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دسته بندی:
حقوق خصوصی - Private law
سال انتشار:
2020
عنوان انگلیسی مقاله:
Self-interest and data protection drive the adoption and moral acceptability of big data technologies: A conjoint analysis approach
ترجمه فارسی عنوان مقاله:
منافع شخصی و محافظت از داده ها باعث پذیرش اخلاقی و تطبیقی فناوری های داده بزرگ می شوند: یک رویکرد تجزیه و تحلیل مشترک
منبع:
Sciencedirect - Elsevier - Computers in Human Behavior, 108 (2020) 106303. doi:10.1016/j.chb.2020.106303
نویسنده:
Rabia I. Kodapanakkal *, Mark J. Brandt , Christoph Kogler , Ilja van Beest
چکیده انگلیسی:
Big data technologies have both benefits and costs which can influence their adoption and moral acceptability.
Prior studies look at people’s evaluations in isolation without pitting costs and benefits against each other. We
address this limitation with a conjoint experiment (N ¼ 979), using six domains (criminal investigations, crime
prevention, citizen scores, healthcare, banking, and employment), where we simultaneously test the relative
influence of four factors: the status quo, outcome favorability, data sharing, and data protection on decisions to
adopt and perceptions of moral acceptability of the technologies. We present two key findings. (1) People adopt
technologies more often when data is protected and when outcomes are favorable. They place equal or more
importance on data protection in all domains except healthcare where outcome favorability has the strongest
influence. (2) Data protection is the strongest driver of moral acceptability in all domains except healthcare,
where the strongest driver is outcome favorability. Additionally, sharing data lowers preference for all technologies,
but has a relatively smaller influence. People do not show a status quo bias in the adoption of technologies.
When evaluating moral acceptability, people show a status quo bias but this is driven by the citizen
scores domain. Differences across domains arise from differences in magnitude of the effects but the effects are in
the same direction. Taken together, these results highlight that people are not always primarily driven by selfinterest
and do place importance on potential privacy violations. The results also challenge the assumption
that people generally prefer the status quo.
Keywords: Moral acceptability | Big data | Conjoint analysis | Outcome favorability | Data protection | Data sharing
قیمت: رایگان
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