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Consumer adoption of personalised nutrition services from the perspective of a risk–benefit trade-off

Overview of attention for article published in Genes & Nutrition, September 2015
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68 Mendeley
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Title
Consumer adoption of personalised nutrition services from the perspective of a risk–benefit trade-off
Published in
Genes & Nutrition, September 2015
DOI 10.1007/s12263-015-0478-y
Pubmed ID
Authors

Aleksandra Berezowska, Arnout R. H. Fischer, Amber Ronteltap, Ivo A. van der Lans, Hans C. M. van Trijp

Abstract

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.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 22%
Researcher 12 18%
Student > Bachelor 7 10%
Student > Ph. D. Student 7 10%
Professor > Associate Professor 5 7%
Other 7 10%
Unknown 15 22%
Readers by discipline Count As %
Business, Management and Accounting 9 13%
Social Sciences 8 12%
Biochemistry, Genetics and Molecular Biology 8 12%
Computer Science 7 10%
Agricultural and Biological Sciences 5 7%
Other 13 19%
Unknown 18 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 February 2016.
All research outputs
#13,762,875
of 22,844,985 outputs
Outputs from Genes & Nutrition
#195
of 388 outputs
Outputs of similar age
#134,512
of 274,997 outputs
Outputs of similar age from Genes & Nutrition
#2
of 10 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 274,997 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.