Evaluation of Business Intelligence in telecommunications companies
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Sistemas & Gestão |
Texto Completo: | https://www.revistasg.uff.br/sg/article/view/1480 |
Resumo: | Highlights: Most companies have issues with large volumes of data, lack of information, knowledge, and insufficient reporting. Business Intelligence (BI) allows companies to find patterns and connections between apparently independent and disconnected pieces of data. Evaluating success or effectiveness of information systems is crucial for investment in these technologies. Despite advancements made by evaluation studies, there is still a gap in regard to BI-oriented evaluation models.Objective: Propose and apply a model for BI evaluation in telecommunication companies through IT evaluation attributes.Design/Methodology/Approach: In order to develop the research, an alignment between literature review and field research was made. Multiple case studies of qualitative approach were used as method, using semi-structured interviews as data collection techniques. These were conducted with IT managers and system users.Results: Despite the main advantages, BI's disadvantages and aspects for obtaining success were identified in literature and are aligned with the field research. It was found that motivations and pressures for BI implementation are principally related to the alignment of the organization's strategic planning to BI's benefits.Investigation's limitations: Not all hardware attributes can be applied to software evaluation processes, similar to how some are not appropriate to the service sector. Thus, this work's proposition focuses on software evaluation attributes.Practical implications: From a management perspective, this article contributes with the proposition of a new set of key attributes to the evaluation of BI after its implementation in companies which are not necessarily in the telecommunications sector.Originality/Value: Despite the adoption and growth of BI, there is a gap to be filled regarding models for the technology evaluation. This type of model is crucial for understanding why a tool with a number of advantages is still affected by implementation difficulties and use in the telecommunications sector. Therefore, this work provides a set of evaluation attributes supported by literature which can subsidize the development of new evaluative studies that are not restricted to IT. |
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Evaluation of Business Intelligence in telecommunications companiesAvaliação do Business Intelligence em empresas de telecomunicaçõesEvaluationModelBusiness IntelligenceTelecommunicationAvaliaçãoModeloBusiness IntelligenceTelecomunicaçãoHighlights: Most companies have issues with large volumes of data, lack of information, knowledge, and insufficient reporting. Business Intelligence (BI) allows companies to find patterns and connections between apparently independent and disconnected pieces of data. Evaluating success or effectiveness of information systems is crucial for investment in these technologies. Despite advancements made by evaluation studies, there is still a gap in regard to BI-oriented evaluation models.Objective: Propose and apply a model for BI evaluation in telecommunication companies through IT evaluation attributes.Design/Methodology/Approach: In order to develop the research, an alignment between literature review and field research was made. Multiple case studies of qualitative approach were used as method, using semi-structured interviews as data collection techniques. These were conducted with IT managers and system users.Results: Despite the main advantages, BI's disadvantages and aspects for obtaining success were identified in literature and are aligned with the field research. It was found that motivations and pressures for BI implementation are principally related to the alignment of the organization's strategic planning to BI's benefits.Investigation's limitations: Not all hardware attributes can be applied to software evaluation processes, similar to how some are not appropriate to the service sector. Thus, this work's proposition focuses on software evaluation attributes.Practical implications: From a management perspective, this article contributes with the proposition of a new set of key attributes to the evaluation of BI after its implementation in companies which are not necessarily in the telecommunications sector.Originality/Value: Despite the adoption and growth of BI, there is a gap to be filled regarding models for the technology evaluation. This type of model is crucial for understanding why a tool with a number of advantages is still affected by implementation difficulties and use in the telecommunications sector. Therefore, this work provides a set of evaluation attributes supported by literature which can subsidize the development of new evaluative studies that are not restricted to IT.Destaques: A maior parte das empresas tem problemas com o alto volume de dados, falta de informação, conhecimento e relatórios insuficientes. A Business Intelligence (BI) possibilita às companhias encontrarem padrões e relações entre dados aparentemente independentes e desconectados; A avaliação do sucesso ou efetividade de sistemas de informação é fundamental para investimentos nestas tecnologias; Apesar dos avanços já alcançados por estudos avaliativos, ainda existe uma lacuna quanto a modelos de avaliação dedicados à BI.Objetivo: Propor e aplicar um modelo para avaliar a BI em empresas do setor de telecomunicações, por meio de atributos de avaliação de TI.Desenho/Metodologia/Abordagem: Para a construção da pesquisa, foi realizado um alinhamento entre revisão de literatura e pesquisa de campo. O método utilizado foi o de estudo de caso múltiplo, de abordagem qualitativa, utilizando as entrevistas semiestruturadas como técnica de coleta de dados, as quais foram direcionadas a gestores de TI e a usuários do sistema.Resultados: Algumas das principais vantagens, desvantagens e aspectos para a obtenção do sucesso da BI foram identificadas na literatura e estão alinhadas com a pesquisa de campo. Descobriu-se que as motivações e pressões para implantar a BI relacionam-se, principalmente, ao alinhamento do planejamento estratégico da organização com os benefícios da BI.Limitações da investigação: Nem todos os atributos de hardware podem ser aplicados em processos de avaliação de um software, assim como alguns não são apropriados ao setor de serviços; assim, a proposta deste trabalho foca nos atributos de avaliação de software.Implicações práticas: Na perspectiva gerencial, este artigo contribui propondo um novo conjunto de atributos-chave para a avaliação da BI após implantada em empresas, que não necessariamente estejam no setor de telecomunicações.Originalidade/valor: Apesar do crescimento da adoção da BI, há uma lacuna a ser preenchida quanto a modelos para a avaliação desta tecnologia. Este tipo de modelo é crucial para se entender porque uma ferramenta com tantas vantagens ainda é alvo de dificuldades de implantação e uso no setor de telecomunicações. Assim, este trabalho fornece um conjunto de atributos de avaliação, sustentados pela literatura, que podem subsidiar o desenvolvimento de novos estudos avaliativos, não restritos à área de TI.ABEC2019-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionRevisão de Literatura; Pesquisa Empírica de Campo; Estudo de Casos Múltiplostext/htmltext/htmlapplication/pdfapplication/pdfhttps://www.revistasg.uff.br/sg/article/view/148010.20985/1980-5160.2019.v14n1.1480Sistemas & Gestão; v. 14 n. 1 (2019): MARÇO 2019; 64-761980-516010.20985/1980-5160.2019.v14n1reponame:Sistemas & Gestãoinstname:Universidade Federal Fluminense (UFF)instacron:UFFporenghttps://www.revistasg.uff.br/sg/article/view/1480/htmlhttps://www.revistasg.uff.br/sg/article/view/1480/html_1https://www.revistasg.uff.br/sg/article/view/1480/pdfhttps://www.revistasg.uff.br/sg/article/view/1480/pdf_1Copyright (c) 2019 Sistemas & Gestãoinfo:eu-repo/semantics/openAccessFernandes, Breno BrandCabral Ribeiro, Priscilla CristinaGomes Costa, Helder2020-05-29T17:17:16Zoai:ojs.www.revistasg.uff.br:article/1480Revistahttps://www.revistasg.uff.br/sgPUBhttps://www.revistasg.uff.br/sg/oai||sg.revista@gmail.com|| periodicos@proppi.uff.br1980-51601980-5160opendoar:2020-05-29T17:17:16Sistemas & Gestão - Universidade Federal Fluminense (UFF)false |
dc.title.none.fl_str_mv |
Evaluation of Business Intelligence in telecommunications companies Avaliação do Business Intelligence em empresas de telecomunicações |
title |
Evaluation of Business Intelligence in telecommunications companies |
spellingShingle |
Evaluation of Business Intelligence in telecommunications companies Fernandes, Breno Brand Evaluation Model Business Intelligence Telecommunication Avaliação Modelo Business Intelligence Telecomunicação |
title_short |
Evaluation of Business Intelligence in telecommunications companies |
title_full |
Evaluation of Business Intelligence in telecommunications companies |
title_fullStr |
Evaluation of Business Intelligence in telecommunications companies |
title_full_unstemmed |
