challenges in dealing with evidence in humanitarian assistance. These challenges include lack of agency expertise, dyscoordination at the field level, inappropriate reliance on indicators that measure process rather than outcome, flawed scientific inference, and erosion of the concept of minimum standards.Decision-making in disaster management currently places a premium on expert or eminence-based decisions. By contrast, scientific advances in disaster medicine call for evidence-based decisions whose strength of evidence is established by the methods of data acquisition. At present, disaster relief operations may be data driven, but that does not mean that they are soundly evidence-based.Options for strengthening evidence-based activities include rigorously adhering to evidenced-based interventions, using evidence-based tools to identify new approaches to problems of concern, studying model programs as well as failed ones to identify approaches that deserve replication, and improving standards for evidence of effectiveness in disaster science and services.

scholarly journals Understanding Donor Behaviour: Actors and Processes in Disaster-Relief Decision-Making

2017 ◽  
Vol 11 (1) ◽  
Author(s):  
Aaida Mamuji
Keyword(s):  
Decision Making ◽  
Conceptual Framework ◽  
Natural Disasters ◽  
Disaster Relief ◽  
Humanitarian Assistance ◽  
Political Actors ◽  
Multi Level ◽  
Donor Behaviour ◽  
Extent Of Damage

Two of the largest natural disasters that hit in 2010 were the January earthquake in Haiti and the flooding in Pakistan which followed seven months later. Unlike Canada’s disaster-relief intervention to the earthquake, the response to the Pakistan floods has been argued to be comparatively minimal relative to the extent of damage sustained. Through a series of interviews with bureaucrats affecting Canada’s disaster-relief responses in both 2010 disasters, this paper asks, who (and what) really determines the scope and magnitude of international disaster-relief interventions? Through the development and application of a multi-level conceptual framework, donor behaviour is said to be affected by each of macro-institutional, meso-contextual and micro-foundational factors. The findings highlight the determinative role of political actors in shaping humanitarian assistance decisions.

An Agent-Based Knowledge Management Framework for Marketing-Mix Decision Making

2013 ◽  
Vol 4 (3) ◽  
pp. 109-128 ◽  
Author(s):  
Masoomeh Moradi ◽  
Abdollah Aghaie ◽  
Monireh Hosseini
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Business Environment ◽  
Marketing Mix ◽  
Agent Technology ◽  
Multi Agent System ◽  
Agent System ◽  
Management Framework ◽  
Agent Based ◽  
Multi Agent

Marketing-mix plays an essential role in the competitive business environment. Marketing decision makers constantly need to monitor changes in the environment and organization to make necessary changes. Therefore, a knowledge management system is required to acquire, store, retrieve and use up-to-dated knowledge. Corporations also tend to look for systems assisting them in knowledge management. Agent technology looks set for assisting organizations in collecting, processing and using knowledge with high accuracy, speed and efficiency. This paper proposes a knowledge management framework for marketing-mix decision making through using agent technology. A multi-agent system is deployed to acquire, refine, store, retrieve, present, show and update the related knowledge of marketing-mix decision making. The fuzzy logic is applied by multi-agent system to make decision. Implementation of the proposed system in a car factory indicates that it is efficient and effective in supporting and improving marketing-mix decision making.

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