| 000 | 01848nam a22003975i 4500 | ||
|---|---|---|---|
| 001 | 978-3-8349-6184-6 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083820.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 110401s2011 gw | s |||| 0|eng d | ||
| 020 |
_a9783834961846 _9978-3-8349-6184-6 |
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| 024 | 7 |
_a10.1007/978-3-8349-6184-6 _2doi |
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| 050 | 4 | _aHD30.23 | |
| 072 | 7 |
_aKJT _2bicssc |
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| 072 | 7 |
_aKJMD _2bicssc |
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| 072 | 7 |
_aBUS049000 _2bisacsh |
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| 082 | 0 | 4 |
_a658.40301 _223 |
| 100 | 1 |
_aChrist, Steffen. _eauthor. |
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| 245 | 1 | 0 |
_aOperationalizing Dynamic Pricing Models _h[electronic resource] : _bBayesian Demand Forecasting and Customer Choice Modeling for Low Cost Carriers / _cby Steffen Christ. |
| 264 | 1 |
_aWiesbaden : _bGabler, _c2011. |
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| 300 |
_aXXVII, 351p. 116 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 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 | _uhttp://dx.doi.org/10.1007/978-3-8349-6184-6 |
| 912 | _aZDB-2-SBE | ||
| 999 |
_c108751 _d108751 |
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