Revenue Management Performance Drivers:An Empirical Analysis in the Hotel Industry

MNLM;Social support;Hotels;Empirical;Revenue management

Crystal, Carolyn Roberts ; Management

University:Georgia Institute of Technology

Department:Management

关键词: MNLM;    Social support;    Hotels;    Empirical;    Revenue management;   

Others  :  https://smartech.gatech.edu/bitstream/1853/16302/1/crystal_carolyn_r_200708_phd.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

Revenue Management (RM) is an important tool for matching supply and demand by segmenting customers into different segments based on their willingness-to-pay and allocating scarce capacity to the different segments in a way that maximizes firm revenues.The benefits of RM are well accepted in the hospitality industry, and the technical aspects of RM form a rich analytical research stream.However, the research is missing a holistic examination of important elements of effective RM. The literature shows that market segmentation, pricing, forecasting, capacity allocation, IT use, organizational focus, aligned incentives, organizational structure, and education and training contribute to effective RM.We group these elements into two concepts:RM technical capability and RM social support capability and propose that these nine elements positively impact RM performance. We develop scales to measure our constructs and collect responses in the hotel industry.Our survey yields interesting results.In line with expectations, we find evidence that forecasting and organizational focus positively impact RM performance. On the other hand, the results show evidence that improved organizational structure negatively impacts RM performance.We provide a few explanations for this non-intuitive result and proposals for future research.