2018
DOI: 10.3384/diss.diva-152788
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När är nudges acceptabla? : Påverkan av mottagare, teknik, alternativ och beslutsarkitekter

Abstract: Partisan bias for acceptability of nudges in Sweden: When partisanconsistent legislation is as good as partisan-inconsistent nudges. Manuscript.

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Cited by 2 publications
(1 citation statement)
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“…Nudge theory is based on behavioural economics which combines the rational nature of human behaviour from economics theory perspective, and the human cognitive biases from the psychological one which participate in influencing personal decision making (Thaler and Sunstein 2009). A nudge could be defined as an indirect positive reinforcement toward specific planned behaviour based on a choice architecture with a predictable effect, using human features like cognitive biases, heuristics, non-rational, and non-conscious features (Thaler and Sunstein 2009;Hagman 2018). Main ethical and effectiveness considerations when designing a specific nudge is to make sure that it maintains the freedom of user choice (non-forcible), to be transparent without hidden objectives, and to be relying on evidence-based methods rather than intuitions or non-scientific basis (Sunstein 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Nudge theory is based on behavioural economics which combines the rational nature of human behaviour from economics theory perspective, and the human cognitive biases from the psychological one which participate in influencing personal decision making (Thaler and Sunstein 2009). A nudge could be defined as an indirect positive reinforcement toward specific planned behaviour based on a choice architecture with a predictable effect, using human features like cognitive biases, heuristics, non-rational, and non-conscious features (Thaler and Sunstein 2009;Hagman 2018). Main ethical and effectiveness considerations when designing a specific nudge is to make sure that it maintains the freedom of user choice (non-forcible), to be transparent without hidden objectives, and to be relying on evidence-based methods rather than intuitions or non-scientific basis (Sunstein 2014).…”
Section: Introductionmentioning
confidence: 99%