scholarly journals Data-informed decision-making for life-saving commodities investments in Malawi: A qualitative case study

2018 ◽  
Vol 30 (2) ◽  
pp. 111
Author(s):  
Bennett Nemser
Keyword(s):  
Decision Making ◽  
Qualitative Case Study ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Life Saving ◽  
Data Informed

Pandemic promises: Interrogating espoused data‐informed decision‐making

2020 ◽  
Vol 2020 (187-188) ◽  
pp. 43-54
Author(s):  
James D. Breslin ◽  
Tara Lawson‐Harris ◽  
Beck Hawkins ◽  
Becki Elkins
Keyword(s):  
Decision Making ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Data Informed

scholarly journals Moving data off the shelf and into action: an intervention to improve data-informed decision making in Côte d'Ivoire

2014 ◽  
Vol 7 (1) ◽  
pp. 25035 ◽  
Author(s):  
Tara Nutley ◽  
Léontine Gnassou ◽  
Moussa Traore ◽  
Abitche Edwige Bosso ◽  
Stephanie Mullen
Keyword(s):  
Decision Making ◽  
Cote D'ivoire ◽  
Côte D’Ivoire ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Cote D’Ivoire ◽  
Côte D'ivoire ◽  
Data Informed

Measuring Principals’ Data-Informed Decision-Making on High-Impact Strategies

2016 ◽  
Vol 26 (3) ◽  
pp. 407-435 ◽  
Author(s):  
Jianping Shen ◽  
Xin Ma ◽  
Van E. Cooley ◽  
Walter L. Burt
Keyword(s):  
Decision Making ◽  
High Impact ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Data Informed

scholarly journals Convergent analytics and informed decision-making: A retrospective multimethod case study project in Kenya

2017 ◽  
Vol 6 (2) ◽  
pp. 214-225
Author(s):  
Irene Podolak ◽  
Anteneh Ayanso ◽  
Maureen Connolly ◽  
Madelyn Law ◽  
Jarold Cosby
Keyword(s):  
Decision Making ◽  
Informed Decision ◽  
Informed Decision Making

scholarly journals Organizational impact of evidence-informed decision making training initiatives: a case study comparison of two approaches

2014 ◽  
Vol 9 (1) ◽  
Author(s):  
François Champagne ◽  
Louise Lemieux-Charles ◽  
Marie-France Duranceau ◽  
Gail MacKean ◽  
Trish Reay
Keyword(s):  
Decision Making ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Organizational Impact

System Risk Importance Analysis Using Bayesian Networks

2018 ◽  
Vol 25 (01) ◽  
pp. 1850004 ◽  
Author(s):  
Ali Noroozian ◽  
Reza Baradaran Kazemzadeh ◽  
Seyed Taghi Akhavan Niaki ◽  
Enrico Zio
Keyword(s):  
Decision Making ◽  
Bayesian Networks ◽  
Structural Characteristics ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Risk Modeling ◽  
Modeling And Analysis ◽  
Importance Analysis ◽  
System Risk

Importance measures (IMs) are used for risk-informed decision making in system operations, safety, and maintenance. Traditionally, they are computed within fault tree (FT) analysis. Although FT analysis is a powerful tool to study the reliability and structural characteristics of systems, Bayesian networks (BNs) have shown explicit advantages in modeling and analytical capabilities. In this paper, the traditional definitions of IMs are extended to BNs in order to have more capability in terms of system risk modeling and analysis. Implementation results on a case study illustrate the capability of finding the most important components in a system.

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