Hotel daily occupancy forecasting with competitive sets: a recursive algorithm

Purpose – This paper aims to improve the accuracy of hotel daily occupancy forecasts – an essential element in the revenue management cycle – by proposing and testing a novel approach. The authors add the hotel competitive-set’s predicted occupancy as an input of the individual property forecast and...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	International journal of contemporary hospitality management Ročník 28; číslo 2; s. 267 - 285
Hlavní autori:	Schwartz, Zvi, Uysal, Muzaffer, Webb, Timothy, Altin, Mehmet
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bradford Emerald Group Publishing Limited 08.02.2016
Predmet:	Accuracy Algorithms Brand image in tourism Competition Confidentiality Customer services Forecasting Hospitality industry Hotels & motels Information sharing Inventory Management decisions Market segments Occupancy rates Optimization Pricing policies Revenue management Time series Tourism & hospitality Tourism & hospitality management/marketing Travel Trends Vacations Hotels Accuracy Revenue management Competitive sets Forecasting
ISSN:	0959-6119, 1757-1049
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	Purpose – This paper aims to improve the accuracy of hotel daily occupancy forecasts – an essential element in the revenue management cycle – by proposing and testing a novel approach. The authors add the hotel competitive-set’s predicted occupancy as an input of the individual property forecast and, using a recursive approach, demonstrate that there is a potential for significant reduction in the forecasting error. Design/methodology/approach – The paper outlines the theoretical justification and the mechanism for this new approach. It applies a simulation for exploring the potential to improve the accuracy of the hotel’s daily occupancy forecasts, as well as analysis of data from a field study of two hotel clusters’ daily forecasts to provide empirical support to the procedure’s viability. Findings – The results provide strong support to the notion that the accuracy could be enhanced. Incorporating the competitive set prediction by using either a genetic algorithm or the simple linear regression model improves the accuracy of the forecast using either the absolute or the absolute percentage as the error measure. Research limitations/implications – The proliferation of data sharing practices in the hotel industry reveals that the timely data sharing-aggregation-dissemination mechanism required for implementing this forecasting paradigm is feasible. Originality/value – Given the crucial role of accurate forecasts in revenue management and recent changes in the hotels’ operating environment which made it harder to achieve or maintain high levels of accuracy, this study’s proposed novel approach has the potential to make a unique contribution in the realm of forecasting daily occupancies.
AbstractList	Purpose - This paper aims to improve the accuracy of hotel daily occupancy forecasts - an essential element in the revenue management cycle - by proposing and testing a novel approach. The authors add the hotel competitive-set's predicted occupancy as an input of the individual property forecast and, using a recursive approach, demonstrate that there is a potential for significant reduction in the forecasting error. Design/methodology/approach - The paper outlines the theoretical justification and the mechanism for this new approach. It applies a simulation for exploring the potential to improve the accuracy of the hotel's daily occupancy forecasts, as well as analysis of data from a field study of two hotel clusters' daily forecasts to provide empirical support to the procedure's viability. Findings - The results provide strong support to the notion that the accuracy could be enhanced. Incorporating the competitive set prediction by using either a genetic algorithm or the simple linear regression model improves the accuracy of the forecast using either the absolute or the absolute percentage as the error measure. Research limitations/implications - The proliferation of data sharing practices in the hotel industry reveals that the timely data sharing-aggregation-dissemination mechanism required for implementing this forecasting paradigm is feasible. Originality/value - Given the crucial role of accurate forecasts in revenue management and recent changes in the hotels' operating environment which made it harder to achieve or maintain high levels of accuracy, this study's proposed novel approach has the potential to make a unique contribution in the realm of forecasting daily occupancies. Purpose – This paper aims to improve the accuracy of hotel daily occupancy forecasts – an essential element in the revenue management cycle – by proposing and testing a novel approach. The authors add the hotel competitive-set’s predicted occupancy as an input of the individual property forecast and, using a recursive approach, demonstrate that there is a potential for significant reduction in the forecasting error. Design/methodology/approach – The paper outlines the theoretical justification and the mechanism for this new approach. It applies a simulation for exploring the potential to improve the accuracy of the hotel’s daily occupancy forecasts, as well as analysis of data from a field study of two hotel clusters’ daily forecasts to provide empirical support to the procedure’s viability. Findings – The results provide strong support to the notion that the accuracy could be enhanced. Incorporating the competitive set prediction by using either a genetic algorithm or the simple linear regression model improves the accuracy of the forecast using either the absolute or the absolute percentage as the error measure. Research limitations/implications – The proliferation of data sharing practices in the hotel industry reveals that the timely data sharing-aggregation-dissemination mechanism required for implementing this forecasting paradigm is feasible. Originality/value – Given the crucial role of accurate forecasts in revenue management and recent changes in the hotels’ operating environment which made it harder to achieve or maintain high levels of accuracy, this study’s proposed novel approach has the potential to make a unique contribution in the realm of forecasting daily occupancies.
