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Parametric Analysis on Information Technology Adoption and Organizational Efficiency in Northern Nigeria

Authors: A. Y. Dutse, S. I. Ningi


The adoption and diffusion of Information Technology (IT) is one of the fastest growing trends in organizations operating within Nigeria’s economy. Public and private organizations make huge capital investments in an attempt acquire and adopt the state-of-the-art IT for improving operational efficiency. In this study the level of IT adoption is considered the primary driver of efficiency witnessed by organizations. The research gathered data on the intensity of IT usage, and resultant efficiency increase in the organizations’ operations. The data was analyzed using multiple regression analysis and reveals that high level of IT usage has enhance efficiency of private and public organizations in Northern part of Nigeria with organizations having strategic intent on IT adoption indicating higher efficiency gains.

Keywords: IT Adoption, Nigeria, Organizational efficiency.

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[1] Bharadwaj, A.S. Bharadwaj, S.G., and Konsynski, B.R. (1999) Information Technology Effects on Firm Performance as Measured by Tobin's q, Management Science (45:7), pp 1008-1024
[2] Brynjolfsson, E., and Hitt, L. (1996) Paradox lost? Firm-level Evidence on the Returns to Information Systems Spending, Management Science (42:4), pp 541-558
[3] Barney, J. B. (1991) Firm Resources and Sustained Competitive Advantage. Journal of Management. 17(1) 99-120.
[4] Anderson, E.W. (1996) Customer Satisfaction and Price Tolerance, Marketing Letters (7:3), pp 19-30.
[5] Weill, P. and Aral, S. (2005) IT Savvy: Achieving Industry Leading Returns from your IT Portfolio. CISR Research Briefing 5(2A): 1-4.
[6] Barua, A., Kriebel,C. H., and Mukhopadhyay, T. (1995) Information Technology And Business Value: An Analytical And Empirical Investigation. Information Systems Resources, 6(1) 2-23.
[7] Devaraj, S., and Kohli, R. (2003) Performance Impacts of Information Technology: Is Actual Use the Missing Link? Managemen Science 49(3) 273-289.
[8] Brynjolfsson, E. and Yang, S. (1997) The Intangible Benefits and Costs of Investments: Evidence From Financial Markets. Proceeding of the International Conference on Information Systems, Atlanta, GA.
[9] Bharadwaj, A. (2000) A Resource Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation, MIS Quarterly (24:1), pp 169-196.
[10] Zhu, K. and Kraemer, K. L. (2002) e-Commerce Metrics for Net- Enhanced Organizations: Assessing the Value of E-Commerce to Firm Performance in the Manufacturing Sector. Information System Resources 13(3) 275-295.
[11] Taylor-Powell (1998) ‘Questionnaire Design: Asking Question with a Purpose. Program Development and Evaluation, G3658-2. (Online) (21/12/2011)
[12] Bednar, M. K. and Westphal, J. D. (2006) ‘Surveying the Corporate Elite: Theoretical and Practical Guidance on Improving Response Rates and Response Quality in Top Management Survey Questionnaires’. In David Ketchen and Donald Bergh (Ed.), Research Methodology in Strategy and Management, Volume 3, 37-55. Greenwich, CT: JAI Press. (Online) (21/11/2011), books.htm?issn=1479-8387&volume=3&chapterid=1759475&show =pdf&PHPSESSID=089ok7s904uqmslhc6u55l2ga1
[13] Hinton, P. R., Brownlow, C., McMurray, I., and Cozens, B. (2004) SPSS Explained. Published by Routledge, 27 Church Road, Hove, East Sussex, BN3 2FA.
[14] DeCoster, J. and Claypool, H. (2004) Data Analysis in SPSS. Retrieved 4/2/2012 from