Experienced Utility or Decision Utility for QALY Calculation? Both

2017 ◽  
Vol 11 (1) ◽  
pp. 82-89
Author(s):  
Paige A Clayton ◽  
Douglas P MacKay
Keyword(s):  
Experienced Utility ◽  
Decision Utility

scholarly journals Happy with Your Capabilities? Valuing ICECAP-O and ICECAP-A States Based on Experienced Utility Using Subjective Well-Being Data

2020 ◽  
Vol 40 (4) ◽  
pp. 498-510
Author(s):  
Sebastian Himmler ◽  
Job van Exel ◽  
Werner Brouwer
Keyword(s):  
Regression Models ◽  
Well Being ◽  
Economic Evaluations ◽  
Subjective Well Being ◽  
Composite Measure ◽  
Target Groups ◽  
Cross Sectional ◽  
Experienced Utility ◽  
Decision Utility ◽  
Value Sets

Background. The ICECAP-O and the ICECAP-A are validated capability well-being instruments. To be used in economic evaluations, multidimensional instruments require weighting of the distinguished well-being states. These weights are usually obtained through ex ante preference elicitation (i.e., decision utility) but could also be based on experienced utility. Objective. This article describes the development of value sets for ICECAP-O and ICECAP-A based on experienced utility and compares them with current decision utility weights. Methods. Data from 2 cross-sectional samples corresponding to the target groups of ICECAP-O and ICECAP-A were used in 2 separate analyses. The utility impacts of ICECAP-O and ICECAP-A levels were assessed through regression models using a composite measure of subjective well-being as a proxy for experienced utility. The observed utility impacts were rescaled to match the 0 to 1 range of the existing value set. Results. The calculated experienced utility values were similar to the decision utility weights for some of the ICECAP dimensions but deviated for others. The largest differences were found for weights of the ICECAP-O dimension enjoyment and the ICECAP-A dimensions attachment and autonomy. Conclusions. The results suggest a different weighting of ICECAP-O and ICECAP-A levels if experienced utility is used instead of decision utility.

From Experienced Utility to Decision Utility

2014 ◽  
pp. 335-351 ◽  
Author(s):  
Kent C. Berridge ◽  
John P. O’Doherty
Keyword(s):  
Experienced Utility ◽  
Decision Utility

scholarly journals Travel mode choice and travel satisfaction: bridging the gap between decision utility and experienced utility

2015 ◽  
Vol 43 (5) ◽  
pp. 771-796 ◽  
Author(s):  
Jonas De Vos ◽  
Patricia L. Mokhtarian ◽  
Tim Schwanen ◽  
Veronique Van Acker ◽  
Frank Witlox
Keyword(s):  
Mode Choice ◽  
Travel Mode ◽  
Travel Mode Choice ◽  
Experienced Utility ◽  
Decision Utility ◽  
Travel Satisfaction

scholarly journals Utility Measurement in Integrative Negotiation

2021 ◽  
Vol 13 (1(I)) ◽  
pp. 1-15
Author(s):  
Latifa Ghalayini ◽  
Dana Deeb
Keyword(s):  
Incomplete Information ◽  
Function Structure ◽  
Competitive Position ◽  
Utility Measurement ◽  
Integrative Negotiation ◽  
Experienced Utility ◽  
Measurement Function ◽  
Decision Utility

This paper develops an adjustment to utility measurement in integrative negotiation where the negotiation information context is incomplete. The developed function reveals not only win-win outcomes but also deceptive practices where negotiators accept a win-lose deal and then compensate their loss in a deceptive way and greedy practices where negotiators realize their strong competitive position and try to extremely maximize their gains. However, to realize the objective, the utility measurement function literature and theories are reviewed to determine the relevant function structure and the necessary attributes that reveal the desired outcome in an incomplete information context. After examination, relationship measurement is added to the function under two utilities: Decision Utility and Experienced Utility. The foundation of the utility measurement function contributes to revealing satisfying win-win outcomes in an incomplete information negotiation context. Therefore, it develops the negotiation field by designing win-win deals that are beneficial and satisfying in which the advantage is distributed between the negotiators.

The influence of Hanok experience on tourists’ attitude and behavioral intention: An interplay between experiences and a Value-Attitude-Behavior model

2021 ◽  
pp. 135676672110117
Author(s):  
Choong-Ki Lee ◽  
Yvette Reisinger ◽  
Muhammad Shakil Ahmad ◽  
Yae-Na Park ◽  
Choong-Won Kang
Keyword(s):  
Behavioral Intention ◽  
Sem Analysis ◽  
Experience Economy ◽  
A Value ◽  
Functional Value ◽  
Experienced Utility ◽  
Attitude Behavior ◽  
Tourism And Hospitality ◽  
The Impact ◽  
Value Functional

This study examines the impact of Hanok experience on tourists’ attitude and behavioral intention using the experience economy ( Pine and Gilmore, 1998 ) and the experienced utility theory ( Kahneman et al., 1997 ). Specifically, the study explores how tourists’ experiences are associated with a Value-Attitude-Behavior (VAB) model in the context of a heritage tourism attraction such as Jeonju Hanok Village in South Korea. A total of 323 responses were examined using SEM analysis. The results revealed that educational, entertainment, and escapism experiences significantly influenced functional value. Functional value had a significant relationship with attitude, which was positively related to behavioral intention. The results indicate the interplay of tourists’ experiences with the VAB model. The study provides theoretical and practical implications for tourism and hospitality academics and practitioners.

scholarly journals Special Review: Decision Utility, The Brain, and Pursuit of Hedonic Goals

2008 ◽  
Vol 26 (5) ◽  
pp. 621-646 ◽  
Author(s):  
Kent C. Berridge ◽  
J. Wayne Aldridge
Keyword(s):  
Special Review ◽  
Decision Utility ◽  
The Brain
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