Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans-Reference-Cited by-同舟云学术

Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans

Published:2018-09 Issue:3 Volume:269 Page:1165-1179
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Schlereth Christian^ORCID,Skiera Bernd^ORCID,Schulz Fabian

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference62 articles.

1. When talk is “free”: The effect of tariff structure on usage under two and three-part tariffs;Ascarza;Journal of Marketing Research,2012

2. Developing a model of antecedents to consumers' perceptions and evaluations of price unfairness;Bechwati;Journal of Business Research,2009

3. Hybrid pricing in a coupled European power market with more wind power;Bjørndal;European Journal of Operational Research,2018

4. Peak load pricing;Boiteux;Journal of Business,1960

5. On the efficiency of competitive electricity markets with time-invariant retail prices;Borenstein;RAND Journal of Economics,2005

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