{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/90789"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/90789","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"The Booking Window Evolution and its Impact on Hotel Revenue Management Forecasting","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Webb, Timothy Dayton"],"institution":"Virginia Tech","degree_name":"PHD","degree_level":"doctoral","degree_discipline":"Hospitality and Tourism Management","degree_department":"Hospitality and Tourism Management","school":null,"contributors":[],"advisors":[],"committee_chairs":["Xiang, Zheng","Schwartz, Zvi"],"committee_members":["Cherbaka, Natalie Stanislaw","Singal, Manisha"],"year":2018,"date_issued":"2018-01-05","date_published":"2018-01-05","updated_at":"2026-07-22T22:18:52Z","subjects":["Revenue Management","Booking Behavior","Forecasting","OTAs"],"languages":[],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:13707"],"render_values":[{"text":"vt_gsexam:13707","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/90789","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Xiang, Zheng","Schwartz, Zvi"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Cherbaka, Natalie Stanislaw","Singal, Manisha"]},{"key":"dc:contributor.department","label":"Department","values":["Hospitality and Tourism Management"]},{"key":"dc:creator","label":"Author","values":["Webb, Timothy Dayton"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2019-06-30T06:00:41Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2019-06-30T06:00:41Z"]},{"key":"dc:date.issued","label":"Date","values":["2018-01-05"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Dissertation"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Hospitality and Tourism Management"]},{"key":"thesis:degree_level","label":"Degree Level","values":["doctoral"]},{"key":"thesis:degree_name","label":"Degree Name","values":["PHD"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Revenue Management","Booking Behavior","Forecasting","OTAs"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:13707"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/90789"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:description.abstractgeneral","label":"General Abstract","values":["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 environment."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["PHD"]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["ETD"]},{"key":"dc:title","label":"Title","values":["The Booking Window Evolution and its Impact on Hotel Revenue Management Forecasting"]}]}],"canonical_facts":{"dc:contributor.committeechair":["Xiang, Zheng","Schwartz, Zvi"],"dc:contributor.committeemember":["Cherbaka, Natalie Stanislaw","Singal, Manisha"],"dc:contributor.department":["Hospitality and Tourism Management"],"dc:creator":["Webb, Timothy Dayton"],"dc:date.accessioned":["2019-06-30T06:00:41Z"],"dc:date.available":["2019-06-30T06:00:41Z"],"dc:date.issued":["2018-01-05"],"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."],"dc:description.abstractgeneral":["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 environment."],"dc:description.degree":["PHD"],"dc:format.medium":["ETD"],"dc:identifier.other":["vt_gsexam:13707"],"dc:identifier.uri":["http://hdl.handle.net/10919/90789"],"dc:publisher":["Virginia Tech"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["Revenue Management","Booking Behavior","Forecasting","OTAs"],"dc:title":["The Booking Window Evolution and its Impact on Hotel Revenue Management Forecasting"],"dc:type":["Dissertation"],"thesis:degree_discipline":["Hospitality and Tourism Management"],"thesis:degree_level":["doctoral"],"thesis:degree_name":["PHD"],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:18:52Z"}