COVID-19 and Adoption of Webinars: Empirical Perspectives from Nigerian Small and Medium Enterprises

Authors

  • O. Bello  Polytechnic Programmes Department, National Board for Technical Education, Kaduna, Nigeria
  • O. A. Yahaya  Department of Accounting and Management, Nigerian Defence Academy, Kaduna, Nigeria

DOI:

https://doi.org//10.32628/IJSRSET218266

Keywords:

Coronavirus, Effort expectancy, Facilitating conditions, Performance expectancy, Social influence

Abstract

This study examines the factors driving the adoption of webinars among small and medium enterprises (SMEs) in the midst COVID-19 pandemic to hold meetings, training events and sharing business ideas and information. The study used survey questionnaires to obtain data from respondents based on a modified Unified Theory of Acceptance and Use of Technology (UTAUT) model. Results of the regression analysis show that performance expectancy is the most important determinant of webinar adoption during the COVID-19 pandemic. Based on the findings of the study, it is deduced that SMEs adopted webinars due to their perception that it improves their performance, increases their social status, adapts easily with their existing infrastructures and gives them positive feelings of pleasure and achievements.

References

  1. F. Di Gennaro, D. Pizzol, C. Marotta, M. Antunes, V. Racalbuto, N. Veronese and L. Smith, “Coronavirus diseases (COVID-19) current status and future perspectives: a narrative review.” International Journal of Environmental Research and Public Health, vol. 17, no. 9, pp. 2690-2698, 2020.
  2. Johns Hopkins Coronavirus Resource Center (2021). COVID-19 Data in motion. Retrieved from https://coronavirus.jhu.edu
  3. K. Goniewicz, A. Khorram-Manesh, A.J. Hertelendy, M. Goniewicz, K. Naylor and F.M. Burkle, “Current response and management decisions of the European Union to the COVID-19 outbreak: a review,” Sustainability, vol. 12, no. 9, pp. 3838, 2020.
  4. J.J. Cavallo and H.P. Forman, “The economic impact of the COVID-19 pandemic on radiology practices,” Radiology, vol. 296, no. 3, pp. 141-144, 2020.
  5. L. Corey, J.R. Mascola, A.S. Fauci, & F.S. Collins, “A strategic approach to COVID-19 vaccine R&D” Science, vol. 368, no. 6494, pp. 948-950, 2020.
  6. V.J. Lee, C.J. Chiew, and W.X. Khong, “Interrupting transmission of COVID-19: lessons from containment efforts in Singapore,” Journal of travel medicine, vol. 27, no. 3, taaa039, 2020.
  7. A.J. Gadzinski, J.L. Gore, C. Ellimoottil, A.Y. Odisho and K.L. Watts. “Implementing telemedicine in response to the COVID-19 pandemic”. Available: https://www.auajournals.org/doi/pdf/10.1097/JU.0000000000001033, 2020.
  8. P. Lieser, S.D. Taf and A. Murphy-Hagan, “The Webinar Integration Tool: A Framework for promoting Active Learning in Blended Environments,” Journal of Interactive Media in Education, vol.1, no.7, pp. 1–8, DOI: https://doi.org/10.5334/jime.453, 2018.
  9. H.H. Nadama, M. Tennyson, and A. Khajuria, “Evaluating the usefulness and utility of a webinar as a platform to educate students on a UK clinical academic programme,” The Journal of the Royal College of Physicians of Edinburgh, vol. 49, no. 4, pp. 317-322, 2019.
  10. R.L. Humphrey, C.S. LeGrand, and D.F. Beard, “How to host a successful webinar,” Strategic Finance, vol. 95, no. 1, pp. 31-38, 2013.
  11. Z.V. Smirnova, N.V. Kamenez, O. Vaganova, L.I. Kutepova & E.V. Vezetiu, “The experience of using the webinar in the preparation of engineering specialists. Amazonia Investiga, vol. 8, no. 18, pp. 279-287, 2019.
  12. N. Bedford Webinar best practices. 2016. Available: http://dx.doi.org/10.22215/cfice-2016-06
  13. A. Gegenfurtner, A. Zitt, and C. Ebner, “Evaluating webinar?based training: a mixed methods study of trainee reactions toward digital web conferencing,” International Journal of Training and Development, vol. 24, no. 1, pp. 5-21, 2020.
  14. V. Venkatesh, M.G. Morris, G.B. Davis, and F.D. Davis, “User acceptance of Information Technology: Toward a unified view” MIS Quarterly, vol. 27, no. 3, pp. 425–478, 2003.
