Group Model Building
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Group Model Building
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Author : Jac A. M. Vennix
language : en
Publisher: John Wiley & Sons
Release Date : 1996-08-16
Group Model Building written by Jac A. M. Vennix and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-08-16 with Business & Economics categories.
This book is about increasing team performance. It focuses on building system dynamics models when tackling a mix of interrelated strategic problems to enhance team learning, foster consensus, and create commitment. The book is intended to be applied in the organizations of today. As the "command and control" organization evolves into one of decision-making teams, so these teams have become the critical building blocks upon which the performance of the organization depends. The team members face an increased complexity of decision making with the interrelation of several strategic problems. What this means is that people have different views of the situation and will define problems differently. However, research shows that this can in fact be very productive if and when people learn from each other in order to build a shared perspective. Learning in this way might prove to be the only sustainable competitive advantage for organizations in the future. As a result, team leaders want to create "learning teams" and are confronted with issues such as how to: create a situation where people doubt their ideas rather than stubbornly cling to dearly held views create a learning atmosphere rather than trying to "win" the discussion create a shared understanding of a problem in a team foster consensus and create commitment with a strategic decision facilitate Group Model Building Those who will benefit most from Group Model Building: Facilitating Team Learning Using System Dynamics are those who are familiar with systems thinking or organizational learning, or those who are working in groups and are coming up against the common difficulties.
Community Based System Dynamics
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Author : Peter S. Hovmand
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-09
Community Based System Dynamics written by Peter S. Hovmand and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-09 with Psychology categories.
Community Based System Dynamics introduces researchers and practitioners to the design and application of participatory systems modeling with diverse communities. The book bridges community- based participatory research methods and rigorous computational modeling approaches to understanding communities as complex systems. It emphasizes the importance of community involvement both to understand the underlying system and to aid in implementation. Comprehensive in its scope, the volume includes topics that span the entire process of participatory systems modeling, from the initial engagement and conceptualization of community issues to model building, analysis, and project evaluation. Community Based System Dynamics is a highly valuable resource for anyone interested in helping to advance social justice using system dynamics, community involvement, and group model building, and helping to make communities a better place.
Group Model Building
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Author : Rodney Scott
language : en
Publisher: Springer
Release Date : 2018-06-12
Group Model Building written by Rodney Scott and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-12 with Business & Economics categories.
This book describes the cognitive and interpersonal effects of group model building, and presents empirical research on what group model building achieves and how. Further, it proposes an integrated causal mechanism for the effects on participants. There have been multiple previous attempts at explaining the effects of group model building on participants, and this book integrates these various theories for the first time. The causal mechanisms described here suggest a variety of design elements that should be included in group model building practice. For example, practitioners typically try to reduce complexity for clients, to make the process feel more accessible. In contrast, the findings presented here suggest that the very act of muddling through complexity increases participants’ affective commitment to the group and the decisions made. The book also describes implications for theory and practice. System dynamics has traditionally been interested in using technical modeling processes to make policy recommendations. Group model building demonstrates that these same techniques also have implications for group decision making as a method for negotiating agreement. The book argues for the value of group model building as a mediating or negotiating tool, rather than merely a positivist tool for technical problems.
R For Data Science
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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12
R For Data Science written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Empowered
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Author : Marty Cagan
language : en
Publisher: John Wiley & Sons
Release Date : 2020-12-03
Empowered written by Marty Cagan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-03 with Business & Economics categories.
What is it about the top tech product companies such as Amazon, Apple, Google, Netflix and Tesla that enables their record of consistent innovation? Most people think it’s because these companies are somehow able to find and attract a level of talent that makes this innovation possible. But the real advantage these companies have is not so much who they hire, but rather how they enable their people to work together to solve hard problems and create extraordinary products. As legendary Silicon Valley coach--and coach to the founders of several of today’s leading tech companies--Bill Campbell said, “Leadership is about recognizing that there's a greatness in everyone, and your job is to create an environment where that greatness can emerge.” The goal of EMPOWERED is to provide you, as a leader of product management, product design, or engineering, with everything you’ll need to create just such an environment. As partners at The Silicon Valley Product Group, Marty Cagan and Chris Jones have long worked to reveal the best practices of the most consistently innovative companies in the world. A natural companion to the bestseller INSPIRED, EMPOWERED tackles head-on the reason why most companies fail to truly leverage the potential of their people to innovate: product leadership. The book covers: what it means to be an empowered product team, and how this is different from the “feature teams” used by most companies to build technology products recruiting and coaching the members of product teams, first to competence, and then to reach their potential creating an inspiring product vision along with an insights-driven product strategy translating that strategy into action by empowering teams with specific objectives—problems to solve—rather than features to build redefining the relationship of the product teams to the rest of the company detailing the changes necessary to effectively and successfully transform your organization to truly empowered product teams EMPOWERED puts decades of lessons learned from the best leaders of the top technology companies in your hand as a guide. It shows you how to become the leader your team and company needs to not only survive but thrive.
Logistic Regression
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Author : Scott W. Menard
language : en
Publisher: SAGE
Release Date : 2010
Logistic Regression written by Scott W. Menard and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.
Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who want to analyze dichotomous, nominal, and ordinal dependent variables cross-sectionally and longitudinally.
