Matches in SemOpenAlex for { <https://semopenalex.org/work/W2053737968> ?p ?o ?g. }
- W2053737968 endingPage "62" @default.
- W2053737968 startingPage "31" @default.
- W2053737968 abstract "Recent years have seen great revenue management successes, notably in the airline, hotel, and car rental businesses. Currently, an increasing number of industries, including manufacturers and retailers, are exploring ways to adopt similar concepts. Software companies are taking an active role in promoting the broadening range of applications. Additionally technological advances, including smart shelves and radio frequency identification (RFID), are removing many of the barriers to extended revenue management. The rapid developments in supply chain planning and revenue management software solutions, scientific models, and industry applications have created a complex picture, which is not yet well understood. It is not evident which scientific models fit which industry applications and which aspects are still missing. The relation between available software solutions and applications as well as scientific models appears equally unclear. The goal of this paper is to help overcome this confusion. To this end, we structure and review three dimensions, namely applications, models, and software. Subsequently, we relate these dimensions to each other and highlight commonalities and discrepancies. This comparison also provides a basis for identifying future research needs." @default.
- W2053737968 created "2016-06-24" @default.
- W2053737968 creator A5017944879 @default.
- W2053737968 creator A5046460995 @default.
- W2053737968 creator A5075868486 @default.
- W2053737968 date "2008-02-13" @default.
- W2053737968 modified "2023-10-18" @default.
- W2053737968 title "Revenue management and demand fulfillment: matching applications, models, and software" @default.
- W2053737968 cites W1520336569 @default.
- W2053737968 cites W1537013696 @default.
- W2053737968 cites W1541848718 @default.
- W2053737968 cites W1572177915 @default.
- W2053737968 cites W181269770 @default.
- W2053737968 cites W1880195279 @default.
- W2053737968 cites W1968379064 @default.
- W2053737968 cites W1974328039 @default.
- W2053737968 cites W1981604825 @default.
- W2053737968 cites W1985232155 @default.
- W2053737968 cites W1993716626 @default.
- W2053737968 cites W2026308543 @default.
- W2053737968 cites W2037522254 @default.
- W2053737968 cites W2047465577 @default.
- W2053737968 cites W2073794815 @default.
- W2053737968 cites W2078645665 @default.
- W2053737968 cites W2086375897 @default.
- W2053737968 cites W2100951624 @default.
- W2053737968 cites W2103736545 @default.
- W2053737968 cites W2114151405 @default.
- W2053737968 cites W2117805572 @default.
- W2053737968 cites W2120017944 @default.
- W2053737968 cites W2122108146 @default.
- W2053737968 cites W2126769627 @default.
- W2053737968 cites W2136087150 @default.
- W2053737968 cites W2141390143 @default.
- W2053737968 cites W2147260289 @default.
- W2053737968 cites W2156240445 @default.
- W2053737968 cites W2157672420 @default.
- W2053737968 cites W2166195232 @default.
- W2053737968 cites W2169927262 @default.
- W2053737968 cites W3022721108 @default.
- W2053737968 cites W3121726435 @default.
- W2053737968 cites W4205794386 @default.
- W2053737968 cites W4206932883 @default.
- W2053737968 cites W4233425818 @default.
- W2053737968 cites W4241205389 @default.
- W2053737968 cites W4247104860 @default.
- W2053737968 cites W4249115679 @default.
- W2053737968 cites W4249581448 @default.
- W2053737968 cites W4254394705 @default.
- W2053737968 cites W74203006 @default.
- W2053737968 doi "https://doi.org/10.1007/s00291-008-0125-8" @default.
- W2053737968 hasPublicationYear "2008" @default.
- W2053737968 type Work @default.
- W2053737968 sameAs 2053737968 @default.
- W2053737968 citedByCount "44" @default.
- W2053737968 countsByYear W20537379682012 @default.
- W2053737968 countsByYear W20537379682013 @default.
- W2053737968 countsByYear W20537379682014 @default.
- W2053737968 countsByYear W20537379682015 @default.
- W2053737968 countsByYear W20537379682016 @default.
- W2053737968 countsByYear W20537379682017 @default.
- W2053737968 countsByYear W20537379682018 @default.
- W2053737968 countsByYear W20537379682019 @default.
- W2053737968 countsByYear W20537379682020 @default.
- W2053737968 countsByYear W20537379682021 @default.
- W2053737968 countsByYear W20537379682023 @default.
- W2053737968 crossrefType "journal-article" @default.
- W2053737968 hasAuthorship W2053737968A5017944879 @default.
- W2053737968 hasAuthorship W2053737968A5046460995 @default.
- W2053737968 hasAuthorship W2053737968A5075868486 @default.
- W2053737968 hasBestOaLocation W20537379682 @default.
- W2053737968 hasConcept C10138342 @default.
- W2053737968 hasConcept C105795698 @default.
- W2053737968 hasConcept C11171543 @default.
- W2053737968 hasConcept C112930515 @default.
- W2053737968 hasConcept C116834253 @default.
- W2053737968 hasConcept C144133560 @default.
- W2053737968 hasConcept C15744967 @default.
- W2053737968 hasConcept C165064840 @default.
- W2053737968 hasConcept C195094911 @default.
- W2053737968 hasConcept C195487862 @default.
- W2053737968 hasConcept C199360897 @default.
- W2053737968 hasConcept C2777904410 @default.
- W2053737968 hasConcept C2781140086 @default.
- W2053737968 hasConcept C2781386248 @default.
- W2053737968 hasConcept C33923547 @default.
- W2053737968 hasConcept C41008148 @default.
- W2053737968 hasConcept C59822182 @default.
- W2053737968 hasConcept C86803240 @default.
- W2053737968 hasConcept C91887955 @default.
- W2053737968 hasConceptScore W2053737968C10138342 @default.
- W2053737968 hasConceptScore W2053737968C105795698 @default.
- W2053737968 hasConceptScore W2053737968C11171543 @default.
- W2053737968 hasConceptScore W2053737968C112930515 @default.
- W2053737968 hasConceptScore W2053737968C116834253 @default.
- W2053737968 hasConceptScore W2053737968C144133560 @default.
- W2053737968 hasConceptScore W2053737968C15744967 @default.
- W2053737968 hasConceptScore W2053737968C165064840 @default.