Review of Professional Management- A Journal of New Delhi Institute of Management

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Factors Triggering Usage of Social Networks: An Empirical Study in West Bengal


Affiliations
1 Assistant Professor, Institute of Management Study, MAKAUT, India
2 Professor, Department of Commerce and Director (IQAC), University of Calcutta, India
 

The paper is a study on Social Networks (SN) currently being used regularly by hundreds of millions of people worldwide–its usage patterns with respect to demographic characteristics, emotive issues and other functional factors such as health, politics, education, Business, work place and Cybercrime. Usage of SN has analyzed between three emotive factors e.g. loneliness, happiness, interpersonal with respect to functional factors viz., Health, Politics, Education, Business, Workplace and cybercrime. Also investigations have been done on differential impacts of social media usages on both demographic profiles and personality traits with respect to all nine attributes. Respondents of the study are mostly urban, young adults, single, belonging to nuclear families, gender wise more or less evenly divided, educationally graduate or postgraduate, mostly students or in service, with a majority earning up to Rs 20,000, though a significant 22.4% of them have incomes above Rs.100,000 pm. A majority of the respondents use social media between 2-4 hours, mostly between 9pm-12 midnight and mostly resort to smart phone for social media usage. Descriptive Statistics indicate that among the respondents loneliness factor and promoting interpersonal relationships are not so much important for using SN, while SN usage helps enhance their happiness, obtain education, health related information, expand their business, their workplace related activities, remain politically engaged and finally, help remain appraised on cybercrimes.

Keywords

Social Networks, Personality Traits, Descriptive Statistics, Dependency and Social Networks Usage Factors.
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  • Ali J. (2016), The unreal world, Chicago School of professional Psychology, https://www.thechicagoschool.edu/insight/from-themagazine/ a-virtual-life/

  • Amatenstein, S., and LCSW (2019). Not So Social Media: How Social Media Increases Loneliness. Retrieved from https://www.psycom.net/how-social-media-increases-loneliness/

  • Amichai-Hamburger, Y. (2002). Internet and Personality, Computers in Human Behavior, 18(1).1-10.

  • Bevin, J. (September 11, 2019). Can Social Media Bring Happiness in Your Life. Retrieved from https://thriveglobal.com/stories/cansocial media-bring-happiness-in-your-life/

  • Bouchard, J. (2003). Genetic And Environmental Influences on Human Psychological Differences, Journal of Neurobiology, 54(1). 4-45.

  • Cain, J. (2011). Social Media in Health Care: The Case for Organizational Policy and Employee Education, American Journal of Health-System Pharmacy, 68(11). 1036-40.

  • Casselbury, K. (June 28, 2018). The Impact of Social Media in the Workplace Pros and Cons. Retrieved from https://work.chron.com/impact-social-media-workplace-proscons 22611.html

  • Foreman, C. (2017). 10 Types of Social Media and How Each Can Benefit Your Business June 20, https://blog.hootsuite.com/types-ofsocial media/

  • Gainous, J. and Wagner, K. M. (2013). Tweeting to Power: The Social Media Revolution in American Politics. Retrieved from https://oxford.universitypressscholarship.com/view/10.1093/acprof:oso/9780199965076.001.0001/acprof-9780199965076

  • Goldberg, L. R. (1990). An Alternative "Description of Personality": The Big-Five Factor Structure. Journal of Personality and Social Psychology, 59(6). 1216–1229.

  • John, O. P., & Srivastava, S. (1999). The Big Five Trait Taxonomy: History, Measurement, and Theoretical Perspectives. Handbook of Personality: Theory and Research,

  • Guilford Press, Edition II. Retrieved from https://pages.uoregon.edu/sanjay/pubs/bigfive.pdf

  • Hamburger, Y. A., and Ben-Artzi, E. (2000). The Relationship between Extraversion and Neuroticism and the Different Uses of the Internet. Computers in Human Behavior, 16(4). 441–449.

  • Korda, H. & Itani, Z. (2013) . Harnessing Social Media for Health Promotion and Behavior Change. Health Promotion Practice, 14(1). 15-23.

