EXPLORING THE ANTECEDENTS OF SOCIAL NETWORK USAGE ON ACADEMIC PERFORMANCE–A COMBINED GP-TOPSIS APPROACH
DOI:
https://doi.org/10.11113/jt.v78.4657Keywords:
Social Networking Sites (SNS), Academic Performance, Fuzzy Multi-Criteria Decision Making (FMCDM), Goal Programming (GP), Technique for Order Performance by Similarity to Ideal Solution (TOPSIS)Abstract
The present study is focused with two objectives: (1) to explore the influence of big-five personality factors (extraversion, neuroticism, agreeableness, openness to experience, and conscientiousness) towards social network site (SNS) usage among Asian university students, and (2) to analyze the mediating roles of personality, cultural and technology factors, in the relationship between SNS usage on academic performance. Moreover, assessment framework for the integration of personality, cultural and technology factors for the effectiveness of SNS usage on academic performance has not been adequately presented in the available literature. For measuring the effects of SNS usage on academic performance, we have integrated Fuzzy Multi-Criteria Decision Making (FMCDM) Approaches: (a) Fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) and (b) Goal Programming (GP) approach. Further, the hybridization of fuzzy TOPSIS and GP has addressed only in very few studies. Based on this context we have integrated fuzzy TOPSIS and GP approach for evaluating SNS usage on academic performance from the perspective of university students in India. The hybrid GP-TOPSIS methodology has been employed in a real case study among VIT university students in India. A numerical illustration for SNS usage on academic performance is also given to demonstrate the application of hybrid MCDM approach.
Â
References
Statista–The statistics Portal. 2014. India: number of social network user 2012-2018. http://www.statista.com/statistics/278407/number-of-social-network-users-in-india/.
Thompson, S. H., Lougheed, E. 2012. Frazzled by Facebook? An Exploratory Study Of Gender Differences In Social Network Communication Among Undergraduate Men And Women. Coll. Stud. J. 46(1): 88-99.
Wang, J. L., Jackson, L. A., Zhang, D. J., & Su, Z. Q. 2012. The Relationships Among The Big Five Personality Factors, Self-Esteem, Narcissism, And Sensation-Seeking To Chinese University Students’ Uses Of Social Networking Sites (SNSs). Computers in Human Behavior. 28(6): 2313-2319.
Ryan, T., & Xenos, S. 2011. Who Uses Facebook? An Investigation Into The Relationship Between The Big Five, Shyness, Narcissism, Loneliness, And Facebook Usage. Computers in Human Behavior. 27(5): 1658-1664.
Chen, B., & Marcus, J. 2012. Students’ Self-Presentation On Facebook: An Examination Of Personality And Self-Construal Factors. Computers in Human Behavior. 28(6): 2091-2099.
Hughes, D. J., Rowe, M., Batey, M., & Lee, A. 2012. A Tale Of Two Sites: Twitter Vs. Facebook And The Personality Predictors Of Social Media Usage. Computers in Human Behavior. 28(2): 561-569.
Vedel, A. 2014. The Big Five And Tertiary Academic Performance: A Systematic Review And Meta-Analysis. Personality and Individual Differences. 71: 66-76.
O’Connor, M. C., & Paunonen, S. V. 2007. Big Five Personality Predictors Of Post-Secondary Academic Performance. Personality and Individual Differences. 43(5): 971-990.
Chamorro-Premuzic, T., & Furnham, A. 2003. Personality Predicts Academic Performance: Evidence From Two Longitudinal University Samples. Journal of Research in Personality. 37(4): 319-338.
Mitrofana, N., & Iona, A. 2013. Predictors of Academic Performance. The Relation between the Big Five Factors and Academic Performance. Procedia-Social and Behavioral Sciences. 78: 125-129.
Karpinski, A. C., Kirschner, P. A., Ozer, I., Mellott, J. A., & Ochwo, P. 2013. An Exploration Of Social Networking Site Use, Multitasking, And Academic Performance Among United States And European University Students. Computers in Human Behavior. 29(3): 1182-1192.
