Bibliographische Detailangaben
| Titel: |
The Moderating Role of Generation in the Intention to Adopt Business Intelligence Tools Among Filipino Decision-Makers in SMEs. |
| Autoren: |
Illaga, Lynne Ivy L., Rivero, Donna Marie C., Boholst, Mc Clyde Ann P., Cabanlit, Cheradee Ann M., Ortiz, Marielle M., Ballera, Maika Mae L., Ortega, Patricia Marie F. |
| Quelle: |
IMEOM Conferences - Dhaka, Bangladesh; 2025, p791-803, 513p |
| Schlagwörter: |
BUSINESS intelligence, SMALL business, DECISION making in business, PLANNED behavior theory, CLASSIFICATION algorithms |
| Abstract: |
Business Intelligence (BI) tools are essential in transforming data into actionable insights, aiding decision-making processes in SMEs across various industries. The study aims to fill a knowledge gap by examining generational differences in BI tool adoption intentions among Filipino decision-makers in SMEs. Specifically, it explores how generational differences affect attitudes, subjective norms, and perceived behavioral control regarding BI tool adoption, utilizing the Decomposed Theory of Planned Behavior (DTPB). A total of 111 responses were analyzed in the study. A descriptive analysis was conducted to establish a baseline understanding of Filipino decision-makers across demographics. PLS-SEM via SmartPLS4 was used to analyze the relationships among constructs. The measurement model evaluated reliability and validity using PLSc-SEM Algorithm, while the structural model tested the hypothesized relationships using PLSc-SEM Bootstrapping. The PLS-SEM analysis validated eight out of 15 hypotheses. It was found that generation moderates the relationship between Attitude towards BI Usage and the Intention to Adopt BI, but not the relationships involving Subjective Norms and Perceived Behavioral Control. The R-squared value for BI adoption intention was 0.887, indicating a significant influence of the independent variables. Generational direct effects were significant, showing a positive impact on BI adoption intention. [ABSTRACT FROM AUTHOR] |
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| Datenbank: |
Complementary Index |
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