Author: Raanan Lipshitz
Publisher: SAGE
ISBN: 1452236542
Category : Business & Economics
Languages : en
Pages : 297
Book Description
This book presents a solid, research-based conceptual framework that demystifies organizational learning and bridges the gap between theory and practice. Using an integrative approach, authors Raanan Lipshitz, Victor Friedman and Micha Popper provide practitioners and researchers with tools for understanding organizational learning under real-world conditions. Key Features: Tackles the problem of mystification: A clear message is presented that organizational learning and related concepts have been mystified in a way that is unnecessary and dysfunctional to both theory and practice. This book provides a unique set of tools for understanding, promoting, and studying organizational learning. Introduces an integrative theme that addresses three key questions: How can organizations actually learn? What is the key for productive organizational learning? When is productive organizational learning likely to occur? Answering these questions is the key to clarifying the conceptual confusion that plagues the related fields of organizational learning, learning organizations, and knowledge management. Illuminates organizational reality: All of the concepts presented in the book are illustrated through concrete case examples. Detailed analyses are provided of both successful and unsuccessful applications of organizational learning. In addition, examples of interventions to develop organizational learning are included to help managers and consultants. Intended Audience: This book is designed for advanced undergraduate and graduate courses such as Organizational Learning, Knowledge Management, and Organizational Behavior in the departments of Management, Organizational Behavior, Psychology, and Sociology.
Demystifying Organizational Learning
Author: Raanan Lipshitz
Publisher: SAGE
ISBN: 1452236542
Category : Business & Economics
Languages : en
Pages : 297
Book Description
This book presents a solid, research-based conceptual framework that demystifies organizational learning and bridges the gap between theory and practice. Using an integrative approach, authors Raanan Lipshitz, Victor Friedman and Micha Popper provide practitioners and researchers with tools for understanding organizational learning under real-world conditions. Key Features: Tackles the problem of mystification: A clear message is presented that organizational learning and related concepts have been mystified in a way that is unnecessary and dysfunctional to both theory and practice. This book provides a unique set of tools for understanding, promoting, and studying organizational learning. Introduces an integrative theme that addresses three key questions: How can organizations actually learn? What is the key for productive organizational learning? When is productive organizational learning likely to occur? Answering these questions is the key to clarifying the conceptual confusion that plagues the related fields of organizational learning, learning organizations, and knowledge management. Illuminates organizational reality: All of the concepts presented in the book are illustrated through concrete case examples. Detailed analyses are provided of both successful and unsuccessful applications of organizational learning. In addition, examples of interventions to develop organizational learning are included to help managers and consultants. Intended Audience: This book is designed for advanced undergraduate and graduate courses such as Organizational Learning, Knowledge Management, and Organizational Behavior in the departments of Management, Organizational Behavior, Psychology, and Sociology.
Publisher: SAGE
ISBN: 1452236542
Category : Business & Economics
Languages : en
Pages : 297
Book Description
This book presents a solid, research-based conceptual framework that demystifies organizational learning and bridges the gap between theory and practice. Using an integrative approach, authors Raanan Lipshitz, Victor Friedman and Micha Popper provide practitioners and researchers with tools for understanding organizational learning under real-world conditions. Key Features: Tackles the problem of mystification: A clear message is presented that organizational learning and related concepts have been mystified in a way that is unnecessary and dysfunctional to both theory and practice. This book provides a unique set of tools for understanding, promoting, and studying organizational learning. Introduces an integrative theme that addresses three key questions: How can organizations actually learn? What is the key for productive organizational learning? When is productive organizational learning likely to occur? Answering these questions is the key to clarifying the conceptual confusion that plagues the related fields of organizational learning, learning organizations, and knowledge management. Illuminates organizational reality: All of the concepts presented in the book are illustrated through concrete case examples. Detailed analyses are provided of both successful and unsuccessful applications of organizational learning. In addition, examples of interventions to develop organizational learning are included to help managers and consultants. Intended Audience: This book is designed for advanced undergraduate and graduate courses such as Organizational Learning, Knowledge Management, and Organizational Behavior in the departments of Management, Organizational Behavior, Psychology, and Sociology.
Demystifying Organizational Learning
Author: Raanan Lipshitz
Publisher: SAGE Publications
ISBN: 1452222517
Category : Business & Economics
Languages : en
Pages : 297
Book Description
This book presents a solid, research-based conceptual framework that demystifies organizational learning and bridges the gap between theory and practice. Using an integrative approach, authors Raanan Lipshitz, Victor Friedman and Micha Popper provide practitioners and researchers with tools for understanding organizational learning under real-world conditions.
Publisher: SAGE Publications
ISBN: 1452222517
Category : Business & Economics
Languages : en
Pages : 297
Book Description
This book presents a solid, research-based conceptual framework that demystifies organizational learning and bridges the gap between theory and practice. Using an integrative approach, authors Raanan Lipshitz, Victor Friedman and Micha Popper provide practitioners and researchers with tools for understanding organizational learning under real-world conditions.
Handbook of Organizational Learning and Knowledge
Author: Meinolf Dierkes
Publisher: Oxford University Press, USA
ISBN: 9780198295822
Category : Business & Economics
Languages : en
Pages : 1012
Book Description
This is an overview of how the concept of organisational learning emerged, how it has been used and debated, and where it may be going.
Publisher: Oxford University Press, USA
ISBN: 9780198295822
Category : Business & Economics
Languages : en
Pages : 1012
Book Description
This is an overview of how the concept of organisational learning emerged, how it has been used and debated, and where it may be going.
Demystifying Professional Learning Communities
Author: Kristine Kiefer Hipp
Publisher: R&L Education
ISBN: 1607090511
Category : Education
Languages : en
Pages : 176
Book Description
The purpose of this book is to clearly define an approach to school improvement that uses professional learning community (PLC) practices to achieve school improvement and success for every student. This book offers information, examples and case studies to clarify the concept of a PLC, to respond to critical issues in schools, and to support educational leaders in addressing the important mandates of accountability and school improvement. As school leaders proactively lead efforts to create learning communities, their schools, districts, and staff will incorporate knowledge, skills, and practices that focus on teaching and learning for all. The authors' findings will assist leaders, change agents, policy makers, and university faculty in guiding schools toward creating and maintaining PLCs as they sustain school improvement for student learning.
Publisher: R&L Education
ISBN: 1607090511
Category : Education
Languages : en
Pages : 176
Book Description
The purpose of this book is to clearly define an approach to school improvement that uses professional learning community (PLC) practices to achieve school improvement and success for every student. This book offers information, examples and case studies to clarify the concept of a PLC, to respond to critical issues in schools, and to support educational leaders in addressing the important mandates of accountability and school improvement. As school leaders proactively lead efforts to create learning communities, their schools, districts, and staff will incorporate knowledge, skills, and practices that focus on teaching and learning for all. The authors' findings will assist leaders, change agents, policy makers, and university faculty in guiding schools toward creating and maintaining PLCs as they sustain school improvement for student learning.
Demystifying AI for the Enterprise
Author: Prashant Natarajan
Publisher: CRC Press
ISBN: 1351032925
Category : Computers
Languages : en
Pages : 465
Book Description
Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.
Publisher: CRC Press
ISBN: 1351032925
Category : Computers
Languages : en
Pages : 465
Book Description
Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.
Demystifying Technical Training
Author: Wendy L. Combs
Publisher: John Wiley & Sons
ISBN: 0470634545
Category : Business & Economics
Languages : en
Pages : 258
Book Description
Praise for Demystifying Technical Training "Demystifying Technical Training is a must-read for CLOs, managers of training, instructors, and instructional designers. All who read it will gain critical insights into how to lower the cost and improve the efficiency and effectiveness of learning." —Wm. Douglas Harward, CEO and founder of Training Industry, Inc. "Individuals interested in and accountable for deriving significant value from technical training investments will gain great benefit from reading this book and applying its wisdom." —Karen Kocher, CLO at Cigna Healthcare "Demystifying Technical Training is an essential, complete guide for any learning organization. The overviews and concepts are clearly stated, while the case studies and sidebars provide practical examples you can apply in your situation." —Jean Barbazette, president of The Training Clinic and author of Managing the Training Function for Bottom-Line Results "Considering the cost of acquiring and developing talent, why wouldn't all CEO/COOs insist on investing in people to improve results and reduce risk? This book demystifies the process of developing technical experts to increase the return on investment in human capital. Bravo!" —Martin J. Menard, former group CIO at Intel Corporation "Technical training is a key to sustaining competitiveness in the new economy. Learn how to leverage and optimize its value in your organization through this wonderfully insightful and practical resource." —Dr. Arthur L. Jue, director of global organization and talent development at Oracle and co-author of Social Media at Work: How Networking Tools Propel Organizational Performance "Don't be misled by the title—this book—while focusing on the often segmented world of domain specific job skills—provides guidance valid for the full spectrum of workforce learning from soft-skills to 'technical' skills." —Ruth Clark, principal and president of Clark Training & Consulting and author of e-Learning and the Science of Instruction
Publisher: John Wiley & Sons
ISBN: 0470634545
Category : Business & Economics
Languages : en
Pages : 258
Book Description
Praise for Demystifying Technical Training "Demystifying Technical Training is a must-read for CLOs, managers of training, instructors, and instructional designers. All who read it will gain critical insights into how to lower the cost and improve the efficiency and effectiveness of learning." —Wm. Douglas Harward, CEO and founder of Training Industry, Inc. "Individuals interested in and accountable for deriving significant value from technical training investments will gain great benefit from reading this book and applying its wisdom." —Karen Kocher, CLO at Cigna Healthcare "Demystifying Technical Training is an essential, complete guide for any learning organization. The overviews and concepts are clearly stated, while the case studies and sidebars provide practical examples you can apply in your situation." —Jean Barbazette, president of The Training Clinic and author of Managing the Training Function for Bottom-Line Results "Considering the cost of acquiring and developing talent, why wouldn't all CEO/COOs insist on investing in people to improve results and reduce risk? This book demystifies the process of developing technical experts to increase the return on investment in human capital. Bravo!" —Martin J. Menard, former group CIO at Intel Corporation "Technical training is a key to sustaining competitiveness in the new economy. Learn how to leverage and optimize its value in your organization through this wonderfully insightful and practical resource." —Dr. Arthur L. Jue, director of global organization and talent development at Oracle and co-author of Social Media at Work: How Networking Tools Propel Organizational Performance "Don't be misled by the title—this book—while focusing on the often segmented world of domain specific job skills—provides guidance valid for the full spectrum of workforce learning from soft-skills to 'technical' skills." —Ruth Clark, principal and president of Clark Training & Consulting and author of e-Learning and the Science of Instruction
