204 10 3075 https://www.repository.gctu.edu.gh/files/original/a7ea0c38e56510b2ca1054f770d332a3.pdf 3535c7c90ac8eae7595ffec01b868c03 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 Modeling and Forecasting of Ghana’s Inflation Volatility Creator An entity primarily responsible for making the resource Abdul-Karim Iddrisu, Dominic Otoo, Iddrisu Wahab Abdul, Sylvia Ankamah Description An account of the resource In this paper, we assessed volatility of Ghana’s inflation rates for 2000 to 2018 using the auto-regressive conditionally heteroskedasticity (ARCH), generalized ARCH (GARCH), and the exponential GARCH (EGARCH) models. The inflation data were obtained from the Ghana Statistical Service (GSS). The proposed model should be able to provide projections of inflation volatility from 2019 and beyond. The results showed that higher order models are required to properly explain Ghana’s inflation volatility and the EGARCH(12, 1) is the best fitting model for the data. The EGARCH(12, 1) model is robust to model and forecast volatility of inflation rates. Also, the results suggest that we are forecasting increasing volatility and there is increasing trend in general prices of goods and services for 2018 and beyond. The forecasts figures revealed that Ghana’s economy is likely to be unstable in 2018 and 2019. This study therefore recommends that policy makers and industry players need to put in place stringent monetary and fiscal policies that would put the anticipated increase in inflation under control. The models were implemented using R software. Publisher An entity responsible for making the resource available Scientific Research Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2019 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:YOwf2qJgpHMC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/bb619d0e2db6dd35a29b1305302e76b2.pdf 6b26dc20681e771cf9f98ed6d8fc8725 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 Modeling Cholera Epidemiology Using Stochastic Differential Equations Creator An entity primarily responsible for making the resource Wahab A Iddrisu, Inusah Iddrisu, Abdul-Karim Iddrisu Description An account of the resource In this study, we extend Codeço’s classical SI‐B epidemic and endemic model from a deterministic framework into a stochastic framework. Then, we formulated it as a stochastic differential equation for the number of infectious individuals I(t) under the role of the aquatic environment. We also proved that this stochastic differential equation (SDE) exists and is unique. The reproduction number, R0, was derived for the deterministic model, and qualitative features such as the positivity and invariant region of the solution, the two equilibrium points (disease‐free and endemic equilibrium), and stabilities were studied to ensure the biological meaningfulness of the model. Numerical simulations were also carried out for the stochastic differential equation (SDE) model by utilizing the Euler‐Maruyama numerical method. The method was used to simulate the sample path of the SI‐B stochastic differential equation for the … Publisher An entity responsible for making the resource available Hindawi Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:kNdYIx-mwKoC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/0fc9c8e917b19b6574b8fae60364bde2.pdf 67cdec0f251c0401b7a4417ec90fbd0f 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 Modeling downtime severity of telecommunication networks using discrete time Markov chains Creator An entity primarily responsible for making the resource Wahab A Iddrisu, Ibrahim A Gedel Description An account of the resource Telecommunication network reliability remains a top priority for both customers and service providers. Downtime can result in revenue loss for providers and productivity loss for customers. Thus, accurately predicting downtime severity can help providers plan and respond effectively. This study models telecommunication network downtime severity using discrete-time Markov chains (DTMC). The data used consists of 1,211 daily network downtime records, in minutes, recorded by Ghana's national communications authority (NCA) from August 1, 2015, to April 30, 2021. The severity of daily downtime was categorized into 5 categories based on duration. Results indicate that the majority (n= 905) of daily network downtime was negligible, while only 25 outages were severe. The transition probability matrix indicates that if the present network downtime severity is negligible, there is an 81% chance that the next network downtime severity may also be negligible, a 12% chance of minimal severity, a 4% chance of significant severity, a 2% chance of serious severity, and a 1% chance of severe severity. The steady-state distribution indicates that over the long term (n≥ 17), 74% of network downtime severity is expected to be negligible, while only 2% is expected to be severe. Based on probability simulations for 12 steps, it is evident that the'negligible'category is the most probable network downtime severity, regardless of the initial severity category. These findings can assist telecommunication providers in better planning and delivering more reliable services to their customers. Publisher An entity responsible for making the resource available Accent Social and Welfare Society Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:4DMP91E08xMC 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 IT Business 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 Modeling ICT adoption and electricity consumption in emerging digital economies: Insights from the West African Region Creator An entity primarily responsible