End-User Business Intelligence Tools Adoption in a Higher Education Institution

Article Crossref DOI

10.34257/GJCSTDVOL23IS1PG27

Article ID

X73RD

Insight into academic analytics and business intelligence tools for universities and colleges.

End-User Business Intelligence Tools Adoption in a Higher Education Institution

Irish Tejero - Dakay
Irish Tejero - Dakay University of San Carlos
Rosana J. Ferolin
Rosana J. Ferolin
Angie Ceniza - Canillo
Angie Ceniza - Canillo
DOI
10.34257/GJCSTDVOL23IS1PG27

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.

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.

Language: English

Irish Tejero - Dakay
Irish Tejero – Dakay University of San Carlos
Rosana J. Ferolin
Rosana J. Ferolin
Angie Ceniza - Canillo
Angie Ceniza – Canillo

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Irish Tejero – Dakay. 2026. “. Global Journal of Computer Science and Technology – D: Neural & AI GJCST-D Volume 23 (GJCST Volume 23 Issue D1): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Issue Cover
GJCST Volume 23 Issue D1
Pg. 27- 33
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GJCST-D Classification: FOR Code: 280213
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End-User Business Intelligence Tools Adoption in a Higher Education Institution

Irish Tejero - Dakay
Irish Tejero - Dakay University of San Carlos
Rosana J. Ferolin
Rosana J. Ferolin
Angie Ceniza - Canillo
Angie Ceniza - Canillo

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