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Author: Edwin A. Locke Publisher: Routledge ISBN: 1136180958 Category : Business & Economics Languages : en Pages : 690
Book Description
This book concentrates on the last twenty years of research in the area of goal setting and performance at work. The editors and contributors believe goals affect action, and this volume has a lineup of international contributors who look at the recent theories and implications in this area for IO psychologists and human resource management academics and graduate students.
Author: Edwin A. Locke Publisher: Routledge ISBN: 1136180958 Category : Business & Economics Languages : en Pages : 690
Book Description
This book concentrates on the last twenty years of research in the area of goal setting and performance at work. The editors and contributors believe goals affect action, and this volume has a lineup of international contributors who look at the recent theories and implications in this area for IO psychologists and human resource management academics and graduate students.
Author: Edwin A. Locke Publisher: Routledge ISBN: 0415885485 Category : Business & Economics Languages : en Pages : 690
Book Description
This book concentrates on the last twenty years of research in the area of goal setting and performance at work. The editors and contributors believe goals affect action, and this volume will have a lineup of international contributors who look at the recent theories and implications in this area for IO psychologists and human resource management academics and graduate students.
Author: Edwin Locke Publisher: John Wiley & Sons ISBN: 0470685336 Category : Business & Economics Languages : en Pages : 694
Book Description
There is a strong movement today in management to encourage management practices based on research evidence. In the first volume of this handbook, I asked experts in 39 areas of management to identify a central principle that summarized and integrated the core findings from their specialty area and then to explain this principle and give real business examples of the principle in action. I asked them to write in non-technical terms, e.g., without a lot of statistics, and almost all did so. The previous handbook proved to be quite popular, so I was asked to edit a second edition. This new edition has been expanded to 33 topics, and there are some new authors for the previously included topics. The new edition also includes: updated case examples, updated references and practical exercises at the end of each chapter. It also includes a preface on evidence-based management. The principles for the first edition were intended to be relatively timeless, so it is no surprise that most of the principles are the same (though some chapter titles include more than one principle). This book could serve as a textbook in advanced undergraduate and in MBA courses. It could also be of use to practicing managers and not just those in Human Resource departments. Every practicing manager may not want to read the whole book, but I am willing to guarantee that every one will find at least one or more chapters that will be practically useful. In this time of economic crisis, the need for effective management practices is more acute than ever.
Author: Martin S. Hagger Publisher: Cambridge University Press ISBN: 1108750117 Category : Psychology Languages : en Pages : 730
Book Description
Social problems in many domains, including health, education, social relationships, and the workplace, have their origins in human behavior. The documented links between behavior and social problems have compelled governments and organizations to prioritize and mobilize efforts to develop effective, evidence-based means to promote adaptive behavior change. In recognition of this impetus, The Handbook of Behavior Change provides comprehensive coverage of contemporary theory, research, and practice on behavior change. It summarizes current evidence-based approaches to behavior change in chapters authored by leading theorists, researchers, and practitioners from multiple disciplines, including psychology, sociology, behavioral science, economics, philosophy, and implementation science. It is the go-to resource for researchers, students, practitioners, and policy makers looking for current knowledge on behavior change and guidance on how to develop effective interventions to change behavior.
Author: Stephen G. Harkins Publisher: Springer Science & Business Media ISBN: 9780792375265 Category : Business & Economics Languages : en Pages : 298
Book Description
In the field of psychology, research areas often develop in relative isolation. Researchers in different areas are either not aware of, or seem to fail to see the relevance of findings from other areas even though it would seem that the findings are directly relevant to their own. One striking example of this is to be found in research that focuses on the effects of evaluation on performance. This volume integrates thinking from five different research traditions - Achievement Goals, Intrinsic vs. Extrinsic Motivation, Goal Setting, Social Loafing, and Social Facilitation - through the unique format of a give-and-take conversation between leading academics from each.
Author: Michael D. Mumford Publisher: Routledge ISBN: 1136255486 Category : Business & Economics Languages : en Pages : 613
Book Description
This book examines planning as the critical influence on performance at work and in organizations. Bridging theory and practice, it unites cutting-edge research findings from cognitive science, social psychology, industrial and organizational psychology, strategic management, and entrepreneurship, and describes the practical applications of these research findings for practitioners interested in improving planning performance in organizations.
Author: Chan Su Jung Publisher: Edward Elgar Publishing ISBN: 178897185X Category : Political Science Languages : en Pages : 288
Book Description
Chan Su Jung provides a thorough review of goal ambiguity in the public sector, exploring the general assertions, arguments and empirical evidence regarding performance goal ambiguity, particularly highlighting its causes, consequences, and mediation effects. The author proposes a new conceptual framework for successful analysis of goal ambiguity that can effectively relate to diverse organizational and program characteristics.
Author: Sebastian Raschka Publisher: Packt Publishing Ltd ISBN: 1801816387 Category : Computers Languages : en Pages : 775
Book Description
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch's simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key FeaturesLearn applied machine learning with a solid foundation in theoryClear, intuitive explanations take you deep into the theory and practice of Python machine learningFully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practicesBook Description Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. What you will learnExplore frameworks, models, and techniques for machines to 'learn' from dataUse scikit-learn for machine learning and PyTorch for deep learningTrain machine learning classifiers on images, text, and moreBuild and train neural networks, transformers, and boosting algorithmsDiscover best practices for evaluating and tuning modelsPredict continuous target outcomes using regression analysisDig deeper into textual and social media data using sentiment analysisWho this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you'll need a good understanding of calculus, as well as linear algebra.
Author: Edwin A. Locke
Author: Edwin A. Locke
Author: Edwin A. Locke
Author: Edwin A. Locke
Author: Edwin A. Locke
Author: Edwin Locke
Author: Martin S. Hagger
Author: Stephen G. Harkins
Author: Michael D. Mumford
Author: Chan Su Jung
Author: Sebastian Raschka