American Academic & Scholarly Research Center: AASRC Journal Systems
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Tourism in Jordan's Economy: Growth, Challenges, and Future Prospects
Get PDFThis study explores the multifaceted impact of tourism on Jordan's economy, focusing on growth, challenges, and future prospects, with insights drawn from a sample of 260 stakeholders, including tourists, local residents, business owners, and government employees. By examining the economic contributions, demographic factors, perceived challenges, and regional benefits, the research highlights tourism's significance in sectors such as employment, infrastructure, and local business growth. Additionally, it addresses major obstacles, including regional instability, environmental concerns, and marketing limitations. The findings underscore the importance of sustainable practices, government involvement, and targeted investments to enhance tourism's positive impact on Jordan's economy. The study concludes by recommending strategic focus areas for Jordan to boost tourism sustainably while balancing economic, cultural, and environmental considerations.https://doi.org/10.24897/acn.64.68.20251224001
Patterns and determinants of Neighborhoods Quality of informal Communities in Metropolitan Lagos using Statistical Techniques
Get PDFMetropolitan Lagos in Nigeria is renowned for its numerous informal communities, characterized by a lack of official recognition and residents' land ownership rights, leading to substandard housing and inadequate neighborhood services. These areas, though often contested by migrants and indigenous populations, are integral to the city. Despite previous studies focusing on formal city conditions, informal communities in Lagos remain underexplored. This study aimed to describe the socio-demographic characteristics, housing quality, and neighborhood conditions of these communities. Primary data from 1,600 respondents across fifteen informal communities were collected through structured questionnaires. Analysis included descriptive statistics, factor analysis, ANOVA, generalized linear regression, and spatial autocorrelation techniques. Findings revealed one-room apartments with wooden features as predominant housing types. Principal component analysis summarized 21 residential quality indicators into eight components, with low residential and neighborhood quality but high locational quality indexes. ANOVA indicated significant variations in quality indexes across communities, while spatial autocorrelation analysis showed no significant clustering. Regression analysis highlighted the influence of gender, ethnicity, income, occupation, and homeownership on residential and neighborhood quality. The study concluded by advocating for improved dwellings, increased public services, and collaborative efforts for the renewal of Lagos' informal communities. DOI: https://doi.org/10.24897/acn.64.68.20253001
LITERATURE REVIEW FROM 2001 TO 2023: KNOWLEDGE MANAGEMENT AND E-GOVERNMENT
Get PDFThe use and management of knowledge in the context of e-government can unveil new prospects for improving governmental services and increasing citizen participation in the decision-making process. Knowledge management technologies, data analysis, and artificial intelligence applications can contribute to better directing government policies and analyzing community needs. Additionally, knowledge and its electronic applications can play a pivotal role in achieving the objectives of e-government by facilitating the collection, organization, examination, and dissemination of knowledge within the e-government context, thereby enabling the identification of potential avenues for improvement and development through modern technology. A review of the literature on this subject and an examination of previous studies, whether in Arabic or English, confirm the importance of technological infrastructure in governmental organizations, which is crucial for the successful role of knowledge management in e-government and its development in line with the strategic plans of governmental agencies. Furthermore, the establishment of mechanisms and legislation that contribute to the governance of knowledge management within e-government is essential.https://doi.org/10.24897/acn.64.68.20251224002
The Role of Organizational Culture in Enhancing Knowledge Sharing Among Faculty Members at the College of Business, University of Jeddah
Get PDFThis study aims to evaluate the role of organizational culture in enhancing knowledge sharing among faculty members at the College of Business, University of Jeddah. A questionnaire was used as the study tool, distributed to a random sample of 68 faculty members at the College of Business. The data was processed using SPSS software. The study concluded with several key findings: there is a strong positive relationship between organisational culture and knowledge sharing within the college. The college provides the necessary infrastructure for knowledge sharing activities, such as programs and modern communication tools, and the administration encourages faculty members and staff to share knowledge among themselves. The study also found no statistically significant differences in faculty members’ attitudes towards the role of organisational culture in enhancing knowledge sharing based on academic rank. At the same time, there were significant differences based on age and years of experience
AI, GIG Economy and Unemployment Foresight: A glance on the Global Economy
Get PDFThe study examines the relationship between the Gig economy and AI that has highlighted their impact on the global labor market, with the Gig economy providing short-term jobs and AI revolutionizing industries. The Gig economy drive by technology and changing work patterns, offers flexibility but also presents challenges like job insecurity and income inconsistency that has been highlighted from human capital theory and social network theory. The Gig economy significantly contributed to global GDP, with projections for further growth however, AI’s economic implications are vast, but challenges include job displacement. The interplay among Gig economy and AI us dynamic with AI automating tasks for Gog workers and platforms in using data for improved efficiency. The study has used secondary quantitative research methodology in giving a comprehensive analysis drawing on recent statistics. The study has examined the impact of Gig workers on the global labor market, that has highlighted the potentials job losses and gains. Further, its emphasis the need for policy interventions to ensure fair compensation, social protection, and skills development, promoting transparency and safeguarding against discrimination
The Impact of Knowledge Management on Developing the Skills of Employees at the Human Capabilities Development Center at King Abdulaziz University: A Case Study
Get PDFThis study aims to explore the impact of knowledge management practices on developing employees' skills at the Human Capabilities Development Center at King Abdulaziz University and to identify the main challenges hindering this impact. The importance of the study stems from its role in enriching the literature on the relationship between knowledge management and human resource development in the context of university training centers, as well as its analysis of challenges and its presentation of practical recommendations for improving knowledge management practices at the center. The descriptive analytical approach was used, and a questionnaire consisting of 12 items distributed over 3 main axes was adopted. The center's employees participated in the study by answering the questionnaire, which showed the results, which is the positive impact of knowledge management practices in developing employees' skills, such as improving their problem-solving abilities and applying acquired knowledge. However, it revealed technical and cultural challenges that hinder the effective application of knowledge management, such as the need to develop technical infrastructure and promote a culture of knowledge sharing. The study provided recommendations to address these challenges, including providing continuous training, developing technical systems, and encouraging a culture of continuous learning, to improve the efficiency of knowledge management and enhance its effectiveness in developing employees' skills at the center.https://doi.org/10.24897/acn.64.68.20251224001
USING ARTIFICIAL INTELLIGENCE FOR FORMATTING ACADEMIC JOURNAL PAPERS
Get PDFThis paper investigates the challenges researchers face in formatting academic papers, focusing on the importance of proper formatting for clarity, credibility, and reader engagement. While researchers recognize the significance of well-formatted work, they often struggle with the complexities of adhering to diverse journal and conference guidelines. This challenge is exacerbated by the time constraints and the lack of specialized formatting expertise among researchers. This paper explores the potential of Artificial Intelligence (AI) to revolutionize the academic paper formatting process. AI-powered tools can automate many aspects of formatting, including: Adapting to varying formatting requirements: AI can analyze and apply the specific guidelines of different journals and conferences, ensuring consistency and reducing manual effort. Optimizing font choices: AI can select appropriate fonts based on readability, visual appeal, and audience, enhancing the overall presentation. Automating margin and spacing adjustments: AI can ensure consistent margins, line spacing, and indentation, improving document clarity and professional appearance. Assisting with table and figure placement: AI can analyze the document and suggest optimal positions for tables and figures, enhancing visual flow and reader comprehension. By automating these tasks, AI can significantly improve the efficiency and accuracy of the formatting process, allowing researchers to focus on their research and enhance the overall quality and impact of their publications
Developing a model that helps build a smart admission system for Postgraduate studies at King Abdulaziz University
Get PDFThis study aims to identify the role of artificial intelligence applications in developing the admission system for the Deanship of Graduate Studies, and to arrive at a model that helps build a smart admission system for graduate studies at King Abdulaziz University. This study was applied to a purposive sample of employees of the Deanship of Graduate Studies at King Abdulaziz University (Admissions Unit) and specialists in the Information Technology Department at the university for the year 2023, using the documentary method, the descriptive survey method and the focus group, and using the questionnaire and personal interview as tools for the study. The study reached several results, the most important of which are: The quantitative study confirmed the importance of artificial intelligence applications in contributing to the development of electronic acceptance of applicants for postgraduate studies at King Abdulaziz University. Artificial intelligence applications can provide decision-makers with the developments taking place in the admission system. The proposed program provides a solution to the problem of the increasing demand of students for some specializations and not others due to their belief. The market needs it and its ability to develop their scientific skills and easily and quickly graduate from it.https://doi.org/10.24897/acn.64.68.20251224001
Quality Control is a Crucial Necessity for Any Successful Project: A Descriptive and Analytical Study Using SWOT
Get PDFQuality control is an essential part of project management. It is a process that aims to ensure that the project's quality requirements are met. Quality control involves identifying and implementing the necessary procedures to prevent or reduce the occurrence of errors and defects, and to ensure that the project is delivered according to the required standards. This study aimed to identify the concept of quality control in project management by shedding light on the importance of quality management, its processes, and quality control as a main process and a necessity for successful projects. The study used the descriptive and analytical method, which is based on referring to literature from research, articles, books, and so on. It was studied and analyzed to extract the results and implications related to answering the research questions. The SWOT Analysis method was used to analyze five of the most recent previous studies related to the topic of the study. The study concluded with a set of results, the most important of which is that quality control has a positive impact on the success of projects in various fields, including construction, healthcare, and manufacturing. Quality control can help reduce associated costs, improve the quality of products and services provided, and increase customer satisfaction. The study recommended the need to enhance awareness of the importance of quality control as a main process within quality management among project stakeholders. The need to invest in training and development in the field of quality management, and the need to conduct more research to better understand how to apply quality management effectively in different types of projects
Impact of Artificial Intelligence on Knowledge Management: An investigation on the Public Sector in Saudi Arabia
Get PDFIn an era where knowledge has become a key component of government operations, artificial intelligence represents a powerful tool for the public sector. When implemented strategically and ethically, artificial intelligence can help the public sector deliver more efficient, responsive and citizen-focused services, contributing to overall well-being and prosperity. Accordingly, this paper empirically investigates the impact of artificial intelligence on knowledge management. The paper took employees in the Saudi public sector, especially the ministries, as a population to implement the investigation. A convenience sample was obtained through a cross-sectional design consisting of 226 respondents constituting a response percentage of 73.5%. Structural equation modeling, an analytical approach, was used to test hypotheses and extract validity and reliability indicators. The paper concluded that the dimensions of artificial intelligence had a positive impact on knowledge management, except machine learning, which did not affect knowledge management in the Saudi public sector. As a result, the paper recommended the need to develop a comprehensive AI strategy that aligns with the goals and priorities of the public sector in Saudi Arabia and ensures that AI initiatives are integrated into the broader knowledge management strategy