123
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3075
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Title
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Faculty of Computing and Information Systems
Text
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Title
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Using Principal Component Analysis to Identify Latent Factors Influencing Ghanaian Irrigation Project Abandonment
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Chelteau Barajei, Emmanuel Adinyira, Ebenezer Boakye, Clinton Aigbavboa, Abdul Wahab Iddrisu
Description
An account of the resource
Despite the investments and efforts to develop irrigation systems, many irrigation projects in Ghana are not working up to design expectations, whilst others have been abandoned altogether. To address this, factors influencing the abandonment of small-scale irrigation schemes in Ghana were interrogated. The study employed the quantitative approach to gather data from key stakeholders. Of the 170 questionnaires distributed, 125 responses were retrieved and analysed using factor analysis. The study revealed that 12 factors influence the abandonment of small-scale irrigation projects and subsequently grouped them into institutional, social, construction, and economic factors. Social factors had the most significant influence (28.68%), followed by economic factors (22.10%), and construction factors (18.88%), with institutional factors having the least impact (10.79%). This is the first study to identify factors …
Publisher
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Springer Nature Switzerland
Date
A point or period of time associated with an event in the lifecycle of the resource
2023
Source
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https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:eQOLeE2rZwMC
Language
A language of the resource
English
-
https://www.repository.gctu.edu.gh/files/original/351ca5c9db3dbb3bcd78615f4c80026b.pdf
6ca1411f5a1ac4d2e4889f23d65c30c1
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty of IT Business
Dublin Core
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Title
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Understanding the market in higher education in Africa
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Robert Ebo Hinson
Description
An account of the resource
Marketisation is the application of economic theory to the practice of higher education. This is
based on the fundamental notion of the primacy of the market as a tool for business and
strategic decisions. The market is the primary unit of focus as it determines supply and demand,
while the ultimate goal is the maximisation of productivity and profit margins. However, there
are persistent arguments against the marketisation of higher education. The commercialisation
or commodification of education and its transactionalisation as a good to be sold by universities
and purchased by students is probably the most prominent critics. The chapter theoretically
explored the notion of marketisation and its growth on the African continent and discussed the
six conceptual ideas had become well developed in the marketisation of higher education in
order to provide a backdrop for the work covered in the subsequent chapters of this book. The
concluding section of the chapter provides an overview of the chapters in the book.
Keywords: marketisation, marketing communication, branding, higher education,
universities, Africa, edited book, introduction.
Publisher
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University of the Free State, South Africa
Source
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https://gala.gre.ac.uk/id/eprint/26184/7/26184%20MOGAJI_Understanding_The_Market_In_Higher_Education_In_Africa_%28AAM%29_2019.pdf
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https://www.repository.gctu.edu.gh/files/original/9032a5106669a287ed18a008b46da940.pdf
ef08af1342148ba6733c0f9f0734cf8d
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty of Computing and Information Systems
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
Dublin Core
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Title
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Joint modeling of longitudinal CD4 count data and time to first occurrence of composite outcome
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Abdul-Karim Iddrisu, Wahab Abdul Iddrisu, Abu Sambor Gambedu Azomyan, Freedom Gumedze
Description
An account of the resource
In this study, we jointly modeled longitudinal CD4 count data and survival outcome (time-to-first occurrence of composite outcome of death, cardiac tamponade or constriction) in other to investigate the effects of Mycobacterium indicus pranii immunotherapy and the CD4 count measurements on the hazard of the composite outcome among patients with HIV and tuberculous (TB) pericarditis. In this joint modeling framework, the models for longitudinal and the survival data are linked by an association structure. The association structure represents the hazard of the event for 1-unit increase in the longitudinal measurement. Models fitting and parameter estimation were carried out using R version 4.2.3. The association structure that represents the strength of the association between the hazard for an event at time point j and the area under the longitudinal trajectory up to the same time j provides the best fit. We found …
Publisher
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Elsevier
Date
A point or period of time associated with an event in the lifecycle of the resource
2024
Source
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https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:4TOpqqG69KYC
Language
A language of the resource
English
-
https://www.repository.gctu.edu.gh/files/original/34308de63d1fd093d6a4b7bac9d70d46.pdf
5bc08640d6b8964cdf468a7a16a7df92
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty of Computing and Information Systems
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Spatio-Temporal Modelling of COVID-19 Dynamics in Africa
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Iddrisu Wahab Abdul
Description
An account of the resource
Since the outbreak of COVID-19 in China, in December 2019, almost no country in the world has been spared the devastation caused by the pandemic. In this paper, I model and analyze the trend of COVID-19 in Africa along space and time, in order to provide accurate and reliable predictions of the dynamics of the disease in Africa. Data on daily confirmed cases of COVID-19 for fiftytwo countries in Africa from February 14, 2020 to December 04, 2020 were obtained from “Our World in Data”(OWID). A model that captures space-time dependence was fitted to the data and used for analysis. The results indicate that the second wave of the pandemic in Africa is yet to reach its peak. The results also indicate that countries in Africa have been affected by the disease to a very heterogeneous extent during this period. It was also observed that the average reproduction of the disease within countries in Africa, which is known as the autoregressive effect was about 0.46 while the neighbourhood effect, which is the transmission of the disease from adjacent countries, was quite negligible. The seasonality-adjusted factor which indicates how the basic endemic incidence increases per day was observed to be about 1.23 while the epidemic proportion of the disease incidence in Africa was found to be 46%. These findings, indicating where and when the incidence of the disease will be high may be useful for public health decisionmaking, as they provide time to intervene on the local public health systems.