for making the resource Isaac Ankrah, Michael Appiah Kubi, Sampson Twumasi-Ankrah, Frank Gyimah Sackey, Richard Asravor, Brenya Boahemaa, Derrick Donkor, Lilian Arthur, Christopher Lamptey, Eric Ekobor-Ackah Mochiah Description An account of the resource This study investigates the impact of Information and Communication Technologies (ICT) on electricity consumption in West Africa, employing a dynamic panel data model. The results show a significant long-term positive effect of ICT adoption on electricity consumption. Notably, internet connections increase the demand for electricity, with estimates ranging from 13.4 % to 19.3 %. While mobile phone subscriptions demonstrate modest positive effect of 6.85 %, personal computer ownership appears to have a negligible impact. The study contributes to the existing literature by offering a detailed examination of the distinct effects of different ICT components on electricity consumption, incorporating a novel estimation approach and sensitivity analyses that account for the COVID-19 pandemic and the Anglo-French linguistic divide. What's more, the analysis constitutes an initial effort in the examining both short-term and … Publisher An entity responsible for making the resource available Pergamon Date A point or period of time associated with an event in the lifecycle of the resource 2024 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=8wFumg4AAAAJ&citation_for_view=8wFumg4AAAAJ: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 IT Business 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 Modeling ICT adoption and electricity consumption in emerging digital economies: Insights from the West African Region Creator An entity primarily responsible for making the resource Isaac Ankrah, Michael Appiah Kubi, Sampson Twumasi-Ankrah, Frank Gyimah Sackey, Richard Asravor, Brenya Boahemaa, Derrick Donkor, Lilian Arthur, Christopher Lamptey, Eric Ekobor-Ackah Mochiah Description An account of the resource This study investigates the impact of Information and Communication Technologies (ICT) on electricity consumption in West Africa, employing a dynamic panel data model. The results show a significant long-term positive effect of ICT adoption on electricity consumption. Notably, internet connections increase the demand for electricity, with estimates ranging from 13.4 % to 19.3 %. While mobile phone subscriptions demonstrate modest positive effect of 6.85 %, personal computer ownership appears to have a negligible impact. The study contributes to the existing literature by offering a detailed examination of the distinct effects of different ICT components on electricity consumption, incorporating a novel estimation approach and sensitivity analyses that account for the COVID-19 pandemic and the Anglo-French linguistic divide. What's more, the analysis constitutes an initial effort in the examining both short-term and … Publisher An entity responsible for making the resource available Pergamon Date A point or period of time associated with an event in the lifecycle of the resource 2024 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=qSyX_i8AAAAJ&citation_for_view=qSyX_i8AAAAJ:_FxGoFyzp5QC 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 IT Business 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 Modeling ICT adoption and electricity consumption in emerging digital economies: Insights from the West African Region Creator An entity primarily responsible for making the resource Isaac Ankrah, Michael Appiah Kubi, Sampson Twumasi-Ankrah, Frank Gyimah Sackey, Richard Asravor, Brenya Boahemaa, Derrick Donkor, Lilian Arthur, Christopher Lamptey, Eric Ekobor-Ackah Mochiah Description An account of the resource This study investigates the impact of Information and Communication Technologies (ICT) on electricity consumption in West Africa, employing a dynamic panel data model. The results show a significant long-term positive effect of ICT adoption on electricity consumption. Notably, internet connections increase the demand for electricity, with estimates ranging from 13.4 % to 19.3 %. While mobile phone subscriptions demonstrate modest positive effect of 6.85 %, personal computer ownership appears to have a negligible impact. The study contributes to the existing literature by offering a detailed examination of the distinct effects of different ICT components on electricity consumption, incorporating a novel estimation approach and sensitivity analyses that account for the COVID-19 pandemic and the Anglo-French linguistic divide. What's more, the analysis constitutes an initial effort in the examining both short-term and … Publisher An entity responsible for making the resource available Pergamon Date A point or period of time associated with an event in the lifecycle of the resource 2024 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=2H8lVDsAAAAJ&citation_for_view=2H8lVDsAAAAJ:IjCSPb-OGe4C 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 IT Business 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 Modeling ICT adoption and electricity consumption in emerging digital economies: Insights from the West African Region Creator An entity primarily responsible for making the resource Isaac Ankrah, Michael Appiah Kubi, Sampson Twumasi-Ankrah, Frank Gyimah Sackey, Richard Asravor, Brenya Boahemaa, Derrick Donkor, Lilian Arthur, Christopher Lamptey, Eric Ekobor-Ackah Mochiah Description An account of the resource This study investigates the impact of Information and Communication Technologies (ICT) on electricity consumption in West Africa, employing a dynamic panel data model. The results show a significant long-term positive