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                <text>The functionalities of most Social Networking Sites allow users to enjoy practical benefits like maintaining important social and business rela-tionships, communicating with others, and getting feedback on important shared information. However, the place of SNSs as a source of entertainment and enjoyment is also well-documented. The purpose of the paper is to identify the factors that predict continuance use of social networking sites from the per-spective of mobile value. Data was collected from 452 students in three leading universities in Ghana and analyzed with Partial Least Square-Structural Equa-tion Modeling. Results from the study revealed that both hedonic value and utilitarian value were significant predictors of continuance intention. Satisfaction was also found to be a significant predictor of continuance intention. In all, the model accounted for 55.6% of the variance in continuance intention. The study also provides important contributions to the literature, by demonstrating the significance of both utilitarian and hedonic value in leading to satisfaction with the usage of mobile SNS services. The implications and limitations of the current study are discussed and directions for future research proposed.</text>
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                <text>Exploring users’ continuance intention towards a peer-to-peer accommodation sharing platform</text>
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                <text>Purpose&#13;
Focused on peer-to-peer accommodation sharing, this paper aims to investigate the effect of perceived value on the two dimensions of satisfaction (transaction- and experience-based) and continuance intention involved in using a platform featuring triadic relationships.&#13;
Design/methodology/approach&#13;
Survey data were collected from 392 Airbnb users and analysed using the partial least squares approach to structural equation modelling.&#13;
Findings&#13;
All dimensions of perceived value had a significant effect on transaction-based satisfaction. Symbolic value did not have a significant effect on satisfaction. Transaction- and experience-based satisfaction had a significant effect on continuance intention.&#13;
Research limitations/implications&#13;
The findings highlight the differential effects of dimensions of perceived value for understanding customer satisfaction and continuance intention in the peer-to-peer accommodation …</text>
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                <text>The functionalities of most Social Networking Sites allow users to enjoy practical benefits like maintaining important social and business relationships, communicating with others, and getting feedback on important shared information. However, the place of SNSs as a source of entertainment and enjoyment is also well-documented. The purpose of the paper is to identify the factors that predict continuance use of social networking sites from the perspective of mobile value. Data was collected from 452 students in three leading universities in Ghana and analyzed with Partial Least Square-Structural Equation Modeling. Results from the study revealed that both hedonic value and utilitarian value were significant predictors of continuance intention. Satisfaction was also found to be a significant predictor of continuance intention. In all, the model accounted for 55.6% of the variance in continuance intention. The …</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>Factors affecting MOOC usage by students in selected Ghanaian universities</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>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>MSc. Supply Chain Management</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;
  &#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;
The study therefore recommended that, this model be applied due to its capacity to measure and test the strengths of the objectives in determining the levels of effectiveness and efficiency.</text>
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