Please Wait! Your file will start to download within 10 seconds automatically. Otherwise click here Download

Non-parametric analyses on Strategic Investment in Technology and Companies’ Growth in Nigeria

Author(s)

A. Y. Dutse , B. Ayuba ,

Download Full PDF Pages: 09-15 | Views: 425 | Downloads: 128 | DOI: 10.5281/zenodo.3441676

Volume 2 - October 2013 (10)

Abstract

Certainly, one of the most dominant themes that take the frontline in academic and professional discuss nowadays is technology adoption strategy and how it shapes organizations. In this study the potency of strategic organizational expenditure on technology is used in an attempt to explain growth witnessed by firm in Nigeria. Specifically the study investigates how a strategic investment in technological ability by firms determines their growth. By using non-parametric analyses of the data generated from a sample of companies operating in Nigeria, the study reveals a significant relationship between strategic acquisition and adoption of technology resources and firms’ growth; it also discusses the implications of these findings and some of the theoretical issues associated with firms’ growth. The provisional conclusion is that strategic acquisition and adoption of technology by firms in Nigeria is contributing to growth and that strategic investment in technology is the potent driver of the growth process. 

Keywords

Strategic, Investment, Growth in Nigeria 

References

  1. Agarwal, R., and Prasad, J. (1997) The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies, Decision Sciences, 28(3):557– 582.
  2. Akubue, A. (2000) Appropriate Technology for Socia-economic Development in Third World Countries,. The Journal of Technology Studies 26 (1): 33–43.
  3. 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.
  4. Brynjolfsson, E. and Hit, L. (1996) Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending, Management Science, 42: 541-558.
  5. Byrne, J. and Marx, G (2011) Technological Innovations in Crime Prevention and Policing. A Review of the Research on Implementation and Impact, Cahiers Polities studies Jaargang, pp. 17-40.
  6. Chiesa, V., Frattini, F., Gilardoni, E., Manzini, R., Pizzurno, E. (2007) Searching for Factors Influencing Technological Asset Value, European Journal of Innovation Management, 10(4)467 – 488.
  7. Child. J. and Kieser, A (1981) Development of Organizations over Time. pp. 28-64 in P. Nystrom & W. Starbuck (Eds.), Handbook of organizational design. New York: Oxford University Press.
  8. Chuttur M.Y. (2009) Overview of the Technology Acceptance Model: Origins, Developments and Future Directions, Indiana University, USA. Sprouts: Working Papers on Information Systems, 9(37).
  9. Davis, F. D. (1989) Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology. MIS Quarterly, 13(3); 319-340.
  10. Dos Santos, B. L. & Peffers, K. (1995) Rewards to Investors in Innovative Information Technology Applications: First movers and early followers in ATMs. Organizational Science, 6(3): 241-259.
  11. Drejer, A. (2000) Organizational learning and competence development, The Learning Organization, 7 (4): 206-20.
  12. Farahmand, N. F. (2013) Organizational Survival Aggravation Tendency as Organizational Undertaking. Business Management Dynamics, 2(10):81-9.
  13. Faulker, A. O. and Albertson M. L. (1986) Tandem use of Hard and Soft Technology: an Evolving Model for Third World Village Development, International Journal of Applied Engineering Education. 2( ):127-137, 1986.
  14. Fisher, D. K., Norvell, J., Sonka, S., Nelson, M. J. (2000) Understanding Technology Adoption through System Dynamics Modeling: Implications for Agribusiness, Management International Food and Agribusiness, Management Review 3: 281–296.
  15. Gimmon, E. and Levie, J. (2010) Founder‟s Human Capital, External Investment, and the Survival of New High-Technology Ventures, Research Policy 39:1214–1226
  16. Giuliana, B. and Paul, S. (2005) The Intra-Firm Diffusion of New Process Technologies, International Journal of Industrial Organization, 23(1-2):1-22.
  17. Godfrey, N. (2008) Why is Competition Important for Growth and Poverty Reduction? OECD Global Forum on International Investment Conference Document, Retrieved from www.oecd.org/investment/gfi-7 on 7/10/2013
  18. Harari, O. (1999) Leapfrogging the Competition: Five Giant Steps to Becoming a Market Leader, Prima Publishing, USA.
  19. Jordan, J. L. (2002) Virtual Human Resources: Understanding External Variables on Technology Acceptance and Use. Ph.D. dissertation, Alliant International University, Los Angeles, United States -- California.
  20. Klein, K.J., and Sorra, J.S. (1996) The Challenge of Innovation Implementation, Academy Management Review, 21(4):1055-1080.
  21. Kwon, T. H. and Zmud, R. W. “Unifying the Fragmented Models of Information Systems Implementation," in Boland, R.J. and Hirschheim, R. (1987) (Eds.), Critical Issues in Information Systems Research, John Wiley, Chichester, England, pp.227-251
  22. Legros, P., Newman, A. F., Proto, E. (2006) Smithian Growth through Creative Organization_ Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-158, Boston University - Department of Economics.
  23. Ngai, E.W. and Wat, F.K. (2006). Human Resource Information Systems: A Review and Empirical Analysis. Human Resource Information Systems, 35: 298-314.
  24. Rai, A., Patnayakuni, R. and Patnayakuni, N. (1997) Communications of the ACM, 40(7):89- 97.
  25. Rogers, E. M. (2003) Diffusion of Innovations, 5th ed., Ney York Free Press, Simon & Schorter Inc.
  26. Rogers, E.M. (1995) Diffusion of Innovations, 4th ed. New York: Free Press, Simon & Schorter Inc.,
  27. Sambamurthy, V., Bharadwaj, A., and Grover, V. (2003) Shaping Agility through Digital Options: Reconceptualizing the Role of IT in Contemporary Firms. MIS Quarterly. 27(2) 237- 263.
  28. Schermerhorn, J. R., Hunt, J. G. and Osbond, R. N. (1995) Basic Organizational Behaviour. John Wiley and Sons, Inc., New York.
  29. Seelos, C. and Mair, J. (2010) Organizational Mechanism of Inclusive Growth: A Critical Realist Perspective on Scaling, IESE Business School working Paper WP-840, University of Navarra.
  30. Taylor-Powell (1998) Questionnaire Design: Asking Question with a Purpose. Program Development and Evaluation. G3658-2. Retrieved from http://learningstore.uwex.edu/assets/pdfs/g3658- 2.pdf on 21/12/2012.
  31. Thompson, P. and McHugh, D. (1995) Work Organization: A Critical Introduction. Macmillan Press, London.
  32. Venkatesh, V. & Davis F. D. (2000) A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2): 186-204
  33. Venkatesh, V. (2000) Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation and Emotion in the Technology Acceptance Model, Information System Research, 11(4):342-365.
  34. Venkatesh, V., Morris, M.G., Davis, G.B., and Davis, F.D. (2003) User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly 27(3):425-478.
  35. Weinzimmer, L. G., Nystrom, P. C. and Freeman, S. J. (1998) Measuring Organizational Growth: Issues, Consequences and Guidelines, Journal of Management, 24(2):235-262.
  36. Wickart, M. and Madlener, R. (2006) Optimal Technology Choice and Investment Timing: A Stochastic Model of Industrial Cogeneration vs. Heat-Only Production, Centre for Energy Policy and Economics (CEPE) Working Paper No. 37. Zurichbergstrasse 18 (ZUE E) CH-8032 Zurich
  37. Yu, H. Y. and Yeh, K. S. (1996) Technology Transfer in Taiwan's Information Industry: The lessons. Research Technology Management, 39(5): 26-30.

Cite this Article: