The Mediating Effect of Behavioral Intention in the Relationship between Social Influence and Wireless Technology Usage

The adoption of wireless technologies, such as Wi-Fi and mobile tools, is pivotal in enhancing teaching, research, and administrative efficiency in higher education. Despite widespread access to these technologies in public universities in Uganda, the adoption rate among academic staff remains inconsistent. This study investigates the mediating role of behavioral intention in the relationship between social influence and wireless technology usage. This study employs a quantitative approach, utilizing surveys to gather data from academic staff. Findings showed that there was a significant positive mediating effect of behavioral intention (BI) on the relationship between social influence (SI) and Wireless Technologies Usage (WTU). The type of mediation was partial as SI predicts WTU directly and indirectly through BI. There were also significant positive relationships between social influence, behavioral intention, and wireless technology usage. It was concluded that behavioral intention to use is a mediator of social influence and Wireless Technologies Usage. This research contributes to the existing literature by highlighting the importance of behavioral intention as a mediating factor, offering insights for stakeholders aiming to enhance technology adoption strategies. The implications of these findings underscore the necessity for targeted interventions that leverage social influence to foster positive behavioral changes toward wireless technology usage.

Authors

Publication Details

Journal
International Journal of Wireless & Mobile Networks
Published
2024-12-28
DOI
https://doi.org/10.5121/ijwmn.2024.16603
Citations
3
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
3.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Mediating Effect of Behavioral Intention in the Relationship between Social Influence and Wireless Technology Usage

Muhammad Ali, Sajid Sheikh Muhammad, Kyambadde Abdunool, Saunders Warda
3 citations
International Journal of Wireless & Mobile Networks
Technology Adoption and User Behaviour
3.15
article

The Mediating Effect of Behavioral Intention in the Relationship between Social Influence and Wireless Technology Usage

Muhammad Ali, Sajid Sheikh Muhammad, Kyambadde Abdunool, Saunders Warda
article en
3 citations

Abstract

The adoption of wireless technologies, such as Wi-Fi and mobile tools, is pivotal in enhancing teaching, research, and administrative efficiency in higher education. Despite widespread access to these technologies in public universities in Uganda, the adoption rate among academic staff remains inconsistent. This study investigates the mediating role of behavioral intention in the relationship between social influence and wireless technology usage. This study employs a quantitative approach, utilizing surveys to gather data from academic staff. Findings showed that there was a significant positive mediating effect of behavioral intention (BI) on the relationship between social influence (SI) and Wireless Technologies Usage (WTU). The type of mediation was partial as SI predicts WTU directly and indirectly through BI. There were also significant positive relationships between social influence, behavioral intention, and wireless technology usage. It was concluded that behavioral intention to use is a mediator of social influence and Wireless Technologies Usage. This research contributes to the existing literature by highlighting the importance of behavioral intention as a mediating factor, offering insights for stakeholders aiming to enhance technology adoption strategies. The implications of these findings underscore the necessity for targeted interventions that leverage social influence to foster positive behavioral changes toward wireless technology usage.

International Journal of Wireless & Mobile NetworksVol. 16(6)
Openalex Percentile: Top 6%
Technology Adoption and User Behaviour
3.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.