Market share analysis and demand forecasting for the imported equipment to the healthcare market
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/29055 |
Resumo: | Understand the market economic behaviors of a market or a specific segment requires innumerous processes, which goes from each source of data capture, technological standardization. From the data format on the origin to the consolidation itself, its homogenization and even in the enrichment that can transform it into market information, as well as gauge the demand and adequate levels of inventories. The current work aims to develop a prototype and present it as a computational solution based on Machine Learning algorithms, which allows determining the Market Share of the equipment industries imported to the health market in Brazil as well as improving demand management and inventory of these productive systems. The nature of the object of this research is Design Science Research (DSR) to produce the referred prototype, which was developed based on the requirements raised through a field study with companies that import hospital medical equipment. The database was obtained through open government data (DGA) on product imports, available on the website of the Brazilian government website, using Robotic Process Automation (RPA) resources. The prototype presented as results: 90% accuracy in the calculation of Market Share, and a R2 factor in the simple linear regression of 0.97 in the demand forecast, for an estimated market growth of 50%. |
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Market share analysis and demand forecasting for the imported equipment to the healthcare marketAnálisis del market share y previsión de demanda de equipos importados para el mercado de salud Análise do market share e previsão de demanda de equipamentos importados para o mercado de saúde EnsinoEquipamentos médico-hospitalaresDados governamentais abertosMarket shareMachine learningData analyticsSistemas produtivos.EnseñanzaEquipos medico-hospitalaresDatos Governamentales abiertosMarket shareMachine learningData analyticsSistemas productivos.TeachingMedical productsOpen government dataMarket shareMachine learningData analyticsProductive systems.Understand the market economic behaviors of a market or a specific segment requires innumerous processes, which goes from each source of data capture, technological standardization. From the data format on the origin to the consolidation itself, its homogenization and even in the enrichment that can transform it into market information, as well as gauge the demand and adequate levels of inventories. The current work aims to develop a prototype and present it as a computational solution based on Machine Learning algorithms, which allows determining the Market Share of the equipment industries imported to the health market in Brazil as well as improving demand management and inventory of these productive systems. The nature of the object of this research is Design Science Research (DSR) to produce the referred prototype, which was developed based on the requirements raised through a field study with companies that import hospital medical equipment. The database was obtained through open government data (DGA) on product imports, available on the website of the Brazilian government website, using Robotic Process Automation (RPA) resources. The prototype presented as results: 90% accuracy in the calculation of Market Share, and a R2 factor in the simple linear regression of 0.97 in the demand forecast, for an estimated market growth of 50%.Entender el comportamiento económico de un mercado o de un segmento específico se requiere inúmeros procesos. Estos procesos abarcan desde la captura de cada fuente de datos, las normalizaciones tecnológicas que van desde el formato del dato de su origen hasta su consolidación, su homogeneización y aún el enriquecimiento que pueda transformarlo en información de mercado y evaluar la demanda y niveles adecuados de inventarios. El presente trabajo tiene por objetivo desarrollar un prototipo y preséntalo como una aplicación con base en algoritmos de machine learning, que permita determinar el market share de las industrias de equipos importados para el mercado de salud en Brasil y también mejorar la gestión de demanda e inventario de estos sistemas productivos. La naturaleza del objeto de esa pesquisa es de Design Science Research (DSR) para producir o referido prototipo, que fue desarrollado con base nos requisitos levantados por medio de uno estudio de campo con empresas importadoras de equipos médico hospitalario. La base de datos fue obtenida por medio dos datos gubernamentales abiertos (DGA) sobre importación de productos, disponibles no sitio de la Aduana Federal Brasileira. O prototipo presentó como resultados: 90% de exactitud no cálculo de market share, e u factor R2 na regresión linear simples de 0,97 na previsión de demanda para un crecimiento de mercado estimado de 50%.Entender o comportamento econômico de um mercado ou de um segmento específico requer inúmeros processos. Estes processos abrangem desde a captura de cada fonte de dados, as normatizações tecnológicas que percorrem o formato do dado de sua origem até sua consolidação, sua homogeneização e ainda o enriquecimento que possa transformá-lo em informação de mercado e aferir a demanda e níveis adequados de inventários. O presente trabalho tem por objetivo desenvolver um protótipo e apresentá-lo como uma aplicação com base em algoritmos de machine learning, que permita determinar o market share das indústrias de equipamentos importados para o mercado de saúde no Brasil e também melhorar a gestão da demanda e inventário destes sistemas produtivos. A natureza do objeto dessa pesquisa é de Design Science Research (DSR) para produzir o referido protótipo, que foi desenvolvido com base nos requisitos levantados por