Handbook of qualitative research methods on human resource management : innovative techniques
Author(s)
Bibliographic Information
Handbook of qualitative research methods on human resource management : innovative techniques
(Handbooks of research methods in management)
Edward Elgar, c2016
- : cased
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
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  Nagano
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  Kyoto
  Osaka
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  Shimane
  Okayama
  Hiroshima
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  Tokushima
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  Nagasaki
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  Okinawa
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Human resource management as a field of research is a broad church, with a wide variety of research methods in use. This Handbook focuses on qualitative research methods and explores the opportunities and challenges of new technologies for innovating data collection and data analysis.
The editors have brought together 18 chapters, written by some of the world's leading researchers in their field. They begin with the importance of good project design and then move on to reflect on innovations and developments in data sources, such as netnographical methods, legal research methods, the use of news media, and historical research. They go on to outline innovations in data collection methods with particular pertinence to key HRM topics. Finally, the contributors explore innovative data analysis, looking at the importance of computer-supported qualitative research, causal cognitive mapping and deriving behavioural role descriptions from the perspectives of job-holders.
This Handbook is an invaluable tool for students, researchers and academics in the field of human resource management.
Contributors: P. Ackers, S. Branch, R. Cameron, C. Cassell, G. Clarkson, J. Cogin, J. Ewart, M.T. Hardin, M. Humphreys, R. Johnstone, M. Learmonth, D. Lewin, R. Loudoun, F. Malik, A. McDowall, J.L. Ng, W. Nienhueser, L.S. Radcliffe, S. Ramsay, J. Richards, C. Rojon, S. Sambrook, M.N.K. Saunders, K. Townsend, K.L. Unsworth, R. Winter
Table of Contents
Contents:
1. Qualitative Research in HRM: Innovation Over Stagnation
Keith Townsend, Rebecca Loudoun and David Lewin
SECTION I DESIGNING QUALITATIVE PROJECTS
2. The Role of Qualitative Methods in Mixed Methods Designs
Roslyn Cameron
3. Anchoring Qualitative Methods for Longitudinal Studies
Rebecca Loudoun and Keith Townsend
4. Autoethnography: A Novel Way to Study HRM
Sally Sambrook
SECTION II INNOVATIONS IN DATA SOURCES
5. Using Legal Research Methods in Human Resource Management Research
Richard Johnstone
6. The Use of News Media as a Data Source in HRM Research: Exploring Society's Perceptions
Sheryl Ramsay, Sara Branch and Jacqueline Ewart
7. Netnographical Methods and the Challenge of Researching Hidden and Secretive Employee Social Media Practices
James Richards
8. Doing Historical Research in Human Resource Management: With Some Reflections on an Academic Career
Peter Ackers
9. Thinking About Philosophical Methods in Human Resources
Kerrie L. Unsworth and Matthew T. Hardin
SECTION III INNOVATIONS IN DATA COLLECTION METHODS
10. An Experiment With 'The Miracle Question': An Innovative Data Collection Technique in HR Research
Keith Townsend
11. Using Photo-Elicitation to Understand Experiences of Work-Life Balance
Catherine Cassell, Fatima Malik and Laura Radcliffe
12. Using Qualitative Repertory Grid Interviews to Gather Shared Perspectives in a Sequential Mixed Methods Research Design
Celine Rojon, Mark N.K. Saunders and Almuth Mcdowall
13. Free Verbal Associations - Measuring What People Think About Employee Participation
Werner Nienhueser
14. Using Qualitative Diaries to Uncover the Complexities of Daily Experiences
Laura S. Radcliffe
15. Autoethnographic Vignettes in HRM
Mark Learmonth and Michael Humphreys
SECTION IV INNOVATIVE DATA ANALYSIS
16. Computer Supported Qualitative Research
Julie Cogin and Ju Li Ng
17. Cross-Cultural HRM Research: The Potential of Causal Cognitive Mapping
Gail Clarkson
18. Deriving Behavioural Role Descriptions from the Perspectives of Job- Holders: An Illustrative Example
Richard Winter
Index
by "Nielsen BookData"