Topic
Nudge theory
About: Nudge theory is a research topic. Over the lifetime, 656 publications have been published within this topic receiving 20622 citations.
Papers published on a yearly basis
Papers
Book•
8 Apr 2008TL;DR: In Nudge as discussed by the authors, Thaler and Sunstein argue that human beings are susceptible to various biases that can lead us to blunder and make bad decisions involving education, personal finance, health care, mortgages and credit cards, the family, and even the planet itself.
Abstract: A groundbreaking discussion of how we can apply the new science of choice architecture to nudge people toward decisions that will improve their lives by making them healthier, wealthier, and more free Every day, we make decisions on topics ranging from personal investments to schools for our children to the meals we eat to the causes we champion. Unfortunately, we often choose poorly. Nobel laureate Richard Thaler and legal scholar and bestselling author Cass Sunstein explain in this important exploration of choice architecture that, being human, we all are susceptible to various biases that can lead us to blunder. Our mistakes make us poorer and less healthy; we often make bad decisions involving education, personal finance, health care, mortgages and credit cards, the family, and even the planet itself. In Nudge, Thaler and Sunstein invite us to enter an alternative world, one that takes our humanness as a given. They show that by knowing how people think, we can design choice environments that make it easier for people to choose what is best for themselves, their families, and their society. Using colorful examples from the most important aspects of life, Thaler and Sunstein demonstrate how thoughtful "choice architecture" can be established to nudge us in beneficial directions without restricting freedom of choice. Nudge offers a unique new take-from neither the left nor the right-on many hot-button issues, for individuals and governments alike. This is one of the most engaging and provocative books to come along in many years.
11,000 citations
TL;DR: The authors show that while the electricity conservation "nudge" of providing feedback to households on own and peers' home electricity usage works with liberals, it can backfire with conservatives, showing that a Democratic household that pays for electricity from renewable sources, that donates to environmental groups, and that lives in a liberal neighborhood reduces its consumption by 3 percent in response to this nudge.
Abstract: “Nudges” are being widely promoted to encourage energy conservation. We show that while the electricity conservation “nudge” of providing feedback to households on own and peers’ home electricity usage works with liberals, it can backfire with conservatives. Our regression estimates predict that a Democratic household that pays for electricity from renewable sources, that donates to environmental groups, and that lives in a liberal neighborhood reduces its consumption by 3 percent in response to this nudge. A Republican household that does not pay for electricity from renewable sources and that does not donate to environmental groups increases its consumption by 1 percent.
777 citations
766 citations
TL;DR: It is argued that concerns about the legitimacy of these techniques are not satisfactorily resolved through reliance on individual notice and consent, touching upon the troubling implications for democracy and human flourishing if Big Data analytic techniques driven by commercial self-interest continue their onward march unchecked by effective and legitimate constraints.
Abstract: This paper draws on regulatory governance scholarship to argue that the analytic phenomenon currently known as ‘Big Data’ can be understood as a mode of ‘design-based’ regulation. Although Big Data decision-making technologies can take the form of automated decision-making systems, this paper focuses on algorithmic decision-guidance techniques. By highlighting correlations between data items that would not otherwise be observable, these techniques are being used to shape the informational choice context in which individual decision-making occurs, with the aim of channelling attention and decision-making in directions preferred by the ‘choice architect’. By relying upon the use of ‘nudge’ – a particular form of choice architecture that alters people’s behaviour in a predictable way without forbidding any options or significantly changing their economic incentives, these techniques constitute a ‘soft’ form of design-based control. But, unlike the static Nudges popularised by Thaler and Sunstein [(20...
672 citations
TL;DR: An initial taxonomy of boosts is provided, to foster people’s competence to make their own choices—that is, to exercise their own agency, and to address some possible misconceptions.
Abstract: In recent years, policy makers worldwide have begun to acknowledge the potential value of insights from psychology and behavioral economics into how people make decisions. These insights can inform the design of nonregulatory and nonmonetary policy interventions-as well as more traditional fiscal and coercive measures. To date, much of the discussion of behaviorally informed approaches has emphasized "nudges," that is, interventions designed to steer people in a particular direction while preserving their freedom of choice. Yet behavioral science also provides support for a distinct kind of nonfiscal and noncoercive intervention, namely, "boosts." The objective of boosts is to foster people's competence to make their own choices-that is, to exercise their own agency. Building on this distinction, we further elaborate on how boosts are conceptually distinct from nudges: The two kinds of interventions differ with respect to (a) their immediate intervention targets, (b) their roots in different research programs, (c) the causal pathways through which they affect behavior, (d) their assumptions about human cognitive architecture, (e) the reversibility of their effects, (f) their programmatic ambitions, and (g) their normative implications. We discuss each of these dimensions, provide an initial taxonomy of boosts, and address some possible misconceptions.
668 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2025 | 193 |
| 2024 | 248 |
| 2023 | 338 |
| 2022 | 422 |
| 2021 | 114 |
| 2020 | 97 |