New IJM now accepts submissions exclusively via the Editorial Scholar portal — a dedicated submission & review system.
Go to Editorial Scholar →
Associated Management Consultants Pvt. Ltd. | COPE Member · ID: JM07589
Scopus Q3 UGC-CARE ABDC: C |
Indian Journal of Marketing logo

Indian Journal of Marketing

ISSN: 0973-8703 Frequency: Monthly Peer Review: Double-blind Published since: 1968 Language: English
A publication of AMCPL
amcon.co.in
New Delhi, India
Indexed in: Scopus Q3 UGC-CARE Group II ABDC: C Google Scholar J-Gate NAAS NISCAIR Crossref

Original Article

Open Access Original Article

The Impact of Social Networking Sites on College Students: A Survey Study in West Bengal

Arunangshu Giri1Wendrila Biswas2Debasish Biswas3

1 Associate Professor, School of Management & Social Science, Haldia Institute of Technology, Haldia, West Bengal

2 Assistant Professor, School of Management & Social Science, Haldia Institute of Technology, Haldia, West Bengal

3 Assistant Professor, Department of Business Administration, Vidyasagar University, West Bengal

Volume 48
Issue 8
Pages 7–23
Year 2018
Received: May 5, 2018 Accepted: July 20, 2018 Published: Aug. 1, 2018
Abstract

With technological progress in the past few decades, the digital era of blended technologiesof communication has made efficacious improvement across the globe. Social networkingsites or SNSs have had a major influence in this respect. The paper tried to analyzeempirically the overriding immense impact of SNSs on the student community which hastransformed their ways of learning and interacting and has bestowed a collective benefit onthem. The paper delved deep into which aspects of scholastic performance of collegestudents did the SNSs academically, socially, and behaviourally effect. Primary data wereused in the study and a descriptive research design was carried out with a formalizedquestionnaire. A structured questionnaire with 25 items was designed to determine thefactors of social networking sites that had an impact on the college students. On the basis ofsystematic random sampling technique, a sample of 200 students as respondents wasselected from different colleges of West Bengal. Statistical analysis was executed withexploratory factor analysis and confirmatory factor analysis. Structural equation modelingwas performed through AMOS-20 on the proposed conceptual model. The prime findings ofthe study showed that most of the factors identified brought positive development amongthe students. Behavioural aspects of students, as discussed in the study, did not have anyimpact on the comprehensive performance of the students. The study is of prominentimportance as the managements of colleges can help students to augment their academicactivities by providing a platform for SNSs which would also help them to socialize,associate, cooperate, and mix with the student fraternity as well as with the bigger world,thereby solidifying their overall accomplishments.

Keywords Social Networking Sites College Students Academic Social and Behavioural Aspects
How to Cite

Arunangshu Giri, Wendrila Biswas, Debasish Biswas (2018). The Impact of Social Networking Sites on College Students: A Survey Study in West Bengal. Indian Journal of Marketing, 48(8), 7–23. https://doi.org/10.17010/ijom/2018/v48/i8/130536

