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Determinants of job pursuit intention among private university students in Malaysia
Get PDFIn today's competitive job market, organizations have significant challenges in attracting and maintaining skilled employees, particularly in developing countries such as Malaysia. Malaysia faces substantial workforce issues, such as brain drain and unemployment. This study examines the determinants that influence job pursuit intention among private university students in Malaysia, with focus on salary, quality of work life and corporate social responsibility. A quantitative approach was used, with data collected from 395 respondents at three private universities in Perak through a structured questionnaire. The data have been assessed by descriptive statistics, reliability tests, and multiple linear regression. The results show that all determinants, salary, quality of work life and corporate social responsibility have significant influence job pursuit intention with corporate social responsibility as the most significant determinant ((β = 0.365, p < 0.001), followed by quality of work life (β = 0.341, p < 0.001) and salary (β = 0.120, p = 0.013). The findings indicate that, while salary remains a critical criterion, students prefer organizations with strong ethical standards environmental sustainability as well as employee well-being. The study also highlights the changing preferences of generation Z, which prioritize meaningful work and work-life balance instead of competitive salary. This research has crucial implications for organizations seeking to attract and retain young talent. Employers are encouraged to boost their corporate social responsibility initiatives, promote better working environment and provide flexible work arrangements to meet the expectations of future employees. Meanwhile, universities can use these findings to better prepare students for the job market by developing partnership with socially responsible organizations.
Keywords: job pursuit intention; salary; quality of work life; corporate social responsibility; students
Subject Area: HF5549-HF5549.5 Personnel managemen
A study on factors affecting intention to quit among primary school teachers in Malaysia.
Get PDFEducation is the backbone for supporting the long-term growth of a nation and society. However, teacher shortages have become a growing worldwide concern. Primary school teachers are the most important human capital for developing the future pillars of a country as they provide students with a solid foundation of knowledge and shape their future behavior. Nevertheless, the attrition rate of Malaysian primary school teachers is growing from year to year. It is crucial to address this issue so that Malaysia can retain competent primary school teachers and thereby improve education quality. Therefore, the goal of this study is to analyze the factors that influence the intention to quit among Malaysian primary school teachers. We investigate the relationship between burnout, pay, organizational commitment and self-efficacy with intention to quit. This study utilized quantitative research method by collecting questionnaires from 400 primary school teachers in Selangor, Johor, Perak and Kedah. After that, the data were analyzed using Statistical Package for Social Sciences (SPSS). The Pearson Correlation Coefficient was adopted in this study to assess the association between the four independent variables and teachers’ intention to quit. The findings showed that there is a significant positive relationship between teacher burnout and their intention to quit. Moreover, pay, organizational commitment and self-efficacy are significantly and negatively correlated to intention to quit. As a result, the Ministry of Education, school administrators and NUTP must take proactive strategies in addressing the shortage of primary school teachers so that Malaysia can retain qualified teachers and maintain an effective education system.
Keywords: intention to quit; primary school teachers; teacher turnover; teacher retention; burnout; pay; organizational commitment; self-efficacy
Subject Area: H1-99 Social sciences (General
The potential of copper oxide nanoparticles photocatalyst and microalgae for leachate treatment
Get PDFThe Municipal Solid Waste landfill has become a big challenge to the world nowadays. The percolating wastewater that comes out from this waste material, also known as leachate, is highly toxic and contaminated. Leachate contains high suspended solids, heavy metals and others hazardous substances such as xenobiotic compounds, ammonia, volatile organic compounds, hydrogen sulfide, methane and others. The objective of this research is to determine the effectiveness and efficiency of integrated methods using green synthesized nanoparticles and phyco-remediation using microalgae to treat leachate. In this study, the pre-treated leachate samples were treated with heterogenous photocatalytic degradation, under different concentrations of 100 mg, 150 mg and 200 mg of copper oxide nanoparticles (CuO NPs). The leachate samples were further polished using microalgae species known as Chlorella vulgaris. Microalgae were cultivated and grown in different percentages of 0%, 25%, 50%, 75% and 100% of photo-treated leachate samples for seven (7) days. The water analysis for before and after treatment was carried out according to standard methods. Parameters such as pH, Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD5), Suspended Solids (SS), Ammoniacal Nitrogen (AN) were tested. Throughout this research, the mentioned integrated leachate treatment had achieved the total removal rate of 98% of COD, 99% of BOD5, 93% of SS and 93% of AN. As a conclusion, the integrated system of nanoparticles and microalgae has shown the optimization of leachate treatment by achieving the most satisfactory reduction rate in the tested parameters
AI and governance quality - twin pillars in the evolution of financial development
Get PDFThe growing importance of Artificial Intelligence (AI) as a transformative force in financial systems is gaining recognition, particularly in developing economies. However, the combined impact of AI adoption and governance quality on financial development remains insufficiently explored. This study examines the roles of AI integration and governance standards across 58 developing countries over the period of 1996 to 2021. The analysis reveals that: (1) increased adoption of AI technologies significantly supports the development of the financial sector, and (2) strong governance, particularly political stability, reinforces financial system security and fosters long-term financial growth. These effects are especially evident in countries facing higher levels of financial exclusion and where financial institutions demonstrate greater efficiency. The variables used to measure financial development, AI penetration, and governance quality include domestic credit to the private sector, digital infrastructure indicators, and political stability, respectively, sourced from the World Bank and other global databases. Employing the two-step system Generalized Method of Moments (GMM) estimator, the study ensures robustness against endogeneity and autocorrelation, while accounting for countryspecific heterogeneity. The findings highlight key policy implications: (1) governments should focus on establishing politically stable and transparent institutions, and (2) strategic investment in AI technologies should be prioritized to enhance financial inclusion and accelerate economic development.
