Feedback negativity and decision-making behavior in the Balloon Analogue Risk Task (BART) in adolescents is modulated by peer presence

2016 ◽  
Vol 54 (2) ◽  
pp. 260-269 ◽  
Author(s):  
Luisa Kessler ◽  
Johannes Hewig ◽  
Karina Weichold ◽  
Rainer K. Silbereisen ◽  
Wolfgang H. R. Miltner
2016 ◽  
Vol 19 (2) ◽  
pp. 202-209 ◽  
Author(s):  
Jorien Veldwijk ◽  
Brigitte A.B. Essers ◽  
Mattijs S. Lambooij ◽  
Carmen D. Dirksen ◽  
Henriette A. Smit ◽  
...  

2012 ◽  
Vol 71 (3) ◽  
pp. 199-205 ◽  
Author(s):  
Jonathan A. Sugam ◽  
Jeremy J. Day ◽  
R. Mark Wightman ◽  
Regina M. Carelli

1981 ◽  
Vol 33 (2) ◽  
pp. 234-252 ◽  
Author(s):  
Jerel A. Rosati

The bureaucratic politics model has achieved great popularity in the study of decision making. Yet too often the term “bureaucratic politics” is used by scholars and practitioners without clearly stating its policy application. The decision-making behavior that occurred during the Johnson and Nixon administrations for SALT I serves to illustrate many of the limits of the model. First, the decision-making structure posited by the bureaucratic politics model is not nearly as prevalent within the executive branch as is commonly assumed. Second, even where the bureaucratic politics structure is present, the decision-making process is not always one of bargaining, compromise, and consensus. Finally, the decision context and the decision participants are ignored in the model. To provide a clearer understanding of policy-making behavior, a more systematic decision-making framework is offered, which should contribute to the development of better model- and theory-building.


2013 ◽  
Vol 96 (7) ◽  
pp. 4751-4758 ◽  
Author(s):  
R.A. Russell ◽  
J.M. Bewley

2019 ◽  
Vol 72 (8) ◽  
pp. 1998-2017 ◽  
Author(s):  
Adam Bulley ◽  
Beyon Miloyan ◽  
Gillian V Pepper ◽  
Matthew J Gullo ◽  
Julie D Henry ◽  
...  

Humans frequently create mental models of the future, allowing outcomes to be inferred in advance of their occurrence. Recent evidence suggests that imagining positive future events reduces delay discounting (the devaluation of reward with time until its receipt), while imagining negative future events may increase it. Here, using a sample of 297 participants, we experimentally assess the effects of cued episodic simulation of positive and negative future scenarios on decision-making in the context of both delay discounting (monetary choice questionnaire) and risk-taking (balloon-analogue risk task). Participants discounted the future less when cued to imagine positive and negative future scenarios than they did when cued to engage in control neutral imagery. There were no effects of experimental condition on risk-taking. Thus, although these results replicate previous findings suggesting episodic future simulation can reduce delay discounting, they indicate that this effect is not dependent on the valence of the thoughts, and does not generalise to all other forms of “impulsive” decision-making. We discuss various interpretations of these results, and suggest avenues for further research on the role of prospection in decision-making.


1964 ◽  
Vol 11 (4) ◽  
pp. 315-323 ◽  
Author(s):  
T. Antoinette Ryan ◽  
John D. Krumboltz

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Liying Li ◽  
Yong Wang

This study investigates the channel coordination issue of a supply chain with a risk-neutral manufacturer and a loss-averse retailer facing stochastic demand that is sensitive to sales effort. Under the loss-averse newsvendor setting, a distribution-free gain/loss-sharing-and-buyback (GLB) contract has been shown to be able to coordinate the supply chain. However, we find that a GLB contract remains ineffective in managing the supply chain when retailer sales efforts influence the demand. To effectively coordinate the channel, we propose to combine a GLB contract with sales rebate and penalty (SRP) contract. In addition, we discover a special class of gain/loss contracts that can coordinate the supply chain and arbitrarily allocate the expected supply chain profit between the manufacturer and the retailer. We then analyze the effect of loss aversion on the retailer’s decision-making behavior and supply chain performance. Finally, we perform a numerical study to illustrate the findings and gain additional insights.


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