References
  1. Amin, Z., Mansoor, A., Hussain, S., & Hashmat, F. (2016). Impact of social media of student's academic performance. International Journal of Business Management Invention, 5 (4), 22-29.
  2. Boateng, R., & Amankwaa, A. (2016). The impact of social media on student academic life in higher education. Global Journal of Human-Social Science, 16 (4), 1-8.
  3. Boyd, D. (2007). Why youth (heart) social network sites: The role of networked publics in teenage social life. In D. Buckingham (ed.), MacArthur foundation series on digital learning-youth, identity & digital media volume (pp. 119-142). Cambridge : MIT Press.
  4. Chandel, A., Sethi, A., & Mishra, P.(2017). A comparative study of Facebook marketing practices of selected theme based restaurants in India. Indian Journal of Marketing, 47(12), 51-63. DOI: <a href=https//doi.dx.org/10.17010/ijom/2017/v47/i12/119901 target="_blank">https//doi.dx.org/10.17010/ijom/2017/v47/i12/119901</a>
  5. Cobb, N. J. (1995). Adolescence, continuity, change and diversity (2nd ed.). California, USA : McGraw-Hill Companies.
  6. Dabbagh, N., & Kitsantas, A. (2011). Personal learning environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning. Internet and Higher Education, 15 (1), 3-8.
  7. Dau, B. (2015). Social computing: A study assessing the impacts of social network addiction among the students in Northern Nigeria. Journal of Humanities and Management Sciences (IJHMS), 3 (1), 37-40.
  8. Field, A. P. (2009). Discovering statistics using SPSS & sex and drugs and rock 'n' roll (3rd ed). London: Sage.
  9. Goel, D., & Singh, M. (2016). Impact of students' attitude towards social media use in education on their academic performance. AIMA Journal of Management and Research, 10 (2/4), 1-14.
  10. Gok, T. (2016). The effects of Social networking sites on students' studying and habits. International Journal of Research in Education and Science (IJRES), 2 (1), 85-93.
  11. Gross, R., & Acquisti, A. (2005). Information revelation and privacy in online social networks (The Facebook case). In Proceedings of the 2005 ACM Workshop on Privacy in the Electronic Society, WPES'05. Retrieved from <a href=https://www.heinz.cmu.edu/~acquisti/papers/privacy-facebook-gross-acquisti.pdf target="_blank">https://www.heinz.cmu.edu/~acquisti/papers/privacy-facebook-gross-acquisti.pdf</a>
  12. Hada, B., & Gairola, S. (2015). Importance of social networking sites in e-recruitment. International Journal of Technology Enhancements and Emerging Engineering Research, 3 (7), 91-95.
  13. Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ : Prentice-Hall, Inc.
  14. Hughes, A. L., & Palen, L. (2009). Twitter adoption and use in mass convergence and emergency events. International Journal of Emergency Management, 6 (3/4), 248-260. DOI: <a href=https//doi.dx.org/10.1504/IJEM.2009.031564 target="_blank">https//doi.dx.org/10.1504/IJEM.2009.031564</a>
  15. Junco, R., Heibergert, G., & Loken, E. (2011). The impact of social media and social networks on education and students of Pakistan. IJCSI International Journal of Computer Science, 9 (1), 407-410.
  16. Kuppuswamy, S., & Narayan, P. (2010). The impact of social networking websites on the education of youth. International Journal of Virtual Communities and Social Networking, 2 (1), 67-79.
  17. Levin, D.Z., & Cross, R. (2004). The strength of weak ties you can trust: The mediating role of trust in effective knowledge transfer. Management Science, 50 (11), 1477-1490.
  18. Livingstone, S. (2008). Taking risky opportunities in youthful content creation: teenagers' use of social networking sites for intimacy, privacy and self expression. New Media and Society, 10 (3), 393-411 DOI:<a href= https//doi.dx.org/10.1177/1461444808089415 target="_blank"> https//doi.dx.org/10.1177/1461444808089415</a>
  19. Madge, C., Meek, J., Wellens, J., & Hooley, T. (2009). Facebook, social integration and informal learning at university: 'It is more for socializing and talking to friends about work than for actually doing work.' Learning, Media and Technology, 34 (2), 141-155.
  20. Mhunpiew, N., & Purayidathil, J. (2015). Social network as a tool for education: An awareness of school leaders. US-China Education Review, 5 (2), 135-141. DOI: <a href=https//doi.dx.org/10.17265/2161-623X/2015.02.006 target="_blank">https//doi.dx.org/10.17265/2161-623X/2015.02.006</a>
  21. Morollo, I. (2014). The effects of social networking sites on students' academic performance in Lyceum of the Phillipines – Laguna. Graduate School Research, 7 (2), 16-28.
  22. Olowu, A. O., & Seri, F. O. (2012). A study of social network addiction among youths in Nigeria. Journal of a Social Science and Polity, 4 (1), 62-71.
  23. Pew Research Internet Project. (2013). Frequency of social media use. Washington, D.C.: Pew Research Center.
  24. Revere, L., & Kovach, J.V. (2011). Online technologies for engaged learning: A meaningful synthesis foe educators. Quarterly Review of Distance Education, 12 (1), 113-124.
  25. Rovai, A.P. (2002). Sense of community, perceived cognitive learning, and persistence in asynchronous learning networks. The Internet Higher Education, 5(1), 319-332.
  26. Sherchan, W., Nepal, S., & Paris, C. (2013). A survey of trust in social networks. ACM Computing Surveys, 45 (4), 1-33.
  27. Shimpi, S. S. (2018). Social media as an effective marketing tool: An empirical study. Indian Journal of Marketing, 48 (7), 36-50. DOI: <a href= https//doi.dx.org/10.17010/ijom/2018/ v48/i7/129725 target="_blank"> https//doi.dx.org/10.17010/ijom/2018/ v48/i7/129725</a>
  28. Srivastava, P. (2012). Social networking and its impact on education system in contemporary era. International Journal of Information Technology Infrastructure, 1 (2), 11-18.
  29. Timm, C., & Perez, R. (2010). Seven deadliest social network attacks. Burlington, MA: Syngress Publishing, Inc.
  30. Usman, S. (2015). A survey on students' preference in knowledge sharing tools to support learning in higher education. Journal of Advanced Management Science, 3 (4), 350-353.
  31. Wang, Q., Chen, W., & Liang, Y. (2011). The effects of social media on college students (MBA Student Scholarship, Paper 5). Retrieved from <a href=http://scholarsarchive.jwu.edu/mba_student/5/ target="_blank">http://scholarsarchive.jwu.edu/mba_student/5/</a>
  32. Yadav, M. (2017). Social media as a marketing tool: Opportunities and challenges. Indian Journal of Marketing, 47 (3), 16-28. DOI: <a href=https//doi.dx.org/10.17010/ijom/2017/v47/i3/111420 target="_blank">https//doi.dx.org/10.17010/ijom/2017/v47/i3/111420</a>
Editorial Scholar

Submit your Research to IJM

Submit your Manuscript → Author Guidelines