DECISION SUPPORT FOR SUPPLIER SELECTION AND HOTEL REVENUE MANAGEMENT
This dissertation focuses on the general theme of decision support for the area of hotel revenue management (RM), as well as supply chain management. In the first essay, I explore two research questions: How should the sophistication of hotel RM be measured? And what are the internal and external indirect drivers of the level of sophistication of hotel RM? The level of sophistication is based on decision tree tests, which include four steps: data capture, data foundation, rigor of analysis, and techniques used, including pricing, inventory allocation, and product configuration. Via an empirical analysis, I determine five positive drivers of hotel RM sophistication. My study provides hoteliers with guidelines for determining whether their RM system is at the right level of sophistication given their operating environment, and provides a roadmap for hotels to enhance RM sophistication through efforts to improve both internal and external drivers. The second essay discusses a supplier selection problem with business volume discounts. I develop a set of structural equations using predictive global sensitivity analysis, which can help managers make strategic order allocation decisions efficiently.