Data

Data from consumer preference to utilise a mobile health app: a stated preference experiment

Curtin University
David Lim (Associated with, Aggregated by) Richard Norman (Aggregated by) Robinson, Suzanne (Aggregated by) Suzanne Robinson (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25917/5e256ca31c855&rft.title=Data from consumer preference to utilise a mobile health app: a stated preference experiment&rft.identifier=10.25917/5e256ca31c855&rft.publisher=Curtin University&rft.description=This de-identified data was collected during December 2018 via Survey Engine (a company which specialises in the administration of online surveys through an online panel of respondents). The results reveal key factors in a quantifiable method, with highest to lowest impact on consumers’ preference towards utilisation of a digital administration mobile app. Analysis for consumers’ willingness against each sociodemographic revealed an order of subgroups that were most to least willing to utilise the mobile app.&rft.creator=David Lim&rft.creator=Richard Norman&rft.creator=Robinson, Suzanne&rft.creator=Suzanne Robinson&rft.date=2020&rft.coverage=Australia&rft_rights=Free for re-use under a CC BY: Attribution 4.0 licence http://creativecommons.org/licenses/by/4.0/&rft_rights=CC BY: Attribution 4.0 http://creativecommons.org/licenses/by/4.0/&rft_subject=preference study&rft_subject=mobile app&rft_subject=digital health&rft_subject=consumer preference&rft_subject=Applied Statistics&rft_subject=MATHEMATICAL SCIENCES&rft_subject=STATISTICS&rft_subject=Biostatistics&rft.type=dataset&rft.language=English Access the data
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CC BY: Attribution 4.0
http://creativecommons.org/licenses/by/4.0/

Free for re-use under a CC BY: Attribution 4.0 licence
http://creativecommons.org/licenses/by/4.0/

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This de-identified data was collected during December 2018 via Survey Engine (a company which specialises in the administration of online surveys through an online panel of respondents). The results reveal key factors in a quantifiable method, with highest to lowest impact on consumers’ preference towards utilisation of a digital administration mobile app. Analysis for consumers’ willingness against each sociodemographic revealed an order of subgroups that were most to least willing to utilise the mobile app.

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text: Australia

Subjects
Applied Statistics | Biostatistics | Mathematical Sciences | Statistics | consumer preference | digital health | mobile app | preference study |

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