The 4 Stages Of Psychological Safety
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Author : Timothy R. Clark
language : en
Publisher: Berrett-Koehler Publishers
Release Date : 2020-03-03
The 4 Stages Of Psychological Safety written by Timothy R. Clark and has been published by Berrett-Koehler Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-03 with Business & Economics categories.
This book is the first practical, hands-on guide that shows how leaders can build psychological safety in their organizations, creating an environment where employees feel included, fully engaged, and encouraged to contribute their best efforts and ideas. Fear has a profoundly negative impact on engagement, learning efficacy, productivity, and innovation, but until now there has been a lack of practical information on how to make employees feel safe about speaking up and contributing. Timothy Clark, a social scientist and an organizational consultant, provides a framework to move people through successive stages of psychological safety. The first stage is member safety-the team accepts you and grants you shared identity. Learner safety, the second stage, indicates that you feel safe to ask questions, experiment, and even make mistakes. Next is the third stage of contributor safety, where you feel comfortable participating as an active and full-fledged member of the team. Finally, the fourth stage of challenger safety allows you to take on the status quo without repercussion, reprisal, or the risk of tarnishing your personal standing and reputation. This is a blueprint for how any leader can build positive, supportive, and encouraging cultures in any setting.
The Advantage
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Author : Patrick M. Lencioni
language : en
Publisher: John Wiley & Sons
Release Date : 2012-03-14
The Advantage written by Patrick M. Lencioni and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-14 with Business & Economics categories.
There is a competitive advantage out there, arguably more powerful than any other. Is it superior strategy? Faster innovation? Smarter employees? No, New York Times best-selling author, Patrick Lencioni, argues that the seminal difference between successful companies and mediocre ones has little to do with what they know and how smart they are and more to do with how healthy they are. In this book, Lencioni brings together his vast experience and many of the themes cultivated in his other best-selling books and delivers a first: a cohesive and comprehensive exploration of the unique advantage organizational health provides. Simply put, an organization is healthy when it is whole, consistent and complete, when its management, operations and culture are unified. Healthy organizations outperform their counterparts, are free of politics and confusion and provide an environment where star performers never want to leave. Lencioni’s first non-fiction book provides leaders with a groundbreaking, approachable model for achieving organizational health—complete with stories, tips and anecdotes from his experiences consulting to some of the nation’s leading organizations. In this age of informational ubiquity and nano-second change, it is no longer enough to build a competitive advantage based on intelligence alone. The Advantage provides a foundational construct for conducting business in a new way—one that maximizes human potential and aligns the organization around a common set of principles.
The Rocket Model
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Author : Gordon J. Curphy
language : en
Publisher:
Release Date : 2012-05-01
The Rocket Model written by Gordon J. Curphy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-01 with Leadership categories.
Bayes Rules
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Author : Alicia A. Johnson
language : en
Publisher: CRC Press
Release Date : 2022-03-03
Bayes Rules written by Alicia A. Johnson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-03 with Mathematics categories.
Praise for Bayes Rules!: An Introduction to Applied Bayesian Modeling “A thoughtful and entertaining book, and a great way to get started with Bayesian analysis.” Andrew Gelman, Columbia University “The examples are modern, and even many frequentist intro books ignore important topics (like the great p-value debate) that the authors address. The focus on simulation for understanding is excellent.” Amy Herring, Duke University “I sincerely believe that a generation of students will cite this book as inspiration for their use of – and love for – Bayesian statistics. The narrative holds the reader’s attention and flows naturally – almost conversationally. Put simply, this is perhaps the most engaging introductory statistics textbook I have ever read. [It] is a natural choice for an introductory undergraduate course in applied Bayesian statistics." Yue Jiang, Duke University “This is by far the best book I’ve seen on how to (and how to teach students to) do Bayesian modeling and understand the underlying mathematics and computation. The authors build intuition and scaffold ideas expertly, using interesting real case studies, insightful graphics, and clear explanations. The scope of this book is vast – from basic building blocks to hierarchical modeling, but the authors’ thoughtful organization allows the reader to navigate this journey smoothly. And impressively, by the end of the book, one can run sophisticated Bayesian models and actually understand the whys, whats, and hows.” Paul Roback, St. Olaf College “The authors provide a compelling, integrated, accessible, and non-religious introduction to statistical modeling using a Bayesian approach. They outline a principled approach that features computational implementations and model assessment with ethical implications interwoven throughout. Students and instructors will find the conceptual and computational exercises to be fresh and engaging.” Nicholas Horton, Amherst College An engaging, sophisticated, and fun introduction to the field of Bayesian statistics, Bayes Rules!: An Introduction to Applied Bayesian Modeling brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, the book is an ideal resource for advanced undergraduate statistics students and practitioners with comparable experience. Bayes Rules! empowers readers to weave Bayesian approaches into their everyday practice. Discussions and applications are data driven. A natural progression from fundamental to multivariable, hierarchical models emphasizes a practical and generalizable model building process. The evaluation of these Bayesian models reflects the fact that a data analysis does not exist in a vacuum. Features • Utilizes data-driven examples and exercises. • Emphasizes the iterative model building and evaluation process. • Surveys an interconnected range of multivariable regression and classification models. • Presents fundamental Markov chain Monte Carlo simulation. • Integrates R code, including RStan modeling tools and the bayesrules package. • Encourages readers to tap into their intuition and learn by doing. • Provides a friendly and inclusive introduction to technical Bayesian concepts. • Supports Bayesian applications with foundational Bayesian theory.