Assessing the Dimensionalities of E-Mail Utilisation Among Open and Distance Learning Practitioners in Nigeria: A Structural Modelling Equation Approach
Keywords:
Technology utilisation, satisfaction and performance model, electronic mail utilisation, ODL practitioners, open and distance learningAbstract
The adoption and utilisation of information technologies has great impacts on productivity and performance in workplaces. In the open and distance learning environment, the utilisation of the electronic mail system by institutions of higher learning remains one viable and dependable options for an efficient communication system. But the poor usage attitude of most users within some organisations despite its availability and convenience calls for concern. Coincidentally, utilisation behaviour remains weakly conceptualised despite its critical role in the field of information systems. The data employed for the analysis were obtained through a well-designed questionnaire based on survey method administered through staff email. The respondents were chosen by purposeful sampling focusing on academic, non-academic and technical staff of the National Open University of Nigeria (NOUN) resident at both the corporate headquarters and the study centres using a sample size of 95 staff. Through a structural equation modelling (SEM) approach using smart partial least square (PLS), the sampled data were collected and analysed using the technology utilisation, satisfaction and performance model (TUSPEM) as the theoretical framework for the study. Results from the study found significant relationship between email technologies fit and staff attitude towards using the technology. The association between staff attitude towards using email system, perceived usefulness and ease of use of the technology and staff individual habit as they affect email utilisation was also supported. Testing for the fit, usefulness, ease of use of technologies, users' attitude towards using information technologies and other critical factors using the TUSPEM model in both mandatory and non-mandatory usage environment is highly recommended. Periodic training of new and old staff on modem technologies adopted by institutions is equally recommended for improved productivity in workplaces.
References
Bagozzi, R. P. (2007). “The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift”. Journal of the Association for Information Systems 8(4): 244-254.Bandura, A. (1977). “Self-efficacy: Toward a unifying theory of behavioural change" Psychological Review, 84(2): 191-215.
Benbasat, I., & Barki, H. (2007). “Quo Vadis, TAM?”. Journal of the Association for Information Systems 8 (4): 211 -218.
Burton-Jones A. & Straub, D. W. (1998). “Reconceptualising system Usage: An Approach Study of E-commerce adoption”. Journal of the Association for Information Systems, 1 (8): 1 -28.
Chin, W. “The Partial Least Squares Approach to Structural Equation Modelling”. In: G.A. (Ed.). Modern Methods for Business Research, London, pp. 295-336.
Compeau D. R. & Higgins, C. A. (1985). “Application of social cognitive theory to Training for Computer Skills" Information Systems Research, 6(2): 118-143.
Dahlstrom, E., Walker, J. D., & Dziuban, C. (2013). “The ECAR Study of Undergraduate Students and Information Technology”. EDUCAUSE Center for Applied Research.
Davis, F.D.; Bagozzi, R.P. & Warshaw, P.R. (1989). “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models". Management Science, 35(8): 982-1003.
Fishbein, M. & Ajzen, I. (1975). Belief, Attitude, Intention, and Behaviour: An Introduction to Theory and Research Reading. Mass, Don Mills, Ontario: Addison-Wesley Pub. Co.
Fomell, C. & Larcker, D. (1981). “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error" J. Market. Res., 18(3): 39-50.
Gefen D. & Straub, D. “The Relative Importance of Perceived Ease of Use in IS Adoption”.?! Management Practice, 9(3): 1-28
Goodhue D. & R. Thompson (1995). “Task Technology Fit and Individual Performance”. MIS Quarterly, 19 (2): 213-236.
Hair, J. et al. (2006). Multivariate Data Analysis. (6th ed.). Englewood Cliffs, NJ: Prentice Hall.
McGill, T.; Klobas, J. & Renzi, S. (2008). “The Relationship between LMS Use and Teacher Performance: The Role of Task-Technology Fit”. ACIS 2008Proceedings. P. 82. http://aisel.aisnet.org/acis2008/82.
Osang, F.B. (2015). “Task Technology Fit and Lecturers Performance Impacts: The Technology Utilisation, Satisfaction and Performance (TUSPEM) Dimension”. International Journal of Computer Science Issues. 12(3):’I JCSI-2015-12-3-10405.
Osang, F.B.; Abinwi, N & Tsuma, C. (2015). “Reviewing Information Systems Usage and Performance Models”. International Journal of Computer Science and Information Technologies, (IJCSIT) Vol. 6 (1): 476- 484.
Pretext Magazine (1998). “The Invention of Email”. Retrieved at http://www.pretext. com/)
Schrier, Thomas (2009). The Utilisation of a Hybrid Task Technology Fit- technology Acceptance Model for the Evaluation of Hotel Guest Empowerment Technologies Usage”. UNLV Theses /Dissertations/ Professional Papers/ Capstones. Paper 45.
Staples D. S. & Seddon, P. (2004). “Testing the Technology-to-Performance Chain Model”. Journal of Organisational and End User Computing (16:4): 17-36.
Teo, T. (2008). “Pre-service teachers' Attitudes Towards Computer Use: A Singapore Survey”. Australasian Journal of Educational Technology, 24(4): 413-424.
Tai-Kuei Y. & Tai Y. (2010). “Modelling the Factors that Affect Individuals' Utilisation of Online Learning Systems: An Empirical Study Combining theTask Technology Fit Model with the Theory of Planned Behaviour". British Journal of Educational Technology,4(6): 1003-1017.
Teo, T., & Koh, L. (2010). “Assessing the Dimensionality of Domputer Self- efficacy among Pre-service Teachers in Singapore: A Structural Equation Modelling Approach”. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 6(3): 7-18.
Trochim, W.M.K. (2006). “Web Centre for Social Research Methods: Probability Sampling”. [Online]. Available at: http://www.socialresearchmethods. net/ kb/sampprob.php
Wu J., (2009). “Intention or Behaviour, on Which Should Researchers Concentrate?” In: Proceedings for the Diffusion Interest Group in Information Technology (DIGIT) Conference.
Venkatesh, V. et al. (2003). “User Acceptance of Information Technology: Toward aUnified View”. MIS Quarterly27(3): 425-478
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