Evaluation of Business Intelligence in telecommunications companies |
title_sort |
Evaluation of Business Intelligence in telecommunications companies |
author |
Fernandes, Breno Brand |
author_facet |
Fernandes, Breno Brand Cabral Ribeiro, Priscilla Cristina Gomes Costa, Helder |
author_role |
author |
author2 |
Cabral Ribeiro, Priscilla Cristina Gomes Costa, Helder |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Fernandes, Breno Brand Cabral Ribeiro, Priscilla Cristina Gomes Costa, Helder |
dc.subject.por.fl_str_mv |
Evaluation Model Business Intelligence Telecommunication Avaliação Modelo Business Intelligence Telecomunicação |
topic |
Evaluation Model Business Intelligence Telecommunication Avaliação Modelo Business Intelligence Telecomunicação |
description |
Highlights: Most companies have issues with large volumes of data, lack of information, knowledge, and insufficient reporting. Business Intelligence (BI) allows companies to find patterns and connections between apparently independent and disconnected pieces of data. Evaluating success or effectiveness of information systems is crucial for investment in these technologies. Despite advancements made by evaluation studies, there is still a gap in regard to BI-oriented evaluation models.Objective: Propose and apply a model for BI evaluation in telecommunication companies through IT evaluation attributes.Design/Methodology/Approach: In order to develop the research, an alignment between literature review and field research was made. Multiple case studies of qualitative approach were used as method, using semi-structured interviews as data collection techniques. These were conducted with IT managers and system users.Results: Despite the main advantages, BI's disadvantages and aspects for obtaining success were identified in literature and are aligned with the field research. It was found that motivations and pressures for BI implementation are principally related to the alignment of the organization's strategic planning to BI's benefits.Investigation's limitations: Not all hardware attributes can be applied to software evaluation processes, similar to how some are not appropriate to the service sector. Thus, this work's proposition focuses on software evaluation attributes.Practical implications: From a management perspective, this article contributes with the proposition of a new set of key attributes to the evaluation of BI after its implementation in companies which are not necessarily in the telecommunications sector.Originality/Value: Despite the adoption and growth of BI, there is a gap to be filled regarding models for the technology evaluation. This type of model is crucial for understanding why a tool with a number of advantages is still affected by implementation difficulties and use in the telecommunications sector. Therefore, this work provides a set of evaluation attributes supported by literature which can subsidize the development of new evaluative studies that are not restricted to IT. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Revisão de Literatura; Pesquisa Empírica de Campo; Estudo de Casos Múltiplos |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistasg.uff.br/sg/article/view/1480 10.20985/1980-5160.2019.v14n1.1480 |
url |
https://www.revistasg.uff.br/sg/article/view/1480 |
identifier_str_mv |
10.20985/1980-5160.2019.v14n1.1480 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://www.revistasg.uff.br/sg/article/view/1480/html https://www.revistasg.uff.br/sg/article/view/1480/html_1 https://www.revistasg.uff.br/sg/article/view/1480/pdf https://www.revistasg.uff.br/sg/article/view/1480/pdf_1 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Sistemas & Gestão info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Sistemas & Gestão |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html text/html application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
ABEC |
publisher.none.fl_str_mv |
ABEC |
dc.source.none.fl_str_mv |
Sistemas & Gestão; v. 14 n. 1 (2019): MARÇO 2019; 64-76 1980-5160 10.20985/1980-5160.2019.v14n1 reponame:Sistemas & Gestão instname:Universidade Federal Fluminense (UFF) instacron:UFF |
instname_str |
Universidade Federal Fluminense (UFF) |
instacron_str |
UFF |
institution |
UFF |
reponame_str |
Sistemas & Gestão |
collection |
Sistemas & Gestão |
repository.name.fl_str_mv |
Sistemas & Gestão - Universidade Federal Fluminense (UFF) |
repository.mail.fl_str_mv |
||sg.revista@gmail.com|| periodicos@proppi.uff.br |
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1798320144594763776 |