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Call for Papers: Nudging and Choice Architecture

Authors: Leal, Cristiana Cerqueira; Oliveira, Benilde; Branco-Illodo, Ines; Salvador, María Luisa Esteban;

Call for Papers: Nudging and Choice Architecture

Abstract

IMPORTANT DEADLINES Submission of Full Paper: January 15th, 2021. Review Process Ends: until June 15th, 2021. Special Issue publication (expected): until September, 2021. SPECIAL ISSUE THEME Insights from behavioral sciences are reshaping the architecture of choice design. Nudges are small changes in supposedly irrelevant features in the choice framing to enhance the best option, without removing the other set of options, to promote the best self-interest of the individual (Thaler & Sunstein, 2008) . A nudge is neutral in the sense that individuals can opt-out of the nudge incentive without difficulty or relevant cost. However, in practice, nudges are strongly efficient to affect the decision-making process and, consequently, the final well-being level of the individuals (hopefully for the best). Currently, nudge initiatives are increasingly widespread. They are being used in very different ways and at different levels throughout the world to enhance the effectiveness of interventions to promote individual and social welfare (see, for instance, Behavioural Insights Team, 2018; John et al., 2020; Lehner et al., 2016; Lourenço et al., 2016; White, 2019; Whitehead et al., 2014). In this special call for papers, we aim to see how insights from behavioral science can help researchers and policymakers to understand the potential of choice architecture and nudging to respond to various challenges in management. For this special issue, we welcome submissions of all areas of management that address nudging or choice architecture.

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Keywords

choice architecture, nudging, Journal of Contemporary Administration, call for papers

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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