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Decision Making under Deep Uncertainty
41,99 € *
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This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Anbieter: buecher
Stand: 02.07.2020
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Decision Making under Deep Uncertainty
41,99 € *
ggf. zzgl. Versand

This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Anbieter: buecher
Stand: 02.07.2020
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Modeling and Analysis of Information Technology...
32,90 € *
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Modern information technologies require innovations that are based on modeling, analyzing,designing and finally implementing new systems. Modern info-communication networks are one of the most complex systems where the reliability and efficiency of the components play a very important role. For the better understanding of the dynamic behavior of the involved processes one have to deal with constructions of mathematical models which describe the stochastic service of randomly arriving requests. The aim of the book is to present the basic methods, approaches in a Markovian level for the analysis of not too complicated systems. The main purpose is to understand how models could be constructed and how to analyze them. It is assumed the reader has been exposed to a first course in probability theory, however in the text I give a refresher and state the most important principles I need later on. My intention is to show what is behind the formulas and how we can derive them. It is also essential to know which kind of questions are reasonable and then how to answer them.

Anbieter: Dodax
Stand: 02.07.2020
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Willingness to pay for Community Health Insuran...
59,00 € *
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Abstract Background: Willingness to pay data are rarely collected or used as part of designing health insurance schemes in developing countries. The objective of this study was to assess household heads willingness to pay for community health insurance and its determinants. Methodology: It was a descriptive cross-sectional study. Sample size of 360 was determined using Fishers formula and multistage sampling technique was used to select respondents. Semi structured interviewer administered questionnaire was used and data analysis was done using Epi-info version 3.4.1. Results: Respondents were willing to pay was 522.0 + 266.3 Naira per annum per household member (3.26 + 1.66 US Dollars). The factors that affect Willingness to pay were age, sex, educational attainment, income, household size, and past health expenditure. Conclusion: The amount of premium that should be fixed for Community Health Insurance in these rural communities should range between 250 Naira to 1,200 Naira (1.56 + 7.50 US Dollars) per annum per household member. Target Group 1. Public Health students 2. Health Insurance Companies 3. Non-Governmental Organizations 4. Governments leaders at various levels

Anbieter: Dodax
Stand: 02.07.2020
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Decision Making under Deep Uncertainty
49,73 € *
ggf. zzgl. Versand

This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Anbieter: Dodax
Stand: 02.07.2020
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Usability: The Site Speaks for Itself
74,90 CHF *
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37.8% of all Usability Pundits are wrong. That's about as accurate as any other sweeping generalization made by any other web usability guru. This book features case-studies in usability and information architecture from the makers of eBay, the BBC news on-line site, The Economist web site, SynFonts (a flash-driven font foundry e-commerce site), evolt (fully cross-browser compatible) and metafilter. Know your audience, design for your audience, test for usability, and solicit feedback from your audience. There are no hard-and-fast rules for usability on the Web, which is why this book steers away from the rigid rules of gurus. Instead, this book looks at six very different, but highly usable sites. The web professionals behind these sites discuss the design of each site from inception to today, how they solicited and responded to feedback, how they identified and dealt with problems, and how they meet the audience's needs and expectations. This book is edited by Molly E. Holzschlag, a member of Web Standards Project and author of a dozen books on web technologies, and Bruce Lawson, the brand manager of glasshaus. - Max Gadney of the BBC talks about the trials of moving from the TV medium to the Web, and the differences in usability requirements between the main news site, and the sports and children's sites - David Wertheimer talks of how The Economist's web site involved careful design work to ensure the branding mirrored the print magazine, and looks at implementing easily distinguished free content and subscription only sections - eBay: Kelly Braun and Tom Walter look at the work involved in designing an e-commerce site that makes a profit each quarter, while meeting the needs of 42 million users - Don Synstelein of SynFonts shows how he assembled a usable Flash-driven e-commerce site, which enhances his users' experience and protects his copyright. He shows that that, when used properly, Flash can be 100% ok - Adrian Roselli, an IA guy from evolt, writes on how they needed to be on the vanguard of usability and accessibility, compatible with every browser known to man ñ and yet maintain branding look and feel - Matt Haughey writes of his adventures in constructing Metafilter, a great community site, on no budget. This includes usability testing, usable advertising, and community management Book Info Issues covered include: Audience identification, User requirements and surfing methods, Decisions faced and blind alleys encountered, Translation of audience needs to site design, and Monitoring user feedback and behavior statistics. Softcover.

Anbieter: Orell Fuessli CH
Stand: 02.07.2020
Zum Angebot
Decision Making under Deep Uncertainty
71,90 CHF *
ggf. zzgl. Versand

This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them.  Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Anbieter: Orell Fuessli CH
Stand: 02.07.2020
Zum Angebot
Designing Mgmt Info Systems
230,00 CHF *
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Management information systems (MIS) produce the information that managers use to make important strategic decisions. This book takes a decidedly managerial perspective, focusing on how people perceive and respond to information, and how MIS design can use this information to help managers make better decisions, and avoid information overload.

Anbieter: Orell Fuessli CH
Stand: 02.07.2020
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Designing Online Info Lit Gamepb
163,00 CHF *
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Designing Online Information Literacy Games Students Want to Play sets the record straight with regard to the promise of games for motivating and teaching students in educational environments. The authors draw on their experience designing the BiblioBouts information literacy game, deploying it in dozens of college classrooms across the country, and evaluating its effectiveness for teaching students how to conduct library research. The multi-modal evaluation of BiblioBouts involved qualitative and quantitative data collection methods and analyses. Drawing on the evaluation, the authors describe how students played this particular information literacy game and make recommendations for the design of future information literacy games. You'll learn how the game's design evolved in response to student input and how students played the game including their attitudes about playing games to develop information literacy skills and concepts specifically and playing educational games generally. The authors describe how students benefited as a result of playing the game. Drawing from their own first-hand experience, research, and networking, the authors feature best practices that educators and game designers in LIS specifically and other educational fields generally need to know so that they build classroom games that students want to play. Best practices topics covered include pre-game instruction, rewards, feedback, the ability to review/change actions, ideal timing, and more. The final section of the book covers important concepts for future information literacy game design.

Anbieter: Orell Fuessli CH
Stand: 02.07.2020
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