Kim, Y., Sohn, D., & Choi, S. M. 2011. Cultural Difference In Motivations For Using Social Network Sites: A Comparative Study Of American And Korean College Students. Computers in Human Behavior. 27(1): 365-372.
Vasalou, A., Joinson, A. N., & Courvoisier, D. 2010. Cultural Differences, Experience With Social Networks And The Nature Of “True Commitment†In Facebook. International Journal Of Human-Computer Studies. 68(10): 719-728.
Ozer, I., Karpinski, A. C., & Kirschner, P. A. 2014. A Cross-cultural Qualitative Examination of Social-networking Sites and Academic Performance. Procedia-Social and Behavioral Sciences. 112: 873-881.
Kanthawongs, P., & Kanthawongs, P. 2013. Perception of Primary School Students, Parents and Teachers toward the Use of Computers, the Internet and Social Networking sites. Procedia-Social and Behavioral Sciences. 88: 282-290.
Lockyer, L., & Patterson, J. 2008, July. Integrating Social Networking Technologies In Education: A Case Study Of A Formal Learning Environment. In Advanced Learning Technologies, 2008. ICALT'08. Eighth IEEE International Conference on IEEE. 529-533.
Michikyan, M., Subrahmanyam, K., & Dennis, J. 2014. Can You Tell Who I Am? Neuroticism, Extraversion, And Online Self-Presentation Among Young Adults. Computers in Human Behavior. 33: 179-183.
Ji, Y., Wang, G. J., Zhang, Q., & Zhu, Z. H. 2014. Online Social Networking Behaviors Among Chinese Younger And Older Adolescent: The Influences Of Age, Gender, Personality, And Attachment Styles. Computers in Human Behavior. 41: 393-402.
Conard, M. A. 2006. Aptitude is Not Enough: How Personality And Behavior Predict Academic Performance. Journal of Research in Personality. 40(3): 339-346.
Skues, J. L., Williams, B., & Wise, L. 2012. The Effects Of Personality Traits, Self-Esteem, Loneliness, And Narcissism On Facebook Use Among University Students. Computers in Human Behavior. 28(6): 2414-2419.
Amichai-Hamburger, Y., & Vinitzky, G. 2010. Social Network Use And Personality. Computers in Human Behavior. 26: 1289-1295.
Park, N., Song, H., & Lee, K. M. 2014. Social Networking Sites And Other Media Use, Acculturation Stress, And Psychological Well-Being Among East Asian College Students In The United States. Computers in Human Behavior. 36: 138-146.
Laidra, K., Pullmann, H., & Allik, J. 2007. Personality and Intelligence As Predictors Of Academic Achievement: A Cross-Sectional Study From Elementary To Secondary School. Personality And Individual Differences. 42(3): 441-451.
Ractham, P., & Firpo, D. 2011, January. Using Social Networking Technology To Enhance Learning In Higher Education: A Case Study Using Facebook. In System Sciences (HICSS), 2011 44th Hawaii International Conference on IEEE. 1-10.
Lei, C. U., Krilavicius, T., Zhang, N., Wan, K., & Man, K. L. 2012. Using Web 2.0 Tools To Enhance Learning In Higher Education: A Case Study In Technological Education. In Proceedings of the International MultiConference of Engineers and Computer Scientists (Vol. 2).
Jackson, L. A., & Wang, J. L. 2013. Cultural Differences In Social Networking Site Use: A Comparative Study Of China And The United States. Computers In Human Behavior. 29(3): 910-921.
Kannan, D., Jabbour, A. B. L. D. S., & Jabbour, C. J. C. 2014. Selecting Green Suppliers Based On GSCM Practices: Using Fuzzy TOPSIS Applied To A Brazilian Electronics Company. European Journal of Operational Research. 233(2): 432-447.
