Language : English
Published : 2018-01-26
Pages : 224
How to Go Digital: Practical Wisdom to Help Drive Your Organization’s Digital Transformation
Advice on how companies can succeed in the new digital business environment. The most important skills a leader needs to succeed in a digital environment are not technical in nature but managerial — strategic vision, forward-looking perspective, change-oriented mindset. A company’s digital transformation does not involve abandoning widget-making for app developing or pursuing “disruption” at the cost of stability. Rather, it is about adopting business processes and practices that position organizations to compete effectively in the digital environment. More important than technology implementation are strategy, talent management, organizational structure, and leadership aligned for the digital world. How to Go Digital offers advice from management experts on how to steer your company into the digital future. The book will put you on the right strategic path, with articles from MIT Sloan Management Review on developing a digital strategy, reframing growth for a digital world, monetizing data, and generating sustainable value from social media. Talent acquisition and retention are addressed, with articles on HR analytics, data translators, and enabling employees to become brand ambassadors outside of the office. Operational makeovers are discussed in terms of sales, services, new technologies, and innovation. Contributors Allan Alter, Stephen J. Andriole, Bart Baesens, Gloria Barczak, Cynthia M. Beath, Alpheus Bingham, Didier Bonnet, Chris Brady, Joseph Byrum, Marina Candi, Manuel Cebrian, Marie-Cecile Cervellon, Simon Chadwick, Sophie De Winne, Mike Forde, Gerald C. Kane, Rahul Kapoor, David Kiron, Thomas Klueter, Mary C. Lacity, Rikard Lindgren, Pamela Lirio, Tucker J. Marion, Lars Mathiassen, Pete Maulik, Paul Michelman, Narendra Mulani, Pierre Nanterme, Doug Palmer, Alex “Sandy” Pentland, Anh Nguyen Phillips, Frank T. Piller, Iyad Rahwan, Deborah L. Roberts, Jeanne W. Ross, Ina M. Sebastian, Luc Sels, James E. Short, Fredrik Svahn, Steve Todd, Leslie P. Willcocks, H. James Wilson, Barbara H. Wixom
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Business Statistics in Practice, Seventh Edition provides a modern, practical and unique framework for teaching an introductory course in Business Statistics. The textbook employs realistic examples, continuing case studies and a business improvement theme to teach the material. The Seventh Edition features more concise and lucid explanations, an improved topic flow and a sensible use of the best and most compelling examples.
Business Analysis and Valuation, Third IFRS Edition provides comprehensive coverage on how to use financial statement data in a variety of business analysis and valuation contexts. The text’s key strength is that it both offers a framework for business analysis and valuation but also shows how this framework can be applied in a variety of decision-making contexts. The text is thoroughly IFRS based. For example, the chapters on accounting analysis prepare students for the task of analyzing IFRS-based financial statements; all numerical examples of accounting adjustments describe adjustments to IFRS-based financial statements; and the terminology used throughout is IFRS-consistent. Business Analysis and Valuation, Third IFRS Edition is ideal for modules in financial statement analysis taken by MBA students, Masters in Accounting students, Executive Program participants and upper level undergraduates in accounting and finance.
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.
Spread over 19 chapters, this textbook provides fundamental information about International Business, which includes concepts and theories in business and management discipline with highlights on Asian business practices.