Author	Webb, Timothy Altin, Mehmet Uysal, Muzaffer Schwartz, Zvi
Author_xml	– sequence: 1 givenname: Zvi surname: Schwartz fullname: Schwartz, Zvi organization: Department of Hotel Restaurant and Institutional Management, Alfred Lerner College of Business and Economics, University of Delaware, Newark, Delaware, USA – sequence: 2 givenname: Muzaffer surname: Uysal fullname: Uysal, Muzaffer organization: Department of Hospitality and Tourism Management, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA – sequence: 3 givenname: Timothy surname: Webb fullname: Webb, Timothy organization: Department of Hospitality and Tourism Management, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA – sequence: 4 givenname: Mehmet surname: Altin fullname: Altin, Mehmet organization: Department of Hospitality and Tourism Management, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA
BookMark	eNp9kUFPwyAUx4mZidv0C3gi8VwFWgp4M4u6mamX3RtK6WRpSwWq2beXOi8as9MLL7__e3k_ZmDS2U4DcInRNcaI36yeFsvnBKOEIJwliCJ2AqaYURZ7mZiAKRJUJDnG4gzMvN8hhGmO0RS8LG3QDaykafbQKjX0slN7WFunlfTBdFv4acIbVLbtdTDBfGjodfC3UMKIDM6PHdlsrYtYew5Oa9l4ffFT52DzcL9ZLJP16-NqcbdOVMrykFSc8pRwRZmiiucZR4gThUueKlFWZYl0qQXTBCtSEs4wqTir8joVkqkxOgdXh7G9s--D9qHY2cF1cWNBcLyeohRlx6ioRqQkz9hIkQOlnPXe6bronWml2xcYFaPc4lvu-BrlFqPcGOJ_QsoEGYztgosqj0fxIapb7WRT_b_u11-mX2CDjp0
CitedBy_id	crossref_primary_10_1108_JHTI_05_2021_0124 crossref_primary_10_1177_13548166221126572 crossref_primary_10_1177_1354816619891318 crossref_primary_10_1177_1096348020919490 crossref_primary_10_1177_1354816619884800 crossref_primary_10_1108_IJCHM_01_2023_0088 crossref_primary_10_1016_j_tourman_2023_104792 crossref_primary_10_3390_pr9101713 crossref_primary_10_3390_en17133080 crossref_primary_10_3390_forecast3030037 crossref_primary_10_1002_jtr_2193 crossref_primary_10_1177_1938965517730318 crossref_primary_10_1177_13548166231201199 crossref_primary_10_1016_j_engappai_2024_109841 crossref_primary_10_1016_j_ijhm_2024_103895 crossref_primary_10_1109_ACCESS_2020_2980501 crossref_primary_10_1177_19389655211050398 crossref_primary_10_1016_j_ijhm_2016_04_006 crossref_primary_10_1057_s41272_023_00445_7 crossref_primary_10_3390_forecast3040054 crossref_primary_10_1108_IJCHM_10_2017_0644 crossref_primary_10_1016_j_annals_2018_12_009 crossref_primary_10_1108_TR_07_2022_0367 crossref_primary_10_1016_j_ijhm_2021_103038 crossref_primary_10_1016_j_engappai_2020_103960 crossref_primary_10_1177_10963480231182965 crossref_primary_10_1177_13548166251360295 crossref_primary_10_3390_su10124351 crossref_primary_10_1080_19401493_2021_2001572 crossref_primary_10_1108_IJCHM_05_2017_0251 crossref_primary_10_20867_thm_29_1_3 crossref_primary_10_1016_j_ijhm_2023_103455 crossref_primary_10_1108_IJCHM_12_2021_1505 crossref_primary_10_1177_19389655211020254 