Date
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2020
Source
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https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:UeHWp8X0CEIC
Language
A language of the resource
English
-
https://www.repository.gctu.edu.gh/files/original/4b350421ee2352b59efcecda3aeba34c.pdf
0ea7b6e83b0d39621f457a128d281c25
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty of Computing and Information Systems
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
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Title
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Modelling the effects of bile and nutrients on microbes and the evolution of temperature, electrical conductivity, surface tension and pH during biodegradation of used engine …
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Imoro Abubakari Zarouk, Iddrisu Wahab Abdul, Abubakari Issah
Description
An account of the resource
At five levels of Bile (No bile, 1.2 ml, 1.4 ml, 1.6 ml and 1.8 ml) and two nutrient levels (Nutrient medium and No Nutrients) the effect of Bile and Nutrients on microbes and the evolution of temperature, electrical conductivity, surface tension and pH were studied and modeled during the bioremediation of a petroleum hydrocarbon contaminated water. Analysis of variance (ANOVA) for α= 0.05 was used to show the variations in parameter values according to the levels of Bile and Nutrients. Microbial colony numbers and pH generally did not show a uniform evolution trend as the level of Bile increased but showed an increasing trend with increment in Nutrients level. Temperature increased with increasing Bile and Nutrients levels only when either Bile or Nutrients Medium was the lone supplement in the experiment. Electrical conductivity increased with increasing levels of Bile whiles surface tension decreased with increasing levels of Bile and
Publisher
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J Environ Earth Sci
Date
A point or period of time associated with an event in the lifecycle of the resource
2012
Source
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https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:YsMSGLbcyi4C
Language
A language of the resource
English
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty of Computing and Information Systems
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Using Item Response Theory to Understand Item-Nonresponse (Missing Data) in Ghanaian Surveys
Creator
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Abdul Iddrisu Wahab
Description
An account of the resource
After reviewing the theoretical and empirical literature on Item Response Theory (IRT) and Item-Nonresponse, this study investigates three issues: Firstly, to identify the most appropriate IRT model for understanding item-nonresponse. Secondly, to find out the reason behind ''don't know'' responses and missing data; whether respondents don‟t really know, don‟t care, or don‟t want to tell. Finally, to find out the characteristics of nonrespondents in Ghanaian surveys. Secondary analyses were done on questionnaire data collected in the 5th wave of the world values survey. All items were dichotomously scored. 0 was assigned to missing or „don‟t know‟ responses, and 1 was assigned to answered items. The data was analysed based on four item response theory models namely, the constrained Rasch model, the unconstrained Rasch model, the two parameter logistic model, and the three parameter logistic model …
Date
A point or period of time associated with an event in the lifecycle of the resource
2012
Source
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https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:LkGwnXOMwfcC
Language
A language of the resource
English
-
https://www.repository.gctu.edu.gh/files/original/1ec08497a6425d11bd063e78029d50ca.pdf
1885b4123be2b27796e71729f5d3b892
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty of Computing and Information Systems
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Spatial bayesian methods of flow forecasting in the Black Volta river
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Iddrisu Wahab Abdul, Kaku Sagary Nokoe, Frank Badu Osei, Eric Ofosu Antwi
Description
An account of the resource
The use of Spatial Bayesian Vector Autoregressive (SBVAR) models for river flow forecasting is studied in this paper. SBVAR models based on both the First Order Spatial Contiguity (FOSC) and the Random-Walk Averaging (RWA) priors were estimated and compared in terms of forecast performance. Monthly data on river flows from January 2000 to December 2009 for the four gauge stations along the Black Volta River namely, Lawra, Chache, Bui and Bamboi was obtained from the hydrological services department of Ghana and used for model fitting. The estimation and forecasting procedure was conducted using the Econometrics Toolbox in MATLAB. Mean Absolute Percentage Errors (MAPEs) were calculated for all models considered. The results indicated very good forecasts for all the models considered. However, a comparison among them clearly indicated a much better performance by the SBVAR model based on the RWA prior which considered flows from only the immediate upstream gauge station as important while flows from all other gauge stations were considered unimportant.
