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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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What Moves Which Volunteers to Donate Their Time? An Investigation of Psychographic Heterogeneity Among Volunteers in Australia

TL;DR: In this article, six psychographic segments of volunteers in Australia are constructed on the basis of their volunteeringmotivations, and the resulting segments include classic volunteers, whose motivations are threefold: doingsomething worthwhile, personal satisfaction, and helping others.
Book ChapterDOI

Airbnb's business model

TL;DR: This chapter analyses what is new about the business model of platforms that enable and sustain peer-to-peer accommodation networks.
Journal ArticleDOI

Using graphical statistics to better understand market segmentation solutions

TL;DR: This paper developed novel ways of visualising segmentation solutions using graphical statistics methodology, which can help academics and practitioners to interpret complex market segmentation solution, thus improving the practical usability of segmentation, reducing the risk of misinterpretation and contributing to closing the much-lamented "practice divide" in segmentation.
Posted Content

A post-COVID-19 model of tourism and hospitality workforce resilience

TL;DR: This paper proposed a new post-COVID-19 model of tourism and hospitality workforce resilience and found that 65% of all hospitality workers are non-standard workers, typically lacking entitlements such as annual, sick and carers leave.
Journal ArticleDOI

“To Clean or Not to Clean?” Reducing Daily Routine Hotel Room Cleaning by Letting Tourists Answer This Question for Themselves:

TL;DR: In this article, the authors investigate the power of changing default settings to influence consumer decisions without denying consumers the possibility of choosing freely, and present a study that shows that changing default default settings has proven to be a powerful approach to influencing consumer decisions.