Al-Kindi Center for Research and Development (KCRD) (E-Journals)
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Impression of Social Media Influencers towards Customers of Locally Manufactured Cosmetic Beauty Products
No full textThe integration of social media and influencer marketing has significantly transformed the strategies employed by beauty cosmetic businesses in brand communication, reputation management, and consumer engagement. This abstract discussion explores four key themes derived from research: collaboration tools, fostering brand loyalty, enhancing brand reputation, and relatability with social engagement. The qualitative research utilized narratology and purposive sampling involving twelve experienced social media influencers who play a transformative role in empowering companies and sustaining sales, aiding locally manufactured beauty cosmetics companies in promoting their operations, and redefining their branding strategies through an in-depth understanding of the impact of online platforms and influencer partnerships on consumer behavior. Social media influencers serve as essential collaboration tools for beauty cosmetic brands, leveraging their influence and credibility to expand market reach. Forming strategic alliances with influencers who share the same values as our brand and appeal to our target audience allows us to amplify our brand\u27s presence, heighten product recognition, and expedite sales expansion through the creation of authentic content and endorsements. As a result, collaboration with reputable influencers significantly enhances a beauty cosmetic brand\u27s reputation. The devoted and active followers of influencers rely on their endorsements, which lend credibility to endorsed products, attracting fresh customers while also retaining existing ones through positive associations and perceived high quality. Reshaping brand strategies and consumer relationships within the beauty cosmetic industry. Through strategic collaborations and authentic engagement, influencers contribute significantly to sustainable sales growth, enhanced brand reputation, and long-term customer loyalty in today\u27s dynamic digital landscape
Franchisee-Franchisor Relationship in Saudi Arabia: Agency Theory Perspective
No full textThe research investigates franchisee-franchisor relationships in Saudi Arabia using agency theory to analyze agency problems and control perceptions while exploring trust and franchisee satisfaction and conflicts. A survey with 105 franchisees across different industries received analysis through IBM SPSS using frequency distribution alongside Chi-Square tests. The findings reveal significant concerns regarding operational control, trust in franchisors, and information transparency. Yet, no statistically significant relationships were found between trust and satisfaction, power and conflict, or goal alignment and satisfaction. The study findings imply that standard agency issues do not drive franchisee experiences as much as financial security combined with operational backing and legal protective measures. The authors advise franchisors to provide for their franchisees. The government needs to enhance regulatory standards for franchises together with dispute settlement systems to promote equitable contractual obligations. Further investigation using qualitative research methods and studies focusing on specific industries will comprull disclosure, adjustable financial frameworks, and independent marketing and operational capabilities fehensively comprehend Saudi Arabia’s evolving franchising market
Liability of Business Actors for Environmental Pollution Related to Disposal of Waste Produced by Cattle Farms in Indonesia
No full textThe fulfilment of human needs cannot be separated from the contribution of the cattle farming sector. In addition to the benefits of cattle farming, this business also has adverse impacts on the environment in terms of environmental pollution and global warming due to the solid, liquid, and gas waste. However, it can be minimized through the proper processing and disposal of cattle farm waste in accordance with applicable regulations in Indonesia, including Law number 32 of 2009 on Environmental Protection and Management (UUPPLH) and other regulations. This research aims to study the implementation of UUPPLH and the liability of cattle farming business actors who do not heed the regulations, leading to environmental pollution. This research used a normative research method with secondary data in the form of literature study and supported by primary data obtained from interview. The results of this research showed that the applicable regulations were in accordance with Gustav Radbruch\u27s theory of legal objectives. Business actors were responsible for the pollution due to improper processing of cattle farm waste. The liabilities consisted of administrative, civil, and criminal liabilities. For civil liability, it was based on the Unlawful Acts (PMH) and the strict liability was determined in article 88 of UUPPLH. Therefore, business actors need to have self-awareness to carry out waste processing in accordance with regulations. Meanwhile, the government should take firm action against cattle farms that are intentionally or negligent in waste treatment and they need to conduct regular supervision in order to create a clean and healthy environment
Automated Financial Reporting and Enhancement of Efficiency of Accounts
