Publicação
Understanding the adoption of cloud BI in SMES
| Resumo: | BI systems have been largely used as a way to support decision-making and increase competitive advantage between large firms. Studies using adoption theories turned out to be useful to understand the adoption of BI systems in such organizations. However, among SME’s the research on the theme it is still scarce as the adoption of BI is not a certainty. Even though cloud BI solutions emerged as a suitable solution for SME’s, there is a lack of studies focusing on its adoption. This study aims to fill this gap in the literature and access 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 at the firm level: diffusion of innovation (DOI) theory, and the technology, organization, and environment (TOE) framework. Data collected from 203 SMEs were analyzed using the PLS-SEM method. Results of the data analysis showed that the variables relative advantage, complexity and top management support are significant to the adoption of cloud BI in SMEs. This study offers insights to SMEs’ managers, BI vendors, and IT/IS scholars. |
|---|---|
| Autores principais: | Ferro, Daniel Cabral Ribeiro |
| Assunto: | Business Intelligence (BI) Innovation adoption SMEs Technology-organization-environment (TOE) framework Diffusion of Innovation (DOI) theory |
| Ano: | 2019 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1868983876871782400 |
|---|---|
| author | Ferro, Daniel Cabral Ribeiro |
| author_facet | Ferro, Daniel Cabral Ribeiro |
| author_role | author |
| contributor_name_str_mv | Martins, Ricardo José dos Santos RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Ferro, Daniel Cabral Ribeiro\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Martins, Ricardo José dos Santos RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Ferro, Daniel Cabral Ribeiro |
| datacite.date.Accepted.fl_str_mv | 2019-06-04T00:00:00Z |
| datacite.date.available.fl_str_mv | 2022-06-08T00:30:39Z |
| datacite.date.embargoed.fl_str_mv | 2022-06-08T00:30:39Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Business Intelligence (BI) Innovation adoption SMEs Technology-organization-environment (TOE) framework Diffusion of Innovation (DOI) theory |
| datacite.titles.title.fl_str_mv | Understanding the adoption of cloud BI in SMES |
| dc.contributor.none.fl_str_mv | Martins, Ricardo José dos Santos RUN |
| dc.creator.none.fl_str_mv | Ferro, Daniel Cabral Ribeiro |
| dc.date.Accepted.fl_str_mv | 2019-06-04T00:00:00Z |
| dc.date.available.fl_str_mv | 2022-06-08T00:30:39Z |
| dc.date.embargoed.fl_str_mv | 2022-06-08T00:30:39Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/77157 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Business Intelligence (BI) Innovation adoption SMEs Technology-organization-environment (TOE) framework Diffusion of Innovation (DOI) theory |
| 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_bdcc |
| description | BI systems have been largely used as a way to support decision-making and increase competitive advantage between large firms. Studies using adoption theories turned out to be useful to understand the adoption of BI systems in such organizations. However, among SME’s the research on the theme it is still scarce as the adoption of BI is not a certainty. Even though cloud BI solutions emerged as a suitable solution for SME’s, there is a lack of studies focusing on its adoption. This study aims to fill this gap in the literature and access 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 at the firm level: diffusion of innovation (DOI) theory, and the technology, organization, and environment (TOE) framework. Data collected from 203 SMEs were analyzed using the PLS-SEM method. Results of the data analysis showed that the variables relative advantage, complexity and top management support are significant to the adoption of cloud BI in SMEs. This study offers insights to SMEs’ managers, BI vendors, and IT/IS scholars. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/7927556a-eb38-42a8-afda-8d8b1e3a1347/download |
| id | run_3bfb67f6ef672542781df9e4c9dfd4e7 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/77157 |
| 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:10362/77157 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Ferro, Daniel Cabral Ribeiro |
| publishDate | 2019 |
| repo_facet_str | urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL |
| reponame_str | Repositório Institucional da UNL |
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| service_str_mv | urn:repositoryAcronym:run |
| spelling | engpt_PTBI systems have been largely used as a way to support decision-making and increase competitive advantage between large firms. Studies using adoption theories turned out to be useful to understand the adoption of BI systems in such organizations. However, among SME’s the research on the theme it is still scarce as the adoption of BI is not a certainty. Even though cloud BI solutions emerged as a suitable solution for SME’s, there is a lack of studies focusing on its adoption. This study aims to fill this gap in the literature and access 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 at the firm level: diffusion of innovation (DOI) theory, and the technology, organization, and environment (TOE) framework. Data collected from 203 SMEs were analyzed using the PLS-SEM method. Results of the data analysis showed that the variables relative advantage, complexity and top management support are significant to the adoption of cloud BI in SMEs. This study offers insights to SMEs’ managers, BI vendors, and IT/IS scholars.application/pdfpt_PTUnderstanding the adoption of cloud BI in SMESFerro, Daniel Cabral RibeiroMartins, Ricardo José dos SantosHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNurn:tid:2022696042022-06-08T00:30:39Z2019-06-042019-06-04T00:00:00ZHandlehttp://hdl.handle.net/10362/77157http://purl.org/coar/access_right/c_abf2open accessBusiness Intelligence (BI)Innovation adoptionSMEsTechnology-organization-environment (TOE) frameworkDiffusion of Innovation (DOI) theory1322177 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesishttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/7927556a-eb38-42a8-afda-8d8b1e3a1347/download |
| spellingShingle | Understanding the adoption of cloud BI in SMES Ferro, Daniel Cabral Ribeiro Business Intelligence (BI) Innovation adoption SMEs Technology-organization-environment (TOE) framework Diffusion of Innovation (DOI) theory |
| status | SINGLETON |
| subject.fl_str_mv | Business Intelligence (BI) Innovation adoption SMEs Technology-organization-environment (TOE) framework Diffusion of Innovation (DOI) theory |
| 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) Innovation adoption SMEs Technology-organization-environment (TOE) framework Diffusion of Innovation (DOI) theory |
| topic_facet | Business Intelligence (BI) Innovation adoption SMEs Technology-organization-environment (TOE) framework Diffusion of Innovation (DOI) theory |
| url | http://hdl.handle.net/10362/77157 |
| visible | 1 |