Bridge Employment: A Research Handbook
With the long-term trend toward earlier retirement slowing, and the majority of older workers remaining in employment up to and beyond statutory retirement age, it is increasingly important that we understand how to react to these changes. Bridge employment patterns and activities have changed greatly over the past decade, yet there is little information about the benefits of the various different forms this can take, both for employees and employers. This comparative international collection provides the first comprehensive summary of the literature on bridge employment, bringing together experiences from Europe, the United States, Canada, Australia and Japan. It identifies the opportunities, barriers and gaps in knowledge and practice, whilst offering recommendations on how organisations and individuals can cope with future challenges in aging and work. Written by international experts in the field, each chapter also makes substantive and contextualized suggestions for public policy and organizational decision-makers, providing them with a roadmap to implement and integrate bridge employment into policies and practices designed to prolong working life – a priority for workers, organizations and societies in the coming decades. This unique research handbook will be useful to a wide range of readers with an interest in the new concept of bridge employment and the extension of working life, and of interest to researchers and practitioners in organizational behavior, labor market analysis, human resource management, career development/counselling, occupational health, social economy and public policy administration
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This book provides basic knowledge of statistical techniques and its application to business. Most of the chapters are classified into two parts, the text and the syntaxes of SPSS and excel. It provides a conceptual understanding of basic statistical techniques with concepts illustrated by a small hypothetical or actual data set and graphs.
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.
Quantitative Methods for Business Research: Using Microsoft® Excel® with CourseMate and eBook Access Card)1st Edition
About the Author
Gerard Duignan (BBc, DipTchg) has a background in radio programming and management. He combines his role as lecturer in radio at the New Zealand Broadcasting School with his research interest in documenting the history of New Zealand radio broadcasters.