Department of Management Education

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    A SEIR-SEI Malaria Transmission Model with Optimal Control
    (Journal of Advances in Mathematics and Computer Science, 2018) Appiagyei, Ebenezer; Osman, Mojeeb AL-Rahman EL-Nor; Adu, Isaac Kwasi
    In this paper, we propose a SEIR-SEI epidemic model for malaria transmission which describes the interaction between human and mosquito population, with the effects of antibodies produced by the incidence rates for humans and mosquitoes respectively and two optimal controls. We introduce an optimal problem with an objective function, where two control functions, use of treated bed-nets and control effort on malaria treatment , have been used as control measures for infected individuals. The existence of feasible region where the model is well-known is established. Stability analysis of the disease -free equilibrium is investigated. The basic reproduction number R0, is obtained using the next generation matrix approach. The existence of the endemic equilibrium is also specified under certain conditions. Numerical simulations are carried out to confirm our analytic results and our simulation also suggests that, two control strategies are more effective than only one control in controlling the increase of number of infected individuals in the Democratic Republic of the Congo (DRC).
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    Factors Affecting the Adoption of ICT by Administrators in the University for Development Studies Tamale: Empirical Evidence from the UTAUT Model
    (International Journal of Sustainability Management and Information Technologies, 2018) Adu-Gyamfi, Mavis; Alhassan, Ibrahim; Kassim, Bawa Abdallah
    The study of technology acceptance is a constantly developing field, perhaps, resulting from the ever evolvement of new technologies. Models and theories have been developed to address and determine technology user acceptance behaviour. The study adopted the UTAUT model, which is considered parsimonious and comprehensive because of its eclectic nature. The study thus examined the critical predictors of behavioural intentions and the relationships that exist among the predictor variables in the ICT adoption context in the University for Development Studies, Tamale in Ghana. The study surveyed 100 respondents using self-administered questionnaire. The findings of the study indicate that the adopted model for the study explains 67.3% of the variation in behavioural intention to adopt ICT. It also found that facilitating conditions exert the strongest influence on behavioural intention than the rest of the predictor variables in the research context. Whereas performance expectancy was the least influential, social influence and effort expectancy were second and third respectively. Theoretically, the study fills the dearth of application of technology acceptance models in understanding the critical determinants of behavioural intention in Universities’ staff ICT adoption context. It also provides valuable implications for management of Higher Institutions of Learning.
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    Factors that Inform Students’ Choice of Study and Career
    (Journal of Education and Practice, 2015) Lawer, Theresa Dede
    The research was conducted to find out factors that informed second cycle students’ choices of programmes of study and career in the Kumasi Metropolis of Ghana. The descriptive survey was used for the study, and both questionnaire and interview guide were used in gathering the data. The questionnaire was administered on the students while the Coordinators and the heads of the selected institutions were interviewed. A total of 432 subjects was used for the study. Out of this number, 420 were students, 6 were Guidance Coordinators, and 6 were Heads of Institutions. The study revealed among other things that career guidance programme was not given prominent attention for the full benefit of students. Hence students’ source of career information was limited. It was also noted that though students had some information about the self, much was not known about the world of work. Recommendations on how to improve the implementation of career guidance programmes in senior high schools so students become well informed to choose their future careers were given at the end.
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    Innovation and CO2 emissions: the complimentary role of eco-patent and trademark in the OECD economies
    (Environmental Science and Pollution Research, 2019) Mensah, Nyarko Claudia; Boamah, Kofi Baah; Salman, Muhammad; Long, Xingle
    Increasing global emissions has led to research on the role of innovations play combating emissions. Mitigations from innovation perspective have mainly been focused on the role of patent, ignoring the role of trademarks. We therefore investigate the mitigating power of patent and trademarks in the OECD economies, benchmarking patent as the traditional mitigation strategy. Examining the complimentary role, we created an interaction term between patent and trademark. Our study divided the OECD economies into four subpanels which are OECD America, OCED Asia, OECD Europe, and OECD Oceania. We employed the Im, Pesaran and Shin W-stat, Augmented Dickey-Fuller, and Phillips Perron unit root tests, as well as cross-sectional dependence and Westerlund cointegration tests for the preliminary test on the variables. We also adopted ARDL approach to cointegration, Granger causality test, and OLS in examining the relationship between CO2 and patent, trademark, urbanization, and economic growth. Findings show that jointly, eco-patents and trademarks mitigate CO2 emissions. Also, bidirectional or unidirectional causal relationship was established between our variables of study, an indication that most of our variables can be used in forecasting one other
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    One district one factory policy of Ghana, a transition to a low‑carbon habitable economy?
    (Environment, Development and Sustainability, 2020-01) Mensah, Nyarko Claudia; Boamah, Kofi Baah; Dauda, Lamini; Salman, Muhammad
    Ghana has proposed ‘One district, one factory’ policy which would bridge the income gap, improve standards of living, ease dependency ratio, and build up the economy. Based on the past trend of foreign direct investment (FDI) of Ghana, we examine the possible impact of this policy on its environment, validating the pollution haven or halo efect. We examined the validity of the environmental Kuznets curve (EKC) hypothesis. Augmented Dickey–Fuller and Phillips–Peron unit root tests were conducted to examine the presence of unit root among the variables. Johansen cointegration test was also used to examine the long-run relationship. The autoregressive distributed lag approach to cointegration, Granger causality test, and fully modifed ordinary least square were the estimation meth ods employed. A unidirectional relationship was found between FDI and economic growth, FDI and energy consumption, and FDI and CO2 emissions. We found that the EKC was not valid for Ghana, but the pollution haven hypothesis was confrmed for Ghana. We therefore conclude that ‘One district one factory’ policy would only be benefcial if Ghana attracts cleaner industries, environmental regulations get much stringent, and environmentally related taxes are elevated