REVIEW ARTICLE
Navigating netnography: A guide for the accounting researcher
Ingrid Jeacle,
Corresponding Author
Ingrid Jeacle
Business School, The University of Edinburgh, Edinburgh, UK
Correspondence
Ingrid Jeacle, Business School, The University of Edinburgh, 29 Buccleugh Place, Edinburgh, EH8 9JS, UK.
Email: ingrid.jeacle@ed.ac.uk
Search for more papers by this authorIngrid Jeacle,
Corresponding Author
Ingrid Jeacle
Business School, The University of Edinburgh, Edinburgh, UK
Correspondence
Ingrid Jeacle, Business School, The University of Edinburgh, 29 Buccleugh Place, Edinburgh, EH8 9JS, UK.
Email: ingrid.jeacle@ed.ac.uk
Search for more papers by this authorAbstract
Netnography (Kozinets) is a new research method that has become increasingly popular within the social sciences. The purpose of this paper is to introduce the accounting scholar to this new methodology and suggest its role in researching issues of accountability. The paper first advocates the significance of the online world as a research site for the accounting scholar and provides a review of the extant accounting literature that has used the internet as a data source. It then summarizes the key components of netnography and reviews the recent scholarship in qualitative accounting that has used this new methodology. Opportunities for future research are subsequently discussed. In particular, the paper promotes the use of netnography for furthering an understanding of accountability, whether that be in private, public, or nonprofit organizations. Advances in technology have created new forms of engagement between corporates and stakeholders and between government and citizens. It has launched new arenas to complain and voice opinion and a plethora of new performance metrics. Netnography offers scholars the methodological tools to research such new modes of accountability in the digital age.
CONFLICT OF INTEREST
The author declares no conflict of interest.
Open Research
DATA AVAILABILITY STATEMENT
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
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