The Impact of Social Media Sites on Developing Consistently among Students to Achieve Responsible Behaviour: A Field Study for Students of Northern Border University
 
More details
Hide details
1
Ph.D., Faculty of Economic, Commercial and Management Sciences, University of Batna 1 – Algeria
 
2
Ph.D., Northern Border University,Saudi Arabia
 
3
Ph.D., Faculty of Economic, Commercial and Management Sciences, University of M’Hamed BOUGARA Boumerdes, Algeria
 
 
Online publication date: 2022-07-14
 
 
Management 2022;26(1):36-62
 
KEYWORDS
JEL CLASSIFICATION CODES
M10
D83
L10
M39
 
ABSTRACT
The aim of this study was to determine the influence of social media on students’ awareness of responsible behaviour during the COVID-19 pandemic. The field study was carried out with a sample of 726 students from Northern Border University. Data were collected from electronically retrieved questionnaires via various communication channels and analysed using hierarchical linear regression. The study found a relationship between the use of social media sites and awareness among students, affected by age differences. With the emergence of the COVID-19 pandemic, universities face the challenge of ensuring precautionary guidelines to prevent the virus are followed while educating their students, and social media plays a significant role in disseminating this information. Therefore, studying how social media helps develop students’ awareness can contribute to addressing some of the problems faced by decisionmakers in Saudi universities.
REFERENCES (31)
1.
Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage.
 
2.
Alahdal, H., Basingab, F., & Alotaibi, R. (2020). An analytical study on the awareness, attitude and practice during the COVID-19 pandemic in Riyadh, Saudi Arabia. Journal of infection and public health, 13(10), 1446-1452. doi:https://doi.org/10.1016/j.jiph....
 
3.
Al-Dmour, H., Salman, A., Abuhashesh, M., & Al-Dmor, R. (2020). Influence of social media platforms on public health protection against the COVID-19 pandemic via the mediating effects of public health awareness and behavioural changes: an integrated model. Journal of medical Internet research, 22(8),. DOI:10.2196/19996.
 
4.
Al-Hanawi, M. K., Angawi, K., Alshareef, N., Qattan, A. M., Helmy, H. Z., Abudawood, Y., & Alsharqi, O. (2020). Knowledge, attitude and practice toward COVID-19 among the public in the Kingdom of Saudi Arabia: a cross-sectional study. Frontiers in Public Health, 8. doi:10.3389/fpubh.2020.00217.
 
5.
Alhazmi, A., Ali, M. H., Mohieldin, A., Aziz, F., Osman, O. B., & Ahmed, W. A. (2020). Knowledge, attitudes and practices among people in Saudi Arabia regarding COVID-19: A cross-sectional study. Journal of Public Health Research, 9(3, 2. DOI:10.4081/jphr.2020.1867.
 
6.
Ameri, F., & Dutta, D. (2005). product Lifecycle Management: Closing the Knowledge Loops. Computer-Aided Design and Applications, 577–590.
 
7.
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 1173.
 
8.
Brosamler, G. A. (1988, November). In Mathematical Proceedings of the Cambridge Philosophical Society (Vol. 104, No. 3,), 561-574. doi:https://doi.org/10.1017/S03050....
 
9.
Budhwani, H., & Sun, R. (2020). Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data. Journal of Medical Internet Research, 22(5), e19301. DOI:10.2196/19301.
 
10.
Das, D., Shenoy, R., Mukherjee, M., Unnikrishnan, B., & Rungta, N. (2020). Awareness Among Undergraduate Students of Mangalore City Regarding Novel Coronavirus (COVID-19): A Questionnaire Study. Disaster Medicine and Public Health Preparedness, 1-4. DOI: https://doi.org/10.1017/dmp.20....
 
11.
Gaddis, G. M., & Gaddis, M. L. (1990). Introduction to biostatistics: Part 2, descriptive statistics. Annals of Emergency Medicine, 19(3), 309-315. doi:https://doi.org/10.1016/S0196-....
 
12.
Galasso, V., Pons, V., Profeta, P., & Becher, M. B. (2020). Gender differences in COVID-19 attitudes and behaviour: Panel evidence from eight countries. Proceedings of the National Academy of Sciences, 117(44), 27285-27291. doi:https://doi.org/10.1073/pnas.2....
 
