Business Research for Decision Making


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.




Handbook of Research on Decision-Making Techniques in Financial Marketing


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.




Data Science for Business and Decision Making


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




Business Research Made Easy


Book Description

Are you interested in postgraduate studies but worried about the research component? Are you faced with a complex business problem and do not know how to go about solving it? With changes in the world of work come new theories, new meanings and new applications. These require scientific methodologies and research strategies to obtain data and analyse it in such a way that the outcomes are reliable and generalisable. Research is synonymous with knowledge-creating which, in turn, is linked to innovation. Both of these are critical for economic and social development, as well as business development. But not all business practitioners are good researchers. And the broad landscape of the modern business world begs for a set of plans and models that can simultaneously provide stability and a breadth of development. This book offers this. The book provides easy referencing to most research techniques in the business domain. Depending on the problem at hand, there are numerous quantitative and qualitative methods described, as well as ways and means to write down the main problem. Beginners and specialists are reminded how to read and write academically and how to become good researchers.




Decision Making and Business Performance


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.




Decision Making for Business


Book Description

Decision Making for Business gathers crucial contributions to our understanding of decision making and assembles them to form a coherent and sustained analysis of the key factors that influence the process. The selected articles are stimulating, provocative and analytical, resulting in a critical, comprehensive and innovative analysis of decision making.




Savvy Decision Making


Book Description

This book is a guide is for school practitioners who want to know more about planning and conducting focus groups as an aid to decision-making. It emphasizes practical and cost-effective ways to ensure accurate results. After defining the focus group, chapter 1 offers ways focus groups can be used in schools and reasons for using them. Chapter 2 discusses guidelines for selecting a moderator. Chapter 3 explains how to clarify the purpose of the focus group. Chapter 4 explains how to determine which participants to include in the focus groups. Chapter 5 examines strategies for scheduling the number, location, and duration of the focus groups. Chapter 6 considers choices about recording the discussion, remunerating participants, asking for participant releases, and having an advance organizer. Chapter 7 covers all aspects of recruiting participants. Chapter 8 examines the protocol for conducting the focus groups. Chapter 9 contains guidelines for moderating the group. Chapter 10 discusses the analysis of information gained and the writing of reports. Each chapter offers examples from past focus groups and reproducible checklists of activities that must be completed, as well as samples of forms, letters, and lists. Many topics are accompanied by a summary of differing opinions from the literature. (Contains 35 references.) (RKJ)




Specifics of Decision Making in Modern Business Systems


Book Description

Specifics of Decision Making in Modern Business Systems focuses on the regularities and tendencies that are peculiar for the modern Russian practice of decision making in business systems, as well as the authors’ solutions for its optimization in view of new challenges and possibilities.




Business Cases in Statistical Decision Making


Book Description

Presenting business problems in a case format, this text asks students to make good business decisions based on statistical information. The authors ask the student to evaluate realistic business situations and apply statistical reasoning to solve problems.




Business Analytics for Decision Making


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.