Management and business research / Mark Easterby-Smith, Lena J. Jaspersen, Richard Thorpe, Danat Valizade.
Material type: TextPublication details: London : Sage, c2021.Edition: Seventh editionDescription: xxi, 470 pages ; 26 cmISBN:- 9781529734522
- 9781529734515
- 650.072 EAS
- HD30.4 .E27 2021
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
General Books | CUTN Central Library Medicine, Technology & Management | Non-fiction | 650.072 EAS (Browse shelf(Opens below)) | Available | 47323 |
Browsing CUTN Central Library shelves, Shelving location: Medicine, Technology & Management, Collection: Non-fiction Close shelf browser (Hides shelf browser)
650.015 OAK Essential quantitative methods : for business, management, and finance / | 650.071 FAY International entrepreneurship education : | 650.071154 NEE Commerce education in North-East India / | 650.072 EAS Management and business research / | 650.072 SAU Research methods for business students / | 650.072 SEK Research Methods for Business : | 650.072 WIL Understanding research for business students : a complete student's guide / |
"3 new quantitative chapters"--Cover.
Includes bibliographical references (pages 448-464) and index.
Chapter 1 FINDING YOUR FEET IN MANAGEMENT AND BUSINESS RESEARCH Chapter 2 REVIEWING THE LITERATURE Chapter 3 THE PHILOSOPHY OF MANAGEMENT AND BUSINESS RESEARCH Chapter 4 DESIGNING MANAGEMENT AND BUSINESS RESEARCH Chapter 5 THE ETHICAL RESEARCHER Chapter 6 CRAFTING QUALITATIVE DATA THROUGH LANGUAGE AND TEXT Chapter 7 CRAFTING QUALITATIVE DATA THROUGH OBSERVATION AND PARTICIPATORY RESEARCH Chapter 8 FRAMING AND INTERPRETING QUALITATIVE DATA Chapter 9 CRAFTING QUANTITATIVE DATA Chapter 10 STATISTICAL ANALYSIS OF QUANTITATIVE DATA Chapter 11 APPLICATION OF MACHINE LEARNING IN QUANTITATIVE RESEARCH Chapter 12 WRITING MANAGEMENT AND BUSINESS RESEARCH
This bestselling textbook has been fully updated, and provides readers with a comprehensive overview of methods for conducting business and management research. Highly visual, and written in a clear and accessible way, the book includes helpful learning features throughout, including learning goals at the start of each chapter, a research in action feature, examples, a Research Plan Canvas template and more.
The content has been brought up-to-date with the inclusion of big data, predictive analytics and a dedicated chapter on machine learning.
Accompanying the book is a wealth of online resources to further enhance your learning experience, including:
MCQs
Video content
Templates and data sets
Glossary flashcards
Additional case studies
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