Good Data in Business and Professional Discourse Research and Teaching 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9783030617561,3030617564,9783030617578, 3030617572
Product details:
- ISBN-10 : 3030617564
- ISBN-13 : 978-3030617561
- Author:
This edited book engages with the richly interdisciplinary field of business and professional communication, aiming to reconcile the prescriptive ambitions of the US-centred business communication tradition with the more descriptive approach favoured in discourse studies and applied linguistics. A follow-up to the award-winning book The Ins and Outs of Business and Professional Discourse Research (Palgrave Macmillan, 2016), this volume brings together scholars and their recent work from wide-ranging business and professional settings to engage with the question of what counts as good data. The authors focus on four key themes – authenticity, triangulation, background and relevance – to shine a light on business and professional discourse as essential contextual and intertextual. This book will be of interest to scholars working in applied linguistics, sociolinguistics, and business communication, but also other social scientists interested in a range of perspectives on oral, written and digital language use in workplace settings.
Table of contents:
- Cover
- Front Matter
- 1. What Counts as Good Data in Business and Professional Discourse Research and Training?
- 2. Workplace Research and Applications in Real World Contexts: The Case of the Wellington Language in the Workplace Project
- 3. What Is Professional in a Professional Magazine? Using Corpus Analysis to Identify Specializedness in Professional Discourse and Culture
- 4. Researching Trust in Business Partnerships: Reflections on Data Collection and Positionality
- 5. Measuring Competence for Global Business: In Search of Authentic Data in Japanese Business Corporations
- 6. Leveraging Student-Led Interviews in the Multilingual Workplace
- 7. Coworking: A Rhetorical Enterprise Situated in Place
- Back Matter