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                  <text>Faculty of IT Business</text>
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                <text>Analysis of Personality Related Corporate Governance Factors and Performance of Ghana Club 100 Companies</text>
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                <text>Patrick Obeng Danso, Yusheng Kong, Michael Owusu Akomeah, Stephen Owusu Afriyie</text>
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                <text>The extant literature shows that when the CEO of a firm is the same as the chairman of the board of directors it is more likely to affect independence of the board and the management of the establishment. For this reason business organization ensure independence of the two persons in order to reduce the propensity for conflict of interest in the organization. The objective of this study is to establish the veracity in the claim that personality related factors of corporate governance exert significant influence on performance of forms. Hypothesis 1 is accepted because the analysis shows that CEO Duality has a negative influence on return on asset hence performance of firm. Similarly hypothesis 1b is also affirmed considering that a unit increase in CEO Succession also negatively influences the performance of firms in terms of their return on assets. The influence of board gender composition on the return on assets or firm performance as postulated in hypothesis 1c has also been affirmed by the positive and statistically significant relationships analysed in this study. The findings of this research do not support the influence of board educational level and board experience as a significant factor in stimulating the performance of firms. This is because both results returned ap value less than 0.05 at 95% confidence interval.</text>
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                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=TbSlw38AAAAJ&amp;amp;cstart=20&amp;amp;pagesize=80&amp;amp;citation_for_view=TbSlw38AAAAJ:roLk4NBRz8UC</text>
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                  <text>&lt;strong&gt;Faculty Research Publications&lt;/strong&gt;</text>
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                <text>Analysis of the effect of artificial intelligence on the academic performance, creativity and innovation of tertiary students in Ghana</text>
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                <text>Ebenezer Malcalm, Mr Isaac Boakye, Stewart Hevi, Esther Asiedu, Mr Emmanuel Anim</text>
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                <text>Artificial Intelligence (AI) is becoming an increasingly popular area of research globally (Bhagat, Chauhan &amp; Bhagat, 2022; Krinkin, Shichkina &amp; Ignatyev, 2022). AI is a branch of computer science that focuses on the development of intelligent machines that can perform tasks typically requiring human cognition, such as visual perception, speech recognition, and decision-making (Krinkin, Shichkina &amp; Ignatyev, 2022). The use of AI has significantly impacted various fields, including education. In recent years, the integration of AI in the education sector has been a subject of interest for researchers worldwide. AI is believed to have the potential to revolutionize the education sector. Tertiary education is a critical stage in a student's academic journey, where students are expected to acquire higher-level skills and knowledge to prepare them for the workforce. The incorporation of AI into the tertiary education sector can provide numerous benefits, including improving learning outcomes, enhancing student engagement, and providing personalized learning experiences (Nayal, Raut, Priyadarshinee, Narkhede, Kazancoglu &amp; Narwane, 2022). However, the impact of AI on student academic performance, creativity, and innovation in the tertiary education sector in Ghana is not well understood.&#13;
Despite the increasing interest in AI in the education sector, there is limited research on the impact of AI on student academic performance, creativity, and innovation within the tertiary education sector of Ghana. While there is some research on the use of AI in the education sector globally, most studies focus on the impact of AI in developed countries (Lin &amp; Yu, 2023 …</text>
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                <text>Analysis of the Performance of Foreign Banks and Domestic Banks in Ghana</text>
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                <text>Alethea Reynolds</text>
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                <text>The main aim of this project is to evaluate and compare the financial performance of both foreign banks and domestic banks in Ghana. It does this by using the financial statements of twenty-two (22) banks in Ghana for the period (2012-2016), employing the CAMEL analysis. It uses descriptive statistics and t-statistics for the analysis. From the result, foreign banks depend less on debt when funding their operation compared to domestic banks in Ghana. The average equity to asset ratio (capital adequacy) of foreign banks is higher than domestic banks since the bank of Ghana sets high capital requirements for foreign banks than domestic banks. In terms of asset quality, the study found that domestic banks are able to recover most of their loan portfolios than foreign banks. The study found that on the average, foreign banks have higher non-performing loans than domestic banks. The results indicate that foreign banks incur more costs or pay their managers more than domestic banks. In general, foreign banks are more liquid than domestic banks. To conclude, the study found no significant difference between the average performance (profitability) of foreign banks and the average performance (profitability) domestic banks. The study recommends that domestic banks should employ effective policies that impacts positively on the overall capital adequacy ratios, asset quality, management efficiency, profitability and liquidity risk. Management of banks must review their statement and analyze periodically their performance to know the extent to which debt components are being used to finance operations compared to equity; hence managers should know how and to what extent debt and credit risk influence their performance.</text>