  15. E. Korpelainen. Theories of ICT system implementation and adoption – A critical review, 2011. Available: http://lib.tkk.fi/SCIENCE_TECHNOLOGY/2011/isbn9789526041506.pdf.
  16. K.P. Chumo, and D.K. Kessio, “Use of UTAUT model to assess ICT adoption in Kenyan Public Universities,” Information and Knowledge Management, 5(12), 79-83, 2015.
  17. K.M. Maina and D.M.N. Nzukim, “Adoption determinants of e-learning management system in Institutions of Higher learning in Kenya: A case of selected Universities in Nairobi Metropolitan,” International Journal of Business and Social Science, 6(2), 233-248, 2015.
  18. J. Liebenberg, T. Benade and S. Ellis, “Acceptance of ICT: Applicability of the Unified Theory of Acceptance and Use of Technology (UTAUT) to South African students”, The African Journal of Information Systems, vol. 10, no. 3, pp. 1-15, 2018. Available: htps://digitalcommons.kennesaw.edu/ajis/vol10/iss3/1
  19. V. Venkatesh and F.D. Davis, “A theoretical extension of the technology acceptance model: Four longitudinal field studies” Management Science, vol. 46, no. 2, pp. 186–204., 2000.
  20. B. Gupta, S. Dasgupta and A. Gupta, “Adoption of ICT in a government organization in a developing country: An empirical study,” Journal of Strategic Information Systems, no. 17, pp. 140-154, 2008.
  21. S.N. Attuquayefio and H. Addo, “Using the UTAUT model to analyze students’ ICT adoption,” International Journal of Education and Development Using Information and Communication Technology, vol. l, no. 3, pp. 75-86, 2014.
  22. M.N. Alraja, S. Hammami, B. Chikhi and S. Fekir, “The Influence of effort and performance expectancy on employees to adopt e-Government: evidence from Oman,” International Review of Management and Marketing, vol. 6, no. 4, 2016.
  23. A.M. Ibrahim, M.A. Adamu and M. Gujbawu, Analysis of the expectation of effort expended when ICT is used in academic learning activity: Influence of effort expectancy and moderating role of experience, MCC, vol. 1. No. 1, pp. 19-38, 2017.
  24. Y. Sun, N. Wang, X. Guo, and Z. Peng, Understanding the acceptance of mobile health services: A comparison and integration of alternative models, Journal of Electronic Commerce Research, vol. 14. No. 2, pp. 183-200, 2013.
  25. X. Jie, Q. Sadja and N. Lotfollah, Factors that a?ect Information and Communication Technology adoption by small businesses in China. Proceedings of the 19th Americas Conference on Information Systems, Chicago, United States of America, 2013. Available: https://pdfs.semanticscholar.org/3939/8b485351e9adee22ba1ab55a7ffee
  26. N.D. Oye, N. A. Iahad and N.R. Ab. Rahim, “The impact of UTAUT Model and ICT theoretical frameworks in University academic staff: Focus on Adamawa State University, Nigeria,” International Journal of Computer and Technology, 2(2) 102–111, 2012.
  27. S.L. Chua, D.T. Chen and A.F. Wong, “Computer anxiety and its correlates: a meta-analysis,” Computers in human behavior, vol. 15, no. 5, pp. 609-623, 1999.
  28. J.F. Hair, W.C. Black, A.L. Babin and R.L. Tatham, Multivariate Data Analysis. (6thed.). New Jersey Pearson: Prentice Hall, 2006.
  29. K.J. Paul, M. Musa and A.K. Nansubuga, “Facilitating condition for E-learning adoption—Case of Ugandan universities”, Journal of Communication and Computer, vol. 12, no. 5, pp. 244-249, 2015.
  30. A. Ibrahim, M. Adu-Gyamfi and B.A. Kassim, “Factors affecting the adoption of ICT by administrators in the University for Development Studies, Tamale: Empirical evidence from the UTAUT Model” International Journal of Sustainability Management and Information Technologies, vol. 4, no.1, pp. 1-9, 2018.
  31. S. Alshmrany and B. Wilkinson, “Factor influencing the adoption of ICT by teachers in primary schools in Saudi Arabia,” International Journal of Advanced Computer Science and Applications, vol. 8, no. 12, pp. 143-156, 2017.

Downloads

Published

2021-04-30

Issue

Section

Research Articles

How to Cite

[1]
O. Bello, O. A. Yahaya, " COVID-19 and Adoption of Webinars: Empirical Perspectives from Nigerian Small and Medium Enterprises, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 2, pp.264-278, March-April-2021. Available at doi : https://doi.org/10.32628/IJSRSET218266