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An Assessment of ICT Infrastructure, Deployment and Applications in the Science and Technology (S&T) Research Institutions in Ghana

  • 투고 : 2020.05.15
  • 심사 : 2021.02.05
  • 발행 : 2021.03.31

초록

The paper discusses the ICT infrastructure as far as the availability of (computers, local or wide area networks, Internet connectivity and its reliability, size of the bandwidth and its optimization, etc.) in the S&T research institution. It also examined the profile of the research scientists and looked at the type of ICT infrastructure that is available for their use as well as the reliability of the Internet connectivity within these research institutions. It looked at the broadband capacities of the research institutions and the ICT capabilities in respect of the technical and managerial support back-up that are available to the research institutions. The study used the survey research method with a questionnaire as well as personal observation to gather the data. From the data gathered, it was realized that the internet connectivity and the size of the bandwidth that the R&D institutions subscribed to differed significantly. Again, the extent to which the research scientists were able to access the internet in their respective institutions depended on the quality of the local network in place. Generally, the investments in ICT were made for different management objectives, and these were meant to facilitate the generation of new knowledge as well as make measurable improvements in R&D activities.

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참고문헌

  1. Atiso, K., & Adkins, D. (2015). Librarians, Research Scientists and ICT Adoption in Research Institutes in Ghana. Library Philosophy and Practice (e-journal). 1278. http://digitalcommons.unl.edu/libphilprac/1278
  2. Barney, J. B. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1177/014920639101700108
  3. Bharadwaj, A. S. (2000). A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation. MIS Quarterly, 24(1), 169-196. https://doi.org/10.2307/3250983
  4. Bugyei, K. A., Kavi, R. K., & Obeng-Koranteng, G. (2019). Assessing the Awareness and Usage of Reference Management Software (RMS) among Researchers of the Council for Scientific and Industrial Research (CSIR) Ghana. Journal of Information and Knowledge Management, 18(3), 1950031. https://doi.org/10.1142/S021964921950031X
  5. Cohen, L. & Manion, L. (1999). Research Methods in Education (3rd ed.). Routhledge.
  6. Creswell, J. W. (1994). Research Design: Qualitative and Quantitative Approaches. Sage Publications
  7. Dahlman, C. J., & Aubert, J. E. (2001). China and the Knowledge Economy: Seizing the 21st Century. The World Bank.
  8. Devaraj, S., & Kohli, R. (2003). Performance Impacts of IT: Is Actual Usage the Missing link? Management Science, 49(3), 273-289. https://doi.org/10.1287/mnsc.49.3.273.12736
  9. Doll, W. J., & Torkzadeh, G. (1998). Developing a Multi-Dimensional Measure of System Use in Organizational Context. Information and Management, 33, 71-185. https://doi.org/10.1016/S0378-7206(98)00028-7
  10. Gillwald, A., & Stork, C. (2008). Towards Evidence-Based ICT Policy and Regulation: ICT Access and Usage in Africa. A. Gillwald. Braamfontein, South Africa Research ICT Africa 37. http://www.researchictafrica.net/new/images/uploads/ria-policy-paper_ict-access-and-usage-2008.pdf
  11. Glassman, M. (2020). The Internet as a Context for Participatory Action Research. Education and Information Technologies, 25(3), 1891-1911. https://doi.org/10.1007/s10639-019-10033-1
  12. Grant. R. M. (1991). The Resource-Based Theory of Competitive Advantage: Implications for Strategy Formulation. California Management Review, 33(3), 114-135. https://doi.org/10.2307/41166664
  13. Hammer, M. (2002). The Super-Efficient Company. Harvard Business Review, 79(8), 82-91. http://download.microsoft.com/documents/australia/mbs/SuperEfficientCompany.pdf
  14. Henderson, J. C. (1990). Plugging into Strategic Partnerships: The Critical Connection, Sloan Management Review, 31(3), 7-18. https://search.proquest.com/docview/224962834?pq-origsite=gscholar&fromopenview=true
  15. Higon, D. A. (2011). The Impact of ICT on Innovation Activities: Evidence from UK SMEs. International Small Business Journal, 30(6), 684-699. https://doi.org/10.1177/0266242610374484
  16. Kleis, L., Chwelos, P., Ramirez, R. V., & Cockburn, I. (2012). Information Technology and Intangible Output: The Impact of IT Investment on Innovation Productivity. Information Systems Research, 23(1), 42-59. https://doi.org/10.1287/isre.1100.0338
  17. Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and psychological measurement, 30(3), 607-610. https://doi.org/10.1177/001316447003000308
  18. Lichtenberg, F. R. (1998). The Impact of Information Technology on Private- and Public-Sector Productivity in the United States. The Micro-Economic Evidence. Paper Prepared for the UNU/WIDER Project on. Information Technology and Economic Development.
  19. Manochehri, N. N., Al-Esmail, R. A. & Ashrafi, R.. (2012). Examining the Impact of Information and Communication Technologies (ICT) on Enterprise Practices: A Preliminary Perspective from Qatar. The Electronic Journal of Information Systems in Developing Countries, 51(3), 1-16. https://doi.org/10.1002/j.1681-4835.2012.tb00360.x
  20. Mansell, R., & Wehn, U. (Eds.). (1998). Knowledge Societies: Information Technology for Sustainable Development. Oxford University Press.
  21. Muriithi, P., Horner, D., & Pemberton, L. (2013). Understanding Factors Influencing the Effect of Scientific Collaboration on Productivity in Developing Countries: Kenya. In Proceedings of the American Society for Information Science and Technology, 50(1), 1-10. https://doi.org/10.1002/meet.14505001065
  22. National Research Council. (1998). Internet Counts: Measuring the Impacts of the Internet. National Academy Press.
  23. Ollo-Lopez, A., & Aramendia-Muneta, M. E. (2012). ICT Impact on Competitiveness, Innovation and Environment. Telematics and Informatics, 29(2), 204-210. https://doi.org/10.1016/j.tele.2011.08.002
  24. Raymond, L., Pare, G., & Bergeron, F. (1995), Matching Information Technology and Organizational Structure: An Empirical Study with Implications for Performance. Journal of Information Systems, 4(1), 3-16. https://doi.org/10.1057/ejis.1995.2
  25. Ryan, S. D., & Harrison, D. A. (2000). Considering Social Subsystem Costs and Benefits in Information Technology Investment Decisions: A View from the Field on Anticipated Payoffs. Journal of Management Information System, 16(4), 11-40. https://doi.org/10.1080/07421222.2000.11518264
  26. Santhanam, R., & Hartono, E. (2003). Issues Linking Information Technology Capability to Performance. MIS Quarterly, 27(1), 125-153. https://doi.org/10.2307/30036521
  27. Sarantakos, S. (2005). Social Research (3rd ed.). Palgrave Mac-Millan.
  28. Steinfield, C., LaRose, R., Chew, H. E., & Tong, S. T. (2012). Small and Medium-sized Enterprises in Rural Business Clusters: the Relation between ICT Adoption and Benefits derived from Cluster Membership. The information society, 28(2), 110-120. https://doi.org/10.1080/01972243.2012.651004
  29. Straub, D. W., & Watson, R. T. (2001). Transformational Issues in Researching IS and Net-Enabled Organizations. Information Systems Research, 12(4), 337-345. https://doi.org/10.1287/isre.12.4.337.9706
  30. Straub, D., Limayem, M., & Karahanna-Evaristo, E. (1995). Measuring System Usage: Implications for IS Theory Testing. Management Science, 41(8), 1328-1342. https://doi.org/10.1287/mnsc.41.8.1328
  31. Tam, K. Y. (1998). The Impact of Information Technology Investments on Firm Performance and Evaluation: Evidence from Newly Industrialised Economies. Information Systems Research, 9(1), 85-98. https://doi.org/10.1287/isre.9.1.85