MANAGEMENT SCIENCE TOOLS AND OPERATIONAL EFFICIENCY OF PUBLIC UNIVERSITIES IN KENYA
Abstract
Purpose of the Study: The University landscape in Kenya has experienced increased enrollment and demand for academic output amid diminishing resources prompting operational adjustment towards efficiency. Adoption of management science tools has been proposed as a remedy. However, the concept faces a number of challenges including lack of clear understanding of the dimensions and indicators for measurement of operational efficiency in the University context.
Statement of the Problem: According to World Bank report 2019 on Improving Higher Education Performance in Kenya, 2017/18 global competitiveness index identified fundamental gaps in the quality of graduates transiting from Kenyan universities evidenced by insufficient capacity to innovate, poor work ethics, and an inadequately educated workforce as some of the most challenging factors for doing business in Kenya.
Research Methodology: This study undertook a systematic review of existing theoretical and empirical literature on management science tools, organization capability, organization context and efficiency. The relevant theories and constructs to the study were examined, operational indicators identified and both theoretical and conceptual gaps identified.
Result: Existing literature pointed to successful application of management science tools in efficient management of organizations in other industry though not much research exists in universities.
Conclusion: This paper makes theoretical contributions in management science through inclusion of moderating variable, organization context and mediating variable, organization capability in development of a proposed theoretical model that seeks to guide future studies examining the effect of management science tools on operational efficiency.
Recommendations: This paper recommended an empirical study using the proposed theoretical model in order to establish the relationship between the variables in order to contribute to the body of knowledge on the concept of operational efficiency.
Key Words: Management science tools, organization capability, operational efficiency, organization context
References
AL-Tyeb, L. E. (2017). The efficiency for education using data envelopment analysis. Journal of Multidisciplinary Engineering Science and Technology 4(3): 6845‒6850.
Anvari, S., Tuna, S., Canci, M. and Turkay, M. (2016), “Automated Box–Jenkins forecasting tool with an application for passenger demand in urban rail systems”, Journal of Advanced Transportation, Vol. 50 No. 1, pp. 25-49.
Bangi, Y. I. (2014). Efficiency assessment of Tanzanian private universities: Data envelopment analysis (DEA). International Journal of Education and Research 2(5).
Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Basic CCR model. In W. W. Cooper, L. M. Seiford, & K. Tone (Eds.), Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software (2nd ed., pp. 21-40). New York: Springer.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/0377-2217 (78)90138-8
Daghbashyan, Z. (2009). Do University Units Differ in the Efficiency of Resource Utilization? – a case study of the Royal Institute of Technology (KTH), Sweden. Centre of Excellence for Science and Innovation Studies (CESIS) http://www.cesis.se. Paper No. 176
Facundo Quiroga‑Martínez1, Esteban Fernández‑Vázquez2* and Catalina Lucía Alberto. Quiroga‑Martínez et al (2018). Efficiency in public higher education on Argentina 2004–2013: institutional decisions and university‑specific effects
Ghalehkhondabi, I., Ardjmand, E., Young, W. and Weckman, G. (2019), "A review of demand forecasting models and methodological developments within tourism and passenger transportation industry", Journal of Tourism Futures, Vol. 5 No. 1, pp. 75-93. https://doi.org/10.1108/JTF-10-2018-0061
Gupta P. K., Hira D. S. (2012). Operations Research. S.Chand,New Delhi.
Koopmans to Kaldor-Hicks criterion. Journal of Organizational Change Management, 31(1), 103–117. https://doi.org/10.1108/JOCM-06-2017-0231
Kreps, D.M. (1990) .A Course in Microeconomic Theory; Princeton University Press: Princeton, NJ, USA; p. 41.
Mburu K.(2014). “Labor Crisis: Widening Skills Gap Costs Local Graduates Jobs.” The Daily Nation. http://mobile.nation.co.ke/lifestyle/Widening-skills-gap-costs-localgraduates-jobs/-/1950774/2291248/-/format/xhtml/-/efotb9/-/index.html.
Muthimi, K. J., Kilika, J. M. (2018). Leadership Strategy, Behavioural Focus and Firm Performance. International Business Research, Vol 11, No. 11., 143-163.
Mukhwana E. et al (2016). State of University Education in Kenya. Commission for University Education. Discussion Paper 04. Nairobi, Kenya.
Munoz, D. A. 2016. Assessing the research efficiency of higher education institutions in Chile: A data envelopment analysis approach. International Journal of Educational Management 30(6): 809‒ 825
Myeki L.W., Temoso O. (2019) Efficiency Assessment of Public Universities In South Africa, 2009‒2013: Panel Data Evidence. South African Journal of Higher Education http://dx.doi.org/10.20853/33-5-3582 Volume 33 | Number 5 | 2019 | pages 264‒280.
Posner, Richard A. (2007). Economic Analysis of Law (Seventh ed.). Austin, TX: Wolters Kluwer.
Salerno, C. S. (2003). What we know about the efficiency of higher education institutions: thebest evidence. 1–65. http://www.minocw.nl/documenten/bhw-99bgo99.pdf%5Cnhttp://doc.utwente.nl/47097/%5Cnhttp://doc.utwente.nl/47097/1/bhw-99-bgo99.pdf
Vijai, J., Somayaji, G., Swamy, R. and Aital, P. (2017), "Relevance of F.W. Taylor’s principles to modern shop-floor practices: A benchmarking work study", Benchmarking: An International Journal, Vol. 24 No. 2, pp. 445-466. https://doi.org/10.1108/BIJ-02-2015-0019
Wang, J., Tian, Y., Song, M., Zhao, J., & Li, H. (2018). Coal saving in China: from Pareto-Koopmans to Kaldor-Hicks criterion. Journal of Organizational Change Management, 31(1), 103–117. https://doi.org/10.1108/JOCM-06-2017-0231
Williams, B., & Nolan, B. (2001). Operations management. In Optometry (St. Louis, Mo.) (Vol. 72, Issue 6).
World Bank. 2019. Improving Higher Education Performance in Kenya: A Policy Report. © World Bank.
Youth Impact Labs. 2019. Competing in a Digital Age: The Development of IT Skills and Jobs in Kenya and Uganda. https://www.mercycorps.org/sites/default/files/Publication_IT_Skill_Gap_Report_April1 _VF.pdf.
Zeleny, M., & Dewey, J. (2017). Managers without Management Science ? Author ( s ): Milan Zeleny Published by : INFORMS Stable URL : http://www.jstor.org/stable/25059220 MANAGERS WITHOUT MANAGEMENT SCIENCE ? 5(4), 35–42.