Demystifying Big Data and Machine Learning for Healthcare
Author: Prashant Natarajan
Publisher: CRC Press
ISBN: 1315389304
Category : Medical
Languages : en
Pages : 227
Book Description
Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.
Publisher: CRC Press
ISBN: 1315389304
Category : Medical
Languages : en
Pages : 227
Book Description
Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.
Organizational Learning
Author: Linda Argote
Publisher: Springer Science & Business Media
ISBN: 1461452511
Category : Business & Economics
Languages : en
Pages : 226
Book Description
Why do some organizations learn at faster rates than others? Why do organizations "forget"? Could productivity gains acquired in one part of an organization be transferred to another? These are among the questions addressed in Organizational Learning: Creating, Retaining and Transferring Knowledge. Since its original publication in 1999, this book has set the standard for research and analysis in the field. This fully updated and expanded edition showcases the most current research and insights, featuring a new chapter that provides a theoretical framework for analyzing organizational learning and presents evidence about how the organizational context affects learning processes and outcomes. Drawing from a wide array of studies across the spectrum of management, economics, sociology, and psychology, Organizational Learning explores the dynamics of learning curves in organizations, with particular emphasis on how individuals and groups generate, share, reinforce, and sometimes forget knowledge. With an increased emphasis on service organizations, including healthcare, Linda Argote demonstrates that organizations vary dramatically in the rates at which they learn—with profound implications for productivity, performance, and managerial and strategic decision making.
Publisher: Springer Science & Business Media
ISBN: 1461452511
Category : Business & Economics
Languages : en
Pages : 226
Book Description
Why do some organizations learn at faster rates than others? Why do organizations "forget"? Could productivity gains acquired in one part of an organization be transferred to another? These are among the questions addressed in Organizational Learning: Creating, Retaining and Transferring Knowledge. Since its original publication in 1999, this book has set the standard for research and analysis in the field. This fully updated and expanded edition showcases the most current research and insights, featuring a new chapter that provides a theoretical framework for analyzing organizational learning and presents evidence about how the organizational context affects learning processes and outcomes. Drawing from a wide array of studies across the spectrum of management, economics, sociology, and psychology, Organizational Learning explores the dynamics of learning curves in organizations, with particular emphasis on how individuals and groups generate, share, reinforce, and sometimes forget knowledge. With an increased emphasis on service organizations, including healthcare, Linda Argote demonstrates that organizations vary dramatically in the rates at which they learn—with profound implications for productivity, performance, and managerial and strategic decision making.
Demystifying Dissertation Writing
Author: Peg Boyle Single
Publisher: Taylor & Francis
ISBN: 1000979873
Category : Education
Languages : en
Pages : 193
Book Description
Research shows that five strategies correlate with the successful completion of a dissertation:·Establishing a consistent writing routine·Working with a support group·Consulting your advisor·Understanding your committee’s expectations·Setting a realistic and timely scheduleBuilding on these insights, this book is for anyone who needs help in preparing for, organizing, planning, scheduling, and writing the longest sustained writing project they have encountered, particularly if he or she is not receiving sufficient guidance about the process, but also for anyone looking to boost his or her writing productivity.The author uncovers much tacit knowledge, provides advice on working with dissertation advisors and committee members, presents proven techniques for the prewriting and writing stages of the dissertation, sets out a system for keeping on schedule, and advocates enlisting peer support. As Peg Boyle Single states, “my goal is quite simple and straightforward: for you to experience greater efficiency and enjoyment while writing. If you experience anxiety, blocking, impatience, perfectionism or procrastination when you write, then this system is for you. I want you to be able to complete your writing so that you can move on with the rest of your life.” Few scholars, let alone graduate students, have been taught habits of writing fluency and productivity. The writing skills imparted by this book will not only help the reader through the dissertation writing process, but will serve her or him in whatever career she or he embarks on, given the paramount importance of written communication, especially in the academy. This book presents a system of straightforward and proven techniques that are used by productive writers, and applies them to the dissertation process. In particular, it promotes the concept of writing networks – whether writing partners or groups – to ensure that writing does not become an isolated and tortured process, while not hiding the need for persistence and sustained effort.This book is intended for graduate students and their advisers in the social sciences, the humanities, and professional fields. It can further serve as a textbook for either informal writing groups led by students or for formal writing seminars offered by departments or graduate colleges. The techniques described will help new faculty advice their students more effectively and even achieve greater fluency in their own writing.