No full textThe incorporation of automation elements in the preparation of financial statements has greatly affected the accounting profession in The considerations towards efficiency, accuracy as well as decision making impacts in the accounting profession. The following research paper looks at how efficient automation has become in improving accounting efficiency, and the set Industrial Robotics and Automation Dataset is used to analyse automation trends and productivity as well as its effects on accounting. This is because different industries have implemented automation to different degrees with industries like manufacturing, healthcare and logistics in a position to provide some insights into the impact of automation on financial processes. Some of the areas where the study points out that automation contributes to the reporting processes include omitting errors that are occasioned by people, increase in accuracy of the results as well as real time reports. It also lays down automation’s impact on organizational productivity with a focus on the number of reporting cycles and strategic planning. There are some issues that organizations face when implementing the automation one of them being adaptation of the employees, other issues include; security of the data and then the issue of compliance. This paper highlights and supports, by drawing on the data trends and reviews of industries the potential when automation is treated as key, of turning financial reporting into a more effective practice. It also contains suggestions of measures for managing risks linked to workforce changeovers as well as legislative compliance. This paper contributes to existing literature on the effects of automation on accounting professions and provides a guideline to positive adoption of automation in an era where accounting services are rapidly being automated
Agricultural Risk Management and its Impact on Agricultural Companies’ Revenues: Field Study on the Agricultural Sector - Blue Nile region
No full textThis study aims to clarify three points, among which are: the agricultural risk management mechanisms that affect the income of agricultural companies, statement of risk management policies that have an impact on the revenues of agricultural companies, explaining how the risks facing agricultural companies in the Blue Nile region are managed and their impact on their revenues. To achieve these goals, the two researchers prepared a questionnaire conducted to a sample of employees and managers working in a number of agricultural companies operating in the Blue Nile Region. The number of the sample to which the questionnaire was distributed to (30 volunteers). After conducting the field study, they came out with the tow hypotheses of the study, in addition to a number of results, the most important of which is that enhancing preparedness and response methods to address agricultural risks to improve the revenues of agricultural companies. First, mapping the risks to which agricultural companies may be exposed to reduce the degree of risk, and the possibility of confronting them if they occur, and gives greater focus to the risks and areas with the highest degree of risk, and companies can be evaluated for their financial and technical ability to confront the risks to which they are exposed. It contributes to raising its response to risk prevention systems and the ability to identify strengths and weaknesses that enable it to overcome these risks when exposed to them. The agricultural sector represents great importance in Sudan in general and in the Blue Nile region in particular, as a large segment of society works in it and finally represents revenues. Agriculture in Sudan is an important activity in the economics of public income, and its importance stems from the fact that it contributes to food security, job opportunities, exports, and the preservation of biodiversity. The two researchers recommend that government agencies specialized in the agricultural sector in the Blue Nile region must work to form an agricultural risk prevention fund because of its significant impact in reducing agricultural risks to which companies operating in this sector may be exposed, in addition to farmers, and on government institutions operating in the agricultural sector. In the Blue Nile Region, governmental institutions working in the agricultural sector to create awareness and guidance bulletins for companies and farmers about the various agricultural risks in the region. The two researchers also recommend the necessity of activating agricultural unions and organizations and urging companies and farmers to join them to help them ward off the risks to which they may be exposed
Dream Big, Budget Smarter: Navigating Finances in Your Dream Career
No full textMany dream career paths involve unconventional roles or industries with lower initial entrance fees and thus necessitate that the person who chooses the dream drives a financial and otherwise sacrifice to its accomplishment. This paper reflects on how to keep finances stable when there is a career transition; budgeting, diversifying income, and cutting expenses stand out as a few strategies in this paper. With the right approach, practical financial strategies can help people manage income volatility, significant upfront investments, and low salaries often standard to the dream career. The paper also discusses using tapped financial resources like government affordability programs and expert networks to relinquish strain. It further presents the need to build a supportive community that is informed emotionally and practically. Individuals can also do what they love and avoid the financial risks to find themselves on a solid foundation for the future. The actionable insights presented in this article give readers everything they need to synchronize their financial planning to follow their professional dreams, thus making their dreams successful
The Impact of Macroeconomic Factors on the U.S. Market: A Data Science Perspective
