Enhancing Social Networking Technologies Adoption through Perceived Usefulness: The setting of Ugandan Institutions of Higher Learning

Authors

  • Keefa Bwiino Makerere University Business School
  • Geoffrey Mayoka Kituyi Information & Communication Technology University, Cameroon
  • Ibrahim A Musenze

Keywords:

Key Words, Social Networking Technologies, Perceived Usefulness, Technology Acceptance Model, User Generated Content, SNT Adoption

Abstract

Social Networking Technologies (SNTs) play a major role in education by improving student academic performance through informal learning. The purpose of this study was to examine the influence of Perceived Usefulness on the adoption of Social Networking Technologies in institutions of higher learning in Uganda. A cross sectional survey methodology was employed to gather data from 146 institutions of higher learning on the variables captured by the modified Perceived Usefulness construct of the Technology Acceptance Model. Results of correlation and regression analysis indicated that a positive and significant relationship exists between Perceived Usefulness and SNTs adoption. These findings have theoretical implications for models of SNTs adoption and practical interventions designed at increasing use of SNTs. The findings of this study suggests that managers of higher institutions of learning should advice users on the usefulness of SNTs adoption in learning so as to improve on their academic job performance, increase productivity and enhance effectiveness in teaching and learning in institutions of higher learning in Uganda.

Author Biographies

Keefa Bwiino, Makerere University Business School

Bwiino Keefa is an Assistant Lecturer of ICT in the Department of Marketing and Management at the Makerere University Business School.

Geoffrey Mayoka Kituyi, Information & Communication Technology University, Cameroon

Kituyi is an Assistant Professor of ICT at The ICT University, Cameroon

References

Agarwal, R & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences 1999;30(2):361–91.

Amin, M. (2005). Social science research conception, methodology and analysis. Kampala: ICT University Printery.

Ayman, B, N. (2013): Understanding factors affecting the adoption of M-Commerce by consumers: Journal of Applied Sciences 13(6): 913 – 918

Azam, S & Mohammed, Q (2009): Adoption of e-Commerce by the SMEs in Bangladesh: The Effects of Innovation Characteristics and Perceived Risk: ANZMAC 2009

Bagozzi, R. (2007). ‘The legacy of the technology acceptance model and proposal for paradigm shift. Journal of the Association for Information Systems, 8 (4), 244-254.

Buabeng-Andoh, C. (2012). Factors influencing teachers’ adoption and integration of information and communication technology into teaching: A review of the literature. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 2012, Vol. 8, Issue 1, pp. 136-155.

Chung, J, E., Park, N., Wang, H., Fulk, J., & McLaughlin, M (2010): Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model: Computers in Human Behavior 26 (2010) 1674–1684

Davis, F. (1989). User acceptance of computer technology: a comparison of two theoretical models’. Management Science, 37 (8), 982-1002.

Freedom on the Net. (2014, May 2014). Retrieved July 2, 2015, from Freedom on the Net: http://www.freedomhouse.org/report/freedom-net/freedom-net-2014#.VbVMI-ZjTMs

Greenhow, C., & Burton, L. (2011). Help from my “friends:†social capital in the social network sites of low-income high school students. Journal of Educational Computing Research, 45(2), 223–245.

Grover, A., & Stewart, D. W. (2010). Defining interactive social media in an educational context. In C. Wankel & M. Marovich & J. Stanaityte (Eds.), Cutting edge social media approaches to business education: Teaching with LinkedIn, Facebook, Twitter, Second Life and Blogs. Charlotte: Information Age Publishing.

Gulbahar, Y., & Guven, I. (2008). A Survey on ICT Usage and the Perceptions of Social Studies Teachers in Turkey. Educational Technology & Society, 11 (3), 37-51.

Henderson, R., and Megan J. Divett (2003). Perceived usefulness, ease of use and electronic supermarket use. International Journal of Human-Computer Studies, 59, 383-395.

Hoffman, E. (2009). Social media and learning environments: Shifting perspective on the locus of control in education. Special Issue Technology & Social Media, 2 (15).

Huo, Y., Zhang, P., Ma, L., & Zhang B(2011) :The influencing factors of Chinese farmers adopt m-commerce services: social network perspective: International Journal of Innovative Computing, Information and Control: Volume 7, Number 6, June 2011: 3559 – 3570

Hussain, I., Gulrez, N., & Tahirkheli, S. (2012). Academic Use of Social Media: Practices and Problems of University Students. International Conference on Education and Management Innovation (pp. 1-6). IACSIT Press, Singapore.

Junco, R. (2012). The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Computers & Education, Vol.58, pp.162–171.

Junco, R., Elavsky, C. M., & Heiberger, G. (2012). Putting Twitter to the test: assessing outcomes for student collaboration, engagement and success. British Journal of Educational Technology, 44(2), 273–287.

Kaasinen, E (2005): User acceptance of mobile services– value, ease of use, trust and ease of adoption: Thesis for the degree of Doctor of Technology to be presented with due permission for the public examination and criticism in Tietotalo Building, Auditorium TB104 at Tampere University of Technology, on the 22nd of June 2005 at 12 o´clock noon

Khayati, S (2013): Perceived Usefulness and Use of Information Technology: the Moderating Influences of the Dependence of a Subcontractor towards His Contractor: Journal of Knowledge Management, Economics and Information Technology: Vol. III, Issue 6 December 2013

Kingsly, A., Kofi, A., & Yeboah, C. (2013). A conceptual Framework of Social Networking Technologies adoption in Teaching- A case of Ghana. Elsevier, 561-592.

