Contributions of Individual, Institutional and System factors to Utilisation of Research4Life Databases in National Agricultural Research Institutes in Nigeria
Abstract
This study investigated the contributions of individual, institutional and system factors to utilisation of Research4Life databases by scientists in the NARIs in Nigeria. The study adopted the descriptive survey research design of the correlational type. Simple and stratified random sampling techniques were used to select 744 (62%) research scientists from a population of 1,205 in 13 NARIs. A validated and pre-tested questionnaire was the instrument adopted for this study and it consisted of 105 questions arranged in five sections A – E with 0.99 reliability coefficient based on Cronbach alpha method. Descriptive and inferential statistics - simple percentage, mean, correlation, multiple regression and analysis of variance were used to analyse the data. Result revealed that utilisation of Research4Life databases was low and the 22 individual, institutional and system factors individual and collectively significantly influenced utilisation of Research4Life databases in the NARIs. Individual, institutional and system factors showed varied levels of variances to utilisation of Research4Life databases in the NARIs with system factors contributing the highest followed by institutional and individual factors. For increased utilisation of Research4Life databases in NARIs in Nigeria, system and institutional factors have to be given utmost consideration.
Keywords
Individual factor; Institutional factor; System factor; Utilisation; Research4Life
databases; Agricultural scientists.
References
Agarwal, R. & Prassad, J. (1999). Are individual differences germane to the acceptance of new information technologies. Decision Sciences, 30(2), 361-391. Agbonlahor, R.O. (2008). Gender, age and use of information technology in Nigerian Universities: a theory of planned behaviour perspective. Revitalization of African Higher Education. Babalola et al. ed. Ibadan: HERPNET. 286–304. Al-Mamary, Y.H. & Aziati, A.S. (2014). Factors affecting successful adoption of management information systems in organisations towards enhancing organisational performance. American Journal of Systems and Software, 2(5), 121-126. Allahawiah, S. & Tarawneh, S.A. (2015). Factors affecting information and communication technology use by southern college teachers in Balqa applied university. The 2015 WEI Inter. Academic Conference Proceedings, Barcelona, Spain. WEI, 138-145. Anandarajan, M., Igbaria, M. & Anakwe, U.P. (2002). IT acceptance of in a less-developed country: a motivational factor perspective. International Journal of Information Management, 22(1), 47-65. Angello, C. (2010). The awareness and use of electronic information sources among livestock researchers in Tanzania. Journal of Information Literacy, 4(2), 6-22. __________ & Wema, E. (2010). Availability and usage of ICTs and e-resources by livestock researchers in Tanzania: challenges and way forward. International Journal of Education and Development Using ICT, 6(1), 53-65. Bhattacherjee, A. & Hikmet, N. (2008). Reconceptualising organisational support and its effect on Information Technology usage: evidence from the health care sector. Journal of Computer Information Systems, 48(4), 69-76. 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, 8(1), 136-155. Daniel, M. (2014). Factors that impact upon the use of e-learning. Contemporary PNG Studies: DWU Research Journal, 20(5), 59-65. Davis, F.D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioural impacts. Int. Journal Man-Machine Studies, 38, 475-487. _________, Bagozzi, R.P. & Warshaw, P.R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003. Deng, H. (2009). An empirical analysis of the utilisation of digital library resources. In: Handbook of Research on Digital Libraries: Design, Development, and Impact. 