LEADER 03640nam 2200577 450 001 9910554218903321 005 20211116195609.0 010 $a1-5036-1426-3 024 7 $a10.1515/9781503614260 035 $a(CKB)4940000000599803 035 $a(DE-B1597)586110 035 $a(DE-B1597)9781503614260 035 $a(MiAaPQ)EBC6562770 035 $a(Au-PeEL)EBL6562770 035 $a(OCoLC)1247661152 035 $a(OCoLC)1257324883 035 $a(PPN)263622347 035 $a(EXLCZ)994940000000599803 100 $a20211116d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPricing and revenue optimization /$fRobert L. Phillips 205 $aSecond edition. 210 1$aStanford, California :$cStanford Business Books,$d[2021] 210 4$dİ2021 215 $a1 online resource (472 p.) 327 $tFrontmatter -- $tContents -- $tPreface to the Second Edition -- $t1 Background -- $t2 Introduction to Pricing and Revenue Optimization -- $t3 Models of Demand -- $t4 Estimating Price Response -- $t5 Optimization -- $t6 Price Differentiation -- $t7 Pricing with Constrained Supply -- $t8 Revenue Management -- $t9 Capacity Allocation -- $t10 Network Manageme -- $t11 Overbooking -- $t12 Markdown Management -- $t13 Customized Pricing -- $t14 Behavioral Economics and Pricing -- $tAppendix A optimization -- $tAppendix B probability -- $tReferences -- $tIndex 330 $aThis book offers the first introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of "yield management" in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager. With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revenue optimization invaluable. With updates to every chapter, this second edition covers topics such as estimation of price-response functions and machine-learning-based price optimization. New discussions of applications of dynamic pricing and revenue management by companies such as Amazon, Uber, and Disney, and in industries such as sports, theater, and electric power, are also included. In addition, the book provides current coverage of important applications such as revenue management, markdown management, customized pricing, and the behavioral economics of pricing. 606 $aPricing 606 $aRevenue management 610 $aPricing. 610 $amarkdowns. 610 $amarketing. 610 $apricing optimization. 610 $apromotions. 610 $arevenue management. 610 $asegmentation. 615 0$aPricing. 615 0$aRevenue management. 676 $a658.1554 700 $aPhillips$b Robert L$g(Robert Lewis),$f1955-$0157351 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910554218903321 996 $aPricing and revenue optimization$92818749 997 $aUNINA