INTERNATIONAL JOURNAL OF SOCIAL SCIENCES AND MANAGEMENT RESEARCH (IJSSMR )

E-ISSN 2545-5303
P-ISSN 2695-2203
VOL. 2 NO. 2 2016


Contributions of Individual, Institutional and System factors to Utilisation of Research4Life Databases in National Agricultural Research Institutes in Nigeria

O.A. Okwilagwe and Luke Obasuyi


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


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