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Hauptverfasser: Nugraha, Jaka, Sun, Noyyn, Zhao, Xinlin, Wardani, Vindi Kusuma, Koblianska, Inna, Lian, Jiunn-Woei
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2512.07185
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author Nugraha, Jaka
Sun, Noyyn
Zhao, Xinlin
Wardani, Vindi Kusuma
Koblianska, Inna
Lian, Jiunn-Woei
author_facet Nugraha, Jaka
Sun, Noyyn
Zhao, Xinlin
Wardani, Vindi Kusuma
Koblianska, Inna
Lian, Jiunn-Woei
contents Despite substantial institutional investment in e-learning infrastructure, student engagement often fails to meet expectations--a persistent paradox that challenges the established direct relationship between Facilitating Conditions (FC) and behavioral intention within the classic UTAUT framework. To resolve this theoretical puzzle, we reconceptualized the role of FC through an empirical study of 470 Indonesian university students. Our robust, multi-stage analytical approach first confirmed the significant influence of established drivers--Performance Expectancy (beta=0.190), Effort Expectancy (beta=0.198), Social Influence (beta=0.151), and Perceived Enjoyment (beta=0.472)--on Behavioral Intention (BI), which in turn strongly predicted Use Behavior (beta=0.666). Crucially, however, the direct effect of FC on BI proved non-significant (beta=-0.085). A subsequent mediation model revealed FC's true function as a foundational enabling construct that operates indirectly by powerfully enhancing both Performance Expectancy (beta=0.556) and Effort Expectancy (beta=0.419). Our findings demonstrate that the value of technological infrastructure lies not in its mere presence, but in its dynamic capacity to enable learning and optimize user experience. This research advances a refined "enabling pathway" theoretical framework, guiding administrators to shift the focus of technological investment from merely providing tools to strategically crafting learning experiences.
format Preprint
id arxiv_https___arxiv_org_abs_2512_07185
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Facilitating Conditions as an Enabler, Not a Direct Motivator: A Robustness and Mediation Analysis of E-Learning Adoption
Nugraha, Jaka
Sun, Noyyn
Zhao, Xinlin
Wardani, Vindi Kusuma
Koblianska, Inna
Lian, Jiunn-Woei
Applications
Despite substantial institutional investment in e-learning infrastructure, student engagement often fails to meet expectations--a persistent paradox that challenges the established direct relationship between Facilitating Conditions (FC) and behavioral intention within the classic UTAUT framework. To resolve this theoretical puzzle, we reconceptualized the role of FC through an empirical study of 470 Indonesian university students. Our robust, multi-stage analytical approach first confirmed the significant influence of established drivers--Performance Expectancy (beta=0.190), Effort Expectancy (beta=0.198), Social Influence (beta=0.151), and Perceived Enjoyment (beta=0.472)--on Behavioral Intention (BI), which in turn strongly predicted Use Behavior (beta=0.666). Crucially, however, the direct effect of FC on BI proved non-significant (beta=-0.085). A subsequent mediation model revealed FC's true function as a foundational enabling construct that operates indirectly by powerfully enhancing both Performance Expectancy (beta=0.556) and Effort Expectancy (beta=0.419). Our findings demonstrate that the value of technological infrastructure lies not in its mere presence, but in its dynamic capacity to enable learning and optimize user experience. This research advances a refined "enabling pathway" theoretical framework, guiding administrators to shift the focus of technological investment from merely providing tools to strategically crafting learning experiences.
title Facilitating Conditions as an Enabler, Not a Direct Motivator: A Robustness and Mediation Analysis of E-Learning Adoption
topic Applications
url https://arxiv.org/abs/2512.07185