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                <text>January 2018</text>
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                <text>Analytics, Data Science, &amp; Artificial Intelligence: Systems for Decision Support.11th Edition.</text>
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                <text>Ramesh, Sharda., Dursun, Delen., Efraim, Turban</text>
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                <text> Charles F. Vanover, Paul A. Mihas, Johnny Saldaña </text>
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                <text>The work analyzes Oil price effect fluctuations on performance of Petroleum products Marketing Companies in Nigeria. Trends of Oil price fluctuations and performance of Petroleum products Marketers are described here. The work further examines the effect of the fluctuation in Oil price on the performance of Petroleum products Marketers, and further checks the causal relationship between fluctuation of Oil price and the performance of Petroleum products Marketers in Nigeria between 1970 and 2018. Secondary data was employed for the analysis. The data was sourced from CBN Annual Report. Graphs were used to describe the trends of variables while the ARCH-GARCH analysis, granger causality test, and Vector Autoregressive analysis were employed in the analysis. Unit root test and the Co-integration test were also used to check for stationarity and long-run relationship, respectively. Jarque-Bera statistic for crude oil price (3.509752) with a probability of 0.172929 indicates normality, while that of Profit after tax is 6.370729 with probability value of 0.041363 indicates that there is no normal distribution. The stationarity test shows that all variables are I(1). Cointegration test showed the existence of one co-integrated equation at 5 per cent level of significance. The Error Correction Term (ECT) has a coefficient of -0.316976 with probability value 0.0184, which is significant at 5%. This indicates that in the short run, performance adjust to about 31% of the price fluctuation, while the remaining 69% is accounted for in the long-run. The F statistics of the ARCH LM test results also indicate that there is no ARCH effect. The F value of 2.02960 for causality from COP to LPAT and with probability value of 0.1564, shows that Oil price fluctuation does not granger-cause Performance of Petroleum products Marketers in Nigeria. Similarly, there is the absence of causal relationship from LPAT to COP, with F statistic and probability value of 0.95211 and 0.4020 respectively, thus there exist no causality between COP and LPAT.&#13;
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                <text>To present information such as causes of accidents and their consequences on the Ghanaian mining industry in the safety literature, classification schemes for incident analysis within the safety literature were studied. Human Factor Analysis and Classification Scheme (HFACS) emerged suitable for incident analysis. Base on its suitability for incident analysis within the Ghanaian Mining Industry (GMI), a derivative of the HFACS, namely HFACS-GMI, was proposed. This research seeks to study the usefulness and the applicability of the HFACS-GMI. Collectively, 56 incident investigation reports were obtained from an open cast gold mine in Ghana and analysed using the HFACS-GMI. Two cases, an equipment damage incident and an injury incident, were used to demonstrate the coding processing in identifying the causal factors. The analysis shows that most mishaps are associated with adverse workplace/operator conditions (151 references), with the physical environment (72.2%) being cited as the major causal code under the tier. Management decision showed a major contribution (74.1%) to mishap under the causal codes. Most cases were attributed to mistake error (57.4%) followed by the contravention (51.1%) of set rules and procedures with the operator's act tiers. Inadequate work standards (27.8%) and failure to ensure competency (24.1%) under the operational process and leadership flaw causal codes, respectively, were identified as the most cited nanocode. Management decision is critical in a mishap and should be given much attention in developing accident prevention strategies. The study has demonstrated that HFACS-GMI is …</text>
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                <text>Michael Hinneh, Davy Van de Walle, Julie Haeck, Enoch Enorkplim Abotsi, Ann De Winne, Arifin Dwi Saputro, Kathy Messens, Jim Van Durme, Emmanuel Ohene Afoakwa, Luc De Cooman, Koen Dewettinck</text>
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                <text>Conventional dark chocolate production methods that are applied in the industry consist of several steps, which require equipment with big investment costs. There are however few cost-effective alternatives suggested for small-scale production. Meanwhile, knowledge on these alternative equipment/techniques are insufficient to promote miniature production of high quality chocolates, either for research purposes in an industrial context, or for producers in developing countries, where the cost of investing in conventional equipment seems to be an impediment. The aim of this study was two-fold; first, to assess the feasibility of utilizing the ECGC-12SLTA CocoaTown melanger as an alternative to the conventional 3-roll refiner at different settings and fat content. Thereafter, one optimal setting was selected for each equipment for further investigation on the impact of the refining on some quality attributes of the final …</text>
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