Rationale The paper focuses on discussing the impact of the Standard Gauge Railway (SGR) project on the Kenyan economy. Methodology The study adopted a descriptive design. Data from secondary sources informed a predictive analysis. A review of existing literature on metropolitan rail development was also conducted with case studies from advanced economy Nations and low-income Nations for comparative analysis. Findings The country’s Gross Domestic product (GDP) grew by 1.5% as an after-effect of the SGR project. The project has driven Kenya's economic growth by creating 46,000 jobs for local residents. The individuals working in SGR are able to get income to support their families an aspect that contributes to the economic growth of the country (Northern Corridor Integration Projects, 2018). The study concluded that SGR transport infrastructure has strengthened the domestic economic environment and enhanced regional integration of the East African community. It has also provided economic, social and strategic unity of the East African member states and played a key role in the integration of the constituent sectors as well as acting as a stabilizing factor of the region’s economy. Implications The Government of Kenya and related stakeholders can use the findings of this study to leverage on the economic growth and create more revenue. Originality This paper is built on existing literature and supports the knowledge base with fundamental principles and perspectives on the Impact of SGR to the Kenyan economy.
- Page(s): 01-07
- Date of Publication: 21 January 2022
- Lilian Mboya-Kwanya University of South Africa (Unisa) College of Accounting Sciences Department of financial Intelligence: The 4th Industrial Revolution and Development Finance
References
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Lilian Mboya-Kwanya, "Impact of the Standard Gauge Railway on the Kenyan Economy" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 1, January 2022, pp.01-07 URL: https://ijltemas.in/DigitalLibrary/Vol.11Issue1/01-07.pdf
The high rate of construction project abandonment in Nigeria had led researches into developing means of enhancing project performance. This research developed a structural equation model of labour productivity in Nigeria building industry. To develop this model, questionnaire survey was carried out among five hundred (500) stakeholders in the building construction industry. The labour productivity factors were divided into six (6) major categories which are the Management and control (MC), Workforce(W), Material & Equipment (ME), Finance(F), Project(P), External(E). A structural equation model was developed to show how each of the labour productivity factors influence construction project performance in terms of cost, time and quality. The result showed the Management and Control to have the highest influence on project performance with high coefficients of 0.88(88%). Further validation of the model showed MC, W and ME to be highly significant as their worse construction scenario produced a high prediction of overruns in project cost, time and quality. This research showed that a solid management, workforce and material logistics structure is key to consistent productivity that enhances good project performance in the Nigeria construction industry.
- Page(s): 08-13
- Date of Publication: 11 February 2022
- Dorcas Bamitale Oluyemi-Ayibiowu Department of Civil Engineering, Federal University of Technology, Akure, Ondo State, Nigeria
- Victor Adeola Adesina Department of Civil Engineering, Federal University of Technology, Akure, Ondo State, Nigeria
References
[1]. Fagbenle, O. I., Ogunde, A. O., & Owolabi, J. D. (2011). Factors affecting the performance of labour in Nigerian construction sites. Mediterranean Centre of Social and Educational Research Journal, pp. 251-257. [2]. Umoru, D., & Yaqub, O. (2013). Labour productivity and health capital in Nigeria: The empirical evidence. International Journal of Humanities and Social Science, pp. 199-221. [3]. National Bureau of Statistics, (2016). Nigerian Construction Sector: Summary Report 2010 -2012. Abuja: NBS Office. [4]. Mbachu, J. I. (2008). Prediction of the Construction Duration of Institutional Building Projects in Nigeria. Nigeria Journal of Construction of Technology and Management, pp. 88-92 [5]. Attar, A. A., Gupta, A. K., & Desai, D. B. (2012). A Study of Various Factors Affecting Labour Productivity and Methods to Improve It. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), pp. 11-14. [6]. Adamu, K. J., Dzasu, W. E., Haruna, A., & Balla, S. K. (2011). Labor productivity constraints in the Nigerian construction industry. Continental Journal of Environmental Design and Management, vol.2 no,1, pp. 9-13. [7]. Durdyey, S., & Mbachu, J. (2011). On-site labor productivity of New Zealand construction industry: Key constraints and improvement measures. Australasian Journal of Construction Economics and Building, vol. 11 no 3, pp. 18-33. [8]. Williams, L. J., Vandenberg, R. J., & Edwards, J. R. (2009). Structural Equation Modeling in Management Research: A Guide for Improved Analysis. Academy of Management Annals, pp. 543-604. [9]. Kline, R. B. (2005). Principles and Practice of Structural Equation Modelling. New York: Guliford Press. [10]. Lei, P., & Wu, Q. (2007). Introduction to structural equation modeling: issues and practical considerations. . Educational Measurement: Issues and Practice, pp. 33-43 [11]. Raj, B. V., Anthony, & Kothai, P. S. (2014). Improving the Labour Productivity through Other Resources in Construction Field. International Journal of Engineering Research and General Science, Volume 2, Issue 2,pp. 205-213. [12]. Shashank , K., Sutapa, H., & Kabindra, N. P. (2014). Analysis of Key Factors Affecting the Variation of Labour Productivity in Construction Projects. International Journal of Emerging Technology and Advanced Engineering(IJETAE), vol.4 no.5, pp. 152-160 [13]. Agbola, T., & Olatubara, C. O. (2003). Private Sector Driven Housing delivery in Nigeria: issues, constraints, challenges and prospects. University of Lagos, Department of Estate Management. Lagos: Real Estate Develoers Association of Nigeria (REDAN). [14]. Ajanlekoko, J. S. (2001). Sustainable housing development in Nigeria- the financial and infrastructure implication. International Conference on Spatial Information for Spatial Development (pp. 50-64). Nairobi: Kenyan [15]. Kazaz, A., Ulubeyli, S., Acikara, T., & Bayram, E. R. (2016). Factors Affecting Labor Productivity: Perspectives of Craft Workers. Elsevier Ltd., Procedia Engineering, 164, pp.28-34.
Dorcas Bamitale Oluyemi-Ayibiowu, Victor Adeola Adesina, "Structural Equation Modelling of Labor Productivity in the Nigeria Construction Industry" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 1, January 2022, pp.08-13 DOI: https://dx.doi.org/10.51583/IJLTEMAS.2021.101202
The study investigated thermal transfer in magnetohydrodynamics(MHD) convective flow of Cu-H2O nanofluid in a porous medium with heat generation/absorption. A set of partial differential equations with copper nanoparticles were used. The partial differential equations were non-dimensioned with various dimensionless quantities in order to obtain forms whose solutions can be easily obtained. The partial differential equations were later transformed into ordination differential equations through a two term perturbation technique which were later solved using method of undetermined coefficient to obtain the exact solutions for the energy, concentration and momentum equations. Using the exact solutions; plots were done with the aid of standard parameters to estimate the variational effects of parameters that entered the flow field. From the plots; it was observed that thermal radiation decreased the temperature of the fluid. Heat generation/absorption parameter increased the temperature of the fluid. The effective thermal conductivity increased the temperature of the fluid. Peclet number and Reynolds number decreased the fluid velocity, increasing the Schmidt number and frequency of oscillation increased the concentration of the fluid.
- Page(s): 14-24
- Date of Publication: 22 February 2022
- Amadi, Okechukwu Department of Mathematics/Statistics, Ignatius Ajuru University of Education, P.M.B 5047 Rumuolumeni, Nigeria
- Amos, Emeka Department of Mathematics/Statistics, Rivers State University, P.M.B 5080 Nkpolu-Oroworukwo, Nigeria
References
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Amadi, Okechukwu, Amos, Emeka, "Energy Transfer in MHD Convective Heat and Specie Flow of Cu – H2O Nanofluid in a Porous Channel with Stationary Walls" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 1, January 2022, pp.14-24 URL: https://ijltemas.in/DigitalLibrary/Vol.11Issue1/14-24.pdf
The high rate and cost of construction project abandonment in Nigeria had led researchers into developing various options for efficient project delivery. To achieve that, a thorough knowledge of the project efficiency influencing factors is required. A questionnaire survey was conducted among one hundred and forty-one (141) participants across three states in Nigeria. Sixty-three (63) risks that occur on an estate construction project site was grouped into seven (7) constraints, and each participant were asked to rate the effect of theserisks separately on their severity to leading to project cost overrun and delayed completion time through a 5-point Linkert scale ranging from Strongly influence to Virtually no influence. The Friedman analysis result showed Productivity constraint as the most influential constraint with mean significance score of 4.89 followed by the resource constraint with score of 4.85 for cost overrun. This showed that the productivity of the resource crew is the most significant factor in preventing cost overrun. Statistical ranking result also showed productivity and precedence constraint as the most influential factor of project delay. This highlighted the importance of an effective schedule plan to repetitive construction as it prevents resource interruptions without limiting its productivity.
- Dorcas Bamitale Oluyemi-Ayibiowu Department of Civil Engineering, Federal University of Technology, Akure, Ondo State, Nigeria
- Emmanuel Kayode Falola Department of Civil Engineering, Federal University of Technology, Akure, Ondo State, Nigeria
References
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Dorcas Bamitale Oluyemi-Ayibiowu, Emmanuel Kayode Falola , "Ranking of Factors Influencing Cost Overrun and Project Delay of Repetitive Building Construction Project in Nigeria" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 1, January 2022, pp.25-31 DOI: https://dx.doi.org/10.51583/IJLTEMAS.2021.11102
In this Covid-19 pandemic, Information and communication technology (ICT) plays a significant role and IT solutions such as the Virtual Learning Environments (VLE) have become vital. In pandemic situation, the Virtual Learning Environment (VLE) integrates many tools to provide higher educational institutions with an effective and efficient method to share, manage, store, and enhance their traditional approach of teaching. The implementation of VLE During the COVID -19 Pandemic has become a need at Advanced Technological institute in the learning and teaching environment. Although there is an increased willingness to its widespread implementation among higher educational institutes in this pandemic situation. The primary goal of this study is to develop a Virtual Learning Environment (VLE) for Advanced Technological Institute during the COVID -19 Pandemic, as well as to identify the existing virtual learning environment status of other higher educational institutes and implement innovative tools in Virtual Learning Environment (VLE) at Advanced Technological Institute in the COVID -19 Pandemic. The conduct of this study involved qualitative method, the finding of the research presented that existing system used only for downloading the notes of lectures. As per the finding, virtual system developed using the following features such as conducing online examination, quizzes, discussion forum and as a new components automatic question generation using natural language processing added to enhance the learning and teaching process. Adobe photoshop for image editing purpose, MySQL for creating database, Apache Web Server, WordPress, Natural Language processing (NLP) for prototype question generation and php for virtual environment development as well as Microsoft Visio for diagram drawing were utilized to develop this system development.
- M. R. M. Nowfeek Department of Information Technology, ATI-Sammanthurai, Sri Lanka Institute of Advanced Technological Education
- Dr. Lakmal Rupasinghe Faculty of Computing, Sri Lanka Institute of Information Technology (SLIIT)
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M. R. M. Nowfeek, Dr. Lakmal Rupasinghe, "Development of a Virtual Learning Environment (VLE) During the COVID -19 Pandemic: A Study with special reference to Advanced Technological Institute" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 1, January 2022, pp.32-46 DOI: https://dx.doi.org/10.51583/IJLTEMAS.2021.11103