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                <text>Investigating Causes of Delay &amp; Cost Escalation in Strategic Project Execution:  Case Study of Ghana Grid Company Limited (GRIDCo)&#13;
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                <text> Dzigborfa Kwasi Edem</text>
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                <text>The purpose of this study was to investigate causes of delay and cost escalation in strategic project delivery. The energy sectors most specifically the Power Industry remain the backbone of all economies. These accounts for significant injection of capital in building the infrastructure that can help the sector live up to its established function. Executions of these infrastructures are done through strategic projects that continue to experience delays and cost overruns. Delivery of Power Transmission projects in Ghana are also not left without delays and cost escalations leading to many perceived effects on operations of the only power transmission company. What therefore was lacking is the availability of empirical studies to try and document the success or otherwise of public power projects specifically within the transmission phase of the power sector to meet project execution time and cost context. The study aimed at rectifying this gap. A case study design on Ghana Grid Company Limited (GRIDCo) investigated and identified 14 cause factors of project delay and cost overrun, verified effect of cause factors on operations of the organization and developed a cause effect mitigation model all through the use of a mixed method approach involving 40 participants of the organization who responded to both a close-ended and open-ended questionnaire. Hence the study believed that: capabilities of project managers and supervisors when enhanced and periodic assessment of project risk during project execution coupled with the use of modern computerized systems could help minimize or avoid project overruns.</text>
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                <text>Investigating Citizens’ Perspectives on Ghana’s Health Security Threat Preparedness.&#13;
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                <text>This research discusses Citizens’ perspectives on health security threats in Ghana. The main objectives were to examine Citizens’ perspectives on Ghana’s preparedness towards managing health security threats; analyse existing measures and/or countermeasures for the recognition of health security threats as an early warning detection system; ascertain at the institutional level, regulatory frameworks and collaborations that exists between public health institutions and national security agencies for managing health security threats from a citizenry perspective and propose a citizencentric National Health Security Preparedness and Response model to mitigate against health risks and threats.&#13;
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                <text>Emmanuel Kyei, Peter Appiahene, Mighty Abra Ayidzoe, Obed Appiah, Justice Asare, Emmanuel Freeman, William Brown-Acquaye</text>
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                <text>In recent years, Facial Emotional Recognition (FER) has garnered significant attention for its pivotal role across various applications, including human-computer interaction, healthcare, and sentiment analysis. This study is motivated by the need to enhance the accuracy and efficiency of FER systems, with a particular focus on leveraging Convolutional Neural Networks (CNNs) featuring dense architectures. Charles Darwin's groundbreaking work on facial expressions as indicators of human emotional states inspires this research, which aims to elevate FER systems for applications spanning therapy, human-machine interactions, and diverse domains like healthcare, education, and entertainment. While previous studies have recognized CNNs' ability to improve FER accuracy through intricate feature extraction, the evolving nature of the field calls for exploring novel CNN architectures and techniques to further enhance precision and efficiency. In this study, we develop and implement a deep learning model capable of classifying images into seven discrete emotion categories, representing universal human emotions. This objective is achieved by implementing a five-block CNN-based learning algorithm consisting of 44 layers designed to progressively capture complex facial features and expressive patterns. The CNN model performed well on FER and FERG datasets, with accuracy rates of 0.97 and 0.98, showcasing proficiency in facial expression classification. Comparative analysis highlighted its competitive accuracy, emphasizing the importance of feature extraction and architecture design. This research advances facial emotion recognition …</text>
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                <text>Investigating market orientation&#13;
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                <text>Purpose - Market orientation and positioning have been widely recognized as organizational metrics linked&#13;
to hotel performance. The purpose of this study is to offer the link among market orientation, positioning and&#13;
hotel performance in Ghana's (luxury) hotel sector. It also reports on the joint influence of market orientation&#13;
and positioning on hotel performance in the same sector.&#13;
Design/methodology/approach - Three hypotheses were investigated on the link between market&#13;
orientation and hotel performance, positioning and hotel performance, and the joint effect of market&#13;
orientation and positioning on hotel performance. A survey of star-rated (luxury) hotels in the capital city of&#13;
Ghana was used. One hundred and five responses were used in the analysis. Descriptive statistics,&#13;
exploratory factor analysis and hierarchical regression were used to test the three hypotheses.&#13;
Findings - All hypotheses were accepted. Market orientation and positioning jointly affect hotel&#13;
performance, and the study provides hotel managers with suggestions on how to enhance their performance&#13;
via market orientation and positioning.&#13;
Research limitations/implications - Management perspectives on market orientation, positioning&#13;
and hotel performance were sought to the exclusion of customers.&#13;
Originality/value - This study is one of the few attempts to systematically investigate the intertwined&#13;
concepts of market orientation, positioning and performance in a developing economy hospitality context.&#13;
Keywords Positioning, Ghana, Market orientation, Hotel performance, Star-rated hotels&#13;
Paper type Research paper&#13;
Robert Ebo Hinson, Ibn Ka</text>
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