Language : English
Published : 2017-12-26
Pages : 544
Strategic Planning for Public and Nonprofit Organizations
The essential planning resource and framework for nonprofit leaders Strategic Planning for Public and Nonprofit Organizations is the comprehensive, practical guide to building and sustaining a more effective organization. Solid strategy is now more important than ever, and this book provides a clear framework for designing and implementing an effective and efficient planning process. From identifying stakeholders and clarifying a shared vision, to implementing plans and revising strategies, the discussion covers all aspects of the process to help you keep your organization united and on track into the future. The field’s leading authority shares insight, advice, helpful tools, and specific techniques, alongside a widely used and well-regarded approach to real-world planning. This new fifth edition includes new case studies and examples along with up-to-date resources and references, and new multimedia-related content. Innovation and creativity produce great ideas, but these ideas must be collected and organized into an actionable plan supported by a coalition of support to make your organization great. This book provides expert guidance and perspective to help you bring everything together into a workable organizational strategy. Discover an effective approach to the strategic planning process Identify issues, establish a vision, clarify mandates, and implement plans Manage the process with continual learning and revising Link unique assets and abilities to better accomplish the central mission Public and nonprofit leaders are forever striving to do more with less, and great strategic planning can help you build efficiency and effectiveness into your organization’s everyday operations. Strategic Planning for Public and Nonprofit Organizations provides the framework and tools you need to start planning for tomorrow today.
This 13th edition of Lesikar’s Business CommunicationDigital World, by Kathryn Rentz, and Paula Lentz brings the contemporary perspective of two expert teachers to Ray Lesikar’s classic textbook. Taking a unique problem-solving approach, it integrates current technologies and trends throughout, while maintaining an emphasis on the fundamentals: careful analysis of the communication problem, development of an audience-focused solution, and clear, correct use of language and visuals. Combined with abundant realistic examples, exercises, and cases, this approach makes Lesikar one of the most pedagogically effective books in the field.
Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics 7th Edition$74.80
Updated for use with Microsoft Office Excel 2013, Spreadsheet Modeling and Decision Analysis, 7th Edition, provides you with succinct instruction in the most commonly used management science techniques and shows you how these tools can be implemented using the most current version of Excel for Windows. This text also focuses on helping you develop algebraic and spreadsheet modeling skills.
Analytic Solver Platform replaces Risk Solver Platform in this edition. Analytic Solver Platform includes all of the capabilities of risk Solver for risk analysis and Monte Carlo simulation, all of the capabilities of Premium Solver Platform for optimization, and new capabilities for finding robust optimal decisions using simulation, optimization, stochastic programming, and robust optimization methods.
The new edition of Essentials of Business Statistics delivers clear and understandable explanations of core business statistics concepts, making it ideal for a one-term course in business statistics. The author team emphasize the importance of interpreting statistical results to make effective decisions to improve business processes. The text offers real applications of statistics that are relevant to today’s business students which can be seen in the continuing case studies throughout the book. Continuing cases span throughout a chapter or even groups of chapters, easing students into new topic areas.
About the Author
Bruce L. Bowerman is a professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. degree in statistics from Iowa State University in 1974, and he has over 37 years of experience teaching basic statistics, regression analysis, time series forecasting, survey sampling, and design of experiments to both undergraduate and graduate students. In 1987 Professor Bowerman received an Outstanding Teaching award from the Miami University senior class, and in 1992 he received and Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O’Connell, Professor Bowerman has written 11 textbooks. These include Forecasting and Time Series: An Applied Approach and Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); The first edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine.
Richard T. O’Connell is an associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 32 years of experience teaching basic statistics, statistical quality control and process improvement, regression analysis, time series forecasting, and design of experiments to both undergraduate and graduate business students. In 2000 Professor O’Connell received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Bruce L. Bowerman, he has written seven textbooks. These include Forecasting and Time Series: An Applied Approach and Linear Statistical Models: An Applied Approach. He is one of the first college instructors in the United States to integrate statistical process control and process improvement methodology into his basic business statistics course. He (with Professor Bowerman) has written several articles advocating this approach.
James Burdeane “Deane” Orris J.B. Orris is a professor of management science at Butler University in Indianapolis, Indiana. He received his Ph.D. from the University of Illinois in 1971, and in the late 1970s with the advent of personal computers, he combined his interest in statistics and computers to write one of the first personal computer statistics packages—MICROSTAT. Over the past 20 years, MICROSTAT has evolved into MegaStat, which is an Excel add-in statistics program. In 1999 he wrote an Excel book (Essentials: Excel 2000 Advanced) and has done work in neural networks, spreadsheet simulation, and statistical analysis for many research projects. He has taught statistics and computer courses in the College of Business Administration of Butler University since 1971. He is a member of the American Statistical Association and is past president of the Central Indiana Chapter. In his spare time, Professor Orris enjoys reading, working out, and working in his woodworking shop.