Behavioral Usage of Facebook and Grade Point Average (GPA): A Case Study of Phuket Rajabhat University

Article Sidebar

PDF
Published: Oct 5, 2018
Keywords:
FAD (Facebook Addiction Disorder) SEM (Structural Equation Modeling) TAM (Technology Acceptance Model) TPB (Theory of Planned Behaviour) TRA (Theory of Reasoned Action)

Main Article Content

Pita Jarupunphol
Phuket Rajabhat University
Wipawan Buathong
Phuket Rajabhat University

Abstract

This article studies the correlation between behavioural usage of Facebook and Grade Point Average (GPA) of undergraduate students at Phuket Rajabhat University (PKRU). A sample of 573 PKRU students was analysed using appropriate research instruments and statistical methods. Several psychological constructs, including those in Technology Acceptance Model (TAM) and a condition of addiction, were also hypothesised and investigated if they are related to the use of Facebook and GPA. The results showed that there was an insignificant correlation between the behavioral usage and GPA. However, the condition of addition appears to be a prominent construct in further TAM experiments, since it strongly underlies an individual’s intention to use a system. In addition, a significant relationship between the condition of addiction and GPA is also noticeable in this experiment. The results not only confirmed the validity of TAM, but also supported the existing theory of addiction and behaviour.

Article Details

How to Cite
Jarupunphol, P., & Buathong, W. (2018). Behavioral Usage of Facebook and Grade Point Average (GPA): A Case Study of Phuket Rajabhat University. Interdisciplinary Research Review, 13(3), 5–10. Retrieved from https://ph02.tci-thaijo.org/index.php/jtir/article/view/97023
Issue
Vol. 13 No. 3 (2018): May - June
Section
Research Articles
Author Biographies

Pita Jarupunphol, Phuket Rajabhat University

Department of Information Technology, Faculty of Science and Technology

Wipawan Buathong, Phuket Rajabhat University

Department of Information Technology, Faculty of Science and Technology

References

Mahmood, S. and Farooq, U. Facebook addiction: A study of big-five factors and academic performance amongst students of IUB. Global Journal of Management and Business Research: E-Marketing. 2014; 14(5): 2249–4588.

Pempek, T. A., Yermolayeva, Y. A., and Calvert, S. L. College students’ social networking experiences on Facebook. Journal of Applied Developmental Psychology. 2009; 30: 227–238.

Ryan, T. and Xenos, S. Who uses Facebook? an investigation into the relationship between the big five, shyness, narcissism, loneliness, and Facebook usage. Computers in Human Behavior. 2014; 27(5): 1658–1664.

Sherman, E. Facebook Addiction: Factors Influencing an Individual’s Addiction. Boston: University of Massachusetts; 2011.

Echeburua, E. and de Corral, P. Addiction to new technologies and to online social networking in young people: A new challenge. Adicciones. 2010; 22(2): 91–95.

Kuss, D. J. and Griffiths, M. D. Excessive online social networking: Can adolescents become addicted to facebook? Education and Health. 2011; 29(4): 63–66.

Balci, S. and Golcu, A. Facebook addiction among university students in turkey: “selcuk university example”. Journal of Turkish Studies (Turkiyat Arastirmalari Dergisi). 2013; 34: 255–278.

Davis., F. D. A technology acceptance model for empirically testing new end-user information systems: theory and results. Sloan School of Management: Massachusetts Institute of Technology; 1986.

Davis., F. D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 1989; 13(3): 319–340.

Davis, F. D. User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies. 1993; 38(3): 475–487.

Fishbein, M. and Ajzen, I. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. MA: Addison-Wesley; 1975.

Ajzen, I. and Fishbein, M. Understanding attitudes and predicting social behavior. New Jersey: PrenticeHall; 1980.

Ajzen, I. Theory of planned behavior. Organizational Behavior and Human Decision Processes. 1991; 179-211.

Davis, F. and Venkatesh, V. A critical assessment of potential measurement biases in the technology acceptance model: three experiments. International Journal of Human - Computer Studies. 1996; 45: 19–45.

Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. User acceptance of computer technology: A comparison of two theoretical models. Management Science. 1989; 35(8): 982–1003.

Chen, H., Hsu, C., Chang, C., and Huang, Y. Applying the technology acceptance model to evaluate the learning companion recommendation system on facebook. Proceedings of Technology for Education (T4E), IEEE. 2012; 160–163.

Khalid, A., Bashir, S. S., Razi, A., and Ali, S. A. Trend of using facebook among teenagers. Global Journal of Management and Business Research. 2012; 12(2): 49–55.

Nasri, W. and Charfeddine, L. An exploration of Facebook.Com adoption in Tunisia using technology acceptance model (TAM) and theory of reasoned action (TRA). Interdisciplinary Journal of Contemporary Research in Business. 2012; 4(5): 948–968.

MedicalXPress. New research about facebook addiction [internet]. 2012. [cited 30 April 2017] Available from: http://medicalxpress.com/news/2012-05-facebook-addiction.html

Clark-Carter., D. Quantitative Psychological Research: The Complete Student’s Companion. Psychology Press; 2009.

Hoyle, R. H. Structural Equation Modeling: Concepts, Issues, and Applications. SAGE; 1995.

Hoyle, R. H. Handbook of Structural Equation Modeling. New York: Guilford Press; 2012

Hox, J. An introduction to structural equation modeling. Family Science Review. 1998; 11: 354–373.

Teo, T. and Khine, M. S. Structural Equation Modeling in Educational Research: Concepts and Applications. Boston: Sense Publishers; 2009.