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 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.

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.

Published in 1997, this study focused on building and empirically validating a model of family centred group care. This is an alternative to the traditional model of group child care that is primarily child centred and which reflects the notion of group care as a substitute for parental care. The model represents a step forward in the conceptualization of group care practice as both child centred and family affirming. The Family Centred Group Care instrument used in the study is unique in that this is the first to measure a model of group care empirically. The book will be of interest to child welfare practitioners, social workers, child care workers and other human service personnel as well as managers of agencies that provide group care services for children and at-risk youth. Researchers and policy makers will also find this book useful as the study advances the application of empirical methodology to human service programs.

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.

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

Effective software teams are essential for any organization to deliver value continuously and sustainably. But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity. In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams. Team Topologies is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization.