Making Decisions The Facilitator's Guide - Item 1241 PDF Download

Author:
Publisher: Hazelden Publishing
ISBN:
Category :
Languages : en
Pages : 12

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Author: Hazelden
Publisher: Hazelden Publishing
ISBN: 9781616490119
Category :
Languages : en
Pages : 52

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Author: Coscarelli
Publisher:
ISBN: 9780470251263
Category :
Languages : en
Pages :

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Author: William C. Coscarelli
Publisher: Pfeiffer
ISBN: 9780787997144
Category : Business & Economics
Languages : en
Pages : 128

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Book Description
Decision-making skills are mission-critical in today's competitive environment, and a prerequisite for leadership advancement. Boost them with the Decision-Making Style Inventory (DMI). The DMI is a powerful tool for helping leaders immediately understand their decision-making style, identify potential roadblocks to career advancement, and learn more effective ways of interacting with others. This validated and reliable assessment: Identifies an individual's decision making style preference. Is an easy to administer, 20-item Likert assessment that takes only 10 minutes to complete and self score. Gives advice on style effectiveness, how to communicate successfully with other styles, and style flexibility. Can be applied in multiple areas, including leadership, career planning, communication, strategic planning, creativity, and innovation. The Facilitator's Guide offers everything you need to successfully administer the Decision Making Style Inventory. The Guide includes the inventory's complete technical data -- validation, correlation, and reliability statistics; a section devoted to decision making theory; advice on creating action plans for developing style flexibility; and a sample of both the Decision Making Inventory and the Participant's Workbook.

Author: Sam Kaner
Publisher:
ISBN:
Category : Consensus (Social sciences)
Languages : en
Pages :

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Author: SAM KANER
Publisher:
ISBN: 9781119789062
Category :
Languages : en
Pages :

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Author: Jon Warner
Publisher: Human Resource Development
ISBN: 9780874256857
Category : Business & Economics
Languages : en
Pages : 120

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Author: Johns Hopkins University Hospital Staff
Publisher:
ISBN: 9780538698252
Category :
Languages : en
Pages : 88

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Author: Ellen Nolte
Publisher: Cambridge University Press
ISBN: 1108803725
Category : Political Science
Languages : en
Pages : 421

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Book Description
The idea of person-centred health systems is widely advocated in political and policy declarations to better address health system challenges. A person-centred approach is advocated on political, ethical and instrumental grounds and believed to benefit service users, health professionals and the health system more broadly. However, there is continuing debate about the strategies that are available and effective to promote and implement 'person-centred' approaches. This book brings together the world's leading experts in the field to present the evidence base and analyse current challenges and issues. It examines 'person-centredness' from the different roles people take in health systems, as individual service users, care managers, taxpayers or active citizens. The evidence presented will not only provide invaluable policy advice to practitioners and policymakers working on the design and implementation of person-centred health systems but will also be an excellent resource for academics and graduate students researching health systems in Europe. This title is available as Open Access on Cambridge Core.

Author: Mykel J. Kochenderfer
Publisher: MIT Press
ISBN: 0262331713
Category : Computers
Languages : en
Pages : 350

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Book Description
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.