The impact of excessive Instagram use on students’ academic study: a two-stage SEM and artificial neural network approach

Masrom, Maslin, Busalim, Abdelsalam, Griffiths, Mark D, Asadi, Shahla ORCID: 0000-0002-8199-2122 and Mohd Ali, Raihana (2023) The impact of excessive Instagram use on students’ academic study: a two-stage SEM and artificial neural network approach. Interactive Learning Environments. doi:10.1080/10494820.2023.2184393 (In Press)

Text 12544 Masrom, Busalim, Griffiths, Asadi, Mohd (2023) The impact of excessive Instagram use on students' academic study - a two-stage SEM and artificial neural network approach.pdf - Accepted Version Restricted to Repository staff only until 12 September 2024. (Publisher Embargo). Available under License Creative Commons Attribution Non-commercial 4.0. Download (422kB)

Abstract

The use of Instagram is becoming increasingly popular among students. Excessive Instagram use (EIU) has become a growing problem that can impact students’ lives psychosocially. This study applied uses and gratifications theory (UGT) to explore the impact of social gratification, content gratification, and entertainment along with social presence, and escapism in relation to EIU. Data were collected from 285 university students and analyzed in two steps. In the first step, structural equation modeling was employed to identify the important variables that impact excessive Instagram use. In the second step, an artificial neural network (ANN) technique was used for validating the findings in Step 1 and determined the relative importance of each variable in relation to excessive Instagram use. The results showed that social gratification, entertainment, escapism, and social presence were positively related to EIU. ANN analysis showed that escapism was the most important construct in predicting excessive Instagram use followed by entertainment, social presence, and social gratification. Furthermore, EIU was related to academic impairment. The findings of the study contribute to the domain of the dark side of online activities by theoretically investigating the effect of EIU on students’ academic study.

Item Type:	Article
Article Type:	Article
Uncontrolled Keywords:	Excessive Instagram use; Uses and gratifications theory; Academic impairment
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Priority Areas:	Applied Business & Technology
Depositing User:	Anna Kerr
Date Deposited:	30 Mar 2023 08:33
Last Modified:	03 Nov 2023 11:20
URI:	https://eprints.glos.ac.uk/id/eprint/12544

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