https://ajpojournals.org/journals/index.php/AJCE <p>American Journal of Computing and Engineering (AJCE) is an open access journal hosted by AJPO Journals USA LLC. The journal is published both online and printed version it focuses on Engineering, Management science and Mathematics. The journal covers research works on next generation cutting edge technologies and effective marketing strategies. The journal publication is cheap and fast and is indexed in Google scholar. The journal review is double blind which guarantees high impact peer review and refereed research publications. The journal is one of the best in the field of engineering and Mathematics. The peer review process is speedy to ensure that the authors do not miss the issue they wished for. The journal aims at improving knowledge in Engineering and Mathematics fields and appeals to broad readership of various branches of engineering science, Mathematics and related fields. The journal seeks clearly written survey and review articles from experts in the field, to promote intuitive understanding of the state-of-the-art and application trends. Its indexed in google scholar, Crossref (DOI), Ebscohost, Research Gate among others.</p> AJPO Journals Limited en-US American Journal of Computing and Engineering 2790-5586 <p>Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution (CC-BY) 4.0 License</a> that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.</p> https://ajpojournals.org/journals/index.php/AJCE/article/view/1908 <p><strong>Purpose:</strong> The aim of the study was to assess the impact of artificial intelligence integration on manufacturing efficiency in Algeria.</p> <p><strong>Methodology:</strong> This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.</p> <p><strong>Findings:</strong> The study revealed a strong correlation was observed between the level of parental engagement in a child's reading activities and their reading proficiency. Children whose parents actively participated in reading-related tasks, such as reading together, discussing stories, and providing access to books, demonstrated higher levels of reading skills compared to those with less involved parents. Furthermore, the study highlighted the importance of parental attitudes towards reading, with children of parents who expressed positive attitudes towards literacy exhibiting greater enthusiasm and motivation for reading. Additionally, the quality of parent-child interactions during reading sessions emerged as a crucial factor, emphasizing the significance of fostering supportive and stimulating reading environments at home.</p> <p><strong>Implications to Theory, Practice and Policy: </strong>Theory of technological determinism, resource-based view theory and complexity theory may be used to anchor future studies on assessing the impact of artificial intelligence integration on manufacturing efficiency in Algeria. Manufacturing firms should invest in talent development initiatives to enhance the AI capabilities of their workforce. Policymakers should promote data sharing and interoperability standards to facilitate seamless integration of AI technologies across manufacturing ecosystems.</p> Said Rahman Copyright (c) 2024 Said Rahman http://creativecommons.org/licenses/by/4.0 2024-04-07 2024-04-07 7 2 39 51 10.47672/ajce.1908 https://ajpojournals.org/journals/index.php/AJCE/article/view/1906 <p><strong>Purpose:</strong> The aim of the study was to assess the influence of cybersecurity training programs on employee behavior in corporate environments in Kenya.</p> <p><strong>Methodology:</strong> This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.</p> <p><strong>Findings:</strong> The research demonstrated that comprehensive training initiatives positively impacted employees' cybersecurity awareness and adherence to best practices. These programs not only increased knowledge of potential threats but also instilled a sense of responsibility among employees regarding their role in safeguarding sensitive information. Moreover, the study highlighted the importance of continuous reinforcement and practical application of learned skills in real-world scenarios to ensure long-term behavioral changes. Additionally, the effectiveness of training was found to be contingent upon the program's relevance, engagement strategies, and integration with organizational policies. Overall, the findings underscored the critical role of cybersecurity training in mitigating risks and fostering a culture of security within corporate settings.</p> <p><strong>Implications to Theory, Practice and Policy:</strong>&nbsp; Social learning theory, protection motivation theory and cognitive dissonance theory may be used to anchor future studies on assessing the influence of cybersecurity training programs on employee behavior in corporate environments in Kenya. Develop personalized training modules tailored to individual roles and risk profiles within the organization. Advocate for regulatory mandates requiring organizations to implement regular cybersecurity training programs for employees.</p> John Ropem Copyright (c) 2024 John Ropem http://creativecommons.org/licenses/by/4.0 2024-04-07 2024-04-07 7 2 14 26 10.47672/ajce.1906 https://ajpojournals.org/journals/index.php/AJCE/article/view/1909 <p><strong>Purpose:</strong> The aim of the study was to assess the relationship between social media usage and mental health among adolescents in the United States.