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Virginia Tech

The Booking Window Evolution and its Impact on Hotel Revenue Management Forecasting

Abstract

dc:description.abstract

Travel booking behavior has changed substantially over the past two decades. The emergence of new technology and online intermediaries has provided travelers with the flexibility to book up until the date of stay. This has created a fast-paced, dynamic booking environment that disrupts traditional revenue management strategies focused on pricing and allocating rooms based on the time of purchase. The study explores the joint effects of technology and the economy on booking window lead times. It also evaluates a range of forecasting techniques and the importance of utilizing the booking curve for forecasting in dynamic booking environments.

Degree

thesis:*
Name thesis:degree_name
PHD
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Hospitality and Tourism Management
Department dc:contributor.department
Hospitality and Tourism Management
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Webb, Timothy Dayton
Chairs dc:contributor.committeechair
  • Xiang, Zheng
  • Schwartz, Zvi
Committee members dc:contributor.committeemember
  • Cherbaka, Natalie Stanislaw
  • Singal, Manisha

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:13707
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/90789

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Webb, Timothy Dayton. The Booking Window Evolution and its Impact on Hotel Revenue Management Forecasting. doctoral thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/90789