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Research Topic : Mixed method research
Socio-Economic Objective : Marketing
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  • Funded Activity

    Discovery Projects - Grant ID: DP180103718

    Funder
    Australian Research Council
    Funding Amount
    $462,480.00
    Summary
    Improving external validity of stated choice experiments. This project aims to deliver more accurate estimates of choice behaviour by reducing biases due to choice task complexity in surveys as well as design artefacts. Extracting 'true' preferences is challenging, not only due to possible hypothetical bias, but also due to increasingly complex choice tasks and the existence of design artefacts. This project will investigate the latter two in the context of marketing, transport, health, and envi .... Improving external validity of stated choice experiments. This project aims to deliver more accurate estimates of choice behaviour by reducing biases due to choice task complexity in surveys as well as design artefacts. Extracting 'true' preferences is challenging, not only due to possible hypothetical bias, but also due to increasingly complex choice tasks and the existence of design artefacts. This project will investigate the latter two in the context of marketing, transport, health, and environmental economics, and proposes new methodologies to extract preferences that more closely reflect true behaviour in real markets.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455321

    Funder
    Australian Research Council
    Funding Amount
    $109,272.00
    Summary
    Increasing Visitor Frequency: approach to understanding and forecasting how cultural attraction visitors respond to various incentives to increase visitation rates. Museums have been steadily losing visitors over the past decade. While current research indicates that this may be attributed to greater leisure competition, little is understood about how people make choices to visit or not to visit cultural attractions. The aim of this project is to develop, demonstrate and test a Random Utility Th .... Increasing Visitor Frequency: approach to understanding and forecasting how cultural attraction visitors respond to various incentives to increase visitation rates. Museums have been steadily losing visitors over the past decade. While current research indicates that this may be attributed to greater leisure competition, little is understood about how people make choices to visit or not to visit cultural attractions. The aim of this project is to develop, demonstrate and test a Random Utility Theory (RUT)-based modelling approach allowing managers of cultural attractions to understand and predict the likely visitation consequences of potential initiatives. We wish to model visitor choices of museums versus other competing attractions to allow museums to identify specific strategic actions (or combinations) to achieve organisational goals.
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