Irish Tejero Dakay, Rosana J. Ferolin, Angie Ceniza Canillo
{"title":"高等教育机构最终用户商业智能工具的采用","authors":"Irish Tejero Dakay, Rosana J. Ferolin, Angie Ceniza Canillo","doi":"10.34257/gjcstdvol23is1pg27","DOIUrl":null,"url":null,"abstract":"This study examines how business intelligence (BI) tools are adopted in a higher education setting. It made use of the theories of Diffusion of Innovation (DOI), Technology Readiness Index, and Technology Acceptance Model (TAM). The psychometric features of the intended end-users were defined using TAM. The technology readiness of the users was assessed using TRI. The DOI was used to describe the innovation itself. The important factors for the adoption of the technology in this particular environment were identified through the examination of both quantitative and qualitative data. To gain a better understanding of the socio-technical system as a whole, a systems dynamics tool is presented to model the interaction of these elements along with the recommended interventions.","PeriodicalId":340110,"journal":{"name":"Global journal of computer science and technology","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"End-User Business Intelligence Tools Adoption in a Higher Education Institution\",\"authors\":\"Irish Tejero Dakay, Rosana J. Ferolin, Angie Ceniza Canillo\",\"doi\":\"10.34257/gjcstdvol23is1pg27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines how business intelligence (BI) tools are adopted in a higher education setting. It made use of the theories of Diffusion of Innovation (DOI), Technology Readiness Index, and Technology Acceptance Model (TAM). The psychometric features of the intended end-users were defined using TAM. The technology readiness of the users was assessed using TRI. The DOI was used to describe the innovation itself. The important factors for the adoption of the technology in this particular environment were identified through the examination of both quantitative and qualitative data. To gain a better understanding of the socio-technical system as a whole, a systems dynamics tool is presented to model the interaction of these elements along with the recommended interventions.\",\"PeriodicalId\":340110,\"journal\":{\"name\":\"Global journal of computer science and technology\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global journal of computer science and technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34257/gjcstdvol23is1pg27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global journal of computer science and technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34257/gjcstdvol23is1pg27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
End-User Business Intelligence Tools Adoption in a Higher Education Institution
This study examines how business intelligence (BI) tools are adopted in a higher education setting. It made use of the theories of Diffusion of Innovation (DOI), Technology Readiness Index, and Technology Acceptance Model (TAM). The psychometric features of the intended end-users were defined using TAM. The technology readiness of the users was assessed using TRI. The DOI was used to describe the innovation itself. The important factors for the adoption of the technology in this particular environment were identified through the examination of both quantitative and qualitative data. To gain a better understanding of the socio-technical system as a whole, a systems dynamics tool is presented to model the interaction of these elements along with the recommended interventions.