Feature preferences of sports betting platforms: A discrete choice experiment shows why young bettors prefer smartphones Article Swipe
Nerilee Hing
,
Alex Russell
,
Catherine Tulloch
,
Lisa Lole
,
Matthew Rockloff
,
Matthew Browne
,
Hannah Thorne
,
Philip Newall
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1556/2006.2023.00073
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1556/2006.2023.00073
Background and aims Smartphone, computer and land-based betting platforms each have distinctive features. This study examined 1) preferred features of sports betting platforms amongst young adults and 2) whether feature preferences vary with gambling severity. Methods The study surveyed 616 Australians aged 18–29 years who bet at-least monthly on sports, esports and/or daily fantasy sports. Participants provided a simple rating of the importance of 24 features of betting platforms and then completed a discrete choice experiment to indicate their preferences amongst different groups of features. Results Smartphones were the only platform providing all preferred features. The most important feature was ability to bet instantly 24/7 from any location, followed by electronic financial transactions. Less important features were ability to access betting information online and to bet with multiple operators. Social and privacy features, and access to promotions, did not significantly predict platform choice. The experiment found no significant differences in preferred features by gambling severity group or by gender. The non-experimental descriptive data, however, indicated that participants in the moderate risk/problem gambling categories placed significantly more importance on privacy, ability to place in-play bets, bet with cash, bet with a credit card, see frequent promotions, and bet with multiple operators. Discussion and conclusions Most features that bettors prefer can intensify betting. Curtailment of betting promotions, in-play betting, and credit card betting are measures that can assist higher-risk gamblers without unduly affecting other gamblers. Consumer protection tools, including mandatory pre-commitment, need strengthening to help counter the unique risks of smartphone betting.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1556/2006.2023.00073
- https://akjournals.com/downloadpdf/view/journals/2006/aop/article-10.1556-2006.2023.00073/article-10.1556-2006.2023.00073.pdf
- OA Status
- gold
- Cited By
- 3
- References
- 64
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390757347
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4390757347Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1556/2006.2023.00073Digital Object Identifier
- Title
-
Feature preferences of sports betting platforms: A discrete choice experiment shows why young bettors prefer smartphonesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-09Full publication date if available
- Authors
-
Nerilee Hing, Alex Russell, Catherine Tulloch, Lisa Lole, Matthew Rockloff, Matthew Browne, Hannah Thorne, Philip NewallList of authors in order
- Landing page
-
https://doi.org/10.1556/2006.2023.00073Publisher landing page
- PDF URL
-
https://akjournals.com/downloadpdf/view/journals/2006/aop/article-10.1556-2006.2023.00073/article-10.1556-2006.2023.00073.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://akjournals.com/downloadpdf/view/journals/2006/aop/article-10.1556-2006.2023.00073/article-10.1556-2006.2023.00073.pdfDirect OA link when available
- Concepts
-
Credit card, Descriptive statistics, Psychology, Advertising, Cash, Feature (linguistics), Actuarial science, Internet privacy, Business, Finance, Computer science, Payment, Statistics, Linguistics, Mathematics, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3Per-year citation counts (last 5 years)
- References (count)
-
64Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.in-play | 183, 216 |
| abstract_inverted_index.monthly | 48 |
| abstract_inverted_index.predict | 141 |
| abstract_inverted_index.privacy | 132 |
| abstract_inverted_index.sports, | 50 |
| abstract_inverted_index.sports. | 55 |
| abstract_inverted_index.whether | 29 |
| abstract_inverted_index.without | 229 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Consumer | 234 |
| abstract_inverted_index.at-least | 47 |
| abstract_inverted_index.betting, | 217 |
| abstract_inverted_index.betting. | 211, 250 |
| abstract_inverted_index.computer | 5 |
| abstract_inverted_index.discrete | 74 |
| abstract_inverted_index.examined | 16 |
| abstract_inverted_index.features | 19, 66, 116, 152, 205 |
| abstract_inverted_index.followed | 109 |
| abstract_inverted_index.frequent | 194 |
| abstract_inverted_index.gamblers | 228 |
| abstract_inverted_index.gambling | 34, 154, 172 |
| abstract_inverted_index.however, | 164 |
| abstract_inverted_index.indicate | 78 |
| abstract_inverted_index.measures | 223 |
| abstract_inverted_index.moderate | 170 |
| abstract_inverted_index.multiple | 128, 199 |
| abstract_inverted_index.platform | 91, 142 |
| abstract_inverted_index.privacy, | 179 |
| abstract_inverted_index.provided | 57 |
| abstract_inverted_index.severity | 155 |
| abstract_inverted_index.surveyed | 39 |
| abstract_inverted_index.affecting | 231 |
| abstract_inverted_index.completed | 72 |
| abstract_inverted_index.different | 82 |
| abstract_inverted_index.features, | 133 |
| abstract_inverted_index.features. | 13, 85, 95 |
| abstract_inverted_index.financial | 112 |
| abstract_inverted_index.gamblers. | 233 |
| abstract_inverted_index.important | 98, 115 |
| abstract_inverted_index.including | 237 |
| abstract_inverted_index.indicated | 165 |
| abstract_inverted_index.instantly | 104 |
| abstract_inverted_index.intensify | 210 |
| abstract_inverted_index.location, | 108 |
| abstract_inverted_index.mandatory | 238 |
| abstract_inverted_index.platforms | 9, 23, 69 |
| abstract_inverted_index.preferred | 18, 94, 151 |
| abstract_inverted_index.providing | 92 |
| abstract_inverted_index.severity. | 35 |
| abstract_inverted_index.Background | 1 |
| abstract_inverted_index.Discussion | 201 |
| abstract_inverted_index.categories | 173 |
| abstract_inverted_index.electronic | 111 |
| abstract_inverted_index.experiment | 76, 145 |
| abstract_inverted_index.importance | 63, 177 |
| abstract_inverted_index.land-based | 7 |
| abstract_inverted_index.operators. | 129, 200 |
| abstract_inverted_index.protection | 235 |
| abstract_inverted_index.smartphone | 249 |
| abstract_inverted_index.Australians | 41 |
| abstract_inverted_index.Curtailment | 212 |
| abstract_inverted_index.Smartphone, | 4 |
| abstract_inverted_index.Smartphones | 87 |
| abstract_inverted_index.conclusions | 203 |
| abstract_inverted_index.descriptive | 162 |
| abstract_inverted_index.differences | 149 |
| abstract_inverted_index.distinctive | 12 |
| abstract_inverted_index.higher-risk | 227 |
| abstract_inverted_index.information | 122 |
| abstract_inverted_index.preferences | 31, 80 |
| abstract_inverted_index.promotions, | 137, 195, 215 |
| abstract_inverted_index.significant | 148 |
| abstract_inverted_index.Participants | 56 |
| abstract_inverted_index.participants | 167 |
| abstract_inverted_index.risk/problem | 171 |
| abstract_inverted_index.significantly | 140, 175 |
| abstract_inverted_index.strengthening | 241 |
| abstract_inverted_index.transactions. | 113 |
| abstract_inverted_index.pre-commitment, | 239 |
| abstract_inverted_index.non-experimental | 161 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/5 |
| sustainable_development_goals[0].score | 0.5600000023841858 |
| sustainable_development_goals[0].display_name | Gender equality |
| citation_normalized_percentile.value | 0.86238088 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |