Stretch goals have enduring appeal, but are the right organisations using them?

Background: The healthcare industry faces significant challenges and opportunities that demand lofty aspirations and novel approaches. Pursuing seemingly impossible goals, popularly known as 'stretch goals', can be a way to instigate dramatic change and innovation, but such extreme goals also come with substantial risks. After briefly reporting the results of a national survey we conducted to provide examples of how stretch goals are used in healthcare, we review and translate prior research on the effects of stretch goals on organisations and their members.

Reactions to decisions with uncertain consequences: reliance on perceived fairness versus predicted outcomes depends on knowledge.

Many decisions made by authorities pose uncertain consequences for the individuals affected by them, yet people must determine the extent to which they will support the change. Integrating the social justice and behavioral decision theory literatures, the article argues that individuals determine their support for proposed initiatives by assessing how knowledgeable they feel and using 2 main sources of information more or less heavily: their prediction of how the outcome of the initiative is likely to affect them or the perceived fairness of the decision maker. Three studies (2 experiments, 1 longitudinal field survey) assessing support for proposed public policies reveal that when individuals feel very knowledgeable they rely more on their prediction of how the outcome will affect them, whereas when they feel less knowledgeable they rely more on an overall impression of procedural fairness.

Between ignorance and truth: Partition dependence and learning in judgment under uncertainty.

In 3 studies, participants viewed sequences of multiattribute objects (e.g., colored shapes) appearing with varying frequencies and judged the likelihood of the attributes of those objects.