"The global pandemic threw hundreds of millions of people out of work, sparking career crises worldwide. The revised edition of the 100,000 selling Business Model You now adds powerful new material for the 40 million U.S. workers in healthcare, education, government, the military, and nonprofit/social enterprises who do not consider their professions as "businesses" and who are typically averse to business jargon. It uses the same logic as the Personal Business Model but with modified language, including the Service Model Canvas. Business Model You 2e will address dramatic workscape changes with new tools including the Three Career Questions, Your Professional Identity, "Your Key Roles & Relationships" How to Decide Whether to Work for Yourself, and Digital Tools for Everyone. Cases will be drawn from mainstream sectors such as healthcare, education, and government, avoiding "glamour" and outlier occupations covered in the first edition"-- GLOBAL HITFinally, a book that shows you how to replace career uncertainty with career confidence, step-by-step Before they make important decisions, entrepreneurs, scientists, and other professionals maximize results and minimize risk by testing future scenarios using models. Now you, too, can use models to test career decisions: with the single-page visual method that's already helping hundreds of thousands of professionals worldwide. Careers were complicated enough before explosive changes swept the world, igniting even greater complexity and triggering uncertaintyalong with hidden opportunities. All of this compels professionals to reinvent how they work. But how? The key is to draw a visual "picture" of your worka modelthat quickly gives you an entirely new understanding of what your work means to employers, customers, colleaguesand you. This model instantly triggers new insights and identifies next career moves you can make with confidence. Readers of the first edition of Business Model You will find this all-new, full-color book deepens their understanding of the method with new tools and techniques including the Work Model Canvas, Outward Focus, Third Objects, The Three Questions, the "Passion" Myth, the Valuable Work Detector, and Reasons to Choose You. Examples covering 50 occupations in both commercial and not-for-profit sectors are features, all alphabetically indexed at the front of the book. A global hit available in 20 languages, Business Model You pioneered the model-based approach to work reinvention that's been adopted for use by thousands of corporations, universities, and not-for-proit organizations worldwide. Want to replace career uncertainty with career confidence? Reinvent the most important model of all: Business Model You. Autorid: Timothy Clark, Alexander Osterwalder, Yves Pigneur, Bruce Hazen, Alan Smith
The third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM in straightforward language to explain the details of this method, with limited emphasis on equations and symbols. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, detailed descriptions of research summarizing the advantages as well as limitations of PLS-SEM, and extended coverage of advanced concepts and methods, such as out-of-sample versus in-sample prediction metrics, higher-order constructs, multigroup analysis, necessary condition analysis, and endogeneity. Autorid: Joe Hair, G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt
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