Award Date
12-2010
Degree Type
Professional Paper
Degree Name
Master of Hospitality Administration
Department
Hotel Administration
First Committee Member
Mehmet Erdem, Chair
Number of Pages
42
Abstract
Traditionally, forecasting has included human judgment and/ or guessing. The process has often been described as “guesstimation.” For instance, people are easily affected by user interface issue or rewarding policies during this process. The purpose of the study is to study and understand how revenue managers and other decision makers “make noise” during forecasting, especially when utilizing the advanced RMS, and to offer constructive suggestions to overcome the issues related to human judgment. In other words, the main objective of this study is to analyze the known influential factors for the interaction of revenue managers’ judgment and RMS tools by reviewing existing literature and making suggestions to improve forecasting in the hotel industry.
Keywords
Hospitality industry; Hotels – Forecasting; Revenue management
Disciplines
Hospitality Administration and Management | Management Information Systems | Technology and Innovation
File Format
Degree Grantor
University of Nevada, Las Vegas
Language
English
Repository Citation
Chen, I-Pei Claire, "Hotel revenue management: Investigating the interaction of information technology and judgmental forecasting" (2010). UNLV Theses, Dissertations, Professional Papers, and Capstones. 647.
http://dx.doi.org/10.34917/1756894
Rights
IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
Included in
Hospitality Administration and Management Commons, Management Information Systems Commons, Technology and Innovation Commons