THE INTERRELATIONSHIP AMONG THE COMPONENTS OF STUDENTS’ INTERNET INSIGHT AS AN ACADEMIC RESOURCE TOOL IN KENYAN UNIVERSITIES

Purpose: The aim of this paper was to determine the interrelationship among the components of students’ internet insight as an academic resource tool in universities based in Kenya. Methodology: The study was conducted in Moi University and Daystar University. The study was based on the Social learning theory by Bandura focusing on internet self-efficacy and supplemented by Technology acceptance model by Davies. Quantitative research approach was undertaken. An ex post facto research survey design was adopted. The researcher used a representative sample of 435 (Moi University) and 175 (Daystar University)adding up to 610 Third year student teachers of the academic year 2015/2016 drawn from School of Education in the two universities. Stratified sampling was used to categorize students by gender from each stratum; participants were chosen randomly. Questionnaires were used as instruments of data collection. Content validity was established by use of expert judgment in the school of education. Test re-test method was applied to check if the instruments that collected data were reliable. Descriptive and inferential statistics were applied to analyze data. In descriptive statistics data frequencies, percentages and mean was used. Analysis of variance (ANOVA), Chi square and Post hoc tests were used to test the hypotheses. Results: The findings indicated that more participants concurred with almost all accounts on internet knowledge, self-efficacy, perceived internet usefulness and perceived internet ease of use. Unique contribution to theory, practice and policy: The results of the paper are useful in designing educational programs in Kenyan institutions of higher learning and also, present a platform to close the gap of knowledge in digital divide field which is used later in technology acceptance studies.

Establishing the Influences of Cardinal Virtues on Employees’ Cyber Security Ethical Behavior in the Banking Sector in Uganda

Purpose: Cyber security threats emanating from employees’ incorrect behavior have escalated in the banking sector. Yet formal policies and technical solutions have failed to solve the problem. Virtue ethics may be a method that can handle this concern. This research aimed at enhancing Cyber security by confirming through statistical analysis the applicability of cardinal virtues related to cyber security ethical behavior. Methodology: The quantitative survey method utilizing an online questionnaire was used. Confirmatory factor analysis determined causal patterns in the variables and assessed them for validity and reliability. Partial Least Squares Structural Equation Modeling was then used to test casual relations between the study’s constructs. Findings: The results reveal that there is a positive but an insignificant effect of prudence Beta 0.094. p = 0.277 on cyber security ethical behavioral Intentions; there is a positive and significant influence of Temperance; Beta 0.255, p = .000; a positive and significant influence of courage; Beta 0.247, p = .001; on cyber security ethical behavior, that there is a positive and significant influence of Justice; Beta 0.452, p = .000; on cyber security ethical behavioral Intentions. The results further showed that a positive change in ethical behavior intentions leads to a positive change in cyber security ethical behavior. Unique contribution to theory and practice: This research makes a theoretical contribution to Cyber security ethics by promoting virtue ethics as a framework for moral investigations into Cyber security. Results can be utilized to improve methods, instruments, and tools to assess the employees’ cyber security ethical behavior. Policy makers can develop virtue ethical based training programs with dedicated, continuous learning and teaching undertakings geared towards monitoring and enhancing the overall ethical behavior towards cyber security in the banks. The results are a platform to the Government of Uganda through the Ministry of ICT in generating appropriate national policies related to Cyber security ethics as a strategy aimed at improving Cyber security in the banking sector.

AN ANALYSIS OF CRUCIAL SKILLS REQUIRED IN THE MODERN WORKPLACE BY INSURANCE SECTOR EMPLOYERS

Purpose: The insurance industry is one of the industries that have experienced the Fourth Industrialization Revolution due to the ever-changing technology which will greatly affect the future of labour market. As a result, most insurance companies are reinventing their business and organizational strategies in order to modernize their workplace as well as acquire employers and employees with skills that can adapt to the new changes in technology. The objective of this study was to analyze the crucial skills required in the modern workplace by insurance sector employers. The aim of this study was to help the readers understand the crucial skills required by employees in the modern workplace and their importance in the insurance sector. Methodology: A desktop literature review was used for this purpose. Relevant seminal references and journal articles for the study were identified using Google Scholar. The inclusion criteria entailed papers that were not over five years old. Findings: Most insurance sectors aim to remain efficient and competitive in the rapidly changing global market. The challenge that affects the competitiveness and productivity of insurance sector are closely linked with the lack of the crucial skills necessary in the modern workplace. It is evident that from this review, researchers have emphasized on acquiring of various crucial skills that adapt to the ever-evolving technology in the modern workplace and specifically in the insurance sector. Unique contribution to theory, practice and policy: The following are the recommendations were made: Insurance sectors should oftenly conduct training programs that will enable insurance providers gain essential skills that align with the evolving technology in this industry. Employers should not focus on gaining professional and technical skills only but also learn the soft skills that are essential when interacting with colleagues and customers. Insurance providers should document their work ethics to the public even if it’s through the online platform.

