Understanding Consumer Acceptance of Portable Wi-Fi System Apps: An Integrated Model of Unified Theory of Acceptance and Use of Technology and Task-Technology Fit
Bibliographic record
Abstract
This study investigates consumer acceptance of a portable Wi-Fi system application in Indonesia by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) and Task-Technology Fit (TTF) models.Structural Equation Modeling (SEM) of data from 168 users was employed.The core findings reveal a significant theoretical deviation: the primary UTAUT constructs-Performance Expectancy (PE), Effort Expectancy (EE), and Social Influence (SI)-did not significantly affect behavioral intention.Task Characteristics (TAC) were also non-significant.Adoption was driven solely by Facilitating Conditions (FC).Within the integrated framework, Technology Characteristics (TEC) significantly influenced EE and TTF.The results conclude that for this utility-based application, acceptance hinges exclusively on foundational support infrastructure, not on performance perceptions, ease of use, or SI.This offers a critical theoretical refinement and a decisive practical focus for service providers and developers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".