Australia’s Indigenous (Blak) business sector has grown substantially. Despite this, the Australian public knows little about Indigenous businesses, and what is known is largely drawn from the grey literature, such as news media and magazine articles. This research explored how Indigenous businesses are represented in the grey literature, as such representations are critical to attracting investors and customers. Led by Aboriginal researchers using an Indigenist theoretical lens, a systematic content analysis interrogated 544 articles published over 16 years from 2006 to 2022. Manual thematic analysis revealed several troubling trends, including persistent deficit perspectives of Aboriginal and Torres Strait Islander businesses, that Indigenous authors and voices were largely absent, and the meagre frequency of articles in many Australian news media outlets. These novel findings shed light on prevailing biases in the grey literature that hinder Indigenous business success, thwarting social justice and progress towards the national Closing the Gap (2020) agenda.
Abstract
Blak Business in the Grey Literature
ANZMAC 2023, Conference Proceedings, pp.525-525
Australian and New Zealand Marketing Academy Conference (ANZMAC), 2023 (Dunedin, New Zealand, 04-Dec-2023 - 06-Dec-2023)
2023
Abstract
Details
- Title
- Blak Business in the Grey Literature
- Authors
- Maria Raciti (Author) - University of the Sunshine Coast, Queensland, School of Business and Creative IndustriesMarnee Shay (Author) - University of QueenslandBronwyn Fredericks (Author) - University of QueenslandDa Eul Jeong (Author) - University of Queensland
- Publication details
- ANZMAC 2023, Conference Proceedings, pp.525-525
- Conference details
- Australian and New Zealand Marketing Academy Conference (ANZMAC), 2023 (Dunedin, New Zealand, 04-Dec-2023 - 06-Dec-2023)
- Publisher
- University of Otago
- Organisation Unit
- School of Education - Legacy; School of Business and Creative Industries; Indigenous and Transcultural Research Centre; Sustainability Research Centre
- Language
- English
- Record Identifier
- 99734097802621
- Output Type
- Abstract
Metrics
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