TABLE OF CONTENTS
Volume 5, Issue 2 (July 2006)
Editorial
Top of pageResearch Papers
Modeling high demand variance in dynamic programming
Darius Walczak
J Revenue Pricing Manag 5: 94-101; doi:10.1057/palgrave.rpm.5160029
Developing performance metrics and detecting outliers for management control
Amy Bock Partridge
J Revenue Pricing Manag 5: 102-108; doi:10.1057/palgrave.rpm.5160030
Extracting the most benefit from a revenue management solution implementation
Brian Wishlinski
J Revenue Pricing Manag 5: 109-117; doi:10.1057/palgrave.rpm.5160028
Improving revenue through fare rationalization and a new business process between revenue management and sales
Karolin Fellner, Royce Kallesen, Antonio Ruggiero and Benson Yuen
J Revenue Pricing Manag 5: 118-127; doi:10.1057/palgrave.rpm.5160027
Implementing an O&D revenue management solution
Clay Cutshall and Jens Weisbrodt
J Revenue Pricing Manag 5: 128-134; doi:10.1057/palgrave.rpm.5160032
A cruise ship is not a floating hotel
Neil Biehn
J Revenue Pricing Manag 5: 135-142; doi:10.1057/palgrave.rpm.5160034
From theory to practice: Real-world applications of scientific pricing across different industries
Theodore Valkov
J Revenue Pricing Manag 5: 143-151; doi:10.1057/palgrave.rpm.5160037
Scientific charge master rate optimisation, knowing things that can go wrong and how to avoid them
Robert Christenson
J Revenue Pricing Manag 5: 152-156; doi:10.1057/palgrave.rpm.5160036
Revenue management in the airline industry: From gumball dispensers to rocket science
E Andrew Boyd
J Revenue Pricing Manag 5: 157-166; doi:10.1057/palgrave.rpm.5160031
Future of Revenue Management
Adopting a customer view: Moving from yielding to pricing
John M Riddell
J Revenue Pricing Manag 5: 167-169; doi:10.1057/palgrave.rpm.5160033