crossref_primary_10_1108_TR_10_2019_0406 crossref_primary_10_1016_j_ijhm_2017_12_009 crossref_primary_10_3390_su12187334 crossref_primary_10_1016_j_ijhm_2019_102332 crossref_primary_10_1057_s41272_022_00389_4 crossref_primary_10_1080_13683500_2021_1999397 crossref_primary_10_1108_IJCHM_06_2020_0629 crossref_primary_10_1016_j_ijhm_2020_102590 crossref_primary_10_1016_j_enbuild_2021_110791 crossref_primary_10_7717_peerj_cs_2473 crossref_primary_10_1002_jtr_2416 crossref_primary_10_1016_j_ijhm_2016_07_003 crossref_primary_10_1016_j_enbuild_2019_02_030 crossref_primary_10_1057_s41272_024_00494_6
Cites_doi	10.1016/j.annals.2010.05.003 10.1016/0169-2070(90)90028-A 10.1300/J073v16n02_06 10.1300/J073v17n02_04 10.1016/S0010-8804(01)80045-8 10.7551/mitpress/3927.001.0001 10.1057/rpm.2009.42 10.1007/b139000 10.1177/004728750003900210 10.1177/109634809001400219 10.1177/004728759703600102 10.1057/palgrave.jors.2600770 10.1177/1938965508328716 10.1177/0047287508321199 10.1057/palgrave.rpm.5160106 10.1177/001088049703800222 10.1057/palgrave.rpm.5170015 10.1016/j.ejor.2009.06.006 10.3386/w18391 10.1300/J073v16n04_04 10.1108/09596119810232301 10.1504/IJRM.2011.038619 10.1016/S0261-5177(98)00053-3 10.1300/J162v07n04_01 10.1287/mnsc.1090.1125 10.1108/17579881211264486 10.1016/S0169-2070(02)00011-0 10.1016/S0020-0255(00)00082-7 10.1109/2.294849 10.1109/91.868945 10.1057/palgrave.rpm.5160082 10.1057/palgrave.rpm.5170140 10.1007/s101080050005 10.1016/j.ijhm.2008.08.001 10.1080/07350015.1995.10524599 10.1126/science.8346439 10.1016/j.ijforecast.2010.10.004 10.1177/1096348008321366 10.1002/for.928 10.1016/j.mcm.2007.03.008 10.1016/j.tourman.2006.08.003
ContentType	Journal Article
Copyright	Emerald Group Publishing Limited Emerald Group Publishing Limited 2016
Copyright_xml	– notice: Emerald Group Publishing Limited – notice: Emerald Group Publishing Limited 2016
DBID	AAYXX CITATION 0U~ 1-H 7WY 7WZ 7XB AFKRA BENPR BEZIV CCPQU DWQXO F~G K6~ L.- L.0 M0C PHGZM PHGZT PKEHL PQBIZ PQEST PQQKQ PQUKI Q9U
DOI	10.1108/IJCHM-10-2014-0507
DatabaseName	CrossRef Global News & ABI/Inform Professional Trade PRO ABI/INFORM Collection ABI/INFORM Global (PDF only) ProQuest Central (purchase pre-March 2016) ProQuest Central UK/Ireland ProQuest Central Business Premium Collection ProQuest One ProQuest Central Korea ABI/INFORM Global (Corporate) ProQuest Business Collection ABI/INFORM Professional Advanced ABI/INFORM Professional Standard ABI/INFORM Global ProQuest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Business ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central Basic
