Dr MALGORZATA CHALUPNIK Malgorzata.Chalupnik@nottingham.ac.uk
Assistant Professor
Auto-Ethnography in the Workplace
Chałupnik, Małgorzata
Authors
Abstract
The chapter discusses auto-ethnographic methods of collecting and analysing professional communication. This entails the consideration of both the early stages of a research project drawing upon such methods, conceptualising a study, selecting and gaining access to a particular research site and the day-to-day practicalities of data collection once such access is secured. The chapter then turns to a detailed overview and a critical review of auto-ethnographic methods of study of professional communication. The insider perspective adopted in this book certainly afforded a new perspective on the practices of work and also means of studying them but was associated also with some challenges. The chapter offers here a closer discussion of issues of ethics, critical distance and researcher positionality that can become particularly pertinent in auto-ethnography. Finally, the chapter turns to the introduction of the specific setting and research participants whose communicative practices are studied in this book.
Citation
Chałupnik, M. (2024). Auto-Ethnography in the Workplace. In Leadership and Collaboration in Workplace Discourse: From Field to Application (79-97). Palgrave Macmillan. https://doi.org/10.1007/978-3-031-54722-5_4
Online Publication Date | Jun 1, 2024 |
---|---|
Publication Date | Jun 1, 2024 |
Deposit Date | Jun 1, 2024 |
Publisher | Palgrave Macmillan |
Pages | 79-97 |
Series Title | Communicating in Professions and Organizations |
Series ISSN | 2947-812X |
Book Title | Leadership and Collaboration in Workplace Discourse: From Field to Application |
Chapter Number | 4 |
ISBN | 9783031547218 |
DOI | https://doi.org/10.1007/978-3-031-54722-5_4 |
Public URL | https://nottingham-repository.worktribe.com/output/35445490 |
Publisher URL | https://link.springer.com/chapter/10.1007/978-3-031-54722-5_4 |
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search