000			01802nam a22003735i 4500
001			u377121
003			SIRSI
005			20160812084447.0
007			cr nn 008mamaa
008			110401s2011 gw | s |||| 0|eng d
020			_a9783834961846 _9978-3-8349-6184-6
040			_cMX-MeUAM
050		4	_aHD30.23
082	0	4	_a658.40301 _223
100	1		_aChrist, Steffen. _eauthor.
245	1	0	_aOperationalizing Dynamic Pricing Models _h[recurso electrónico] : _bBayesian Demand Forecasting and Customer Choice Modeling for Low Cost Carriers / _cby Steffen Christ.
264		1	_aWiesbaden : _bGabler, _c2011.
300			_aXXVII, 351p. 116 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
520			_aDynamic Pricing of services has become the norm for many young service industries – especially in today’s volatile markets. Steffen Christ shows how theoretic optimization models can be operationalized by employing self-learning strategies to construct relevant input variables, such as latent demand and customer price sensitivity. He proves that the development of the necessary forecasting models is indeed possible, i.e., through the usage of real-time data of online sales channels.
650		0	_aEconomics.
650	1	4	_aEconomics/Management Science.
650	2	4	_aOperations Research/Decision Theory.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783834927491
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-8349-6184-6
596			_a19
942			_cLIBRO_ELEC
999			_c205001 _d205001