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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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One legacy of Mazanec: binary questions are a simple, stable and valid measure of evaluative beliefs

TL;DR: In this paper, the authors conducted an online experiment that asked respondents to assess evaluative beliefs relating to fast-food brands using either a forced binary (n=100) or a seven-point answer format (n =100).
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Delivering the right tourist service to the right people - a comparison of segmentation approaches

TL;DR: In this article, the authors take the perspective of a destination manager and compare two segmentation approaches, one typically used in destination management (a priorigeographical segmentation) and another one common in academic literature (a posterioribehavioural segmentation).
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The characteristics of potential environmental volunteers: implications for marketing communications

TL;DR: In this paper, a survey of 1318 Australians found that potential environmental volunteers differ from non-environmental volunteers in terms of having stronger proenvironmental attitudes; different motivations for volunteering; and differing personal values.
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Attracting volunteers in highly multicultural societies: a marketing challenge

TL;DR: Using the theory of planned behavior, this article investigated differences between Australian residents from different cultural backgrounds in their volunteering behavior and found that groups differed in attitude, social norm, and perceived behavioral control, suggesting the need for customized marketing strategies.
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PC, phone or tablet? Use, preference and completion rates for web surveys

TL;DR: In this article, the authors investigated whether representativity is undermined if personal computer, tablet and smartphone respondents differ in socio-demographic characteristics and display different survey completion rates, and found that respondents who are members of online panels still mostly use their personal computers, but do express increasing interest in using smartphones and tablets.