  • Marsden, P. (2018). Social Media and The Happiness Paradox – It’s Not You, It’s them. Retrieved from https://digitalwellbeing.org/socialmedia and-the-happiness-paradox-its-notyou-its-them/

  • Mc Crae, R. and Costa, P. (1997). Conceptions and Correlates of Openness to Experience. Handbook of Personality Psychology, Chapter 31. 825-847. Retrieved from https://www.sciencedirect.com/science/article/pii/B9780121346454500329

  • McKenna, K. Y. A., Green, A. S. and Gleason, M. E. J. (2002). Relationship Formation on the Internet: What’s the Big Attraction, Journal of Social, 58(1). 9-31.

  • Nosko, A., Wood, E. and Molema, S. (2010). All About Me: Disclosure in Online Social Networking Profiles: The Case of FACEBOOK, Computers in Human Behavior, 26(3). 406-418.

  • Pagan, N. (2019) Behavioral and social Science, Doctoral Student, ETH Zürich - Automatic Control Laboratory,https://socialsciences.nature.com/posts/55507-can-socialnetwork structure-reveal-human-behavior

  • Robert A. Hanneman and Mark Riddle (2005) Introduction to social network methods: Riverside University of California, http://faculty.ucr.edu/~hanneman/

  • Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009). Personality and Motivations Associated with Facebook Use. Computers in Human Behavior, 25(2). 578-586.

  • Saini, N., Sangwan, G., Verma, M., Kohli, A., Kaur, M. and Lakshmi P. V. M (2020). Effect of Social Networking Sites on the Quality of Life of College Students: A Cross-Sectional Study from a City in North India, The scientific world journal, 1-8. https://doi.org/10.1155/2020/857602.

  • Smith, K. (August 1, 2019). The Importance of Social Media in Business. Retrieved from https://www.lyfemarketing.com/blog/importance-social-media-business/.

  • Suciu, P. (2019). Why Quitting Social Media May Not Make You Happier. Retrieved from https://www.forbes.com/sites/petersuciu/2019/12/06/why-quittingsocial med ia-may-not-make-youhappier/#76de4f4337c5.

  • Thomas, Sherry (2016). On a virtual life: How social media changes our perceptions, Insight, Chicago School of Psychology, October 7, 2016.

  • Wall, D. S. (2008). Cybercrime, Media and Insecurity: The Shaping of Public Perceptions of Cybercrime, International Review of Law, Computers & Technology: Crime and Criminal justice, 22(1-2). 45 63.

  • Zywica, J. and Danowski, J. (2008). The Faces of Facebookers: Investigating Social Enhancement and Social Compensation Hypotheses; Predicting Facebook and Offline Popularity from Sociability and Self-Esteem, and Mapping the Meanings of Popularity with Semantic Networks, Journal of Computer-Mediated Communication, 14(1). 1-34.


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  • Factors Triggering Usage of Social Networks: An Empirical Study in West Bengal

Abstract Views: 456  |  PDF Views: 169

Authors

Moumita Dey
Assistant Professor, Institute of Management Study, MAKAUT, India
J. K. Das
Professor, Department of Commerce and Director (IQAC), University of Calcutta, India

Abstract


The paper is a study on Social Networks (SN) currently being used regularly by hundreds of millions of people worldwide–its usage patterns with respect to demographic characteristics, emotive issues and other functional factors such as health, politics, education, Business, work place and Cybercrime. Usage of SN has analyzed between three emotive factors e.g. loneliness, happiness, interpersonal with respect to functional factors viz., Health, Politics, Education, Business, Workplace and cybercrime. Also investigations have been done on differential impacts of social media usages on both demographic profiles and personality traits with respect to all nine attributes. Respondents of the study are mostly urban, young adults, single, belonging to nuclear families, gender wise more or less evenly divided, educationally graduate or postgraduate, mostly students or in service, with a majority earning up to Rs 20,000, though a significant 22.4% of them have incomes above Rs.100,000 pm. A majority of the respondents use social media between 2-4 hours, mostly between 9pm-12 midnight and mostly resort to smart phone for social media usage. Descriptive Statistics indicate that among the respondents loneliness factor and promoting interpersonal relationships are not so much important for using SN, while SN usage helps enhance their happiness, obtain education, health related information, expand their business, their workplace related activities, remain politically engaged and finally, help remain appraised on cybercrimes.

Keywords


Social Networks, Personality Traits, Descriptive Statistics, Dependency and Social Networks Usage Factors.

References





DOI: https://doi.org/10.20968/rpm%2F2020%2Fv18%2Fi2%2F156854