Effect on the demand and stock returns: cross-sectional of Big Data and time-series analysis
For reducing the degree of uncertainty caused by constant change in the environment, large, medium or small, private or public organizations must support their decisions in something more than experience or intuition; they must be supported by the development of accurate and reliable forecasts in or...
- Autores:
-
amelec, viloria
Meñaca Guerrero, Indira
MARTÍNEZ CARABALLO, HUGO RAMÓN
Orellano Llinas, Nelson
Valero, Lesbia
Hernández Palma, Hugo
CANO OTERO, EDWIN ALEXANDER
Pineda Lezama, Omar Bonerge
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/5879
- Acceso en línea:
- https://hdl.handle.net/11323/5879
https://repositorio.cuc.edu.co/
- Palabra clave:
- Warehousing
Cold chain
Forecasts
Time series
Perishable products
- Rights
- openAccess
- License
- CC0 1.0 Universal
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| dc.title.spa.fl_str_mv |
Effect on the demand and stock returns: cross-sectional of Big Data and time-series analysis |
| title |
Effect on the demand and stock returns: cross-sectional of Big Data and time-series analysis |
| spellingShingle |
Effect on the demand and stock returns: cross-sectional of Big Data and time-series analysis Warehousing Cold chain Forecasts Time series Perishable products |
| title_short |
Effect on the demand and stock returns: cross-sectional of Big Data and time-series analysis |
| title_full |
Effect on the demand and stock returns: cross-sectional of Big Data and time-series analysis |
| title_fullStr |
Effect on the demand and stock returns: cross-sectional of Big Data and time-series analysis |
| title_full_unstemmed |
Effect on the demand and stock returns: cross-sectional of Big Data and time-series analysis |
| title_sort |
Effect on the demand and stock returns: cross-sectional of Big Data and time-series analysis |
| dc.creator.fl_str_mv |
amelec, viloria Meñaca Guerrero, Indira MARTÍNEZ CARABALLO, HUGO RAMÓN Orellano Llinas, Nelson Valero, Lesbia Hernández Palma, Hugo CANO OTERO, EDWIN ALEXANDER Pineda Lezama, Omar Bonerge |
| dc.contributor.author.spa.fl_str_mv |
amelec, viloria Meñaca Guerrero, Indira MARTÍNEZ CARABALLO, HUGO RAMÓN Orellano Llinas, Nelson Valero, Lesbia Hernández Palma, Hugo CANO OTERO, EDWIN ALEXANDER Pineda Lezama, Omar Bonerge |
| dc.subject.spa.fl_str_mv |
Warehousing Cold chain Forecasts Time series Perishable products |
| topic |
Warehousing Cold chain Forecasts Time series Perishable products |
| description |
For reducing the degree of uncertainty caused by constant change in the environment, large, medium or small, private or public organizations must support their decisions in something more than experience or intuition; they must be supported by the development of accurate and reliable forecasts in order to meet the needs in the organization planning tasks. This case study presents a growing company dedicated to the storage of perishable products and incorporates time series forecasting techniques to estimate the volume of storage to foresee the requirements of additional facilities, personnel and materials needed for product mobility. |
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2019 |
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2019-11-05 |
| dc.date.accessioned.none.fl_str_mv |
2020-01-20T19:39:06Z |
| dc.date.available.none.fl_str_mv |
2020-01-20T19:39:06Z |
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Pre-Publicación |
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http://purl.org/coar/resource_type/c_816b |
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http://purl.org/coar/resource_type/c_816b |
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acceptedVersion |
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https://hdl.handle.net/11323/5879 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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https://hdl.handle.net/11323/5879 https://repositorio.cuc.edu.co/ |
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Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
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CC0 1.0 Universal |
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http://creativecommons.org/publicdomain/zero/1.0/ |
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info:eu-repo/semantics/openAccess |
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http://purl.org/coar/access_right/c_abf2 |
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CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ http://purl.org/coar/access_right/c_abf2 |
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Universidad de la Costa |
| institution |
Corporación Universidad de la Costa |
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amelec, viloriaMeñaca Guerrero, IndiraMARTÍNEZ CARABALLO, HUGO RAMÓNOrellano Llinas, NelsonValero, LesbiaHernández Palma, HugoCANO OTERO, EDWIN ALEXANDERPineda Lezama, Omar Bonerge2020-01-20T19:39:06Z2020-01-20T19:39:06Z2019-11-05https://hdl.handle.net/11323/5879Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/For reducing the degree of uncertainty caused by constant change in the environment, large, medium or small, private or public organizations must support their decisions in something more than experience or intuition; they must be supported by the development of accurate and reliable forecasts in order to meet the needs in the organization planning tasks. This case study presents a growing company dedicated to the storage of perishable products and incorporates time series forecasting techniques to estimate the volume of storage to foresee the requirements of additional facilities, personnel and materials needed for product mobility.amelec, viloria-will be generated-orcid-0000-0003-2673-6350-600Meñaca Guerrero, Indira-will be generated-orcid-0000-0002-0355-8937-600MARTÍNEZ CARABALLO, HUGO RAMÓN-will be generated-orcid-0000-0002-3222-1321-600Orellano Llinas, NelsonValero, LesbiaHernández Palma, HugoCANO OTERO, EDWIN ALEXANDER-will be generated-orcid-0000-0002-6017-3881-600Pineda Lezama, Omar BonergeengUniversidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2WarehousingCold chainForecastsTime seriesPerishable productsEffect on the demand and stock returns: cross-sectional of Big Data and time-series analysisPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALEffect on the Demand and Stock Returns.pdfEffect on the Demand and Stock Returns.pdfapplication/pdf212830https://repositorio.cuc.edu.co/bitstreams/7e126617-e04b-443f-9249-af9134af2ba0/download6fddd2981a7a0d5dd12c1f68601326e5MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/c408ee10-3280-444c-b0f8-9de7e18e2d4f/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/be3a2c38-ad0f-47e7-8e4f-c7313c3618df/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILEffect on the Demand and Stock Returns.pdf.jpgEffect on the Demand and Stock Returns.pdf.jpgimage/jpeg38960https://repositorio.cuc.edu.co/bitstreams/6d8e5a62-5696-4c0e-a1ee-ecc075bf596a/download5a9a23770a0ca768b7e50d6f1a2d86eeMD55TEXTEffect on the Demand and Stock Returns.pdf.txtEffect on the Demand and Stock Returns.pdf.txttext/plain1023https://repositorio.cuc.edu.co/bitstreams/d15d71e1-a4d9-4ab6-9fa6-f0f2c8c4daa7/downloadac079e93361cf5f0b2d55c6ff30456e1MD5611323/5879oai:repositorio.cuc.edu.co:11323/58792024-09-17 12:44:17.368http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |