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                <text>Hybridizing an extended technology readiness index with technology acceptance model (TAM) to predict e-payment adoption in Ghana</text>
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                <text>At the heart of electronic commerce is the ability of a customer to be able to pay for goods and services unrestricted by location. Electronic payment system offers customers the convenience and flexibility to digitally pay online. Our study extended the technology readiness index and evaluated its influence on the technology acceptance model to predict user acceptance and use of e-payment technology. An online version of a questionnaire was administered to the population aged 1500 users of e-banking and mobile money users in six cities in Ghana (Accra, Tema, Kumasi, Cape Coast, Sekondi-Takoradi and Tamale) on the social media. A printed version of the questionnaire was self administered to other respondents largely, users of mobile transfer services in Ghana who did not have access to reliable internet services or computer. The post-data integrity results was analysed using a robust version of feed forward Radial basis function neural network. We observed a non-inflated overall incorrect prediction score between below 25% in both cases. It decomposed into a positive and significant relationship between personal innovativeness, personal optimism, high perceived convenience and perceived usefulness and perceived ease of use which positively influences epayment adoption. The case of personal insecurity and personal discomfort returned negative effects and are consistent with the extant literature</text>
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                <text>Energy in all forms is a key requirement for human livelihoods and socio-economic development. However, overreliance on a single sthece of energy can cause energy management issues because of the occurrence of system over-burdening. Thus, the utilization of other forms of energy is highly promoted worldwide, with a clear emphasis on enhancing environmentalism and reducing pollution through waste management and control. This paper considers the use of digital image processing in the form of pattern recognition to extract the pattern of a coconut shell and charcoal wood to show the correlation between their patterns and thus deduce the energy properties of the coconut shell.</text>
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                <text>Ruhiya Abubakar, Amevi Acakpovi Electrical, Micheal Agyare, Samuel Afoakwa</text>
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                <text>In modern technology and systems modeling, electric energy forecasting is extremely vital in gaining effective application of energy policies. This model is formulated after a thorough study of the power load conditions of Ghana as well as the factors that affect domestic electricity demand of supply in the Country was conducted. In Ghana, the LEAP (Long-range Energy Alternatives Planning) forecast model is officially applied for electricity demand and projection of power supply which comes with forecasting errors. Thus, there exists a crucial need to develop a forecasting model for the best energy policies formulation and consequent minimization of overall forecasting error compared to the LEAP model. Results from the quantitative classical multiplicative decomposition forecast model is comparatively precise with a reduced forecast error margin between− 5–4.5% compared to an existing prediction error margin viz., 1% to-11%.</text>
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                <text>In the manufacturing industry of Printed Circuit Boards (PCBs), the quality and reliability of circuits are highly dependent on the accuracy of the manufacturing processes. Etching is the most sensitive process needed in manufacturing processes and needs more accuracy. In cases of etching inaccuracies, severe problems may occur, leading to the degradation of circuit performance and the malfunction of circuits.</text>
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                <text>Application of Classical Multiplicative Decomposition Time Series Predictive Model for the Forecast of Domestic Electricity Demand and Supply: A Ghanaian Context.</text>
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                <text>In modern technology and systems modeling, electric energy forecast is extremely vital for the attainment of effective application of energy policies. This model is formulated after a thorough study of the power load conditions of Ghana and the factors that affect domestic electricity demand and supply in the country was conducted. In Ghana, the Long-range Energy Alternatives Planning (LEAP) forecast model is officially applied for electricity demand and projection of power supply which comes with forecasting errors. Thus, there exists a crucial need to develop a forecasting model for the best energy policies formulation and consequent minimization of overall forecasting error compared to the LEAP model. A step-by-step mathematical approach of forecasting time series data of all the domestic electricity demand areas of Accra, namely: Mallam, Achimota and Accra East 9-year data was applied in the forecasting …</text>