DatabaseTitle	CrossRef Business Premium Collection ABI/INFORM Global (Corporate) ProQuest One Business ABI/INFORM Global ProQuest Central Basic ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition ProQuest One Community College Trade PRO ProQuest Business Collection ABI/INFORM Complete ProQuest Central Global News & ABI/Inform Professional ABI/INFORM Professional Advanced ProQuest One Academic UKI Edition ABI/INFORM Professional Standard ProQuest Central Korea ProQuest One Academic ProQuest Central (New) ProQuest One Academic (New)
DatabaseTitleList	Business Premium Collection Business Premium Collection
Database_xml	– sequence: 1 dbid: 7WY name: ABI/INFORM Collection url: https://www.proquest.com/abicomplete sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Economics
EISSN	1757-1049
EndPage	285
ExternalDocumentID	3931554901 10_1108_IJCHM_10_2014_0507 10.1108/IJCHM-10-2014-0507
GroupedDBID	0R 1WG 29J 3FY 3V. 4.4 5GY 5VS 70U 7WY 8R4 8R5 9E0 9F- AADTA AADXL AAGBP AAMCF AAPBV AAUDR ABIJV ABIVO ABSDC ACGFS ACHQT ACMTK ADOMW AEBZA AEDOK AEUCW AFKRA AJEBP ALMA_UNASSIGNED_HOLDINGS APPLU ASMFL ATGMP AUCOK AVELQ BENPR BEZIV BG BLEHN BOGZL BPHCQ BUONS CAG CS3 DU5 DWQXO EBS EJD FNNZZ GEA GEB GEC GEI GMM GMN GMX GQ. GROUPED_ABI_INFORM_COMPLETE H13 HZ IJT IPNFZ J1Y JI- JL0 K6 M0C MS O9- P2P PQBIZ PQEST PQQKQ PQUKI PROAC Q2X RIG RWL SLOBJ TAE TEM TET TFK TGG TMD TMF TMI TMK TMT U5U V1G WZ Z11 Z12 Z21 ZYZAG .WZ 0R~ AAKOT AAPSD AAYXX ABEAN ABJNI ABXQL ABYQI ACGFO ADFRT ADIOT ADWNT AEMMR AEQBN AETHF AFFHD AFNZV AGTVX AGZLY AHMHQ AHZWS AIAFM AILOG AJFKA ALEWU AODMV CCPQU CITATION EOXHF HZ~ K6~ M42 MS~ PHGZM PHGZT SCAQC SDURG YK4 0U~ 1-H 7XB AFNTC L.- L.0 PKEHL Q9U
ID	FETCH-LOGICAL-c376t-d858328c57c5c86480082c1b83c9bdbb0ebe97e21c2b28712d87d6f39a7c8583
IEDL.DBID	TMT
ISICitedReferencesCount	54
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000374141400003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0959-6119
IngestDate	Mon Jun 30 13:55:03 EDT 2025 Mon Jun 30 13:55:39 EDT 2025 Sat Nov 29 07:38:41 EST 2025 Tue Nov 18 21:08:29 EST 2025 Tue Nov 23 15:39:26 EST 2021
IsPeerReviewed	true
IsScholarly	true
Issue	2
Keywords	Hotels Accuracy Revenue management Competitive sets Forecasting
Language	English
License	https://www.emerald.com/insight/site-policies
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c376t-d858328c57c5c86480082c1b83c9bdbb0ebe97e21c2b28712d87d6f39a7c8583
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
PQID	1759326474
PQPubID	29798
PageCount	19
ParticipantIDs	proquest_journals_2105050304 proquest_journals_1759326474 crossref_citationtrail_10_1108_IJCHM_10_2014_0507 crossref_primary_10_1108_IJCHM_10_2014_0507 emerald_primary_10_1108_IJCHM-10-2014-0507
PublicationCentury	2000
PublicationDate	2016-02-08
PublicationDateYYYYMMDD	2016-02-08
PublicationDate_xml	– month: 02 year: 2016 text: 2016-02-08 day: 08
PublicationDecade	2010
PublicationPlace	Bradford
PublicationPlace_xml	– name: Bradford
PublicationTitle	International journal of contemporary hospitality management
