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[https://www2.deloitte.com/insights/us/en/focus/behavioral-economics/compliance-challenges-public-sector-programs.html?id=us:2sm:3li:4di4756:5awa:6di:MMDDYY::author&pkid=1005588] - - public:weinreich
behavior_change, design, government, policy - 4 | id:187323 -

But to be effective, nudges should be calibrated; “one size fits all” approaches tend to fall short of expectations. Instead, policymakers can tailor their nudges to align with these three dimensions: Spectrums of acceptability (and deviance). How strictly must targets adhere to the rule? While driving a couple of miles over the speed limit is unlikely to result in a traffic violation, attempting to bring a weapon onto an airplane requires zero-tolerance enforcement. Frequency of action. How often must the target group provide input? It may be easier to have targets make a single decision to contribute or obey, as opposed to encouraging them to repeatedly make the same decision over time. For example, people usually only need to choose to be an organ donor once, but drivers put their seat belt on every time they get into a car. Target group diversity. How heterogeneous is your target group? People may come from different socioeconomic backgrounds, have different interests, or may speak another language, all of which makes it challenging to apply a blanket rule with universal success. Moreover, targets can be geographically scattered or online, making it difficult for policymakers to surveil the target group. For example, all vehicle owners must register their cars, but not everyone should seek the same preventative medical treatments. And even those that do require similar treatments may have different motivations for doing so.

[https://www.psychologytoday.com/intl/blog/future-minded/201810/nudge-fudge-leaves-policy-makers-in-the-dark] - - public:weinreich
behavior_change, design, evaluation, government, policy - 5 | id:187321 -

Our work published this week analyses all 111 cases studies of behavioral techniques used by governments compiled by the OECD (Organisation for Economic Co-operation and Development). Our analysis demonstrates that none of the techniques used have scientific proven effectiveness.

[https://behavioralscientist.org/last-mile-lawyer-economist-a-marketer-behavioral-scientist-go-into-a-bar/] - - public:weinreich
behavior_change, design, policy, theory - 4 | id:177179 -

The table below provides guidance for thinking through when specific policy tools are useful and when choice architecture or nudging can be used to complement or enhance a particular strategy.

[https://www.devex.com/news/taking-the-pulse-of-health-markets-challenges-and-strategies-88729?utm_content=buffer50c04&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer] - - public:weinreich
marketing, policy, strategy - 3 | id:76401 -

PSI identified several breakdowns in the health marketplace. These included government policies that created financial incentives leading providers to push sterilization over other forms of family planning, policies that created disincentives for private companies to develop the domestic market, and a lack of training among health care providers on all of the available birth control methods.

[https://www.marketingsociety.com/the-library/why-we-left-behavioural-science-view] - - public:weinreich
behavior_change, policy, theory - 3 | id:76502 -

But you have to get System 1 onside in the first place. Decisions have three big levers – in branding, in politics, in anything else. We call them Fame, Feeling & Fluency. Does a choice come to mind easily (Fame)? Then it’s a good choice. Does a choice feel good? (Feeling) Then it’s a good choice. Is a choice easy to recognise and understand? (Fluency) Then it’s a good choice.

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