effect of ICT adoption on electricity consumption. Notably, internet connections increase the demand for electricity, with estimates ranging from 13.4 % to 19.3 %. While mobile phone subscriptions demonstrate modest positive effect of 6.85 %, personal computer ownership appears to have a negligible impact. The study contributes to the existing literature by offering a detailed examination of the distinct effects of different ICT components on electricity consumption, incorporating a novel estimation approach and sensitivity analyses that account for the COVID-19 pandemic and the Anglo-French linguistic divide. What's more, the analysis constitutes an initial effort in the examining both short-term and … Publisher An entity responsible for making the resource available Pergamon Date A point or period of time associated with an event in the lifecycle of the resource 2024 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=dzxWX-AAAAAJ&cstart=20&pagesize=80&citation_for_view=dzxWX-AAAAAJ:hMod-77fHWUC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/4ce80bd28d0b23f072a4ca7fedb801b2.pdf 76ab33af3ab8ba5b0a5b81348543b81b 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 Modeling the Causes of Power‐Related Network Outages Using Discrete‐Time Markov Chains Creator An entity primarily responsible for making the resource Ibrahim A Gedel, Wahab A Iddrisu Description An account of the resource In this paper, we model the causes of power‐related network outages in Ghana using discrete‐time Markov chains. We used data consisting of 2,756 small‐scale carrier telecommunications outages occurring in Ghana, with accompanying root causes over a period of 5 years and 8 months, from August 2015 to April 2021. The results indicate that the majority (n = 1,404) of the network outages were caused by the generators while the least number (18) of outages were caused by a communication equipment. However, longer network outages were caused by fuel issues with an average outage time of 1,027.82 min over the study period. The transition probability matrix obtained from the data revealed that regardless of the present cause of the network outage, the probability that the next network outage will be caused by the generators is higher than the probability that the outage will be attributable to any other … Publisher An entity responsible for making the resource available Hindawi Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:qxL8FJ1GzNcC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/61d7e718b8863e5ac354eacb5e36a301.pdf 483a7b358fd0451f85d8a25970a11649 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 Modeling the Trend of Performance of the Manchester United Football Club in the 1960-2013 English Premiership Creator An entity primarily responsible for making the resource Linus Addae, Martin Owusu Amoamah, Iddrisu Wahab Abdul, Osei Antwi Description An account of the resource This research studied the trend of performance of Manchester United Football Club in the 1960-2013 English premiership seasons. The three main variables involved in this study are the number of games won, games drawn and games lost by Manchester United for the study period. But this study concentrated on the number of games lost since the objective of every manager of a team is to minimize loss and maximize win or draw. Thus the objective of this study is to develop a model for predicting the number of games that would be lost by Manchester United in future seasons using games played in the previous seasons. The data used for this study are secondary data obtained from sportamok and English premiership websites. The statistical technique used for this study is time series analysis. Specifically, Autoregressive Integrated Moving Average (ARIMA) model was used to develop a model for the number of games lost by Manchester United. The model was used to forecast for the next fifteen seasons. The model predicted that Manchester United will lose six (6) games for 2013/2014 season. Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:2osOgNQ5qMEC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/13b6febb80ee72c3b1c49e80d2855151.pdf 613ffeb36355cb108b46e398b9b7ab3f 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 Modeling total quality management framework for higher education institutions in Ghana Creator An entity primarily responsible for making the resource Nusrat-Jahan Abubakar, Emmanuel Freeman, Kennedy Fosu Oppong Description An account of the resource The aim of this study is to model an appropriate Total Quality Management (TQM) framework for Higher Education Institutions (HEIs) in developed and developing countries particularly Ghana. The driving force for this study is the low-quality standards that most public universities in Ghana have compromised over the past years. However, they are known as the best standards for most private institutions. This situation called for the need for the researchers to embark on this study. Empirical studies of TQM and TQM frameworks in HEIs was conducted. The study employed both qualitative and quantitative analysis. The case study design was also used to describe and access the phenomenon. Purposive sampling technique was used to select fifteen (15) Quality Assurance Officials from three public HEIs in Ghana. A sample size of 400 respondents were used for the analysis of the quantitative data. The qualitative … Publisher An entity responsible for making the resource available IEEE Date A point or period of time associated with an event in the lifecycle of the resource 2019 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:zYLM7Y9cAGgC Language A language of the resource English