Ko, C., Yen, J., Chen, C. S., Chen, C. C., & Yen, C. (2008). Psychiatric comorbidity of Internet addiction in college students: An interview study. CNS Spectra., 13(2), 147-153.

Lee, D., Park, J., & Ahn, J. (2000): On the explanation of factors affecting e-commerce adoption. Working Paper Last Revised 2000.

Masoodul, H., Rehana, K., Syed, S, A., & Muhammad, A(2014): Consumer Attitudes and Intentions to Adopt Smartphone Apps: Case of Business Students: Pakistan Journal of Commerce and Social Sciences 2014, Vol. 8 (3), 763-779

Meng, X. (2013): Proceedings of the 30th International Conference on Machine Learning, Atlanta, Georgia, USA, 2013. JMLR: W&CP volume 28.

Mortimer, Gary (2015): Determining the drivers of m-banking adoption: A cross cultural study. In AM2015 Academy of Marketing Conference: The Magic in Marketing, 7 - 9 July 2015, Limerick, Ireland

Munguatosha, G. M., Muyinda, P. B., & Lubega, J. T. (2011). A social networked learning adoption model for higher education institutions in developing countries. On the Horizon, 307-320.

Ndekwa, A, G (2014): Factors Influencing Adoption of Information and Communication Technology (ICT) among Small and Medium Enterprises (SMEs) in Tanzania: IRACST- International Journal of Research in Management & Technology (IJRMT), ISSN: 2249-9563 Vol. 4, No.5, October 2014

Nicolaou, A, I., & McKnight, D, H. (2006). Perceived Information Quality in Data Exchanges Information Systems Research 17(4), pp. 332–351.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory. Sydney, Australia: McGraw Hill.

Park, S. Y. (2009). An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning. Educational Technology & Society, 12 (3), 150–162.

Reuben, R. (2012). The Use of Social Media in Higher Education for Marketing and Communications: A Guide for Professionals in Higher Education. Elsevier

Rose, J., and Fogarty, G. J., (2006). Determinants of perceived usefulness and perceived ease of use in the technology acceptance model: senior consumers’ adoption of self-service banking Technologies. Marketing and Management Development, Vol.2, No.10, pp. 122-129.

Rouis, S. (2012). Impact of Cognitive Absorption on Facebook on Students’ Achievement. Cyber psychology, Behavior, And Social Networking, Vol.15 (6), 2012, pp. 296-303.

Sakarkar, G., Deshpande, S. P., & Thakare, V. M. (2014). An online social networking architecture using context data for effective e-learning systems. In Proceedings of the 2nd Int. Conf. on Emerging Research in Computing, Information, Communication and Applications (pp. 33–39).

Shen, J., Li, L., Dietterich, T. G., and Herlocker, J. L. “A hybrid learning system for recognizing user tasks from desktop activities and email messages.†Proceedings of the 11th International Conference on Intelligent User Interfaces, 2006.

Shroff, R. H., Deneen, C. C., & Eugenia, M. W. (2011). Analysis of the technology acceptance model in examining students’ behavioural intention to use an e-portfolio system. Australasian Journal of Information Technology, 600-618.

Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, ( ), 273-315.

Venkatesh, V., & Davis, F. (2012). The Technology Acceptance Model Extension for Information Management Systems. Journal of Computer and Information Technology, 50-73.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science.

Venkatesh, V., Morris, M. G., Davis, F. D., & Davis, G. B. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.

Wang C, Runsheng F , Kyungsoo P, Yuqiang F, Zhenhua L, Yonghao C (2012): Perceived Usefulness, Perceived Security and Adoption of Mobile Government: An Empirical Research. Advances in information Sciences and Service Sciences (AISS), Volume4, Issue 6.

Wang, C., Runsheng, F., Kyungsoo, P., Yuqiang, F., Zhenhua, L., Yonghao, C. (2012). Perceived Usefulness, Perceived Security and Adoption of Mobile Government: An Empirical Research. Advances in information Sciences and Service Sciences (AISS), Volume4, Issue 6.

Yamane, T. (1967). Statistics, An Introductory Analysis (2nd ed.). New York: Harper and Row.

Yang, H. D., & Yoo, Y. (2004). It’s all about attitude: Revisiting the technology acceptance. Decision Support System, 38, 19-31.

Zanamwe, N., Rupere, T., & Kufandirimbwa, O. (2013). Use of Social Networking Technologies in Higher Education in Zimbabwe: A learners’ perspective. International Journal of Computer and Information Technology, 2 (1), 8-18.

Downloads

Published

2016-10-16

How to Cite

Bwiino, K., Kituyi, G. M., & Musenze, I. A. (2016). Enhancing Social Networking Technologies Adoption through Perceived Usefulness: The setting of Ugandan Institutions of Higher Learning. Asian Journal of Computer and Information Systems, 4(5). Retrieved from https://ajouronline.com/index.php/AJCIS/article/view/4076