Wang, X., & Chan, H. K. 2013. A Hierarchical Fuzzy TOPSIS Approach To Assess Improvement Areas When Implementing Green Supply Chain Initiatives. International Journal of Production Research. 51(10): 3117-3130.
Pires, A., Chang, N. B., & Martinho, G. 2011. An AHP-based Fuzzy Interval TOPSIS Assessment For Sustainable Expansion Of The Solid Waste Management System In Setúbal Peninsula, Portugal. Resources, Conservation and Recycling. 56(1): 7-21.
Sadi-Nezhad, S., & Khalili Damghani, K. 2010. Application of a Fuzzy TOPSIS Method Base On Modified Preference Ratio And Fuzzy Distance Measurement In Assessment Of Traffic Police Centers Performance. Applied Soft Computing. 10(4): 1028-1039.
Zh.-P. Fan, J. Ma, Y.-P. Jiang, Y.-H. Sun, L. Ma. 2006. A Goal Programming Approach To Group Decision Making Based On Multiplicative Preference Relations And Fuzzy Preference Relations. Eur. J. Oper. Res. 174: 311-321.
Fan, Z. P., Hu, G. F., & Xiao, S. H. 2004. A Method For Multiple Attribute Decision-Making With The Fuzzy Preference Relation On Alternatives. Computers & Industrial Engineering. 46(2): 321-327.
Khalili-Damghani, K., & Sadi-Nezhad, S. 2013. A Hybrid Fuzzy Multiple Criteria Group Decision Making Approach For Sustainable Project Selection. Applied Soft Computing. 13(1): 339-352.
Schrammel, J., Köffel, C., & Tscheligi, M. 2009. Personality Traits, Usage Patterns And Information Disclosure In Online Communities. In Proceedings of the 23rd British HCI Group Annual Conference On People And Computers: Celebrating People And Technology. British Computer Society. 169-174.
Gosling, S. D., Augustine, A. A., Vazire, S., Holtzman, N., & Gaddis, S. 2011. Manifestations of Personality In Online Social Networks: Self-Reported Facebook-Related Behaviors And Observable Profile Information. CyberPsychology, Behavior & Social Networking. 14(9): 483-488.
Selfhout, M., Burk, W., Branje, S., Denissen, J., Van Aken, M., & Meeus, W. 2010. Emerging Late Adolescent Friendship Networks And Big Five Personality Traits: A Social Network Approach. Journal of Personality. 78(2): 509-538.
Ractham, P., & Firpo, D. 2011, January. Using Social Networking Technology To Enhance Learning In Higher Education: A Case Study Using Facebook. In System Sciences (HICSS), 2011 44th Hawaii International Conference on. IEEE. 1-10.
Abo-Sinna, M. A., & Baky, I. A. 2010. Fuzzy Goal Programming Procedure To Bilevel Multi Objective Linear Fractional Programming Problems. International Journal of Mathematics and Mathematical Sciences, 2010.
Sangaiah, A. K., Gopal, J., Basu, A., Subramaniam, P. R. 2015. An Integrated Fuzzy DEMATEL, TOPSIS, and ELECTRE Approach For Evaluating Knowledge Transfer Effectiveness With Reference To GSD Project Outcome. Neural Computing and Applications. Springer Publishers, Article in Press, DOI: 10.1007/s00521-015-2040-7.
Sangaiah, A. K., Subramaniam, P. R., & Zheng, X. 2015. A Combined Fuzzy DEMATEL And Fuzzy TOPSIS Approach For Evaluating GSD Project Outcome Factors. Neural Computing and Applications. Springer Publishers, Article in Press, DOI: 10.1007/s00521-014-1771-1.
Gopal, J., Sangaiah, A. K., Basu, A., Gao, X. Z. 2015. Integration of Fuzzy DEMATEL And FMCDM Approach For Evaluating Knowledge Transfer Effectiveness with Reference To GSD Project Outcome. Article in Press, International Journal of Machine Learning and Cybernetics. Springer Publishers, Article in Press, Doi:10.1007/s13042-015-0370-5.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