Publisher
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European journal of scientific research
Date
A point or period of time associated with an event in the lifecycle of the resource
2016
Source
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https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:MXK_kJrjxJIC
Language
A language of the resource
English
-
https://www.repository.gctu.edu.gh/files/original/ff6943f27948debd28ea253c8d99cefd.pdf
16f6c080b109c47234c345b6108a6eab
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty of Computing and Information Systems
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Assessment of COVID-19’s impact on hotels in Ghana: Case study of hotels in Accra and Kumasi
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Deri Mildred Nuong, Iddrisu Wahab Abdul, Wireko-Gyeib Sampson, Zaazie Perpetual, Mohammad Faiz Afzal
Description
An account of the resource
The spread of COVID-19, travel restrictions and social distancing continue to affect the hotel industry globally. Using Accra and Kumasi metropolis, the aim of the study is to assess the impact of the COVID-19 on hotels in Ghana. The Survey technique is used. Data was collected from 80 hotel managers using questionnaires. Paired sample t-test was used to compare the average number of employees before COVID-19 and the average number of employees presently at post. Analysis of variance (ANOVA) was used to compare the different levels of impact on the different types of hotels in the country. The major findings are indicated about employees from different hotels on total number of employees before and during COVID-19. Moreover, results also highlighted on the negative impact on Ghana’s hotel industry due to this pandemic spread globally. Implications are discussed.
Publisher
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International Journal of Tourism and Hotel Management
Date
A point or period of time associated with an event in the lifecycle of the resource
2020
Source
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https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:_kc_bZDykSQC
Language
A language of the resource
English
-
https://www.repository.gctu.edu.gh/files/original/a2d4875c0f9563b645cf9b59840d385a.pdf
b023b97336e146451e1f09c59a219049
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty of IT Business
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Managing market innovation for competitive advantage: how external dynamics hold sway for financial services
Creator
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Robert Ebo Hinson
Description
An account of the resource
Abstract: From the complexity theory, it is argued that external factors largely determine the effectiveness of firm-level strategies. Hence, firms must seek to align their strategies such as market innovation with the prevailing business environment to achieve competitive advantage. We investigate the moderating effect of three environmental factors, regulatory regime, competitive intensity and customer demand on the relationship between innovation and competitive advantage creation in financial services firms. Data were collected from the Ghana’s financial services sector with a focus on banking and insurance institutions. Constructs were validated through confirmatory factor analysis while robust regressions estimates were run to test their hypothesised relationships. We found that both competitive intensity and regulatory regime positively increase the effect of market innovation on competitive advantage. It was also found that the interaction between competitive intensity and regulatory regime has a positive effect while the interaction between customer demand and regulatory regime dampens the positive relationship
Publisher
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200X Inderscience Enterprises Ltd.
Source
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https://scholar.google.com/scholar?start=20&q=Robert+Ebo+Hinson&hl=en&as_sdt=0,5
Language
A language of the resource
English
-
https://www.repository.gctu.edu.gh/files/original/da835c970bbaf12f683ecda81501c4f8.pdf
a9838dd0af1904897469b7907e3a6f44
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Food Science
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
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The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Nutrition and food
Creator
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Emmanuel Ohene Afoakwa, Agnes Simpson Budu, Clement Asiedu, Linley Chiwona-Karltun, Drinah B Nyirenda
Description
An account of the resource
High yielding and cassava mosaic disease (CMD) resistant cassava varieties have been developed by the Crop Research Institute of Ghana with varying compositions and concentrations of starches and sugars. This study characterized four of these improved cassava varieties (Ampong, Broni bankye, Sika and Otuhia) together with two traditional varieties (Amakuma and Bankye fitaa) for their composition of starches and sugars using principal component and cluster analyses. The concentration of total sugars, reducing and non-reducing sugars, sucrose, starches, amylose and amylopectin were determined using standard analytical methods. Results obtained were total sugar (4.04-18.47%), non-reducing sugar (2.08-16.21%), sucrose (1.98-15.40%), starch (15.39-31.07%) and amylose (30.57-40.33%) and these were significantly different (p< 0.05) amongst the studied cassava varieties. The improved varieties (Ampong, Broni bankye, Sika and Otuhia) had high total sugar levels ranging from 7.19 to 18.47%. With the exception of Broni bankye (improved variety) all the improved and traditional varieties were high starch and amylose containing varieties. These differences in the biochemical composition of the traditional and improved cassava varieties could be used in their selection for specific food and industrial processing applications.
Date
A point or period of time associated with an event in the lifecycle of the resource
2011
Source
A related resource from which the described resource is derived
https://scholar.google.com/citations?view_op=view_citation&hl=en&user=EZuX1N8AAAAJ&cstart=80&citation_for_view=EZuX1N8AAAAJ:35N4QoGY0k4C
Language
A language of the resource
English