Diffusion and adoption of technology amongst engineering and business management students
| Main Author: | |
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| Publication Date: | 2017 |
| Other Authors: | |
| Format: | Article |
| Language: | eng |
| Source: | International Journal of Innovation (São Paulo) |
| Download full: | https://periodicos.uninove.br/innovation/article/view/9848 |
Summary: | This study aimed to identify profiles of technology adoption amongst engineering and business management students based on Rogers' theory of diffusion of innovations and on Hirschman's studies of innovativeness, novelty seeking, creativity behavior and role accumulation. A systematic literature review was performed and an item pool was generated to measure the constructs found on theory. The questionnaire was presented to an experts' panel for content validity and to a sample of subjects in the population for semantic validity. The final research instrument was then submitted to 390 students from private and public universities in Brazil. Mean age of sample was 22.5 years (SD = 4.9) and was well distributed between males (50.6%) and females (49.4%). Data was analyzed using SPSS 22.0 and SmartPLS 2.0. A hypothetical model was specified and alternative models as well. Univariate and multivariate normality was tested and PLS-SEM was chosen due to the non-parametric nature of collected data. Final results proved that Roger's theoretical profiles (e.g.: innovator, early adopter, etc) are predictors of Hirschman's adoption typology and these findings are useful to understand the generational patterns of technology diffusion and adoption and to support corporate initiatives on technology deployment amongst employees |
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Diffusion and adoption of technology amongst engineering and business management studentsDifusão e adoção de tecnologia entre estudantes universitários de Engenharia e Administraçãodiffusion of innovationsadoption of innovationsundergraduate studentsstructural equation modelingtechnologyDifusão de InovaçõesAdoção de InovaçõesEstudantes UniversitáriosModelagem de Equações EstruturaisTecnologiaThis study aimed to identify profiles of technology adoption amongst engineering and business management students based on Rogers' theory of diffusion of innovations and on Hirschman's studies of innovativeness, novelty seeking, creativity behavior and role accumulation. A systematic literature review was performed and an item pool was generated to measure the constructs found on theory. The questionnaire was presented to an experts' panel for content validity and to a sample of subjects in the population for semantic validity. The final research instrument was then submitted to 390 students from private and public universities in Brazil. Mean age of sample was 22.5 years (SD = 4.9) and was well distributed between males (50.6%) and females (49.4%). Data was analyzed using SPSS 22.0 and SmartPLS 2.0. A hypothetical model was specified and alternative models as well. Univariate and multivariate normality was tested and PLS-SEM was chosen due to the non-parametric nature of collected data. Final results proved that Roger's theoretical profiles (e.g.: innovator, early adopter, etc) are predictors of Hirschman's adoption typology and these findings are useful to understand the generational patterns of technology diffusion and adoption and to support corporate initiatives on technology deployment amongst employeesEsta pesquisa buscou identificar perfis de adoção de tecnologia entre estudantes universitários dos cursos de Engenharia e Administração de Empresas com base na teoria de Rogers sobre a difusão de inovação e os estudos de Hirschman sobre inovação, busca de novidades, comportamento criativo e acumulação de papéis. Foi realizada uma revisão sistemática da literatura e um conjunto de itens foi elaborado para a mensuração dos construtos encontrados na teoria. O instrumento de pesquisa (questionário) foi apresentado a um painel de especialistas para validação de conteúdo e para uma amostra dos sujeitos da população para validação semântica. A versão final do questionário foi submetida a 390 estudantes de instituições de ensino superior públicas e privadas no Brazil. A idade média da amostra foi de 22,5 anos (DP = 4,9) e a distribuição de gênero dos respondentes equilibrada entre masculino (50,6%) e feminino (49,4%). Os dados coletados foram analisados com os pacotes SPSS 22.0 e SmartPLS 2.0. Foram especificados um modelo de pesquisa hipotético e modelos alternativos. Testes de normalidade univariada e multivariada foram realizados e o modelo de equações estruturais baseado em mínimos quadrados parciais (PLS-SEM) foi escolhido em função da natureza não-paramétrica dos dados. Os resultados obtidos confirmam o modelo hipotético em que os perfis teóricos de Roger (ex.: inovador, adotante inicial, etc) são preditores da tipologia de adoção de Hirschman. Estas descobertas são úteis para compreensão dos padrões geracionais de difusão e adoção de tecnologia, bem como auxiliar iniciativas corporativas para disseminação de tecnologia entre os colaboradores.Universidade Nove de Julho - UNINOVE2017-02-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.uninove.br/innovation/article/view/984810.5585/iji.v5i1.80International Journal of Innovation; Vol. 5 No. 1 (2017): January/April; 20-31International Journal of Innovation – IJI; Vol. 5 Núm. 1 (2017): January/April; 20-31International Journal of Innovation – IJI; v. 5 n. 1 (2017): January/April; 20-312318-9975reponame:International Journal of Innovation (São Paulo)instname:Universidade Nove de Julho (UNINOVE)instacron:UNINOVEenghttps://periodicos.uninove.br/innovation/article/view/9848/pdfCopyright (c) 2017 International Journal of Innovationhttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessGabriel, Marcelo Luiz Dias Da SilvaSilva, Dirceu Da2020-02-10T21:02:48Zoai:ojs.periodicos.uninove.br:article/9848Revistahttps://periodicos.uninove.br/innovation/indexPRIhttps://periodicos.uninove.br/innovation/oaiiji@uninove.br || crismonteiro@uninove.br2318-99752318-9975opendoar:2020-02-10T21:02:48International Journal of Innovation (São Paulo) - Universidade Nove de Julho (UNINOVE)false |
