Support Conditions: Secret Key or Just an Accessory for E‑Learning?

Universities pour millions into online platforms, yet students often don’t use them as expected. Why? A study of 470 Indonesian students tested the UTAUT model, which links factors like perceived usefulness and social pressure to the intention to use technology. The findings confirm that Performance Expectancy (how much you think e‑learning helps you reach goals) and Effort Expectancy (how easy it is to use) are truly important, as is perceived enjoyment. Surprisingly, Facilitating Conditions – the presence of infrastructure, internet connection and technical support – do not directly push students to want online study. Instead, these conditions act as a “catalyst”: they boost perceived usefulness and ease of use, which in turn raise the intention to use the platform and, finally, actual behavior. In practice, having a good network or a well‑designed app isn’t enough; it’s the way these tools make studying more effective and less tiring that really matters. For university administrators, the message is clear: investing in technology is no longer about quantity, but about the quality of the learning experience.

The UTAUT (Unified Theory of Acceptance and Use of Technology) model was originally proposed by Venkatesh et al. (2003) to explain technology adoption in organizational settings. It includes four primary constructs: Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI) and Facilitating Conditions (FC). In this study, FC was treated as an “enabling” construct, indirectly influencing behavioral intention (BI) through PE and EE. Mediation analysis revealed regression coefficients β=0.556 for FC→PE and β=0.419 for FC→EE, indicating that infrastructural support enhances perceived usefulness and ease of use. Moreover, the total effect of FC on BI was non‑significant (β=-0.085), confirming the hypothesis of no direct relationship. Model robustness was verified with 5,000‑sample bootstrapping and multi‑group invariance testing across gender and year of study, showing no substantial variations. These findings suggest a theoretical revision of UTAUT, introducing an “enabling” pathway where support conditions act as a prerequisite for activating traditional motivational drivers. Practically, institutions should focus on interventions that improve PE and EE perception, such as interactive tutorials, personalized feedback, and user‑centered design, rather than merely ensuring hardware or connectivity availability.