Publisher: Taylor & Francis
ISBN: 1000979873
Category : Education
Languages : en
Pages : 193
Book Description
Research shows that five strategies correlate with the successful completion of a dissertation:·Establishing a consistent writing routine·Working with a support group·Consulting your advisor·Understanding your committee’s expectations·Setting a realistic and timely scheduleBuilding on these insights, this book is for anyone who needs help in preparing for, organizing, planning, scheduling, and writing the longest sustained writing project they have encountered, particularly if he or she is not receiving sufficient guidance about the process, but also for anyone looking to boost his or her writing productivity.The author uncovers much tacit knowledge, provides advice on working with dissertation advisors and committee members, presents proven techniques for the prewriting and writing stages of the dissertation, sets out a system for keeping on schedule, and advocates enlisting peer support. As Peg Boyle Single states, “my goal is quite simple and straightforward: for you to experience greater efficiency and enjoyment while writing. If you experience anxiety, blocking, impatience, perfectionism or procrastination when you write, then this system is for you. I want you to be able to complete your writing so that you can move on with the rest of your life.” Few scholars, let alone graduate students, have been taught habits of writing fluency and productivity. The writing skills imparted by this book will not only help the reader through the dissertation writing process, but will serve her or him in whatever career she or he embarks on, given the paramount importance of written communication, especially in the academy. This book presents a system of straightforward and proven techniques that are used by productive writers, and applies them to the dissertation process. In particular, it promotes the concept of writing networks – whether writing partners or groups – to ensure that writing does not become an isolated and tortured process, while not hiding the need for persistence and sustained effort.This book is intended for graduate students and their advisers in the social sciences, the humanities, and professional fields. It can further serve as a textbook for either informal writing groups led by students or for formal writing seminars offered by departments or graduate colleges. The techniques described will help new faculty advice their students more effectively and even achieve greater fluency in their own writing.
Demystifying Talent Management
Author: Kimberly Janson
Publisher: Maven House Press
ISBN: 1938548310
Category : Business & Economics
Languages : en
Pages : 189
Book Description
Demystifying Talent Management offers practical advice for all managers, HR professionals, senior leaders, and other employees on how to work together to build a talented and motivated workforce. The book addresses performance, development, coaching, feedback, compensation, and other elements of people management. Using simple, straightforward language, Kim Janson tells you how you can avoid confusion and conflicts when engaging in talent management. You'll learn: What performance is needed and expected: how to translate your company's strategy into individual performance; What it means to measure and track progress, simply and clearly; What you can and should do to help an individual's development; How to narrow your focus to improve a skill, knowledge, or experience; How to take both an individual's profile and the direction of the organization into account in career development and succession planning; How to make compensation (cash, public accolades, feedback, etc.) a true driver of results; How coaching and feedback are essential in bringing all the elements of talent management together. This book will guide you to a deeper understanding of the mechanics of talent management and development success so that all the stakeholders can come together in a win-win-win-win scenario.
Publisher: Maven House Press
ISBN: 1938548310
Category : Business & Economics
Languages : en
Pages : 189
Book Description
Demystifying Talent Management offers practical advice for all managers, HR professionals, senior leaders, and other employees on how to work together to build a talented and motivated workforce. The book addresses performance, development, coaching, feedback, compensation, and other elements of people management. Using simple, straightforward language, Kim Janson tells you how you can avoid confusion and conflicts when engaging in talent management. You'll learn: What performance is needed and expected: how to translate your company's strategy into individual performance; What it means to measure and track progress, simply and clearly; What you can and should do to help an individual's development; How to narrow your focus to improve a skill, knowledge, or experience; How to take both an individual's profile and the direction of the organization into account in career development and succession planning; How to make compensation (cash, public accolades, feedback, etc.) a true driver of results; How coaching and feedback are essential in bringing all the elements of talent management together. This book will guide you to a deeper understanding of the mechanics of talent management and development success so that all the stakeholders can come together in a win-win-win-win scenario.