ASSESSMENT OF RADIATION DOSE RATE LEVELS AND RADIATION RISK AT THE COBALT -60 UNIT, KOMFO ANOKYE RADIOTHERAPY CENTER, GHANA.

Purpose: A study was conducted to estimate the Annual Effective Dose Equivalent (AEDE) and Excess Lifetime Cancer Risk (ELCR) caused by the presence of an artificial cobalt-60 radioactive source producing ionizing radiation levels within the radiotherapy facility at Komfo Anokye Teaching Hospital (KATH) in Ghana. This study validated the safety of cobalt-60 radioactive sources, as well as the notion of calculating the Annual Effective Dose Equivalent (AEDE) and Excess Lifetime Cancer Risk (ELCR), which contributed to reducing occupational and public exposures inside the facility. Methodology: The investigation was carried out with the use of a portable OD-01 Ionization Chamber Survey Meter. The absorbed dose rate (ADR) in air was changed between 5 m and 40 m, with measurements taken inside and around the cobalt 60 bunker, as well as at sixteen other sites within the radiation facility. Findings: From 5 m to 40 m surrounding the Cobalt-60 source, the estimated Absorbed Dose Rate in air inside the cobalt-60 bunker ranged from 0.299 0.001 to 0.977 0.005 Sv/h, with an average of 0.498 0.005 Sv/h. The estimated Annual effective dose equivalent varied from 1.100 mSv/yr to 3.595 mSv/yr around the cobalt-60 source inside the Co-60 bunker. Radiation exposure levels ranged from 0.268 0.008 Sv/h to 0.678 0.005 Sv/h, with an average of 0.440 0.004 Sv/h observed around the fifteen sites chosen. Excess Lifetime Cancer has values ranging from 3.85 10-3 to 12.58 10-3 and 3.45 10-3 to 8.73 10-3. Risks were evaluated for the cobalt and the sixteen places inside the plant. The absorbed dose values at 5 m, 10 m, and 15 m inside the Co-60 bunker and the location Co-60 bunker as part of the facility exceeded the ICRP-recommended limit of 0.57. The AEDE and ELCR levels were within the ICRP's acceptable limits. The AEDE and ELCR statistics acquired indicate that the Cobalt-60 unit and its surroundings are radiation safe, although the likelihood of employees contracting cancer from the absorbed dose and background ionizing radiation is significant over a lifetime. Recommendation: However, it is recommended that absorbed dose level monitoring and evaluation of the Radiation Therapy Technologist (RTT) and other workers surrounding the unit be monitored on a regular basis. It is also recommended that Occupational Staff, such as RTTs, spend as little time as possible in the bunker

ICT: Breaking Barriers to Contraceptives Information and Usage among Adolescents in the Sunyani East Municipality, Brong Ahafo Region, Ghana

Introduction: Information Communication Technology (ICT) is the use of computers, mobile phones and internet to access, process, receive, send, and use various kinds of data and information. With the expansion of mobile phone users and availability of internet services, teenagers are now using ICT to create awareness and use contraceptives, an area considered to be the preserved of married couple. Purpose: The paper examines how the application of ICT by teenagers broken traditional and religious barriers to accessing and utilizing contraceptive information in the Sunyani East Municipality. Methodology: The research design was a mixed method combining qualitative and quantitative approaches. The target population was teenagers between the ages of 11 and 19 years in Senior High and Junior High Schools. Out of 87 schools, 16 schools were randomly selected using simple random sampling technique. The total sample size was 212 teenagers. Data was collected from the respondents, using interviews, questionnaires and focus group discussions. The paper found that ICT is a major means of accessing, sharing and using information about contraceptives by the teenagers, information is hard to access because of societal perceptions, sociocultural and psycho-religious barriers. Findings: The paper found that ICT has impact on their perceptions, utilization or otherwise, because they now the effects of various kinds of contraceptives. Recommendation: The paper recommends that teenagers should be given proper ICT education to enable them use credible websites on the internet to get contraceptive information. Education should be intensified through the mass media, free lectures, radio and television discussions to augment the use of ICT to expand the number of teenagers using contraceptive.

Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies, a Case of USA

The report gives a presents use of artificial intelligence in few administrative agencies. In-depth thematic analysis of some institution, have been conducted to review the current trends. In thematic analysis, 12 institutions have been selected and described the details of the institutions using artificial intelligence in different departments. These analyses yielded five major findings. First, the government has a wide application of Artificial Intelligence toolkit traversing the federal administrative and state. Almost half of the federal agencies evaluated (45%) has used AI and associated machine learning (ML) tools. Also, AI tools are already enhancing agency strategies in the full span of governance responsibilities, such as keeping regulatory assignments bordering on market efficiency, safety in workplace, health care, and protection of the environmental, protecting the privileges and benefits of the government ranging from intellectual properties to disability, accessing, verifying and analyzing all risks to public safety and health, Extracting essential data from the data stream of government including complaints by consumer and the communicating with citizens on their rights, welfare, asylum seeking and business ownership. AI toolkit owned by government span the complete scope of Artificial Intelligence techniques, ranging from conventional machine learning to deep learning including natural language and image data. Irrespective of huge acceptance of AI, much still has to be done in this area by the government. Recommendations also discussed at the end.

How Will Information Services of Social Media Portals Change in the Future When Artificial Intelligence is implemented?

Innovation is surpassing our desires. Different AI-based instruments are created and help advertisers focus on perfect clients via web-based media at the ideal time. Purpose: the purpose of the study is to link the Information Services of Social Media Portals Change in the Future When Artificial Intelligence is implemented. Methodology: Surveys and qualitative methodologies were utilized to build up the theoretical perspective on A.I.'s effects on advancement across various foundations and social areas on the planet's economies. All the users of face book were population for the current study. Convenient sampling was the technique to access the sample. Focus groups and academic centres, and governmental institutions were likewise fused in acquiring valuable data on the effects of being knowledgeable about all the fields of advancement through A.I. innovations on social media. Findings: Most interviewees reacted emphatically about using technologically advanced tools and disseminating information in modern applications on social media. Advancement in A.I. innovations in the social media services expanded creation periods in the viral news than anticipated from a man if they needed to access vital information at every interval without an aspect of delay. Contribution: The future will be A.I. empowered and less miss-information. Tis paper do not generally know how soon or in what ways these dreams of the AI-empowered future will turn into a reality, yet even the most easygoing of eyewitnesses can see that these are unavoidable patterns. The one sure thing is that it is coming, and this paper now travelling toward that path.

Artificial Intelligence in Business Simulation Analysis

Purpose: Research on business simulation and machine learning has attracted immense interest in the last few years. The aim of this study was to provide a comprehensive view of machine learning in business simulation. To review the use of artificial intelligence in business simulation analysis. A review of the literature, however, shows little systematic reviews on the application of machine learning techniques to business simulation, yet systematic reviews have gained prominence in the academic jargon. Methodology: Thus, this study does reviews systematically a total of 123 shortlisted articles that focus on the machine learning techniques in the business simulation process. Findings: There are immense algorithms of machine learning which can be used in a business simulation, although this study was able to review ten machine learning algorithms in the business simulation process. As a whole, the machine learning algorithms have been deployed to yield lead-time production in the industry. In inventory and storage, machine learning has been applied to improve efficiency in identifying inventory patterns that would have never been revealed and thus saves on costs. Future direction also discussed.

Use of Machine Learning in Stock Market Prediction

Objective: The objective of this study was to examine and determine future directions in regard to future machine learning techniques based on the review of the current literature. Methodology: A systematic review has been used to review the current trends from the peer-reviewed journal articles in the past twenty years. For this study, four categories have been categorized, the use of neural networks, support vector machines, the use of a genetic algorithm, and the combination of hybrid techniques. Studies in each of these categorize have been evaluated. Finding: Firstly, there is a strong link between machine learning methods and the prediction problems they are associated with. The second conclusion that we can conclude from this review is that past studies need to improve its generalizability results. Most of the studies that have been reviewed in this analysis has only used the machine learning systems through the use of one market or during only a one time period without taking into consideration whether the system would be adaptable in other situations and conditions. Limitations, future trends, as well as policy implications have been defined.

Role and Key Applications of Artificial Intelligence & Machine Learning in Transportation

Purpose: The main target of this paper was to examine the significance of Artificial Intelligence and Machine Learning and their effect on the transportation business. Methodology: This hypothesis was a survey of the significant machine learning calculations and their applications in the field of big data. This paper try to attempt to exhibit the need to remove significant data from the huge measure of enormous information as traffic data available in this day and age and recorded diverse machine learning strategies that can be utilized to separate this information needed to encourage better dynamic for transportation applications. Findings: This paper present an investigation of the different Artificial Intelligence (AI) methods that have been actualized to improve Intelligent Transportation Systems (ITS). Specifically, this paper assembled them into three main territories relying upon the main field where they were applied: Vehicle control, Traffic control and prediction, and Road security and accident prediction. The aftereffects of this examination uncover that the mix of various AI methodologies is by all accounts promising, particularly to oversee and investigate the huge measure of data created in transportation