PublicationYear	2016
Publisher	Emerald Group Publishing Limited
Publisher_xml	– name: Emerald Group Publishing Limited
References	key2020121820480784900_b25 key2020121820480784900_b24 key2020121820480784900_b23 key2020121820480784900_b22 key2020121820480784900_b21 key2020121820480784900_b20 key2020121820480784900_b8 key2020121820480784900_b9 key2020121820480784900_b4 key2020121820480784900_b29 key2020121820480784900_b5 key2020121820480784900_b28 key2020121820480784900_b6 key2020121820480784900_b27 key2020121820480784900_b7 key2020121820480784900_b26 key2020121820480784900_b50 key2020121820480784900_b14 key2020121820480784900_b58 key2020121820480784900_b13 key2020121820480784900_b57 key2020121820480784900_b12 key2020121820480784900_b56 key2020121820480784900_b11 key2020121820480784900_b55 key2020121820480784900_b10 key2020121820480784900_b54 key2020121820480784900_b53 key2020121820480784900_b52 key2020121820480784900_b51 key2020121820480784900_b19 key2020121820480784900_b18 key2020121820480784900_b17 key2020121820480784900_b16 key2020121820480784900_b15 key2020121820480784900_b47 key2020121820480784900_b46 key2020121820480784900_b45 key2020121820480784900_b44 key2020121820480784900_b43 key2020121820480784900_b42 key2020121820480784900_b41 key2020121820480784900_b40 key2020121820480784900_b49 key2020121820480784900_b48 key2020121820480784900_b1 key2020121820480784900_b2 key2020121820480784900_b3 key2020121820480784900_b36 key2020121820480784900_b35 key2020121820480784900_b34 key2020121820480784900_b33 key2020121820480784900_b32 key2020121820480784900_b31 key2020121820480784900_b30 key2020121820480784900_b39 key2020121820480784900_b38 key2020121820480784900_b37
References_xml	– ident: key2020121820480784900_b46 doi: 10.1016/j.annals.2010.05.003 – ident: key2020121820480784900_b16 doi: 10.1016/0169-2070(90)90028-A – ident: key2020121820480784900_b1 – ident: key2020121820480784900_b29 doi: 10.1300/J073v16n02_06 – ident: key2020121820480784900_b23 doi: 10.1300/J073v17n02_04 – ident: key2020121820480784900_b53 doi: 10.1016/S0010-8804(01)80045-8 – ident: key2020121820480784900_b5 – ident: key2020121820480784900_b8 – ident: key2020121820480784900_b38 doi: 10.7551/mitpress/3927.001.0001 – ident: key2020121820480784900_b57 doi: 10.1057/rpm.2009.42 – ident: key2020121820480784900_b50 doi: 10.1007/b139000 – ident: key2020121820480784900_b30 doi: 10.1177/004728750003900210 – ident: key2020121820480784900_b2 doi: 10.1177/109634809001400219 – ident: key2020121820480784900_b20 – ident: key2020121820480784900_b44 doi: 10.1177/004728759703600102 – ident: key2020121820480784900_b25 doi: 10.1057/palgrave.jors.2600770 – ident: key2020121820480784900_b35 – ident: key2020121820480784900_b12 doi: 10.1177/1938965508328716 – ident: key2020121820480784900_b45 doi: 10.1177/0047287508321199 – ident: key2020121820480784900_b58 doi: 10.1057/palgrave.rpm.5160106 – ident: key2020121820480784900_b56 – ident: key2020121820480784900_b11 doi: 10.1177/001088049703800222 – ident: key2020121820480784900_b10 – ident: key2020121820480784900_b31 – ident: key2020121820480784900_b34 doi: 10.1057/palgrave.rpm.5170015 – ident: key2020121820480784900_b39 doi: 10.1016/j.ejor.2009.06.006 – ident: key2020121820480784900_b21 – ident: key2020121820480784900_b36 – ident: key2020121820480784900_b14 doi: 10.3386/w18391 – ident: key2020121820480784900_b13 doi: 10.1300/J073v16n04_04 – ident: key2020121820480784900_b28 doi: 10.1108/09596119810232301 – ident: key2020121820480784900_b32 doi: 10.1504/IJRM.2011.038619 – ident: key2020121820480784900_b3 – ident: key2020121820480784900_b9 doi: 10.1016/S0261-5177(98)00053-3 – ident: key2020121820480784900_b17 – ident: key2020121820480784900_b43 doi: 10.1300/J162v07n04_01 – ident: key2020121820480784900_b24 doi: 10.1287/mnsc.1090.1125 – ident: key2020121820480784900_b40 doi: 10.1108/17579881211264486 – ident: key2020121820480784900_b52 doi: 10.1016/S0169-2070(02)00011-0 – ident: key2020121820480784900_b42 doi: 10.1016/S0020-0255(00)00082-7 – ident: key2020121820480784900_b48 doi: 10.1109/2.294849 – ident: key2020121820480784900_b4 doi: 10.1109/91.868945 – ident: key2020121820480784900_b7 doi: 10.1057/palgrave.rpm.5160082 – ident: key2020121820480784900_b26 – ident: key2020121820480784900_b41 – ident: key2020121820480784900_b22 – ident: key2020121820480784900_b51 doi: 10.1057/palgrave.rpm.5170140 – ident: key2020121820480784900_b37 – ident: key2020121820480784900_b6 doi: 10.1007/s101080050005 – ident: key2020121820480784900_b33 doi: 10.1016/j.ijhm.2008.08.001 – ident: key2020121820480784900_b15 doi: 10.1080/07350015.1995.10524599 – ident: key2020121820480784900_b18 doi: 10.1126/science.8346439 – ident: key2020121820480784900_b19 doi: 10.1016/j.ijforecast.2010.10.004 – ident: key2020121820480784900_b47 doi: 10.1177/1096348008321366 – ident: key2020121820480784900_b49 doi: 10.1002/for.928 – ident: key2020121820480784900_b55 doi: 10.1016/j.mcm.2007.03.008 – ident: key2020121820480784900_b27 – ident: key2020121820480784900_b54 doi: 10.1016/j.tourman.2006.08.003
SSID	ssj0015610
Score	2.3132634
Snippet	Purpose – This paper aims to improve the accuracy of hotel daily occupancy forecasts – an essential element in the revenue management cycle – by proposing and... Purpose - This paper aims to improve the accuracy of hotel daily occupancy forecasts - an essential element in the revenue management cycle - by proposing and... Purpose – This paper aims to improve the accuracy of hotel daily occupancy forecasts – an essential element in the revenue management cycle – by proposing and...
