Version-1 (Nov-Dec 2018)
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| Paper Type | : | Research Paper |
| Title | : | Bottleneck as a Determinant Factorinfluencing The Implementation Of Knowledge Management Inministerial Establishmentsin Rivers State |
| Country | : | |
| Authors | : | Dr. (Mrs.) A. E. Bestman |
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: | 10.9790/5933-0906010109  |
Abstract: This study investigated bottleneck as a determinantfactor influencingthe implementationof knowledge managementin River State Ministries. The focus of the study was mainly on techno-centric aspect of knowledge management and how its implementation can fail due to bottleneck usually occasioned by the observation of hierarchical power structure in the ministries.The study was a descriptive survey. As such bottleneck as a variable was employed to describe how technology-assisted knowledge management can be influenced. The population of the study comprised all the employees of Rivers State Ministries of Information/Communication and Budgeting and Planning........
Keywords: Knowledge Management, hierarchy-induced bottleneck. Implementation, IT
[1]. Addicot, R.; McGivern, G.; Ferlie, E. (2006) " Networks, Organizational Learning and Knowledge Management: NHS Cancer Networks". PublicMoney&ManagementJournal. 26 (2):87–94. Alavi, M. & Leidner, D. E. (1999). "Knowledge management systems: issues, challenges, and benefits". Communications of the AIS. 1 (2)
[2]. Girard &Girard(2015)."Defining knowledge management:Towards an applied compendium" Journal of Applied Knowledge Management. 3 (1): 14.
[3]. Gupta, J. & Sharma, S. (2004). Creating Knowledge Based Organizations.Boston: Idea Group Publishing.
[4]. King, W. R. (2015) Knowledge Management and Organizational Learning.Journal of Knowledge Management, 4 (1), 3-13.
[5]. Liu, S. (2014)"Introduction to Knowledge Management". www.unc.edu. University of North Carolina at Chapel Hill..
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| Paper Type | : | Research Paper |
| Title | : | Evaluation, Modeling and Forecasting Volatility of Daily and Weekly Returns on Nairobi Securities Exchange Using Garch Models |
| Country | : | Kenya |
| Authors | : | Betty Korir |
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: | 10.9790/5933-0906011021 |
Abstract: This paper evaluates the forecasting ability of Nairobi Securities Exchange share prices at different time pointsusing Generalized Autoregressive Conditional Heteroskedasticity (GARCH).A five-year period wasused and appropriate models were determined for each time point for the companies chosen from amongst the lower order GARCH models that is GARCH (1, 1), GARCH (1, 2), GARCH (2, 1) and GARCH (2, 2). The best fitting GARCH models were chosen based on Akaike Information Criterion and Bayesian Information Criterion. Adequacy of the chosen models was done using Ljung Box and Lagrange Multiplier Autoregressive Conditional Heteroskedasticity (ARCH..........
Keywards: Volatility, GARCH model, MSE, Ljung Box Test
[1]. Torben, D., Doberu D., and Schaumbary E. (2009). Jump-robust volatility estimation using nearest neighbor truncation. NBER, Working paper, 15533.
[2]. Swarchz, J. (2013). Time Series: A very brief introduction. Department of Statistics and Actuarial Science, Simon Fraser University, British Columbia, Canada.
[3]. Box G.E.P. and G.M. Jenkins, Time series analysis, forecasting and control, 2nd ed. (Holden-Day,San Francisco, 1976). [4]. Box G.E.P., Jenkins G., and Reinsel, G. (1970). Time series analysis: Forecasting and control,San Francisco. Holden-Day.
[5]. Bollerslev, T. (1986). General Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
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| Paper Type | : | Research Paper |
| Title | : | Fiscal Policy And 2016 Recession In Nigeria: An Analysis Of 2017 Budget Of Recovery |
| Country | : | Nigeria |
| Authors | : | Abubakar Okuwa Abdullahi || Abubakar Angulu Omaku |
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: | 10.9790/5933-0906012227 |
Abstract: Nigerian recession is not accidental but a logical effect of the mindless looting of national treasuring, mismanagement of public funds, neglect of the real sector of the economy for security issues, huge cost of insecurity, over dependence on crude oil and the global crash in crude oil price which culminated into revenue accruing to the federation account. This study analyzed the efficacy fiscal policy measures taken by the government to recover the economy from recession. Using content analysis the study found that the adoption of financing and release of bailout were meant to inject money into the economy in order increase aggregate demand and revitalize the economy. However, there is policy conflict that mitigates the achievement of desire result. The study conclude that fiscal policy plays an indispensable role in recovering an economy from recession but policies conflict and delay in budget implementation mitigates the achievement of desired result in Nigeria. Finally the study recommended that government should embark on strategic spending in area with high multiplier effect such as agriculture and manufacturing sector that increases aggregate demand and diversify the economy.
Keywords: Fiscal Policy, Recession, Recovery, Budget, Government Revenue, Government Expenditure
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[2]. Babalola A. (2016) Nigeria and economic recession: Way out (1) On December 7, 2016 Vanguard .
[3]. Bulus, L.M. (2006), The structure of federal government expenditure in Nigeria. Journal of Economics, (3)1 December 2006, A publication of the Department of Economics University of Jos.
[4]. Central Bank Nigeria. (2016) Statistical Bulletin, Central Bank of Nigeria, Abuja,
[5]. Emefiele G. (2016). Re-introducing and operationalizing Nigeria's flexible exchange Rate market. An Address At the Unveiling of the Framework for Re-introduction of Managed Float Exchange Rate System on 15th June 2016, Central Bank of Nigeria