Publicação
Understanding the adoption of cloud BI in SMEs
| Resumo: | Business Intelligence (BI) systems have been largely used to support decision-making and increase competitive advantage between firms. In order to understand the adoption of BI systems in organizations, many studies have used adoption theories to support their results. However, to our knowledge, none of these studies have focused on the adoption of cloud BI solutions in small and medium enterprises (SMEs). This study aims to fill this gap in the literature and assess the determinant factors to the adoption of cloud BI in SMEs. We propose a conceptual model based on the combination of two prominent adoption theories: diffusion of innovation (DOI) theory, and the technology, organization, and environment (TOE) framework. Data collected from 203 SMEs were analysed using the partial least squares structural equation modelling (PLS-SEM) method. Results show that the variables relative advantage, compatibility and top management support are significant to the adoption of cloud BI in SMEs. |
|---|---|
| Autores principais: | Ferro, Daniel |
| Outros Autores: | Martins, Ricardo |
| Assunto: | Business Intelligence (BI) Diffusion of Innovation (DOI) theory Innovation adoption SMEs Technology-organization-environment (TOE) framework Information Systems and Management Management Information Systems Management of Technology and Innovation Information Systems Computer Science Applications SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation, and Infrastructure |
| Ano: | 2019 |
| País: | Portugal |
| Tipo de documento: | documento de conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1868982709404041216 |
|---|---|
| author | Ferro, Daniel |
| author2 | Martins, Ricardo |
| author2_role | author |
| author_facet | Ferro, Daniel Martins, Ricardo |
| author_role | author |
| contributor_name_str_mv | NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Ferro, Daniel\"},{\"Person.name\":\"Martins, Ricardo\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Ferro, Daniel Martins, Ricardo |
| datacite.date.Accepted.fl_str_mv | 2019-10-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-05-30T22:13:32Z |
| datacite.date.embargoed.fl_str_mv | 2023-05-30T22:13:32Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Business Intelligence (BI) Diffusion of Innovation (DOI) theory Innovation adoption SMEs Technology-organization-environment (TOE) framework Information Systems and Management Management Information Systems Management of Technology and Innovation Information Systems Computer Science Applications SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation, and Infrastructure |
| datacite.titles.title.fl_str_mv | Understanding the adoption of cloud BI in SMEs |
| dc.contributor.none.fl_str_mv | NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
| dc.creator.none.fl_str_mv | Ferro, Daniel Martins, Ricardo |
| dc.date.Accepted.fl_str_mv | 2019-10-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-05-30T22:13:32Z |
| dc.date.embargoed.fl_str_mv | 2023-05-30T22:13:32Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/153345 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | APSI - Associação Portuguesa de Sistemas de Informação |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Business Intelligence (BI) Diffusion of Innovation (DOI) theory Innovation adoption SMEs Technology-organization-environment (TOE) framework Information Systems and Management Management Information Systems Management of Technology and Innovation Information Systems Computer Science Applications SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation, and Infrastructure |
| dc.title.fl_str_mv | Understanding the adoption of cloud BI in SMEs |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_c94f |
| description | Business Intelligence (BI) systems have been largely used to support decision-making and increase competitive advantage between firms. In order to understand the adoption of BI systems in organizations, many studies have used adoption theories to support their results. However, to our knowledge, none of these studies have focused on the adoption of cloud BI solutions in small and medium enterprises (SMEs). This study aims to fill this gap in the literature and assess the determinant factors to the adoption of cloud BI in SMEs. We propose a conceptual model based on the combination of two prominent adoption theories: diffusion of innovation (DOI) theory, and the technology, organization, and environment (TOE) framework. Data collected from 203 SMEs were analysed using the partial least squares structural equation modelling (PLS-SEM) method. Results show that the variables relative advantage, compatibility and top management support are significant to the adoption of cloud BI in SMEs. |