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                <text>This paper proposes a model of PCB traces for high speed digital systems. The adopted approach involves predetermined geometry using direct discretization of transmission lines. Initially, the proposed methodology involves computing the line propagation delay by employing its geometry with associated empirical equations. The initial procedure paves the way to design a Lattice diagram which depicts multiple reflections that the signal underwent due to impedance mismatches between transmission lines and loads. Subsequent computations of electrical model parameters were further done. Simulation results using Multisim software illustrated a favorable performance with a time delay of 1.42 ns and an equivalent electrical model of 10 lumped LC cells. The time delay between input and output signal obtained from the simulation was approximately 15.152 ns corresponding to the time it took for a transmitted …</text>
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                  <text>&lt;strong&gt;Faculty Research Publications&lt;/strong&gt;</text>
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                <text>Calvin Kwesi Gafrey, Robert Wilson, George Amoako, Benjamin Anderson</text>
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                <text>The petroleum industries benefit immensely from developing scientific processes and procedures that determine characteristics of crude oils and distinct them. This is because crude oils are acquired from various geological sources and each sedimentary rock has its own distinct chemical properties that affect extraction, refinery and environmental safety. Extraction of crude oils may result in exposure of some radionuclide elements from sedimentary rocks into the environments. This nuclear exposure may affect lives and can cause ecological imbalance. Applications of gamma emission spectroscopy has grown rapidly around the world because of its accurate measurement and precision. Such technique has not been applied for the study of naturally occurring radionuclide materials (NORMs) in crude oils from the active oil fields in Ghana. The study employed the use of gamma spectroscopic technique for characterization of crude oil samples from Jubilee Oil Field, Tweneboa Enyenra Ntomme (TEN) Oil Field and Saltpond Oil Field. The technique was applied on four crude oil samples. The results of this paper actually report on radionuclide concentrations of naturally occurring radioactive materials in four crude samples using a Gamma-Ray spectrometer. Three radionuclides, radium-226 (226 Ra), thorium-232 (232 Th) and potassium-40 (40 K), were identified from each crude sample (JF, TF SF-1 and SF-2). It was observed that samples from Saltpond Oil Field estimated the highest activity concentration and the</text>
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                <text>Conceptualising Ethical Consumption and Climate Change Mitigation Strategies in the Hospitality Industry-Challenges, Solutions, and Prospects</text>
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                <text>George Amoako, Robert K Dzogbenuku, Hayford Amegbe, Aidatu Abubakari, Michelle Afrifah</text>
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                <text>This study conceptualises ethical consumption and climate change mitigation strategies by exploring the hospitality industry's challenges, solutions and practices. The study selected articles on ethical and climate change issues from the Scopus and Web of Science databases. The findings revealed a possible relationship between the antecedent factors of ethical consumption, ie, patronage of organic labels, green environmental management, waste management, renewable energy management, and climate change. The study anticipates the mitigating effects of climate change would significantly affect firms' sustainable competitiveness in emerging countries. This study enhances understanding of ethical consumption behaviour strategies, challenges, and solutions in emerging countries.</text>
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                <text>IMPACT OF ENTREPRENEURS’PERSONAL VALUES, ATTITUDES, AND ROLE PERCEPTIONS ON BRAND IMAGE FORMATION: THE MODERATING ROLE OF BRAND AMBIDEXTERITY</text>
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                <text>Solomon Tawiah Yeboah, Haider Yasmeen, George Kofi Amoako</text>
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                <text>The study examined the relationship between apparel fashion entrepreneurs’ personal attitudes, values, role perceptions, and brand image formation, focussing on the moderating role of brand ambidexterity. A cross-sectional and quantitative research design was used to collect data from 245 apparel fashion entrepreneurs through convenient sampling. Analysis with SmartPLS3 revealed personal values, attitudes, and role perceptions significantly influence brand image formation. Brand ambidexterity also moderated the relationship between personal values and brand image formation, but not the relationships involving personal attitudes and role</text>
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