The impact of social networking sites on students’ social wellbeing and academic performance

  • Sarminah Samad
  • Mehrbakhsh NilashiEmail author
  • Othman Ibrahim


Social networking sites have played an important role in enhancing students’ social presence. As an educational tool for online courses, they have significantly contributed in promoting students’ motivation for learning. The aim of this research is to investigate the impact of social networking sites on students’ academic performance. We conduct a comprehensive review on the usage of social networking sites in academic environments to identify the influential factors and propose a new model based on several research hypotheses. To evaluate the hypotheses and verify the proposed model, a survey is conducted on the female students from a major research university in Malaysia. We use Decision Making Trial and Evaluation Laboratory to perform the data analysis. In relation to the statistical technique, this technique can find the casual relationships among the factors, their effect size and their importance levels. The results of our survey revealed that there is positive relationship between social presence, students’ social wellbeing and their academic performance.


Social networking sites Academic performance Causal relationships Decision making trial and evaluation laboratory Social collaborations 



  1. Ahmadi, H., Nilashi, M., & Ibrahim, O. (2015). Organizational decision to adopt hospital information system: An empirical investigation in the case of Malaysian public hospitals. International Journal of Medical Informatics, 84(3), 166–188.Google Scholar
  2. Alavi, M. (1994). Computer-mediated collaborative learning: An empirical evaluation. MIS Quarterly, 18, 159–174.MathSciNetGoogle Scholar
  3. Bicen, H. (2015). Determination of university students’ reasons Ofusing social networking sites in their daily life. Procedia-Social and Behavioral Sciences, 190, 519–522.Google Scholar
  4. Bicen, H., & Cavus, N. (2010). The most preferred social network sites by students. Procedia-Social and Behavioral Sciences, 2(2), 5864–5869.Google Scholar
  5. Bosch, T. E. (2009). Using online social networking for teaching and learning: Facebook use at the University of Cape Town. Communicatio: South African Journal for Communication Theory and Research, 35(2), 185–200.Google Scholar
  6. Burke, M., Marlow, C., & Lento, T. (2010). Social network activity and social well-being. Paper presented at the Proceedings of the SIGCHI conference on human factors in computing systems.Google Scholar
  7. Buzov, I. (2014). Social network sites as area for students’ pro-environmental activities. Procedia-Social and Behavioral Sciences, 152, 1233–1236.Google Scholar
  8. Cheung, C. M., Chiu, P.-Y., & Lee, M. K. (2011). Online social networks: Why do students use facebook? Computers in Human Behavior, 27(4), 1337–1343.Google Scholar
  9. Dabbagh, N., & Kitsantas, A. (2012). Personal learning environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning. The Internet and Higher Education, 15(1), 3–8.Google Scholar
  10. Dunlap, J. C., & Lowenthal, P. R. (2009). Tweeting the night away: Using twitter to enhance social presence. Journal of Information Systems Education, 20(2), 129–135.Google Scholar
  11. Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168.Google Scholar
  12. Fiori, K. L., Antonucci, T. C., & Cortina, K. S. (2006). Social network typologies and mental health among older adults. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 61(1), P25–P32.Google Scholar
  13. Gunawardena, C. N., & Zittle, F. J. (1997). Social presence as a predictor of satisfaction within a computer-mediated conferencing environment. American Journal of Distance Education, 11(3), 8–26.Google Scholar
  14. Helou, A. M., & Rahim, N. Z. A. (2014). The influence of social networking sites on students’ academic performance in Malaysia. International Journal of Electronic Commerce, 5(2), 247–254.Google Scholar
  15. Hu, K.-C., Lu, M., Huang, F.-Y., & Jen, W. (2017). Click “like” on Facebook: The effect of customer-to-customer interaction on customer voluntary performance for social networking sites. International Journal of Human Computer Interaction, 33(2), 135–142.Google Scholar
  16. Joksimović, S., Gašević, D., Kovanović, V., Riecke, B. E., & Hatala, M. (2015). Social presence in online discussions as a process predictor of academic performance. Journal of Computer Assisted Learning, 31(6), 638–654.Google Scholar
  17. Kamel Boulos, M. N., & Wheeler, S. (2007). The emerging Web 2.0 social software: An enabling suite of sociable technologies in health and health care education 1. Health Information and Libraries Journal, 24(1), 2–23.Google Scholar
  18. Kang, S. (2007). Disembodiment in online social interaction: Impact of online chat on social support and psychosocial well-being. Cyberpsychology & Behavior, 10(3), 475–477.Google Scholar
  19. Kizgin, H., Jamal, A., Rana, N., Dwivedi, Y., & Weerakkody, V. (2018). The impact of social networking sites on socialization and political engagement: Role of acculturation. Technological Forecasting and Social Change.Google Scholar
  20. Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610.Google Scholar