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| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/70c4a926-e31e-45de-b12e-892ac201d44b/download |
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| identifier.url.fl_str_mv | http://hdl.handle.net/10362/153345 |
| inst_facet_str | urn:organizationAcronym:unl{{{_:::_}}}Universidade Nova de Lisboa |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/153345 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Ferro, Daniel Martins, Ricardo |
| publishDate | 2019 |
| publisher.none.fl_str_mv | APSI - Associação Portuguesa de Sistemas de Informação |
| repo_facet_str | urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL |
| reponame_str | Repositório Institucional da UNL |
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| spelling | engAPSI - Associação Portuguesa de Sistemas de InformaçãoenBusiness Intelligence (BI) systems have been largely used to support decision-making and increase competitive advantage between firms. In order to understand the adoption of BI systems in organizations, many studies have used adoption theories to support their results. However, to our knowledge, none of these studies have focused on the adoption of cloud BI solutions in small and medium enterprises (SMEs). This study aims to fill this gap in the literature and assess the determinant factors to the adoption of cloud BI in SMEs. We propose a conceptual model based on the combination of two prominent adoption theories: diffusion of innovation (DOI) theory, and the technology, organization, and environment (TOE) framework. Data collected from 203 SMEs were analysed using the partial least squares structural equation modelling (PLS-SEM) method. Results show that the variables relative advantage, compatibility and top management support are significant to the adoption of cloud BI in SMEs.application/pdfenUnderstanding the adoption of cloud BI in SMEsFerro, DanielMartins, RicardoNOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNIsPartOfPURE: 18816091URNIsPartOfPURE UUID: c5a8bb02-04f0-4cfe-8565-5a325e3193e7URNIsPartOfScopus: 850866329912023-05-30T22:13:32Z2019-10-012019-10-01T00:00:00ZHandlehttp://hdl.handle.net/10362/153345http://purl.org/coar/access_right/c_abf2open accessBusiness Intelligence (BI)Diffusion of Innovation (DOI) theoryInnovation adoptionSMEsTechnology-organization-environment (TOE) frameworkInformation Systems and ManagementManagement Information SystemsManagement of Technology and InnovationInformation SystemsComputer Science ApplicationsSDG 8 - Decent Work and Economic GrowthSDG 9 - Industry, Innovation, and Infrastructure546240 bytesother research producthttp://purl.org/coar/resource_type/c_c94fconference objecthttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/70c4a926-e31e-45de-b12e-892ac201d44b/download |
| spellingShingle | Understanding the adoption of cloud BI in SMEs Ferro, Daniel Business Intelligence (BI) Diffusion of Innovation (DOI) theory Innovation adoption SMEs Technology-organization-environment (TOE) framework Information Systems and Management Management Information Systems Management of Technology and Innovation Information Systems Computer Science Applications SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation, and Infrastructure |
| status | SINGLETON |
| subject.fl_str_mv | Business Intelligence (BI) Diffusion of Innovation (DOI) theory Innovation adoption SMEs Technology-organization-environment (TOE) framework Information Systems and Management Management Information Systems Management of Technology and Innovation Information Systems Computer Science Applications SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation, and Infrastructure |
| title | Understanding the adoption of cloud BI in SMEs |
| title_full | Understanding the adoption of cloud BI in SMEs |
| title_fullStr | Understanding the adoption of cloud BI in SMEs |
| title_full_unstemmed | Understanding the adoption of cloud BI in SMEs |
| title_short | Understanding the adoption of cloud BI in SMEs |
| title_sort | Understanding the adoption of cloud BI in SMEs |
| topic | Business Intelligence (BI) Diffusion of Innovation (DOI) theory Innovation adoption SMEs Technology-organization-environment (TOE) framework Information Systems and Management Management Information Systems Management of Technology and Innovation Information Systems Computer Science Applications SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation, and Infrastructure |
| topic_facet | Business Intelligence (BI) Diffusion of Innovation (DOI) theory Innovation adoption SMEs Technology-organization-environment (TOE) framework Information Systems and Management Management Information Systems Management of Technology and Innovation Information Systems Computer Science Applications SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation, and Infrastructure |
| url | http://hdl.handle.net/10362/153345 |
| visible | 1 |