Business Research for Decision Making PDF Download

Author: Duane Davis
Publisher: Brooks/Cole
ISBN: 9780534371067
Category : Business & Economics
Languages : en
Pages : 644

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Book Description
This Fifth Edition reflects the ever-increasing changes in the tools and technology available today. Duane Davis teaches students and managers how to develop ways to efficiently and effectively plan, collect, organize, and assimilate information to make informed business decisions. This book covers the fundamentals of conducting research as well as the recent advancements in the field of business research such as the use of the Internet, qualitative research, and modern analytical tools (SPSS and Excel). The new edition is available packaged with the SPSS Student Version Software.

Author: Dinçer, Hasan
Publisher: IGI Global
ISBN: 1799825604
Category : Business & Economics
Languages : en
Pages : 646

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Book Description
Consumer needs and demands are constantly changing. Because of this, marketing science and finance have their own concepts and theoretical backgrounds for evaluating consumer-related challenges. However, examining the function of finance with a marketing discipline can help to better understand internal management processes and compete in today’s market. The Handbook of Research on Decision-Making Techniques in Financial Marketing is a collection of innovative research that integrates financial and marketing functions to make better sense of the workplace environment and business-related challenges. Different financial challenges are taken into consideration while many of them are based on marketing theories such as agency theory, product life cycle, and optimal consumer experience. While highlighting topics including behavioral financing, corporate ethics, and Islamic banking, this book is ideally designed for financiers, marketers, financial analysts, marketing strategists, researchers, policymakers, government officials, academicians, students, and industry professionals.

Author: Davis
Publisher:
ISBN: 9780534932503
Category :
Languages : en
Pages :

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Book Description

Author: Luiz Paulo Fávero
Publisher: Academic Press
ISBN: 0128112174
Category : Business & Economics
Languages : en
Pages : 1240

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Book Description
Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

Author: Duane L. Davis
Publisher: Brooks/Cole Publishing Company
ISBN: 9780534373627
Category : Business & Economics
Languages : en
Pages : 596

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Book Description

Author: Alan J. Baker
Publisher: Routledge
ISBN: 1351346865
Category : Business & Economics
Languages : en
Pages : 269

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Book Description
Originally published in 1981. Risk is a problem which all business decision makers have to cope with. The problem is not insurmountable, however, as there now exist well-established techniques for minimising risk and for calculating which of various available options is the optimal one to pursue. This book outlines and discusses these techniques and the theories behind them. Unlike many economic theories which only rarely have any practical applications, the techniques put forward in this book can be used by real businessmen to solve real business problems. The book concentrates on decision-making in two main areas: the allocation of a firm’s resources and the selection of new investments; and the techniques and theories discussed fall into three broad groups: linear programming, decision theory and capital market theory. Intended as an advanced undergraduate textbook for students taking business economics or managerial economics courses, this valuable book will interest specialists and students involved in management studies, microeconomics, strategic planning, operational research, accounting and MBA programmes.

Author: Eric J. Bolland
Publisher: Edward Elgar Publishing
ISBN: 1786430169
Category : Business enterprises
Languages : en
Pages : 224

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Book Description
This breakthrough study examines how business decisions explain successful and unsuccessful performance. Real world and academic research is evaluated, including interviews and cases studies, to create a model of how decisions and performance are connected for businesses of all sizes. Recommendations are made to optimize decision making and projections about the future of decision making and performance are provided.

Author: Duane L. Davis
Publisher: South Western Educational Publishing
ISBN: 9780534363369
Category : Business & Economics
Languages : en
Pages : 596

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Book Description
This text covers the entire process of business and marketing research. It contains up-to-date references to on-line and electronic sources. The author emphasizes modern software use and decision-making.

Author: Rajagopal
Publisher: IGI Global
ISBN: 1466640952
Category : Business & Economics
Languages : en
Pages : 274

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Book Description
"This book provides the latest research studies, market analysis, and best practices utilized in emerging markets to gain competitive advantage and market leadership"--Provided by publisher.

Author: Steven Orla Kimbrough
Publisher: CRC Press
ISBN: 1315362597
Category : Business & Economics
Languages : en
Pages : 308

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Book Description
Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making. Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models. The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods. The authors supply examples in Excel®, GAMS, MATLAB®, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.