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Understanding AI Technology Adoption in Educational Settings: A Review of Theoretical Frameworks and their Applications
Get PDFArtificial Intelligence (AI) technologies are increasingly integrated into educational environments, promising transformative impacts on learning experiences and administrative efficiencies. This review synthesizes prominent theoretical frameworks used to understand AI technology adoption among students and educators in educational settings. The Value-based Adoption Model (VAM), Theory of Planned Behavior (TPB), Unified Theory of Acceptance and Use of Technology (UTAUT), and Technology Acceptance Model (TAM) are examined for their strengths and limitations in explaining the factors influencing technology adoption. Through a comprehensive analysis of recent literature, this paper highlights the involvement of user acceptance, incorporating cognitive, social, and emotional dimensions. Understanding theoretical frameworks related to AI technology adoption could provide a comprehensive overview of existing theoretical frameworks related to AI technology adoption in educational settings, integrating findings into a cohesive narrative
Serving The Future: Factors Influencing Consumer Acceptance of Robotic Waiters in Restaurants
Get PDFThis research examines the factors influencing consumer acceptance of robotic waiters in restaurants. As the food service industry increasingly adopts robotic systems, it is essential to comprehend consumer approval for their effective integration. In this study, the Technology Acceptance Model (TAM) is utilized to investigate the key factors influencing consumer acceptance of robot waiters. It examines consumers' evaluations of these robots' usefulness and ease of use, as well as their attitudes and intentions. The findings illustrate the correlation between perceived usefulness, perceived ease of use, and attitude. Regression analysis highlights the significant roles of perceived ease of use and perceived usefulness in shaping attitudes toward technology, with the former having a more pronounced positive impact. However, anticipating future research into the complexities of user perception, particularly the negative correlation between perceived usefulness and attitude, is an exciting prospect for further investigation. This research enhances the understanding of consumer acceptance of robot waiters in restaurants and provides valuable insights for restaurant operators, policymakers, and other stakeholders. By addressing concerns related to technological adoption and customer preferences, this study guides the effective implementation of robot waiters in the restaurant industry, to improve operational efficiency and service quality
Customer Experience Rating for Achieving Loyalty & Satisfaction
Get PDFBusiness organizations are turning to innovative goods, new markets, and inorganic growth prospects to generate income as global marketplaces change dramatically and player competition heats up. However, providing a superior and distinctive customer experience for financial services represents the biggest chance for long-term revenue development. Creating a Customer Experience Rating (CXR), a measurement of customer experience in the Malaysian banking industry is the primary goal of this project. According to the statistical analysis findings, the CXR had a high degree of reliability and proved construct validity by reaching both convergent and discriminant validity. The Malaysian population enjoys positive bank experiences, as indicated by the customer experience rating 7.37. The results of this study can be used by practitioners, managers, and regulators to better understand customer experiences and create marketing strategies that will enhance the operational environment, increase customer loyalty and satisfaction, and foster positive word-of-mouth
Use and Adoption of Website and Social Media Marketing: Insights from Homestay Business Owners
Get PDFThis qualitative inquiry delves into the transformative impact of digital technology adoption, specifically websites and social media, on the operational and promotional strategies of homestay business owners in Negeri Sembilan within the burgeoning technology-driven tourism sector. It critically examines the integration of these digital tools into marketing and communication frameworks, evaluates their role in enhancing business visibility and shaping public perceptions, and offers comprehensive insights into the associated benefits and challenges. Initial results indicate that the adoption of websites has significantly redefined marketing paradigms by broadening customer outreach and intensifying engagement, while social media has been instrumental in increasing visibility and improving interactive communications with prospective clients. However, this digital transition also poses challenges, including the need for continuous content development and bridging the digital skills gap
Competency-Based Framework Development and Implementation: Current and Future Perspectives
Get PDFA competency-based framework (CBF) is a standardized metric facilitating various HR functions including recruitment, assessment, training, performance evaluation, and career development. This paper aims to investigate the process of developing CBF, the benefits and the challenges associated with its development and implementation. The paper explores some of the key issues encountered and lessons learned from the practical application of competency frameworks within organizational settings. This paper offers recommendations to guide practitioners and researchers in navigating the complexities associated with CBF implementation. It also guides those endeavoring to develop competency-based frameworks, offering a comprehensive step-by-step process. The focus is on fostering stakeholder engagement, aligning frameworks with organizational objectives, and leveraging technological advancements to enhance integration and effectiveness within the evolving landscape of digital transformation and innovation driven by AI. Additionally, future research opportunities are highlighted to assist organizations in navigating the changing dynamics of the digital era
Quantifying Fiscal Multipliers in South Africa: A Structural Var Approach
