Conference paper
Challenging the myths of the low income earner with a Digital Mobile Program: XYZ1
World Social Marketing Conference (WSMC), 2017 (Washington DC, United States, 16-May-2017–17-May-2017)
World Social Marketing
2017
Abstract
It is often assumed that low income earners accept their diminished lifestyles and have lower aspirations to own or purchase goods and services which are seen as luxury or nonessential. It is also assumed that low income earners should not be targeted by social marketers using digital technology due to the digital divide whereby digital literacy and access reduces with income. In an age where digital approaches provide the opportunity to reach large markets in a personalized manner, the need to discover ways to use digital for low income earners is important. This study reports the findings of a quasi-field experiment of 1241 low income Households in Australia as part of a digital social marketing program to reduce electricity consumption. The findings bust the myths about reduced material possessions and digital access by low income earners and provide rigorous evidence that a digital social marketing program can be effective for generating behaviour change and impact.
Details
- Title
- Challenging the myths of the low income earner with a Digital Mobile Program: XYZ1
- Authors
- Rory Mulcahy (Author) - University of the Sunshine Coast - Faculty of Arts, Business and LawRyan McAndrew (Author) - Queensland University of TechnologyTim Swinton (Author) - CitySmartJo-Anne Little (Author) - CitySmartNeil Horrocks (Author) - CitySmart
- Conference details
- World Social Marketing Conference (WSMC), 2017 (Washington DC, United States, 16-May-2017–17-May-2017)
- Publisher
- World Social Marketing
- Date published
- 2017
- ISBN
- 9781999753405
- Copyright note
- Copyright © 2017 The Author. The author's accepted version is reproduced here with permission.
- Organisation Unit
- School of Business and Creative Industries; University of the Sunshine Coast, Queensland; USC Business School - Legacy
- Language
- English
- Record Identifier
- 99450750802621
- Output Type
- Conference paper
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