Should we postpone a decision to collect more information or decide based on the information already available? This is a typical dilemma not only in business life. Psychologists have found that most people tend to wait too long and spend too much on information collection. Why is that the case? Our study gives a surprising answer.
Many people struggle to finish big projects. According to a 2020 survey, almost half of teleworkers had trouble getting motivated. Behavioral science can help! Here are some tips for accomplishing those daunting tasks.
Medical treatment decisions are often rife with ambiguity. Exact probabilities for things like side effects or treatment success rates are frequently unknown. But why is this important? Because decision making research has shown that ambiguity can systematically alter the choices people make. We investigated how providing different explanations for the ambiguity in a treatment decision context affected willingness to adopt a treatment with an ambiguously described success rate. When the explanations involved elements that the person was knowledgeable about or could control, people were more interested in an ambiguous treatment.
Anchoring and adjustment, a ubiquitous heuristic process in judgment and decision making, has been vastly demonstrated in the numerical domain. With the help of four studies, we demonstrate the anchoring and adjustment bias in perceptual domains. Additionally, we outline a process of perceptual anchoring and provide a way for a potential resolution to the disagreement among different process accounts for the anchoring phenomenon.
At first glance, fake news and false memories appear to be separate phenomena. But they have much in common as dangerous sources of misinformation. This article argues that fake news generates false memories, which in turn leads to flawed decision-making. Ignoring this interplay amplifies risk for individuals, businesses and policymakers who rely on information accuracy. Behavioural science techniques can nudge decision-makers towards more proactive critical thinking and self-checking to minimise this predictable and avoidable error.
There is a growing concern that the academic literature, because of publication biases and other limitations of single-shot, lab-based studies, overstates the power of nudges in real life. We examined this issue in a 10-week RCT in 60 supermarkets comparing 4 front-of-pack simplified nutrition labels. The good news is that the ordering of the nutrition labels was the same as in published lab-based studies. The bad news is that our effect sizes were, on average, 17 times smaller than in the published literature.
On September 24, 2020, we teamed up with the Think Forward Initiative to celebrate the launch of the Behavioral Economics Guide 2020. Our panel of speakers presented their work around the event's main topic 'What can behavioral economics contribute to tackle the threat of climate change?'. Here's a video recording of the event.
An increasing number of academic studies have used sports data to investigate economic behavior. Sports data are not only readily available, they also provide an excellent laboratory to study human behavior in real competitive environments. In this article, I will present several examples of my own work that have used sports data to explain fundamental economic theories, as well as articles that showed divergences of economic decision making from neo-classical theories.
There is a lot of evidence on the variation of human experience and that economic, social and linguistic environments strongly shape people’s behaviour, motivations and preferences. Despite this, these topics have not received a lot of attention in decision making psychology. In this article, I shed some light on the background of why this is the case.
Applied behavioural science is facing some tough challenges, in the form of an ongoing replication crisis and a public debate on limits to nudging (including COVID-related stumbles). At the same time, we believe there is reason to be optimistic: the fusing of behavioural knowledge with data science methods means that we can see some of these shared challenges in a completely new light. In this article, we show how a transformation of our interactions with consumers and employees can usher in a new age for the field.
