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                <text>From Smartphones To Computerized Business Operations: Modeling ICT Development and Electricity Consumption in Emerging Digital Economies</text>
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                <text>Isaac Ankrah, Michael Appiah-Kubi, Sampson Twumasi-Ankrah, Frank Gyimah Sackey, Richard Asravor, Brenya Boahemaa, Derrick Donkor, Lilian Arthur, Christopher Lamptey, Eric Mochiah</text>
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                <text>economies imposes incessant pressure on their energy systems. It has become crucial to draw result implications for future energy sustainability by exploring all relevant issues, particularly in light of how Information and Communication Technologies (ICT) influence electricity demand. Using the West African region as the subject of analysis, this study provides insights into the implied connection, taking into account the region’s disparate cultural and linguistic patterns. The study is complemented by a result-based analysis of the socioeconomic and policy implications. The outcomes, derived from the application of a dynamic panel data model to a dataset spanning 1990-2021, show that ICT adoption has significant implications on electricity consumption, with notable positive impact observed in the long run. Interestingly, this effect is largely driven by French-speaking countries in the region. Beyond this statistical revelation, this study underscores the need for a balanced approach to address the ICT-electricity demand interplay. An important conclusion emerges: Embracing digitalization while ensuring energy security and sustainability can unlock economic growth, promote social inclusion, and foster a sustainable future for West Africa.</text>
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                <text>Government Expenditure Pertaining to Economic Growth</text>
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                <text>The study was conducted through the application of cointegration regression test was conducted to ascertain the long run relationship and elasticity for the degree of responsiveness of GDP to changing government expenditure using a data series acquired from the world data bank for the period 1990-2014. Based on the results gained from the analyses, the results of the unit root propose that all the variables in the model are stationery and the causality test suggests that GDP causes government expenditure. The results obtained from the cointegration test revealed Government Expenditure (GE) is not equal to zero (insignificant) from the correlation analysis, indicative of a positive relationship between GE and GDP which is evidence that GDP and Government Expenditure (GE) move in the same direction. An increase in one affect the other positively. Conclusively, the results discovered a positively significant …</text>
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                <text>This paper presents preliminary findings from an ongoing investigation into the effect of continuous professional development (CPD) on the teaching of university lecturers. We sought to explore the experiences of lecturers who have taken part in CPD and how these experiences had changed their teaching styles. Specifically, the objectives were to inquire into their reason (s) for embarking on CPD, the types of CPD undertaken as well as the changes that had been made in their teaching, learning and assessment practice as a result of their CPD. The study used interviews as well as self-reflective reports to ascertain answers to these objectives from participants‟ perspectives. This paper compares and determines the most important changes that have occurred in the teaching/learning at the Ghana Technology University College and possible future impact that the changes may have on lecturers.</text>
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                <text>INTERNATIONAL JOURNAL OF TECHNOLOGY AND ENTREPRENEURSHIP</text>
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                <text>A Framework for the Evaluation of Factors Affecting Smart Contract Adoption and Enforceability in Port Supply Chain Industry in Ghana</text>
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                <text>This study examines the adoption of smart contracts from the legal, technological, and cultural perspectives in the port supply chain network and how these factors influence smart contracts enforceability. This study follows a Design Science Research (DSR) approach that guides developing IT artefacts and their use in practice. To develop our framework, relevance was achieved by investigating shortcomings of smart contract implementations relative to enforceability within the knowledge base of blockchain technology implementations. Additionally, thirty-five major stakeholders were interviewed for their lived experiences. The constant comparative analytical method was applied using open coding for initial categorization of smart contract concepts and axial coding for removal of overlapping concepts while iteratively testing the concepts against data. The factors that emerge from the papers and the expert …</text>
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                <text>An Investigation Into Self-Regulated Learning in a Virtual Classroom: A High-Education Perspective</text>
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                <text>EA Mensah, PJ Sachi, RA Greene, FS Loglo, DO Donkor, S Bempah</text>
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                <text>In the wake of the global pandemic (COVID-19) and restrictions on human-to-human contacts, higher education institutions have turned to e-learning as a solution to keep teaching and learning going. Indeed, aside from allowing the continuation of education during situations like that, the other argument supporting e-learning is because of its social constructivist pedagogy and effective self-regulated learning. However, the claim of self-regulated learning in the context of e-learning has not empirically been validated. Thus, based on responses from 116 individuals, using a mixed-method approach, we sought to evaluate the effect of the use of the Learning Management System on students' self-regulated learning. Our findings indicate that despite the advantages of convenience and access to materials provided, the system did not appear to regulate students learning with significant challenges of unreliable internet connectivity, lack of key functionalities and features ultimately impeding optimal use. The study discusses these findings and draws implications for theory and practice.</text>
