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Sara Dolnicar

Researcher at University of Queensland

Publications -  396
Citations -  16406

Sara Dolnicar is an academic researcher from University of Queensland. The author has contributed to research in topics: Tourism & Market segmentation. The author has an hindex of 68, co-authored 366 publications receiving 13559 citations. Previous affiliations of Sara Dolnicar include University of Vienna & Vienna University of Economics and Business.

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Assessing analytical robustness in cross‐cultural comparisons

TL;DR: A framework that enables the researcher to assess the robustness of empirical findings from culture‐specific response styles (CSRS) is proposed, and can be used to inform researchers and data analysts about the extent to which the validity of their conclusions is threatened by data contamination.
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Improving carbon offsetting appeals in online airplane ticket purchasing: testing new messages, and using new test methods

TL;DR: In this paper, the authors developed new communication messages which counteract barriers to carbon offsetting identified in prior studies, and tested their effectiveness using psychophysiological and attitudinal measures, a technique new to sustainable tourism research methodologies.
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The international volunteering market: market segments and competitive relations

TL;DR: In this article, the authors focus on individuals who volunteer for multiple types of organizations in an effort to determine which organisations are competing for the same volunteers, and four segments of volunteers are identified: altruists, leisure volunteers, political volunteers and church volunteers.
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The low stability of brand-attribute associations is partly due to market research methodology

TL;DR: Rungie et al. as discussed by the authors demonstrate that the low stability of consumers' brand-attribute associations can be partially explained by the prevailing methods used in market research, which can often lead consumers to construct temporary associations.
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Instructional Manipulation Checks: A longitudinal analysis with implications for MTurk

TL;DR: This article found that between 9% and 12% of respondents can be labelled Inattentive Stayers at the first survey-wave and between 13% and 17% at the third wave.