Factors Influencing Users’ Satisfaction Towards Image Use in Social Media: A PLS-SEM Analysis

Authors

DOI:

https://doi.org/10.3991/ijim.v16i15.32555

Keywords:

Uses and Gratification Theory, Satisfaction, Image use, social media

Abstract


Images for social media are an essential component of any blog or social media post. As we now live in the age of the 'camera in everyone's pocket', a new dynamic era of image creation and content has emerged. However, people use media due to specific motives or gratifications that lead to their satisfaction of social media use. This research study utilized uses and gratification theory (UGT), a sociology theory related to the motives of people using the media. The UGT factors include enjoyment, entertainment, social influence, social interaction, and information sharing. There were 441 data that were collected and analysed. IBM SPSS Statistics 20 and Smart PLS 3.3.3 were used for the data analysis. Result showed that information sharing was the most influencing factors on users’ satisfaction to use image in social media. Therefore, the factors identified in these studies could be used as a guideline and references in future study related to social media awareness and implications.

Author Biographies

Irma Syarlina Che Ilias, Universiti Kuala Lumpur

Lecturer

Computer Engineering Technology Section

UniKL MIIT

Suzaimah Ramli

She received her PhD in Electrical, Electronic and System Engineering from Universiti Kebangsaan Malaysia in 2011, Master of Computer Science from Universiti Putra Malaysia in 2001, and Bachelor of Information Technology (Hons) from Universiti Utara Malaysia in 1997. Her research interests include image processing and artificial intelligence applications in various domain particularly in education, security and defence. Currently she is working as an Associate Professor at Department of Computer Science, Faculty of Defence Science and Technology, National Defence University of Malaysia. She is a member of Malaysia Board of Technologist and Informatics Intelligence Special Interest Group, UPNM. She has published and presented most of her research findings to various international conferences and articles in many international journals specifically in her research niche.

Muslihah Wook

She received her PhD in Information Science from Universiti Kebangsaan Malaysia in 2017, Master of Computer Science from Universiti Putra Malaysia in 2004, and Bachelor of Information Technology (Hons) from Universiti Utara Malaysia in 2001. Her research interests include big data analytics and data mining applications in various domain particularly in education, security and defence. Currently she is working as a Senior Lecturer at Department of Computer Science, Faculty of Defence Science and Technology, National Defence University of Malaysia. She has become members of International Association of Computer Science and Information Technology (IACSIT) and Institute of Research Engineers and Doctors (IRED) since 2011 and 2013 respectively. Recently, she has been appointed as a technical reviewer of Education and Information Technologies and Journal of Big Data—Springer journals indexed by ISI and Scopus (Q1), and other outstanding journals as well.

Nor Asiakin Hasbullah

She is currently a Senior Lecturer at the Department of Computer Science, National Defence University of Malaysia. Asiakin holds a Ph.D. in IT and Quantitative Sciences (System Sciences) and Master of Science in Information Technology from the MARA University of Technology Malaysia and Bachelor Degree of Science in Information Technology (Hons.) from the National University of Malaysia. Her research interest and expertise are in the field that covers intersection between society and technology such as information privacy, ethics in ICT, social informatics and social network behaviour. She is also a professional technologist, recognition given by the Malaysian Board of Technologist.

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Published

2022-08-17

How to Cite

Che Ilias, I. S., Ramli, S., Wook, M., & Hasbullah, N. A. (2022). Factors Influencing Users’ Satisfaction Towards Image Use in Social Media: A PLS-SEM Analysis. International Journal of Interactive Mobile Technologies (iJIM), 16(15), pp. 172–186. https://doi.org/10.3991/ijim.v16i15.32555

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Papers