3127 research outputs found
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Satisfaction of Persons with Physical Disabilities at Family-Style Restaurants in Kuala Terengganu
Full text linkFor people with disabilities (PWDs) to have the best possible dining experiences in restaurants, they require specialized accessibility. Nevertheless, some restaurant owners sometimes overlook this issue when offering suitable amenities for this particular group of patrons. Therefore, this study aims to identify physical key factors influencing individuals with physical disabilities at family-style restaurants in Kuala Terengganu, Malaysia. The physical key variables in this study include the respective space for parking facilities, the building's design, the design of the dining area, and the family-style restaurant restroom specifications. 400 valid replies were analyzed using the Statistical Package for the Social Sciences (SPSS), and the analysis's findings demonstrate the importance of each suggested variable. The data was gathered in Kuala Terengganu using an online questionnaire and some paper surveys, in compliance with the restriction on physical distances. According to this study, the design of buildings, the design of the dining area, and restroom specifications are the three independent factors that impact customer satisfaction. Future academicians and other interested parties can learn more about the topic of this study. Government agencies and food service providers will also benefit from the insights as they plan and operationalize better in the future to increase consumer satisfaction
Determinants of Food Selections among International Travelers Towards Malaysian Cuisine
Full text linkFood plays a crucial role in the travel experience, serving as an important aspect of destination marketing to attract international travelers to Malaysia. Therefore, this study discovers the determinants of Malaysian food selections among travelers. A quantitative research approach was used in this study due to its effectiveness in data collection. A descriptive study was used to determine the motivational and psychological factors affecting the selection of Malaysian cuisine by international travelers. A non-probability, convenience sampling method was developed, consenting to the selection of any international travelers meeting the criteria. The target population for this study consisted of international travelers located in Kuala Lumpur. The selection of the population was travelers staying in Malaysia for a duration of three days to two weeks and who had tried Malaysian cuisine during their visit. Data was gathered through self-administered surveys of 398 travelers visiting Malaysia. The findings reveal a positive relationship between these motivational factors and travelers' intention to consume local food. The study suggests that experiencing local cuisine helps create positive, lasting memories, intensifying tourists' relationships with local attractions and enhancing their behavioral intentions
Exploring Factors Influencing Students' Satisfaction at Arked Meranti, Universiti Teknologi Malaysia
Full text linkStudent satisfaction with campus food services plays a crucial role in their well-being and academic success. This study explores the key food service attributes influencing student satisfaction at Arked Meranti Cafeteria, Universiti Teknologi Malaysia, Skudai, Johor, focusing on students from Rahman Putra College and Tun Fatimah College. A quantitative research design was employed, with data collected from 341 students through an online survey distributed via Google Forms. The survey covered demographic details and four key food service attributes: food and beverage quality, service quality, setting quality, and price-value perception. Data was analyzed using IBM SPSS Statistics version 27. The results indicate that all variables significantly contribute to overall student satisfaction. Descriptive analysis provided insights into satisfaction levels, while multiple regression analysis determined the relative impact of each attribute. The findings reveal that setting quality (? = 0.331) has the strongest influence on satisfaction, followed by service quality (? = 0.316) and food and beverage quality (? = 0.219), whereas price and value (? = 0.005) have the least impact. These findings expand existing knowledge on student satisfaction at Arked Meranti by emphasizing the significance of key factors. Additionally, they offer recommendations for university management to improve student satisfaction
The Impact of Foreign Direct Investment on Unemployment in Mena Region
Full text linkThis paper examines the impact of foreign direct investment on unemployment in the MENA (Middle East and North Africa) region from 2011 to 2021. To achieve this, the study employed fixed effect and random effect estimators. The findings reveal that FDI, GDP growth, and population growth have negative coefficients and a significant impact on unemployment, whereas government expenditures and exports have negative coefficients but no significant impact on unemployment. This suggests that FDI, GDP growth and population growth reduce unemployment in the MENA region. Since the countries in this region have experienced high concentrations of unemployment, the government should focus on implementing policies that develop the skills and training of the people to prevent mismatches and encourage the private sector to create new jobs. In addition, the government should develop policies that facilitate the access and operation of FDI investors, as this will further assist in lessening unemployment in the MENA region
The Role of AI-Assisted Learning Tools in Personalized Learning and Adaptive Education
Full text linkThis study examines the role of AI-assisted learning tools in fostering personalised learning and adaptive education in higher education. With the increasing adoption of AI-powered applications such as ChatGPT, Grammarly, and intelligent tutoring systems, students benefit from tailored academic support, real-time feedback, and individualised learning pathways. Using a quantitative research design, this study collected data through an online survey distributed to university students across various disciplines. The findings indicate that AI-assisted learning tools significantly enhance student engagement and academic performance while supporting independent learning. However, challenges such as over-reliance on AI, ethical concerns regarding academic integrity, and data privacy issues remain critical considerations. Statistical analyses, including correlation and regression models, demonstrate a positive relationship between AI usage frequency and students' perceived learning effectiveness. The study concludes with recommendations for optimising AI integration in education, emphasising a balanced approach that combines AI with traditional pedagogical methods to enhance student learning outcomes while mitigating potential risks
Exploring the Adoption of Audit Data Analytics Among External Auditors in Malaysia
