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                <text>This study describes the occurrence and profile of eight polycyclic aromatic hydrocarbons (PAHs) in fresh and cooked processed cowhide (wele) singed with different fuels. It also assessed the health risks associated with the consumption of this popular delicacy. The 8PAHs were all detected in the wele samples singed with scrap tires, whereas 5 and 3 carcinogenic PAHs were detected in the firewood and liquefied petroleum gas (LPG) singed wele, respectively. For each of the specific PAH detected, the contents in the wele samples were generally ranked as scrap tires &gt; firewood &gt; LPG. The average concentrations of benzo[a]pyrene for cooked wele samples were 2.75 ng g−1(firewood) and 22.85 ng g−1(scrap tires); exceeding the 2.0 ng g−1 European Commission regulation maximum levels (MLs) for smoked products. For the carcinogenic risk exposure assessment, the dietary intake based on benzo[a]pyrene …</text>
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                <text>Iffet, Kesimli</text>
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                <text>Extrusion cooking of rice‐groundnut‐cowpea mixtures–effects of extruder characteristics on nutritive value and physico‐functional properties of extrudates using response …</text>
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                <text>Response surface methodology was used to study the effect of extruder characteristics on product quality of rice‐groundnut‐cowpea extrudates using a single‐screw extruder. The combined effect of cowpea (0–20%), groundnut (0–10%) and feed moisture (12.02–44.06%) were used to formulate the products. Product moisture, protein, fat, ash, bulk density, expansion ratio, water absorption capacity (WAC) and swelling capacity were determined. Well‐expanded rice‐legume blend extrudates of less bulk density and lower moisture content were produced at low feed moisture. Addition of legumes resulted in significant increases in protein, fat and ash contents of the rice‐legume extrudates while increasing cowpea increased all the physico‐functional properties. The models developed gave R2 values ranging from 64.01% (WAC at 70C) to 86.5% (bulk density) and suggested that the optimal process …</text>
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                <text>Eli Fianu, Craig Blewett, George Oppong Appiagyei Ampong, Kwame Simpe Ofori</text>
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                <text>There has been widespread criticism about the rates of participation of students enrolled on MOOCs (Massive Open Online Courses), more importantly, the percentage of students who actively consume course materials from beginning to the end. The current study sought to investigate this trend by examining the factors that influence MOOC adoption and use by students in selected Ghanaian universities. The Unified Theory of Acceptance and Use of Technology (UTAUT) was extended to develop a research model. A survey was conducted with 270 questionnaires administered to students who had been assigned MOOCs; 204 questionnaires were retrieved for analysis. Findings of the study show that MOOC usage intention is influenced by computer self-efficacy, performance expectancy, and system quality. Results also showed that MOOC usage is influenced by facilitating conditions, instructional quality, and MOOC usage intention. Social influence and effort expectancy were found not to have a significant influence on MOOC usage intention. The authors conclude that universities must have structures and resources in place to promote the use of MOOCs by students. Computer skills training should also be part of the educational curriculum at all levels. MOOC designers must ensure that the MOOCs have good instructional quality by using the right pedagogical approaches and also ensure that the sites and learning materials are of good quality.</text>
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                <text>Factors affecting port users’ behavioral intentions to adopt financial technology (fintech) in ports in sub-saharan africa: A case of ports in Ghana</text>
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                <text>Ahmed Antwi-Boampong, David King Boison, Musah Osumanu Doumbia, Afia Nyarko Boakye, Linda Osei-Fosua, Kwame Owiredu Sarbeng</text>
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                <text>The study evaluated factors influencing port users’ intentions to participate in Financial Technology (Fintech) in the ports of Ghana. The study used non-experimental quantitative correlational design and the Extended Unified Theory of the Acceptance and Use of Technology (UTAUT2) as the theoretical foundation to assess whether performance expectancy (PE), behavioral intention (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 port users to participate in a Fintech program with age as a moderating factor. The sample comprised 407 individuals who work in the port industry and are between 18 and 64 years old; these were randomly selected through the SurveyMonkey platform. The study used principal component analysis (PCA), confirmatory factor analysis, and structural equation modeling to analyze and report the results. Findings show that PE, EE, and HT were predictors of the behavioral intention of port users to participate in a Fintech in the maritime and ports in Ghana. FC, SI, HM, and PV values could not predict BI for port users to enroll on a Fintech program. Neither did age have a moderating effect on the predictors variable influence on behavioral intention. This study offers a deeper insight into the adoption of Fintech in the port industry and sub-Saharan Africa. The findings can help researchers explain the variations in the UTAUT2 theoretical framework predictions relative to different sectors and disciplines. Researchers who intend to use the UTAUT2 theoretical framework to influence port users BI to enroll in the …</text>