Get PDFFiscal multipliers have deteriorated in South Africa since the global financial crisis in 2008 and 2009. Weakening fiscal multipliers to a record low of zero has constrained the government’s ability to use fiscal policy measures to stimulate the economy, particularly in the aftermath of the COVID-19 pandemic and recent geopolitical risks affecting the global economy. The current paper quantifies fiscal multipliers in South Africa. The study employed the structural vector autoregressive to quantify government spending and government tax revenue fiscal multipliers in South Africa over the period 2000M01–2023M10. The control variables for the study are government total spending, total government tax revenue, and the production index as a proxy variable for economic activity. This is the first study to employ high-frequency monthly data, which increases the number of observations, thus yielding significant and robust results. The accumulated government expenditure and government tax revenue multipliers are 0.4 and 0.1, respectively. The empirical results are consistent with the Keynesian view that government spending, particularly investment spending, fosters economic growth. Structural reforms in logistics, the energy sector, and education to boost economic growth and improve fiscal multipliers that are currently less than one in South Africa must be adopted as a policy response
The Prioritization of Sustainable Development Goals by Major Malaysian Islamic Banks: A Comparative Analysis
Get PDFThe banking sector's alignment with Sustainable Development Goals (SDGs) is critical for advancing global sustainability efforts as it facilitates financial intermediation. A key issue remains the need for more consistency in how Islamic banks prioritize SDGs, making it difficult to assess their collective impact. This study aims to compare the SDG prioritization across Islamic banks in Malaysia, addressing the current variation in sustainability efforts. This study uses qualitative methods by analyzing existing frameworks in the bank’s Annual Report and Sustainability Report. Based on the comparative analysis, the study proposes a standardized SDG framework tailored to Islamic banks, ensuring alignment with Shariah principles and international sustainability standards. The findings highlight disparities in SDG prioritization among Islamic banks and suggest recommendations for more unified and effective sustainability strategies within Malaysia's Islamic banking sector. These insights could guide policymakers and banks toward more impactful sustainability initiatives
Enhancing Hajj Education through Interactive Multimedia Game-Based Learning
Get PDFThe Hajj pilgrimage, a fundamental aspect of Islamic education, often lacks engaging educational tools to convey its experiential and cultural significance. However, traditional methods fail to bridge the gap between theoretical knowledge and practical understanding. Therefore, this study presents the development and evaluation of the “Islamic Insight: Hajj Board Game,” an interactive 2D Game-Based Learning (GBL) tool designed to educate students about the Hajj pilgrimage. The game was developed using Agile methodology, incorporating Unity, Canva, and Microsoft Visual Studio tools. The primary objectives were to design a comprehensive storyboard, create the game, and evaluate user experience. The evaluation phase utilized the Game Experience Questionnaire (GEQ) to gather insights from 39 respondents. The GEQ results indicated a positive reception, with high ratings in competence (mean = 4.26) and immersion (mean = 3.85). Participants found the game engaging and educational, with positive affect scoring a mean of 3.35. However, the challenge aspect received a moderate rating (mean = 2.58), and the negative effect was low (mean = 2.18), suggesting minimal negative emotions during gameplay. Overall, the Hajj Board Game successfully provided an engaging and informative experience, enhancing students’ understanding of the Hajj pilgrimage. Future research should focus on improving accessibility and expanding the game to mobile platforms to reach a broader audience
Real-Time Vegetable Identification and Detection Implementing Yolo
Get PDFFruits and vegetables are essential sources of nutrition, crucial for preventing chronic diseases like diabetes, cancer, and cardiovascular issues. Maintaining a healthy diet, including the recommended servings of vegetables and fruits, is important for overall well-being. However, many individuals, particularly those unfamiliar with grocery shopping, struggle to distinguish between different types of vegetables due to their similar physical characteristics, leading to confusion and poor dietary choices. Therefore, this project aims to design and develop a real-time vegetable detection and identification system through a mobile application using deep learning and provide healthy recipes based on the identified vegetable. This project used the YOLOv5 object detection algorithm for vegetable detection, utilizing manually captured vegetable images from phones as the dataset. The collected data were organized into a unified folder. The Modified Waterfall model was adopted as the methodology, excluding the maintenance phase, encompassing requirement gathering, design, implementation, and testing. The testing phase demonstrated that the model met all the project’s objectives and successfully identified and detected vegetables with a mAP of 95.7%. All functionality test cases and an accuracy test confirmed that the system effectively resolved the problem. The system was developed as a mobile application to enhance accessibility for target users. Future enhancements could include refining the detection model and incorporating a wider range of vegetables or including other ingredient datasets to broaden its scope
Cues to Action and Self-Efficacy in the Health Belief Model: Perceived Risk as Mediating Roles Towards Enhancing Customer Engagement
Get PDFUnderstanding and predicting customer engagement (CE) is crucial, especially in the context of medical and health insurance (MHI). In the current global landscape, particularly in light of the COVID-19 pandemic in 2020, gaining insights into customer behavior is essential for shaping future decisions and strategies. This study aims to investigate CE in private hospitals in Malaysia by utilizing the Health Belief Model (HBM). The HBM offers a comprehensive view of how customer beliefs and behaviors affect CE, making it well-suited for this research context. The study employs variance-based structural equation modeling through Smart PLS 4.0, using a sample of 150 private hospital customers in Malaysia. The findings reveal a significant relationship between Cues to Action (CA) and Self-Efficacy (SE) on CE, while perceived risk (PR) does not mediate the relationship between CA and SE about CE