344- 351. Hershey, PA: Information Science Reference. Doi: 10.4018/978-1-59904-879- 6.ch035. Dulle, F.W. & Minish-Majanja, M.K. (2011). The suitability of the Unified theory of acceptance and use of technology (UTAUT) model on open access adption studies. Information Development, 27(1), 32-45. Echeng, R. & Usoro, A. (2014). Acceptance factors and current level of use of Web 2.0 technologies for learning in higher education: a case study of two countries. International Journal of Advanced Computer Science and Application, 5(5), 9-14. Fadare, O.G., Babatunde, O.G., Akomolafe, D.T. & Lawal, O.O. 2011. Behavioural intention for mobile learning on 3G mobile Internet technology in South-West part of Nigeria. World Journal of Engineering and Pure and Applied Sciences, 1(2), 19-28. Harrison, A.W. and Rainer, R.K. (1992). The influence of individual differences on skill in end-user-computing. Journal of Management Information Science, 9(1), 93-111. Hong, W., Thong, J.Y.L., Wong, W. & Tam, K. (2002). Determinants of user acceptance of digital libraries; an empirical examination of individual differences and system characteristics. Journal of Management Information System, 18(3), 97-124. Information Training and Outreach Centre for Africa (2014). Research4Life and TEEAL training manual. 15 –17 July, 2014. University of Benin, Benin City: ITOCA, 2014. Kwadzo, G. (2015). Awareness and usage of electronic databases by geography and resource development information studies graduate students in the University of Ghana. Library Philosophy and Practice (e-journal). Paper 1210. Retrieved May 4, 2016, from http://digitalcommons.unl.edu.libphilprac/1210. Lee, J. & Park, M. (2013). Factors affecting the Smartphone users to use the mobile portal services: focusing on Korean mobile portals. Inf Syst E-Bus Manage, 11, 235-252. Lu, J., Lu, C., Yu, C. & Yao, J.E. (2003). Exploring factors associated with wireless internet via mobile technology acceptance in mainland China. Communications of the IIMA, 3(1), 9 Retrieved November 20, 2015, from http://scholarworks.lib.csusb.edu/ciima Lwoga, E.T., Chimwaza, G., Aronson, B. & Vent, O. (2007). Building science information fluency in African universities: how libraries and researchers are benefiting from improved access to science scholarship. WLIC/73rd IFLA Conference, 19-23 August, South Africa. Retrieved May 9, 2011, from http://www.ifla.org/iv/ifla73/index.htm Miller, J. & Khera, O. (2010). Digital library adoption and the Technology Acceptance Mode: a cross-country analysis. The Electronic Journal on Information Systems in Developing Countries, 40(6), 1-19. Nelson, R.R., Todd, P.A. & Wixom, B.H. (2005). Antecedents of information and system quality: an experical examination within the context of data warehousing. Journal of Management Information Systems, 21(4), 199-235. Okwilagwe, O.A. & Ogbomo, M.O. 2012. Computer skills as predictors of lecturers’ use of scholarly electronic publications from research in Federal University Libraries in Nigeria. PNLA Quarterly, 76(3), 97-115. Park. S.Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioural intention to use e-learning. Educational Technology and Society, 12(3), 150-162. Rahim, M.M. (2008). A qualitative evaluation of an instrument for measuring the influence of factors affecting use of business-to-employee portals. International Journal of Human and Social Sciences, 4(13), 945-954. Research4Life. (2016a). A total of 69,000 online resources now available in Research4life. Retrieved June 1, 2016, from http://www. research4Life.org/69000-online-resources- available/ ___________ (2016b). A look at AGORA usage in the world. Retrieved June 13, 2016, from http://www. research4Life.org/look-agora-usage-world. Scott, J.C. (2007). HINARI/AGORA usage review. Unpublished report. Arlington: Center for Public service Communications. Shih, Y. & Huang, S. (2009). The actual usage of ERP systems: an extended technology acceptance perspective. Journal of Research and Practice in Information Technology, 41(3), 263-276. Smith, H., Bukirwa, H., Mukasa, O., Snell, P., Adeh-Nsoh, S., Mbuyita, S., Honorati, M., Orji, B. & Garner, P. (2007). Access to electronic health knowledge in five countries in Africa: a descriptive study. BMC Health Services Research, 7, 72. DOI: 10.1186/1472-6963-7-72. Talukder, M. (2012). Factors affecting the adoption of technological innovation by individual employees: Australian study. Procedia: Social and Behavioural Sciences 40, 52-57. Tella, A. (2012). System-related factors that predict students’ satisfaction with the blackboard learning system at the University of Botswana. African Journal of Library, Archival and Information Science, 22(1), 41-52. Unsal, F. and Movassaghi, H. (2008). An analysis of key factors in the adoption and use of web-based technologies by small and medium-sized companies around the world. Paper presented at the 18th Conference of the International Trade and Finance Association, Meeting at Universidad Nova de Lisbon, Portugal, May 23, 2008. Zabukovsek, S.S. & Bobek, S. (2013). TAM-based external factors related to ERP solutions acceptance in organisations. International Journal of Information Sys
