Consumer adoption of personalised nutrition services from the perspective of a risk–benefit trade-off
Genes and Nutrition, ISSN: 1865-3499, Vol: 10, Issue: 6, Page: 42
2015
- 32Citations
- 74Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations32
- Citation Indexes32
- 32
- CrossRef12
- Captures74
- Readers74
- 74
Article Description
Through a Privacy Calculus (i.e. risk–benefit trade-off) lens, this study identifies factors that contribute to consumers’ adoption of personalised nutrition services. We argue that consumers’ intention to adopt personalised nutrition services is determined by perceptions of Privacy Risk, Personalisation Benefit, Information Control, Information Intrusiveness, Service Effectiveness, and the Benevolence, Integrity, and Ability of a service provider. Data were collected in eight European countries using an online survey. Results confirmed a robust and Europe-wide applicable cognitive model, showing that consumers’ intention to adopt personalised nutrition services depends more on Perceived Personalisation Benefit than on Perceived Privacy Risk. Perceived Privacy Risk was mainly determined by perceptions of Information Control, whereas Perceived Personalisation Benefit primarily depended on Perceived Service Effectiveness. Services that required increasingly intimate personal information, and in particular DNA, raised consumers’ Privacy Risk perceptions, but failed to increase perceptions of Personalisation Benefit. Accordingly, to successfully exploit personalised nutrition, service providers should convey a clear message regarding the benefits and effectiveness of personalised nutrition services. Furthermore, service providers may reduce Privacy Risk by increasing consumer perceptions of Information Control. To enhance perceptions of both Information Control and Service Effectiveness, service providers should make sure that consumers perceive them as competent and reliable.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84942814231&origin=inward; http://dx.doi.org/10.1007/s12263-015-0478-y; http://www.ncbi.nlm.nih.gov/pubmed/26407608; http://genesandnutrition.biomedcentral.com/articles/10.1007/s12263-015-0478-y; https://dx.doi.org/10.1007/s12263-015-0478-y; https://genesandnutrition.biomedcentral.com/articles/10.1007/s12263-015-0478-y; http://link.springer.com/article/10.1007%2Fs12263-015-0478-y; https://link.springer.com/article/10.1007/s12263-015-0478-y; https://link.springer.com/content/pdf/10.1007%2Fs12263-015-0478-y.pdf; http://link.springer.com/10.1007/s12263-015-0478-y; https://genesandnutrition.biomedcentral.com/counter/pdf/10.1007/s12263-015-0478-y; http://link.springer.com/article/10.1007/s12263-015-0478-y/fulltext.html
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know