No full textMacroeconomic indicators play a vital role in shaping the behavior and performance of financial markets, particularly in the United States, which hosts one of the most influential global economies. This paper investigates the dynamic relationship between key macroeconomic factors such as interest rates, inflation, unemployment, gross domestic product (GDP), and consumer confidence and the U.S. stock market through a data science lens. Traditional econometric approaches, while effective in capturing linear dependencies, often fall short in modeling complex, non-linear patterns in financial data. Therefore, this study employs advanced data science techniques, including multiple regression analysis, random forests, and deep learning-based models, to quantify and predict the market impact of macroeconomic shifts. The analysis utilizes historical time-series data from authoritative sources, such as the U.S. Federal Reserve, Bureau of Labor Statistics, and World Bank, covering the period from 2000 to 2023. The findings reveal that certain macroeconomic indicators particularly interest rates and inflation exert a more significant and immediate effect on market volatility and investor sentiment compared to others. Furthermore, machine learning models demonstrate improved predictive performance over conventional statistical methods in capturing market responses to macroeconomic events, highlighting the importance of non-linear feature interactions. By integrating financial theory with data-driven methodologies, this study contributes to a deeper understanding of how macroeconomic conditions influence equity markets. The results have practical implications for investors, policymakers, and financial analysts seeking to enhance portfolio strategies, forecast economic trends, and implement responsive fiscal policies. Additionally, this research emphasizes the growing utility of data science in finance, advocating for a shift toward more adaptive and robust analytical frameworks in market analysis. Future work may extend this study by incorporating global macroeconomic variables and real-time sentiment analysis to further enhance prediction accuracy and model interpretability
Beyond Linguistic Gaps: Types of Code-Switching Among Jordanian Bilingual speakers
No full textThis study investigates the motivations and types of code-switching among bilingual Jordanian speakers of Arabic and English. It explores the reasons why these speakers switch between their first language (L1), Arabic, and their second language (L2), English, during interactions. Data are collected through observation and detailed note-taking. A theoretical model is employed to analyze the data and provide an in-depth understanding of this phenomenon. The findings reveal two key aspects of code-switching among the participants. First, code-switching serves distinct motivational purposes, notably expressing identity and self-confidence through the simultaneous use of both languages. Additionally, it compensates for lexical gaps when expressing reactions to others\u27 speech or actions. Second, the study identifies three distinct types of code-switching employed: inter-sentential switching, tag-switching, and intra-sentential switching. Intra-sentential switching is the most frequent (43 instances), followed by inter-sentential switching (29 instances) and tag-switching (21 instances). This research contributes valuable insights into the dynamics of code-switching in a specific bilingual community and recommends future research on the sociolinguistic functions of code-switching in diverse contexts, such as multilingual classrooms, kings and presidents in different settings or media
Enterprise API & Platform Strategy in the era of Agentic AI
No full textThis research paper investigates the critical importance of robust API and platform strategies for enterprises adapting to the proliferation of agentic AI, wherein AI systems autonomously execute tasks with limited human intervention. It addresses the imperative of facilitating seamless communication among AI agents, enterprise data systems, and external applications. The research examines the architectural and performance considerations essential for organizations to maintain competitiveness in this rapidly growing technological landscape of agentic AI projected to expand from 47.1 billion by 2030. Key elements explored include unified data layer APIs, zero-trust authorization models, event-driven orchestration, and latency-sensitive design. Furthermore, the study considers emerging trends such as AI-powered SDKs, self-optimizing API gateways, autonomous API discovery, and ethical AI governance APIs. The findings emphasize that the adoption of modern API and platform architectures, optimization of performance metrics, and adherence to regulatory mandates are paramount for organizations to fully capitalize on the transformative potential of agentic AI. It is posited that enterprises embracing this paradigm shift will achieve a demonstrable competitive advantage, fostering innovation and operational excellence in the AI-driven future
Optimizing Supply Chain Management with ChatGPT: An Analytical and Empirical Multi-Methodological Study
No full text This work explores how a leading language model, ChatGPT, can improve every aspect of supply chain management (SCM) by using a multi-methodological approach: quantitative analysis, qualitative case studies, and simulation models, to set goals that delve into the efficiency of ChatGPT in enhancing demand forecasting accuracy, improving decision-making processes, and highlighting the best practices for its deployment across different SCM tasks. Empirical results indicate that ChatGPT significantly increases the accuracy of the forecast, and the efficiency of decision-making compared to traditional methods. Qualitative insights reflect positive feedback from supply chain professionals, and best practices identified in areas such as predictive maintenance, and automation of customer service. The key findings have a great number of implications for SCM practitioners, theorists, and policymakers, indicating the potential of the model for transforming supply chain operations while pointing at avenues for future research on AI integration and its impact assessment