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Decision Sciences
Article
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Decision Sciences
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
DBLP
Article . 2018
Data sources: DBLP
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The Impact of Decision Types on Revenue Management Decisions: An Experimental Study

Authors: Ayse Kocabiyikoglu; Celile Itir Gögüs; Mert Hakan Hekimoglu;

The Impact of Decision Types on Revenue Management Decisions: An Experimental Study

Abstract

ABSTRACTIn the standard two‐class revenue management model, the decision maker allocates a fixed resource between two customer classes with hierarchical prices and uncertain demand. The normative (i.e., expected revenue‐maximizing) allocation is given by Littlewood's Rule, but little is known about how decision makers actually form these decisions. We report results of an experimental study that investigates revenue management decision‐making. We find that subjects' behavior is influenced by the decision type. In particular, our subjects reserve more units for the high‐end segment when they are asked to set the protection level (the number of units to set aside for the higher priced class) compared to when they set the booking limit (the number of units available for the lower priced class). We propose that this behavioral pattern can be explained by our subjects’ different valuations of revenues from the high‐ and low‐end sales. We also observe that when there is a change in segment prices, although decision makers adjust allocations in the direction suggested by normative theory, the magnitude of adjustments is greater (and hence closer to the normative level) when the source of the price change matches the class whose allocation they determine.

Country
Turkey
Keywords

H Social Sciences (General), 330, Revenue management, Behavioral operations management, Behavioral Operations Management, Revenue Management, 650

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    influence
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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
bronze