- Title
- The evaluative conditioning of well-established liked, disliked, and neutral brands. A new, multidimensional approach to understanding consumer behaviour
- Creator
- Bosshard, Shannon Stefan
- Relation
- University of Newcastle Research Higher Degree Thesis
- Resource Type
- thesis
- Date
- 2017
- Description
- Research Doctorate - Doctor of Philosophy (PhD)
- Description
- Traditional marketing research, up until recently, has seen an over reliance on surveys and questionnaires to gain an insight into consumer preferences. Although these explicit methods were once thought to provide a comprehensive insight into the true attitudes of the consumer, recent literature suggests otherwise. The assertion that explicit measures are polluted by cognitive processes is becoming more common. As a result, the future of marketing is one that sees marketers and advertisers assess consumer attitudes via the use of tools which are unaffected by cognitions and thus, do not require a verbal or cognitive response. To test the notion that implicit measures are a more reliable and a more sensitive means to assessing attitudes and attitude changes than traditional explicit measures, the current project involved the simultaneous collection of electroencephalography (EEG) data and self-report data whilst participants were presented with familiar liked, disliked, and neutral brands. In addition, further implicit insight was provided via the implementation of the implicit association test (IAT). The collective results of the present research indicate that whilst self-report and the IAT are sensitive to baseline like and dislike, conditioning resulted in no changes in attitudes. In contrast, EEG appeared to not only be capable of distinguishing between liked, disliked, and neutral brands at baseline, but also after subsequent conditioning. Taken together, the findings of the current thesis not only suggest that neural activity may provide an insight into the affective nature of brand attitudes, but also that an implicit approach may allow for an accurate prediction of future purchase behaviour.
- Subject
- attitudes; brands; EEG; neuromarketing; information technology; conditioning; thesis by publication
- Identifier
- http://hdl.handle.net/1959.13/1337628
- Identifier
- uon:27881
- Rights
- Copyright 2017 Shannon Stefan Bosshard
- Language
- eng
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT01 | Thesis | 2 MB | Adobe Acrobat PDF | View Details Download | ||
| View Details Download | ATTACHMENT02 | Abstract | 347 KB | Adobe Acrobat PDF | View Details Download |