Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach

By Garry Wei-Han Tan, Keng-Boon Ooi, Lai-Ying Leong, Binshan Lin. Computers in Human Behavior, 2014

433 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/18157ad4e2cc48711e059fc477004284b6b3ae9b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Mostafa Al-Emran
2. Said A. Salloum
3. Eric Eaton
4. Jorge Armando Mendez Mendez

In Information Systems and Management

1. Said A. Salloum
2. Ibrahim Arpaci
3. Mostafa Al-Emran

In Sociology and Political Science

1. Said A. Salloum
2. Ibrahim Arpaci
3. Mostafa Al-Emran

Citations in the corpus

• An empirical examination of continuous intention to use m-learning: An integrated model (2020, background): “In another study, Tan et al. (2014) found that social influences and personal innovativeness were significant factors in predicting behavioral intentions to use mobile technologies.”