| dc.title.none.fl_str_mv |
Diffusion and adoption of technology amongst engineering and business management students Difusão e adoção de tecnologia entre estudantes universitários de Engenharia e Administração |
| title |
Diffusion and adoption of technology amongst engineering and business management students |
| spellingShingle |
Diffusion and adoption of technology amongst engineering and business management students Gabriel, Marcelo Luiz Dias Da Silva diffusion of innovations adoption of innovations undergraduate students structural equation modeling technology Difusão de Inovações Adoção de Inovações Estudantes Universitários Modelagem de Equações Estruturais Tecnologia |
| title_short |
Diffusion and adoption of technology amongst engineering and business management students |
| title_full |
Diffusion and adoption of technology amongst engineering and business management students |
| title_fullStr |
Diffusion and adoption of technology amongst engineering and business management students |
| title_full_unstemmed |
Diffusion and adoption of technology amongst engineering and business management students |
| title_sort |
Diffusion and adoption of technology amongst engineering and business management students |
| author |
Gabriel, Marcelo Luiz Dias Da Silva |
| author_facet |
Gabriel, Marcelo Luiz Dias Da Silva Silva, Dirceu Da |
| author_role |
author |
| author2 |
Silva, Dirceu Da |
| author2_role |
author |
| dc.contributor.author.fl_str_mv |
Gabriel, Marcelo Luiz Dias Da Silva Silva, Dirceu Da |
| dc.subject.por.fl_str_mv |
diffusion of innovations adoption of innovations undergraduate students structural equation modeling technology Difusão de Inovações Adoção de Inovações Estudantes Universitários Modelagem de Equações Estruturais Tecnologia |
| topic |
diffusion of innovations adoption of innovations undergraduate students structural equation modeling technology Difusão de Inovações Adoção de Inovações Estudantes Universitários Modelagem de Equações Estruturais Tecnologia |
| description |
This study aimed to identify profiles of technology adoption amongst engineering and business management students based on Rogers' theory of diffusion of innovations and on Hirschman's studies of innovativeness, novelty seeking, creativity behavior and role accumulation. A systematic literature review was performed and an item pool was generated to measure the constructs found on theory. The questionnaire was presented to an experts' panel for content validity and to a sample of subjects in the population for semantic validity. The final research instrument was then submitted to 390 students from private and public universities in Brazil. Mean age of sample was 22.5 years (SD = 4.9) and was well distributed between males (50.6%) and females (49.4%). Data was analyzed using SPSS 22.0 and SmartPLS 2.0. A hypothetical model was specified and alternative models as well. Univariate and multivariate normality was tested and PLS-SEM was chosen due to the non-parametric nature of collected data. Final results proved that Roger's theoretical profiles (e.g.: innovator, early adopter, etc) are predictors of Hirschman's adoption typology and these findings are useful to understand the generational patterns of technology diffusion and adoption and to support corporate initiatives on technology deployment amongst employees |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017-02-16 |
| 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://periodicos.uninove.br/innovation/article/view/9848 10.5585/iji.v5i1.80 |
| url |
https://periodicos.uninove.br/innovation/article/view/9848 |
| identifier_str_mv |
10.5585/iji.v5i1.80 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
https://periodicos.uninove.br/innovation/article/view/9848/pdf |
| dc.rights.driver.fl_str_mv |
Copyright (c) 2017 International Journal of Innovation https://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Copyright (c) 2017 International Journal of Innovation https://creativecommons.org/licenses/by-nc-nd/4.0 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Universidade Nove de Julho - UNINOVE |
| publisher.none.fl_str_mv |
Universidade Nove de Julho - UNINOVE |
| dc.source.none.fl_str_mv |
International Journal of Innovation; Vol. 5 No. 1 (2017): January/April; 20-31 International Journal of Innovation – IJI; Vol. 5 Núm. 1 (2017): January/April; 20-31 International Journal of Innovation – IJI; v. 5 n. 1 (2017): January/April; 20-31 2318-9975 reponame:International Journal of Innovation (São Paulo) instname:Universidade Nove de Julho (UNINOVE) instacron:UNINOVE |
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Universidade Nove de Julho (UNINOVE) |
| instacron_str |
UNINOVE |
| institution |
UNINOVE |
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International Journal of Innovation (São Paulo) |
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International Journal of Innovation (São Paulo) |
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International Journal of Innovation (São Paulo) - Universidade Nove de Julho (UNINOVE) |
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iji@uninove.br || crismonteiro@uninove.br |
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1836384966754172928 |