</p> <p><strong>Methodology:</strong> This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.</p> <p><strong>Findings:</strong> This study suggest a correlation between excessive social media use and negative mental health outcomes such as depression, anxiety, and low self-esteem, others propose a more complex relationship influenced by various factors. Factors such as the type and frequency of social media use, individual characteristics, and the quality of online interactions play crucial roles. Moderate use of social media for positive interactions and support can be beneficial, fostering a sense of connection and belonging. However, excessive use, especially when it involves passive consumption or comparison with others, may contribute to feelings of inadequacy and isolation. Additionally, cyberbullying and exposure to unrealistic standards may exacerbate mental health issues.</p> <p><strong>Implications to Theory, Practice and Policy:</strong>&nbsp; Social comparison theory, uses and gratifications theory and self-determination theory may be used to anchor future studies on assessing the relationship between social media usage and mental health among adolescents in the United States. Educational initiatives should be developed to promote digital literacy skills among adolescents, parents, and educators. Policymakers should work with social media companies to develop guidelines and regulations aimed at promoting responsible platform design and content moderation</p> William White Copyright (c) 2024 William White http://creativecommons.org/licenses/by/4.0 2024-04-07 2024-04-07 7 2 52 64 10.47672/ajce.1909 https://ajpojournals.org/journals/index.php/AJCE/article/view/1907 <p><strong>Purpose:</strong> The aim of the study was to assess the impact of wearable health technologies on physical activity levels in sedentary individuals in Egypt.</p> <p><strong>Methodology:</strong> This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.</p> <p><strong>Findings:</strong> the study found that the utilization of wearable health technologies, such as fitness trackers and smartwatches, led to a significant increase in physical activity levels. The participants who incorporated these devices into their daily routines showed a marked improvement in their overall activity levels compared to those who did not. Additionally, the study noted that the real-time feedback and goal-setting features of these technologies played a crucial role in motivating individuals to engage in more physical activity.</p> <p><strong>Implications to Theory, Practice and Policy:</strong>&nbsp; Social cognitive theory, theory of planned behavior and self-determination theory may be used to anchor future studies on assessing the impact of wearable health technologies on physical activity levels in sedentary individuals in Egypt. In terms of practical implications, researchers should prioritize the development and evaluation of evidence-based interventions that leverage wearable health technologies to promote physical activity among sedentary individuals. From a policy perspective, research findings can inform the development of public health initiatives and guidelines aimed at addressing sedentary behavior and promoting physical activity at the population level.</p> Yousef Sammy Copyright (c) 2024 Yousef Sammy http://creativecommons.org/licenses/by/4.0 2024-04-07 2024-04-07 7 2 27 38 10.47672/ajce.1907 https://ajpojournals.org/journals/index.php/AJCE/article/view/1905 <p><strong>Purpose:</strong> The aim of the study was to assess the effect of green computing initiatives on energy consumption in data centers in Nigeria.</p> <p><strong>Methodology:</strong> This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.</p> <p><strong>Findings:</strong> The study found out that implementing green computing initiatives, such as virtualization, server consolidation, and energy-efficient hardware, resulted in significant reductions in energy consumption. Virtualization, in particular, was noted to be highly effective in optimizing server utilization and reducing the number of physical servers needed, thereby lowering overall energy demands. Additionally, the adoption of energy-efficient hardware components, such as processors and cooling systems, played a crucial role in mitigating energy consumption. Overall, the findings suggest that implementing green computing initiatives can lead to substantial energy savings in data centers, aligning with sustainability goals and reducing environmental impact.</p> <p><strong>Implications to Theory, Practice and Policy:</strong>&nbsp; Resource dependency theory, institutional theory and complexity theory may be used to anchor future studies on assessing the effect of green computing initiatives on energy consumption in data centers in Nigeria. Collaborate with industry stakeholders to develop comprehensive guidelines for implementing green computing initiatives in data centers. Advocate for the implementation of regulatory incentives to encourage data center operators to invest in green computing initiatives.</p> Dr. Nnamdi Oson Copyright (c) 2024 Dr. Nnamdi Oson http://creativecommons.org/licenses/by/4.0 2024-04-07 2024-04-07 7 2 1 13 10.47672/ajce.1905