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                <text>Factors Impeding the Effectiveness and Efficiency of Public Procurement Delivery:  A Case Study of the Ministry of Education.&#13;
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                <text>Over the years, strict adherence to public procurement processes has become a major challenge in public institutions rendering them ineffective and inefficient.&#13;
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The data collected was then analyzed using SPSS version 20 for the quantitative section and the qualitative data collected through in-depth interviews was analyzed using content analysis. The study documented that the correlation between independent variables comprising Political interference had a negative influence or outcome on all three (3) dependent variables (Fairness, Transparency &amp; Value for Money). Social factors on the other hand had a weak influence or outcome on the Fairness and Transparency variables but had a negative influence on the Value for Money variables. However, the other independent variables comprising Economic, Environmental factors &amp; Policy had positive influences and outcomes on the dependent variables in determining the levels of effectiveness and efficiency.&#13;
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Design/methodology/approach&#13;
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                <text>Factors Influencing Cyberloafing Behaviour among Employees.&#13;
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                <text>The research was mainly to investigate on factors influencing cyberloafing behavior. Basically, the researchers identified the factors influencing cyberloafing within some&#13;
Ghanaians organizations and critically analyse the impacts of cyberloafing behavior on both employee performance and organization. The researcher examined the determining factors and consequences of cyberloafing behavior, identified the factors at the origin of cyberloafing and then investigated on the controlling measures as a toll for management to eradicate to the phenomenon. The factors that can justify cyberloafing behavior vary from one place to the other. The main factors influencing cyberloafing were found as individual factors, organizational factors, and situational factors. Among the multitude of individual attitudes and behaviors in the workplace, personality traits seem to be the focusing area of many scholars to explain the behavior and might be used in this research as well.&#13;
The examination of individuals’ prexisting tendencies can provide the proof that the internet is misused. The research was based on one main source of data, quantitative research approach, thus, primary and secondary sources of data collection were used to help identify the result of the study. The primary data sources include collection of data from certain organization in Ghana. Data collection was through the use of questionnaires. Secondary data were obtained through supportive material and research works from text book, articles, report and other electronic sources as well as those from the University library and international journals available online which were a great support for this study. The data analysis were done through one sample t-test to assess cyberloafing prevalence and employee performance, while path coefficient analyses were used to assess factors influencing cyberloafing and its&#13;
impacts on employee performance. The result revealed that there is a relationship between cyberloafing and employee performance. Further studies also demonstrated that cyberloafing was having a great impact both on employee performance and organization.</text>
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                <text>FACTORS INFLUENCING EMPLOYEES'INTENTION TO PARTICIPATE IN A BRING YOUR OWN DEVICE IN THE PORT SUPPLY CHAIN NETWORK: A CORRELATIONAL STUDY USING UTAUT2 THEORETICAL</text>
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                <text>DAVID KING BOISON, AHMED2AUGUSTINE ANTWI-BOAMPONG, DOUMBIA BLAY, MUSAH OSUMANU4 ASIEDU ESTHER, KWAME OWIREDU SARBENG</text>
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                <text>The study aimed to assess the factors that influenced port users' willingness to participate in BYOD programs in Ghana's Maritime and Port sector. The extended Unified Theory of Acceptance and Use of Technology (UTAUT2) was used as the theoretical framework for the quasi-quantitative study. The study examined whether eight factors were predictors of the intention of Ghanaian employees to participate in a BYOD program, moderated by social influence. The study used principal component analysis (PCA) in SPSS and structural equation modeling in Stata to analyze and report the data. The results showed that only three factors, namely Performance Expectancy (PE), Effort Expectancy (EE), Facilitating Conditions (FC), and HT, significantly influenced employees' behavioral intention (BI) to participate in a BYOD program, while Social Influence (SI), Hedonic Motivation (HM), and Price Value (PV) had no effect on Behavioral Intention (BI). Age did not moderate the influence of any factor on BI. The study provides insights into the port supply chain network's usage of BYOD and will aid academics in explaining the discrepancies between the UTAUT2 theoretical framework's predictions for different industries and specialties. The study's findings will also be useful for researchers who aim to implement the UTAUT2 theoretical framework to understand employees' BI to join the BYOD program in any industry. From a practical perspective, the study will assist managers in the port business in Ghana and the sub-region in focusing on the important structures that constitute the initial steps to introducing BYOD in the port supply chain industry.</text>
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