meio de um estudo de campo com empresas importadoras de equipamentos médico-hospitalares. A base de dados foi obtida por meio dos dados governamentais abertos (DGA) sobre importação de produtos, disponíveis no website da Receita Federal Brasileira. O protótipo apresentou como resultados: 90% de acurácia no cálculo de market share, e um fator R2 na regressão linear simples de 0,97 na previsão de demanda para um crescimento de mercado estimado de 50%.Research, Society and Development2022-05-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2905510.33448/rsd-v11i7.29055Research, Society and Development; Vol. 11 No. 7; e38011729055Research, Society and Development; Vol. 11 Núm. 7; e38011729055Research, Society and Development; v. 11 n. 7; e380117290552525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/29055/25968Copyright (c) 2022 Reginaldo Pereira da Silva; Napoleão Verardi Galegalehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Reginaldo Pereira da Galegale, Napoleão Verardi 2022-06-06T15:12:05Zoai:ojs.pkp.sfu.ca:article/29055Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:46:14.233709Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Market share analysis and demand forecasting for the imported equipment to the healthcare market Análisis del market share y previsión de demanda de equipos importados para el mercado de salud Análise do market share e previsão de demanda de equipamentos importados para o mercado de saúde |
title |
Market share analysis and demand forecasting for the imported equipment to the healthcare market |
spellingShingle |
Market share analysis and demand forecasting for the imported equipment to the healthcare market Silva, Reginaldo Pereira da Ensino Equipamentos médico-hospitalares Dados governamentais abertos Market share Machine learning Data analytics Sistemas produtivos. Enseñanza Equipos medico-hospitalares Datos Governamentales abiertos Market share Machine learning Data analytics Sistemas productivos. Teaching Medical products Open government data Market share Machine learning Data analytics Productive systems. |
title_short |
Market share analysis and demand forecasting for the imported equipment to the healthcare market |
title_full |
Market share analysis and demand forecasting for the imported equipment to the healthcare market |
title_fullStr |
Market share analysis and demand forecasting for the imported equipment to the healthcare market |
title_full_unstemmed |
Market share analysis and demand forecasting for the imported equipment to the healthcare market |
title_sort |
Market share analysis and demand forecasting for the imported equipment to the healthcare market |
author |
Silva, Reginaldo Pereira da |
author_facet |
Silva, Reginaldo Pereira da Galegale, Napoleão Verardi |
author_role |
author |
author2 |
Galegale, Napoleão Verardi |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Silva, Reginaldo Pereira da Galegale, Napoleão Verardi |
dc.subject.por.fl_str_mv |
Ensino Equipamentos médico-hospitalares Dados governamentais abertos Market share Machine learning Data analytics Sistemas produtivos. Enseñanza Equipos medico-hospitalares Datos Governamentales abiertos Market share Machine learning Data analytics Sistemas productivos. Teaching Medical products Open government data Market share Machine learning Data analytics Productive systems. |
topic |
Ensino Equipamentos médico-hospitalares Dados governamentais abertos Market share Machine learning Data analytics Sistemas produtivos. Enseñanza Equipos medico-hospitalares Datos Governamentales abiertos Market share Machine learning Data analytics Sistemas productivos. Teaching Medical products Open government data Market share Machine learning Data analytics Productive systems. |
description |
Understand the market economic behaviors of a market or a specific segment requires innumerous processes, which goes from each source of data capture, technological standardization. From the data format on the origin to the consolidation itself, its homogenization and even in the enrichment that can transform it into market information, as well as gauge the demand and adequate levels of inventories. The current work aims to develop a prototype and present it as a computational solution based on Machine Learning algorithms, which allows determining the Market Share of the equipment industries imported to the health market in Brazil as well as improving demand management and inventory of these productive systems. The nature of the object of this research is Design Science Research (DSR) to produce the referred prototype, which was developed based on the requirements raised through a field study with companies that import hospital medical equipment. The database was obtained through open government data (DGA) on product imports, available on the website of the Brazilian government website, using Robotic Process Automation (RPA) resources. The prototype presented as results: 90% accuracy in the calculation of Market Share, and a R2 factor in the simple linear regression of 0.97 in the demand forecast, for an estimated market growth of 50%. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/29055 10.33448/rsd-v11i7.29055 |
url |
https://rsdjournal.org/index.php/rsd/article/view/29055 |
identifier_str_mv |
10.33448/rsd-v11i7.29055 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/29055/25968 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Reginaldo Pereira da Silva; Napoleão Verardi Galegale https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Reginaldo Pereira da Silva; Napoleão Verardi Galegale https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 11 No. 7; e38011729055 Research, Society and Development; Vol. 11 Núm. 7; e38011729055 Research, Society and Development; v. 11 n. 7; e38011729055 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
_version_ |
1797052794786545664 |