收益管理
款待
酒店业
偏爱
离散选择
收益管理
计算机科学
交易数据
营销
运筹学
经济
计量经济学
数据科学
微观经济学
业务
收入
旅游
工程类
数据库
数据库事务
会计
政治学
法学
作者
Leo MacDonald,Christopher D. Anderson,Rohit Verma
摘要
This article presents an overview of discrete choice modeling for making pricing decisions in services. During recent years, discrete choice modeling has emerged as an effective approach for developing analytical models and for estimating relative weights of parameters based on empirical data. For estimation purposes, typically one of two forms of data is used: transactional data captured in databases (revealed-preference data); or primary experimental data (stated-preference data). In this article, we provide detailed illustration of both approaches for pricing decisions for hospitality services. Finally, we discuss the managerial implications of the discrete choice modeling approach described earlier in the article.
科研通智能强力驱动
Strongly Powered by AbleSci AI