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                <text>Faculty perspectives on barriers of blended-learning adoption: A Ghana technology university college case study</text>
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                <text>Ahmed Antwi-Boampong</text>
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                <text>Ghana Technology University College (GTUC) adopted Blended-Learning as the main teaching and delivery approach in 2014 with the aim of uploading eighty percent of course contents online by 2021.This approach however has not found wide spread adoption from faculty members who are expected to lead the drive. This paper presents findings from an exploratory, qualitative case study that examines the factors that inhibit faculty’s’ successful adoption of blended- learning. A total of 15 faculty members from four faculties of Ghana Technology University College (GUTC) responded to interview questions. Findings were based on content analysis of transcripts. The results of the study show that factors impacting on faculty decisions to adopt blended- learning were:- inadequate technical support, inadequate faculty capacity, wrong training approach, inadequate facilities, lack of management commitment to the …</text>
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                <text>Capital Market Development and Economic Growth’s Pertinent Classification</text>
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                <text>The study re-examines the short run and long run relationship between stock market development and economic growth in Ghana. The study employed secondary quarterly data spanning 1991-2014. To empirically test the relationship between the two variables, first, the study employed the Unit root test, Johansen’s cointegration test and the Granger causality test. The Autoregressive Distributed Lag (ARDL) and Error Correction Model (ECM) were also used to capture both the short-run and long-run dynamics. The results reveal that there is cointegration between the two variables and the existence of a weak long run causality flow from economic growth and stock market development. Conclusively, the extent to which Ghana stock market development affects economic growth is negative and statistically weak.</text>
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                <text>Modeling ICT adoption and electricity consumption in emerging digital economies: Insights from the West African Region</text>
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                <text>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</text>
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                <text>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.&#13;
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 …</text>
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                <text>Pergamon</text>
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                <text>2024</text>
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                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=2H8lVDsAAAAJ&amp;amp;citation_for_view=2H8lVDsAAAAJ:IjCSPb-OGe4C</text>
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                <text>Assessing Factors Affecting the Blockchain Adoption in Public Procurement Delivery in Ghana: A Correlational Study Using UTAUT2 Theoretical Framework</text>
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                <text>David King Boison, Ebenezer Malcalm, Ahmed Antwi-Boampong, Musah Osumanu Doumbia, Kamal Kant Hiran</text>
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                <text>The study assessed the factors that influence the adoption of blockchain (BC) in Ghana's public procurement delivery. The study adopted correctional design and utilized the extended unified theory of the acceptance and use of technology (UTAUT2) as the conceptual basis to determine whether performance expectancy (PE), behavioral intent (BI), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), price value (PV), and habit (HT) were predictors of the intention of state owned enterprises to adopt blockchain programs in the implementation of the public procurement act. Only four constructs, namely PE, EE, FC, and HT, were found to influence the behavioral intention (BI) of service providers to participate in a BC. This study provides a deeper understanding of the adoption of BC in the delivery of public contracts.</text>
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                <text>IGI global</text>
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                <text>2022</text>
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                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=riwB9JUAAAAJ&amp;amp;citation_for_view=riwB9JUAAAAJ:Xz60mAmATU4C</text>
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                  <text>Faculty of IT Business</text>
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                <text>Is energy transition possible for oil-producing nations? Probing the case of a developing economy</text>
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                <text>Isaac Ankrah, Kingsley Dogah, Sampson Twumasi-Ankrah, Frank Gyimah Sackey, Richard Asravor, Derrick Ofori Donkor, Christopher Lamptey, Lilian Arthur</text>
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                <text>An expected decline in oil revenue and a complicated global energy market present significant concerns about oil-producing countries’ intentions to move away from fossil fuels. Understanding the dynamics of these concerns, particularly in light of potential energy transitions, is crucial for future energy supply and sustainable energy discussion. Given the scarcity of research on the issue, this study examined whether an implied shift from fossil fuels to a cleaner energy state is possible for Ghana, a small oil-producing economy in sub-Saharan Africa. A two-state Markov Switching Model (MSM) was applied to a dataset covering 1980–2019. Results based on a multivariate state-dependent regression technique were documented as follows: First, the probability of transitioning from a nonrenewable energy state to a renewable energy state is 76.5%. Second, there is 80.2% chance of remaining in a renewable energy …</text>
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                <text>Elsevier</text>
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                <text>2023</text>
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                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=2H8lVDsAAAAJ&amp;amp;citation_for_view=2H8lVDsAAAAJ:qjMakFHDy7sC</text>
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