Keywords: Artificial Intelligence. Governance Quality, Financial Development, GMM, Financial Inclusion, Financial Performance, Macroeconomic Variabl
The hedging capability between non-green cryptocurrency and green cryptocurrencies toward the U.S. stock market: Analysis of the effect of economic policy uncertainty
Get PDFThis study examines, while accounting for Economic Policy Uncertainty (EPU), the relationship between green and non-green cryptocurrencies and the US stock market. A negative correlation between the returns of green cryptocurrencies and the U.S. stock market is found in the study, which uses daily time series data from May 3, 2021, to December 31, 2024. Numerous statistical tests were performed on the data, including the GARCH model, Feasible Generalised Least Squares (FGLS), Phillips-Perron (PP) test, Augmented Dickey-Fuller (ADF) test, Jarque-Bera test, Breusch-Godfrey LM test, and ARCH LM test. The absence of a unit root has been proven by employing the ADF test and PP test. The Newey-West Heteroscedasticity and Autocorrelation Consistent (HAC) method was employed to guarantee model resilience despite the presence of heteroscedasticity, autocorrelation, and error-term’s normal distribution. According to the FGLS model, Bitcoin exhibits a positive but insignificant relationship with S&P 500 returns, whereas green cryptocurrencies have a significant negative relationship. Furthermore, whereas Bitcoin's hedging ability is unaffected by high EPU, green cryptocurrencies' hedging capacity is adversely harmed. In a nutshell, these results have important implications for future researchers, investors, and policymaker
论海凡《野径》热带雨林的动物书写与主题 : The rainforest animals writings and themes of Hai Fan's Ye Jing
Get PDF本文以海凡小说集《野径》为研究对象，聚焦其热带雨林中的动物书写，探讨动物意 象与马共游击队员生存经验之间的深层联系。作为曾经亲历雨林斗争的马共士兵，海凡通 过动物与人类互动的描写，将个体生存经验转化为富有象征性的文学表达。论文以〈黄 麂〉、〈黑熊〉、〈松鼠〉、〈鼠鹿〉、〈大象〉、〈山龟〉等篇章为例，解析动物在文 本中不仅作为自然存在的实体，更承载了生存意志、情感投射、个体挣扎与精神象征等多 重意涵。通过文本细读与社会历史批评相结合的方法，论文指出《野径》打破了传统马共 书写一味宣传革命的叙述模式，而是转向对个体生命状态的细腻刻画，展现了人在自然与 历史剧变下的挣扎与选择。 本研究发现《野径》中的动物意象往往折射出马共战士在生存压力下的情感状态与思 想变迁，动物作为“他者”与“镜像”存在，促使读者重新审视人类自身在困境中的意志 与尊严。同时，《野径》通过雨林生态与人类社会之间的错位，揭示了马共战士在时代边 缘中的身份困境，构筑出一幅富有情感温度的革命历史图景。本文主张，海凡的动物书写 不仅是对自然与革命记忆的复调再现，也提供了一种由个体视角出发的历史书写方式，呈 现出革命行动中个体主体性与生存伦理的多重张力。 关键词 海凡；《野径》；马共书写；动物书写；动物意
探讨二十四节令鼓的演变及趋势 : Exploring the evolution and trends of the 24 Festive Drums
Get PDF二十四节令鼓自 1988 年在马来西亚新山创立以来，作为马来西亚华人文化创 新的重要成果，融合了二十四节气、广东狮鼓与书法艺术，形成独特而完整的文化 符号系统。历经三十余年发展，二十四节令鼓已从地方校园表演走向全球，成为华 人社会认同与中华文化传播的重要载体。本文通过梳理节令鼓的起源与发展，结合 态势分析法，指出其在全球传播中展现出强大的文化凝聚力与艺术创新力，但也面 临着文化内涵弱化、商业化冲击、代际断层与全球标准化困境等严峻挑战。未来， 二十四节令鼓需在坚守节气文化精神与哲学底蕴的基础上，通过教育系统化、艺术 多元化、国际化传播与数字化转型等策略，实现可持续发展。特别是在即将申报联 合国教科文组织非物质文化遗产的重要阶段，加强文化价值的提炼与保护尤为关键。 二十四节令鼓作为一种独特的鼓舞艺术，既体现了海外华人对中华文化的深情守护 与创造性转化，也展现了中华文化在当代全球化背景下的生命力与适应性。二十四 节令鼓未来发展需在坚守文化根基的同时，不断适应时代变革，确保其作为文化传 播媒介的持续生命力与全球影响力。
【关键词】二十四节令鼓、演变发展、态势分析法、未来趋
The comparative influence of traditional celebrities and digital influencers in fashion industry for generation z
Get PDFThis study explores how traditional celebrities, and digital influencers affect Generation Z’s purchasing intention in the fashion industry. Using the Source Credibility Theory and Information Acceptance Model, it examines the impact of expertise, attractiveness, trustworthiness, engagement level, and information quality on Generation Z’s purchasing
intention influenced by endorsers. A total of 392 gen Z participants were surveyed using convenience and snowball sampling through Google Form. The research aims to identify the key factors influencing Gen Z’s purchasing intention and offer insights for marketers to create more effective, targeted strategies. It contributes to existing literature by comparing influencer types and their roles in modern fashion marketing.
