4th edition. — Routledge, 2020. — 521 p. — ISBN: 978-0-367-19617-2 (hbk), ISBN: 978-0-367-19618-9 (pbk), ISBN: 978-0-429-20337-4 (ebk).
In an era of big data and data analytics, how can managers make decisions based on almost unlimited information, not to mention hiring and retaining individuals with the required data analytics skills? The new fourth edition of Essentials of Business Research Methods explains research methods and analytical techniques for individuals who aren't data scientists.
The authors offer a straightforward, hands-on approach to the vital managerial process of gathering and using data to make relevant and timely business decisions. They include critical topics, such as the increasing role of online research, ethical issues, privacy matters, data analytics, customer relationship management, how to conduct information-gathering activities more effectively in a rapidly changing business environment, and more. This is also the only text that includes a chapter on qualitative data analysis, and the coverage of quantitative data analysis is more extensive as well as much easier to understand than in other texts.
A realistic continuing case used throughout the book, applied research examples, and ethical dilemma mini-cases enable upper-level undergraduate and postgraduate students to see how business research information is used in the real world.
This comprehensive textbook is supported by a range of online resources, including instructors’ manuals, PowerPoint slides, and test banks.
Business Research for the Twenty-First Century.
Overview of the Research Process.
Ethics in Business Research.
Beginning The Research ProcessDefining the Research Problem and Reviewing the Literature.
The Nature and Sources of Secondary Business Data.
Conceptualization and Research Design.
Sampling And Data CollectionSampling Approaches and Considerations.
Methods of Collecting Primary Data.
Measurement and Scaling.
Questionnaire Design.
Analysis And Interpretation Of DataBasic Data Analysis for Qualitative Research.
Basic Data Analysis for Quantitative Research.
Testing Hypotheses in Quantitative Research.
Examining Relationships Using Correlation and Regression.
Other Multivariate Techniques.
Communicating The ResultsReporting and Presenting Research.