  21. Lee, Y.-C., Li, M.-L., Yen, T.-M., & Huang, T.-H. (2010). Analysis of adopting an integrated decision making trial and evaluation laboratory on a technology acceptance model. Expert Systems with Applications, 37(2), 1745–1754.Google Scholar
  22. Liccardi, I., Ounnas, A., Pau, R., Massey, E., Kinnunen, P., Lewthwaite, S., . . . Sarkar, C. (2007). The role of social networks in students' learning experiences. Paper presented at the ACM Sigcse Bulletin.Google Scholar
  23. Lim, J., & Richardson, J. C. (2016). Exploring the effects of students' social networking experience on social presence and perceptions of using SNSs for educational purposes. The Internet and Higher Education, 29, 31–39.Google Scholar
  24. Nilashi, M., Zakaria, R., Ibrahim, O., Majid, M. Z. A., Zin, R. M., & Farahmand, M. (2015). MCPCM: A DEMATEL-ANP-based multi-criteria decision-making approach to evaluate the critical success factors in construction projects. Arabian Journal for Science and Engineering, 40(2), 343–361.Google Scholar
  25. Pang, H. (2018). Exploring the beneficial effects of social networking site use on Chinese students’ perceptions of social capital and psychological well-being in Germany. International Journal of Intercultural Relations, 67, 1–11.Google Scholar
  26. Pempek, T. A., Yermolayeva, Y. A., & Calvert, S. L. (2009). College students' social networking experiences on Facebook. Journal of Applied Developmental Psychology, 30(3), 227–238.Google Scholar
  27. Roblyer, M. D., McDaniel, M., Webb, M., Herman, J., & Witty, J. V. (2010). Findings on Facebook in higher education: A comparison of college faculty and student uses and perceptions of social networking sites. The Internet and Higher Education, 13(3), 134–140.Google Scholar
  28. Salahshour Rad, M., Nilashi, M., Mohamed Dahlan, H., & Ibrahim, O. (2017). Academic researchers’ behavioural intention to use academic social networking sites: A case of Malaysian research universities. Information Development, 026666691774192.
  29. Salahshour, M., Dahlan, H. M., Iahad, N. A., Nilashi, M., & Ibrahim, O. (2015). Using a multi-criteria decision making approach for assessing the factors affecting social network sites intention to use. Journal of Soft Computing and Decision Support Systems, 2(3), 20–28.Google Scholar
  30. Salahshour, M., Dahlan, H. M., Iahad, N. A., & Nilashi, M. (2017). The role of demographic factors on academic social networking sites use behaviour from academic researchers perspective. Journal of Soft Computing and Decision Support Systems, 4(4), 11–16.Google Scholar
  31. Shieh, J. I., Wu, H. H., & Huang, K. K. (2010). A DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Systems, 23(3), 277–282.Google Scholar
  32. Tsai, W. H., & Chou, W. C. (2009). Selecting management systems for sustainable development in SMEs: A novel hybrid model based on DEMATEL, ANP, and ZOGP. Expert Systems with Applications, 36(2), 1444–1458.Google Scholar
  33. Tzeng, G. H., Chiang, C. H., & Li, C. W. (2007). Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Systems with Applications, 32(4), 1028–1044.Google Scholar
  34. Valenzuela, S., Park, N., & Kee, K. F. (2009). Is there social capital in a social network site?: Facebook use and college students' life satisfaction, trust, and participation. Journal of Computer-Mediated Communication, 14(4), 875–901.Google Scholar
  35. Valkenburg, P. M., Peter, J., & Schouten, A. P. (2006). Friend networking sites and their relationship to adolescents' well-being and social self-esteem. Cyberpsychology & Behavior, 9(5), 584–590.Google Scholar
  36. Wang, Z., Mathiyazhagan, K., Xu, L., & Diabat, A. (2016). A decision making trial and evaluation laboratory approach to analyze the barriers to green supply chain management adoption in a food packaging company. Journal of Cleaner Production, 117, 19–28.Google Scholar
  37. Wu, W. W. (2008). Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Systems with Applications, 35(3), 828–835.Google Scholar
  38. Yadegaridehkordi, E., Hourmand, M., Nilashi, M., Shuib, L., Ahani, A., & Ibrahim, O. (2018). Influence of big data adoption on manufacturing companies' performance: An integrated DEMATEL-ANFIS approach. Technological Forecasting and Social Change, 137, 199–210.Google Scholar
  39. Yang, H.-L., & Tang, J.-H. (2003). Effects of social network on students’ performance: A web-based forum study in Taiwan. Journal of Asynchronous Learning Networks, 7(3), 93–107.Google Scholar
  40. Yu, A. Y., Tian, S. W., Vogel, D., & Kwok, R. C.-W. (2010). Can learning be virtually boosted? An investigation of online social networking impacts. Computers & Education, 55(4), 1494–1503.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Sarminah Samad
    • 1
  • Mehrbakhsh Nilashi
    • 2
    Email author
  • Othman Ibrahim
    • 3
  1. 1.CBA Research Centre, Department of Business Administration, Collage of Business and AdministrationPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia
  2. 2.School of Computing, Faculty of EngineeringUniversiti Teknologi MalaysiaJohor BahruMalaysia
  3. 3.Azman Hashim International Business SchoolUniversiti Teknologi Malaysia (UTM)SkudaiMalaysia

Personalised recommendations