Full text linkThis study examines the current adoption of Audit Data Analytics (ADA) among external auditors in Malaysia and explores their perceptions regarding adoption plans, perceived opportunities, and challenges associated with ADA implementation. While ADA has the potential to transform traditional audit practices, its adoption remains inconsistent across audit firms, raising concerns about readiness and perceived benefits. A quantitative survey methodology was adopted, using a structured questionnaire distributed to external auditors from audit firms in Klang Valley, Penang, and Johor. A total of 221 responses were collected and analysed using descriptive statistics and reliability assessments via SPSS. The findings reveal that while many firms recognize the benefits of ADA, such as improved audit quality and greater transaction testing capabilities, actual adoption levels vary significantly across audit areas. Key challenges identified include client concerns over data confidentiality, insufficient ADA expertise, and inadequate technological infrastructure. This study contributes to current literature by providing empirical insights into ADA adoption within Malaysia’s external auditing sector, an area previously underexplored. The findings offer practical implications for audit firms, regulators, and professional bodies seeking to promote ADA adoption and advance digital transformation in the auditing profession
An Organization DNA Model: UiTM in Analysis
Full text linkThis study focuses on Universiti Teknologi MARA (UiTM), highlighting its academic success and strong employee character. It aims to identify employees' trust in the institution and analyze the data using qualitative content analysis. Three data sources were used: an interview with the former Vice-Chancellor, an exploratory survey with 187 respondents from various categories, and secondary data from the Vice-Chancellor’s speeches and writings. Methods included content analysis, exploratory data analysis, and word frequency analysis. The study draws a comparison between UiTM's organizational structure and DNA, where the backbone represents "Nation (Bangsa), Knowledge (Ilmu), and Success (Berjaya)," and the nitrogenous bases symbolize "Thinking (Pemikiran), Emotions (Emosi), Spirit (Semangat), Aspirations (Aspirasi), and Behavior (Tingkah laku)." These elements form the PESAT model, which encompasses the core components of UiTM’s identity. The research contributes by offering a framework for managing large institutions like UiTM, ensuring a sustainable identity, and guiding future aspirations. This model provides valuable insights into the institution’s community and its continued development
AI Integration in TVET: Examining Educators’ Behavioral Intentions and the Moderating Role of Experience
Full text linkArtificial Intelligence (AI) is a branch of contemporary science and information technology that aims to replicate human-like intelligence in machines. Its application has increasingly become a significant component in modern education, transforming the way knowledge is accessed and delivered. Educators are now required to recognize AI technology as a pivotal tool in both current and future educational environments. In light of this, the present study investigates the predictors of behavioral intention, namely, performance expectancy, effort expectancy, social influence, and facilitating conditions, towards the use of AI technology among lecturers in Polytechnics and Community Colleges (POLYCC) in Malaysia. This research is grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Employing a simple random sampling method to ensure equal representation, data were collected from 142 academic staff members in POLYCC through an online questionnaire. The data were analyzed using SPSS to test the proposed research model and hypotheses. Findings revealed that performance expectancy, effort expectancy, and facilitating conditions significantly and positively influence lecturers’ behavioral intention to use AI. In contrast, social influence did not have a significant effect. Additionally, the study identified experience as a moderating variable, which significantly strengthened the relationships between effort expectancy, social influence, and facilitating conditions with behavioral intention. These results highlight the importance of considering educators’ experience levels when designing strategies for AI adoption in teaching and learning environments
Digital Twin for Sustainable Supply Chain in Urban Development: A Conceptual Model for Smart Cities
Full text linkThe rapid urbanization of the 21st century has intensified the need for innovative solutions to address sustainability supply chain challenges in urban environments. Digital Twin (DT) technology, characterized by its ability to create virtual replicas of physical systems and integrate real-time data, has emerged as a transformative tool in smart city development. This study proposes a conceptual framework that explores the role of DT technology in promoting sustainable supply chains in urban development by aligning environmental, economic, and social dimensions with urban governance. By integrating insights from sustainability science, cyber-physical systems, and smart city initiatives, the framework highlights how DTs can optimize urban systems, improve decision-making, and foster inclusivity. Additionally, it addresses key challenges such as data privacy, interoperability, and scalability, offering a roadmap for future research and implementation. The findings emphasize the potential of DTs to create resilient, efficient, and equitable urban ecosystems, bridging gaps in existing research and providing actionable guidance for policymakers, urban planners, supply chain practitioners and industry stakeholders striving to shape sustainable cities of the future
Beyond Administration: HRM as a Catalyst for Academicians' Self-Actualization in Higher Education Institutions
Full text linkIn an era where higher education institutions (HEIs) face increasing demands for innovation, global competitiveness, and faculty excellence, Human Resource Management (HRM) must evolve from a purely administrative function into a strategic driver of academic development. This study examines how HRM practices can promote self-actualization among academicians, a psychological state characterized by intellectual autonomy, purpose-driven work, and the fulfillment of personal potential. Grounded in Maslow’s motivational theory and self-determination frameworks, the research employs a qualitative design, with semi-structured interviews with 40 academic leaders and HR professionals across Malaysian universities. Findings reveal a significant misalignment between current HRM structures and the intrinsic motivators of academic staff. Themes such as limited strategic HRM integration, narrow recognition systems, lack of tailored professional development, and restrictive organizational cultures emerged as key barriers. However, institutions that adopt transformative HRM practices, such as fostering autonomy, inclusivity, and intellectual growth, report improved academic engagement and retention. The study proposes a conceptual shift positioning HRM as a catalyst for academic self-actualization and institutional excellence. It concludes with strategic recommendations for policy, practice, and further research in aligning HRM with the psychological and professional aspirations of faculty members