SourceID	proquest crossref emerald
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	267
SubjectTerms	Accuracy Algorithms Brand image in tourism Competition Confidentiality Customer services Forecasting Hospitality industry Hotels & motels Information sharing Inventory Management decisions Market segments Occupancy rates Optimization Pricing policies Revenue management Time series Tourism & hospitality Tourism & hospitality management/marketing Travel Trends Vacations
SummonAdditionalLinks	– databaseName: ABI/INFORM Global dbid: M0C link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3NS8MwFA86Bb34LU6n5OBJKcu6tEm9iAzHFDY87LBbyddUqOtcq-B_b17abipjF4-lCSn9Je_zl_cQuqRAtdDGeIGMfI9qKeyR8seeEWGgQos5Y8I1m2CDAR-Noqcy4JaVtMpKJjpBrVMFMfKmVXNgalBGb6fvHnSNguxq2UJjHW2AZQOUvj7pzLMIYBsUtfYi6yK1ourSDOHNh8dOrw8yyCpA6pEA2sn-UEx_bucuJLRTO93d_37wHtopDU58V-yQfbRmJgdoq7qPnB2iQS_NTYK1eE2-cOqKDluBi60xa5TIgBWNIViLlbOwHdUIZybPbrDAM4jWAwEei-TZLp6_vB2hYfd-2Ol5ZZcFT1nhknuaB_ZUcxUwFSgeUg5WgWpJ3laR1FISC3PEjN9SvgT3ytec6XDcjgRTMPUY1SbpxJwgbEKoH2baTCpKibaOXCAiThWRGrKHpI5a1R-OVVmBHBphJLHzRAiPHSrwBKjEgEodXc_nTIv6GytHX5XALR_8C_A6alTAxeXBzeIFaktfWwc5gAo6hJ6unn2Gtu1CBb-bN1Atn32Yc7SpPvPXbHbhtuk3M4bqlA priority: 102 providerName: ProQuest
Title	Hotel daily occupancy forecasting with competitive sets: a recursive algorithm
URI	https://www.emerald.com/insight/content/doi/10.1108/IJCHM-10-2014-0507/full/html https://www.proquest.com/docview/1759326474 https://www.proquest.com/docview/2105050304
Volume	28
WOSCitedRecordID	wos000374141400003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVMCB databaseName: Emerald Management 120 customDbUrl: eissn: 1757-1049 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0015610 issn: 0959-6119 databaseCode: TMT dateStart: 19940101 isFulltext: true titleUrlDefault: https://www.emerald.com/insight providerName: Emerald – providerCode: PRVPQU databaseName: ABI/INFORM Collection customDbUrl: eissn: 1757-1049 dateEnd: 20241212 omitProxy: false ssIdentifier: ssj0015610 issn: 0959-6119 databaseCode: 7WY dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.proquest.com/abicomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ABI/INFORM global customDbUrl: eissn: 1757-1049 dateEnd: 20241212 omitProxy: false ssIdentifier: ssj0015610 issn: 0959-6119 databaseCode: M0C dateStart: 20010101 isFulltext: true titleUrlDefault: https://search.proquest.com/abiglobal providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1757-1049 dateEnd: 20241212 omitProxy: false ssIdentifier: ssj0015610 issn: 0959-6119 databaseCode: BENPR dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3di9NAEB_O80Bf_DgVq2fZB588QrfpJrvxTUtLFVqKFK4-hf3qXSFtpckd-N87s0kqJ0UQfMuSTULma38zOzML8F5QqoXzPkpMFkfCGY0qFa8ir9PEpshzKXU4bELOZmq5zOYnMG9rYUJaZR2OCXZ6vS3JSe1R4jZa4UPDATq95svX4WRKdgQXMRFxRDY9iln3bqpNEYwyJ01dTBeHbQUCC3XzvQx9pn7WVtEcfdm9leqPct3fJjusQ-On__8PnsGTBpOyT7UQPYcTvz2HR23JcvkCZpNd5Qvm9Lr4yXahLzHaZIZ411tdUuI0o3guswGEh2wkVvqq_Mg021NAn3LkmS6ud3uctnkJi_FoMZxEzUEMkUX7U0VOJaj4yibSJlalQhFwsH2jBjYzzhiOkpBJH_dtbMgDi52SLl0NMi0tPfoKTre7rX8NzKfUYswPpLFCcIe-XqIzJSw3jjYYeQf6Lc1z2zQpp7Myijw4K1zlgWQ0IpLlRLIOXB6e-VG36Pjr7A8Nd45PvseNDly03M4b3S5zBFwEeoUUR2-j2CXUZIeLN__yqbfwGK_rhHB1AafV_ta_gzN7V63LfRceyKvvXXj4eTSbf8PRlA-7QbR_AfqZ-DI
linkProvider	Emerald
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LT9tAEB5BWgku0BaqplC6B7iALBxn7V0jIVSFooRHxCEHbta-oEhpEmIXxI_iPzKztnkJcePQo2WvrfV889p5AaxzSrWwzgWxTqOAW62QpaLzwKkkNgnSXAjlh02Ifl-enaWnM3BX18JQWmUtE72gtmNDZ-TbqObI1OCC702uApoaRdHVeoRGCYsjd3uDLlu-29tH-m5E0cHvQacbVFMFAoPMVARWxohiaWJhYiMTLkkLmpaWbZNqq3WI20qFi1om0uRORFYKm5y3UyUMLcXXzsIHzpE7KFMw7DwELcgUKVv7peiRtdK6RieU273DTveERB7qWx6EMU2vfaIHXxQDPyoEr-UOFv-z__MJFipzmv0q8f8ZZtzoC8zV1db5EvS748INmVWXw1s29i2VUZ0wNNWdUTnlfDM6imbG-w8-kYrlrsh3mGJTikVQej9Twwvca_Hn7zIM3mM3X6ExGo_cN2Auoe5ori20QeJbdFNjlUpuQm0pNho2oVUTNDNVf3Ua8zHMvJ8VysyDgK4IBBmBoAlbD2smZXeRN5_erHDy-sPP8NWE1RonWSWW8uwRJK_eRvc_pv5AIf_-9uqfMNcdnBxnx73-0QrM40fLTHa5Co1i-s_9gI_murjMp2ueQxhk74y4ezwlRdA
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LT9tAEB5RWhUulLYgUmjZQ3tpZcV21t41EkIoNEqgjThw4GbtK4AUEogNFT-Nf8fM2oa2Qtw4cLTstbXeb147384AfOVEtbDOBYnO4oBbrVCk4lHgVJqYFNdcCOWbTYjhUB4fZ4dzcNuchSFaZaMTvaK2U0N75G00c-RqcMHbo5oWcbjX27m4DKiDFGVam3YaFUQO3M0fDN-K7cEervW3OO79POr2g7rDQGBQsMrAygQRLU0iTGJkyiVZRBNp2TGZtlqHOMVMuDgysabQIrZS2HTUyZQwNBRf-wpeC45Wk1iDYfc-gUFuSVXmL8PoLMqa8zqhbA_2u_3fpP7Q9vIgTKiT7V828b-DwQ_GwVu83rsX_K-WYal2s9luJRfvYc5NPsBCcwq7-AjD_rR0Y2bV2fiGTX2pZTQzDF14Z1RBXHBGW9TM-LjCE6xY4cpiiyk2oxwF0f6ZGp_gXMvT8xU4eo7ZrML8ZDpxa8BcSlXTXEdow3loMXxNVCa5CbWlnGnYgqhZ3NzUddep_cc49_FXKHMPCLoiQOQEiBb8uB9zUVUdefLp7zVmHn_4H6y1YKPBTF6rqyJ_AMyjt-OI-h1SEv3T06M34S0CLf81GB6swyJ-syK4yw2YL2dX7jO8MdflWTH74oWFQf7MgLsDq35Olg
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Hotel+daily+occupancy+forecasting+with+competitive+sets%3A+a+recursive+algorithm&rft.jtitle=International+journal+of+contemporary+hospitality+management&rft.au=Schwartz%2C+Zvi&rft.au=Uysal%2C+Muzaffer&rft.au=Webb%2C+Timothy&rft.au=Altin%2C+Mehmet&rft.date=2016-02-08&rft.pub=Emerald+Group+Publishing+Limited&rft.issn=0959-6119&rft.eissn=1757-1049&rft.volume=28&rft.issue=2&rft.spage=267&rft.epage=285&rft_id=info:doi/10.1108%2FIJCHM-10-2014-0507&rft.externalDBID=HAS_PDF&rft.externalDocID=10.1108%2FIJCHM-10-2014-0507
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0959-6119&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0959-6119&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0959-6119&client=summon