Keywords: Traditional Celebrities, Digital Influencers, Generation Z, Purchasing Intention, Fashio
Smart shopping assistant using mobile application development
Get PDFIn the contemporary retail landscape, mobile applications have become indispensable
tools for grocery shoppers. However, many existing platforms fail to offer a truly
integrated and intelligent experience, lacking advanced features for personalized
health-conscious decision-making, effortless list management, and practical in-store
support. This project introduces the Smart Shopping Assistant, a cross-platform mobile
application designed to address these limitations by creating a seamless, secure, and
highly personalized shopping journey. The application is developed using the Flutter
framework for broad device compatibility and is powered by Supabase for robust and
secure backend services, including user authentication, data management, and PostGISbased
geospatial queries. At its core, the assistant leverages a sophisticated AI engine,
orchestrated through Dify and utilizing the Gemini API, to provide users with
personalized nutritional analysis based on their specific health profiles. A key
innovation is the on-device integration of Optical Character Recognition (OCR) via
Google's ML Kit, which empowers users to instantly scan and digitize product nutrition
tables for real-time evaluation. Furthermore, the inclusion of the Google Maps Service
provides comprehensive location-based features, including nearby store discovery,
address selection with autocompletion, and route visualization. Developed under an
Agile methodology, the project prioritizes a user-centric design that blends convenience
with valuable insights. By unifying an intelligent AI assistant, real-time nutritional data
analysis via OCR, a full-featured e-commerce system with order management, and
practical location-based services within a single platform, the Smart Shopping Assistant
aims to empower consumers to make more informed, efficient, and health-aware
purchasing decisions. This work contributes to the evolution of mobile commerce by
delivering an integrated solution that enhances user trust, convenience, and dietary
consciousness in everyday shopping
Smart water intake tracking system for kids
Get PDFDehydration in kids can pose a significant health hazard, especially when it occurs amid
situations such as while they are attending kindergarten or schools and their supervisors cannot
supervise them all the time. This project presents the development of Smart Water Tracking
System using an ESP32-based system integrated with a load sensor (HX711) to measure realtime
water intake. The data is collected and store to Firebase cloud storage when internet
connectivity is available, else it will store the data locally for offline use. The purpose of this
storing technique is to ensure the accurate and continuous data collection in IoT applications.
A user-friendly monitoring application that involving JavaScript, HTML and CSS to allows
parents and caregivers to visualize daily, weekly and monthly drinking patterns, with features
such as real-time hydration tracking and refill detection. By combining offline data
synchronization and cloud services, the system provides a reliable tool to encourage better
hydration habits in children and lessens the risk of dehydration that may pose threats within
the education sector, with a solution at low cost which enables custom form factor