13.
Glassy, E. F. (2010). The rise of the social pathologist: the importance of social media to pathology. Archives of pathology & laboratory medicine, 134(10), 1421-1423. doi: https://doi.org/10.1043/2010-0....
 
14.
Hennig-Thurau, T., & Klee, A. (1997). The impact of customer satisfaction and relationship quality on customer retention: A critical reassessment and model development. Psychology & Marketing, 14(8), pp. 737-764.
 
15.
Jacobs, R., Boyd, L., Brennan, K., & Sinha, C. K. (2016). The importance of social media for patients and families affected by congenital anomalies: A Facebook cross-sectional analysis and user survey. Journal of pediatric surgery, 51(11), 1766-1771. doi: https://doi.org/10.1016/j.jped....
 
16.
Jayaratne, T. E., & Stewart, A. J. (1991). Quantitative and qualitative methods in the social sciences. Beyond methodology: Feminist scholarship as lived research, 85-106.
 
17.
Khader, Y., Al Nsour, M., Al-Batayneh, O. B., Saadeh, R., Bashier, H., Alfaqih, M., & Al-Azzam, S. (2020). Dentists’ awareness, perception, and attitude regarding COVID-19 and infection control: a cross-sectional study among Jordanian dentists. JMIR public health and surveillance, 6(2), e18798. DOI:10.2196/18798.
 
18.
Korda, H., & Itani, Z. (2013). Harnessing social media for health promotion and behaviour change. Health promotion practice, 14(1), 15-23. doi:doi.org/10.1177/1524839911405850.
 
19.
Kotrlik, J. W., Bartlett, J. E., & Higgins, C. C. (2001). Organizational research: Determining the appropriate sample size in survey research appropriate sample size in survey research. Information technology. Learning, and performance journal, 19(1), 43.
 
20.
Liu, R. X., Kuang, J., Gong, Q., & Hou, X. L. (2003). Principal component regression analysis with SPSS. Computer methods and programs in biomedicine, 71(2), 141-147. doi:https://doi.org/10.1016/S0169-....
 
21.
Misra, A., & Shukla, J. (2015). Stability analysis and optimal control of an epidemic model with awareness programs by media. Biosystems 2015 Dec;138, 53-62.
 
22.
Nabavi, N. (2020). Long covid: How to define it and how to manage it. BMJ Webinar. DOI: https://doi.org/10.1136/bmj.m3....
 
23.
Nabity-Grover, T., Cheung, C. M., & Thatcher, J. B. (2020). Inside out and outside in: How the COVID-19 pandemic affects self-disclosure on social media. International Journal of Information Management, 55, 102188. doi:https://doi.org/10.1016/j.ijin....
 
24.
Nielsen, R. K., & Schrøder, K. C. (2014). The relative importance of social media for accessing, finding, and engaging with news: An eight-country cross-media comparison. Digital journalism, 2(4), 472-489. doi:https://doi.org/10.1080/216708....
 
25.
Oosterhoff, B. (2020). Psychological correlates of news monitoring, social distancing, disinfecting, and hoarding behaviors among US adolescents during the COVID-19 pandemic. doi:10.31234/osf.io/rpcy4.
 
26.
Preache, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of educational and behavioral statistics, 437-448.
 
27.
Rapp, A., Beitelspacher, L. S., Grewal, D., & Hugh. (2013). Understanding social media effects across seller, retailer, and consumer interactions. Journal of the Academy of Marketing Science, 41(5), 547-566.
 
28.
Ryu, E., West, S. G., & Sousa, K. H. (2009). Mediation and moderation: Testing relationships between symptom status, functional health, and quality of life in HIV patients. Multivariate behavioral research, 213-232.
 
29.
Thompson, S. K. (2012). sampling. (Third Edition ed.). Hoboken: WILEY.
 
30.
Veil, S. R., Buehner, T., & Palenchar, M. J. (2011). A work-in-process literature review: Incorporating social media in risk and crisis communication. Journal of contingencies and crisis management, 19(2), 110-122. doi:https://doi.org/10.1111/j.1468....
 
31.
West, S. G., Ryu, E., Kwok,, O. M., & Cham, H. (2011). Multilevel modeling: Current and future applications in personality research. Journal of Personality, 2-50.
 
eISSN:2299-193X
ISSN:1429-9321 (1997-2019)
Journals System - logo
Scroll to top