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    714 research outputs found

    The Practices of Work-life Balance, Job Satisfaction, and Job Performance Among Female Employees in Banking Industry: A Conceptual Study: DOI: https://doi.org/10.33093/ijomfa.2025.6.1.6

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    Malaysia has seen a significant increase in female employees in recent years. However, women often struggle to balance their professional responsibilities with family commitments. This paper examines the work-life balance practices among female employees, focusing on how these practices impact job satisfaction and performance. Drawing on existing literature, the conceptual framework considers factors such as flexible work arrangements and employee wellness programs as work-life balance practices with the mediating role of job satisfaction between work-life balance practices and job performance. The target respondents will be female banking industry employees in Kuala Lumpur and Selangor, Malaysia. Survey-based questionnaires and judgemental sampling will be used in data collection, while PLS-SEM will be used for data management. This study aims to develop a new model that promotes the job performance of female employees and contributes to the sustainable development goal of good health and well-being

    AI-Assisted Cultural and Creative Product Design Framework and Case Study: DOI: https://doi.org/10.33093/ijomfa.2025.6.1.8

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    This paper presents an AI-assisted design framework for the development of cultural and creative products, using the Ya Chou Yue, a renowned artifact from the Shandong Museum, as a prototype for designing a cultural creative doll. The framework is structured around key steps: clarifying design objectives, creating a design plan, generating AI images, and revising the design plan. The final design outcome illustrates the practical application of AI in cultural product development. This study highlights both the advantages and limitations of AI technology in the design process, offering new approaches and methodologies for the cultural and creative industries. Furthermore, it contributes to the ongoing efforts to promote cultural heritage and innovation through AI technologies

    Factors Influencing Intention to Purchase Electric Motorcycles in Urban India: DOI: https://doi.org/10.33093/ijomfa.2025.6.2.5

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    This study investigates factors influencing urban Indian consumers’ electric motorcycle purchase intentions amid growing sustainable transportation demands. Building on the Technology Acceptance Model (TAM), the research integrates core constructs—Perceived Usefulness, Perceived Ease of Use, and Attitude—with two contextual variables, including Consumer Awareness and Perceived Trust. A quantitative survey was distributed via Google Forms to 153 urban residents across Indian cities, with a GPower analysis confirming adequate statistical power for regression modeling. The findings reveal that Perceived Usefulness, Attitude, and Perceived Trust significantly influence consumers’ purchase intentions, with attitude emerging as the most influential predictor. In contrast, Perceived Ease of Use and Consumer Awareness were not found to have a significant impact. These results suggest that government initiatives like the FAME II subsidy scheme may enhance consumers’ trust and awareness, thereby supporting purchase intentions. These insights also highlight the need for policymakers to reinforce incentive structures and for manufacturers to focus on enhancing product credibility. Marketers should adopt benefit-driven communication strategies to transform consumer awareness effectively into actionable purchase intentions. Together, these efforts can help transform consumer awareness into concrete behavioral intentions, accelerating India’s transition toward sustainable mobility

    Internship programme and work readiness among vocational students

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    This study investigates how internship experiences influence job readiness perceptions among Business Administration students at Politeknik Negeri Padang, aiming to enhance vocational education and human resource quality in a global context. The literature review examines employment readiness and internship impacts on skill development and industry exposure, emphasising the role of internships in improving students' preparedness for work. This research uses descriptive and associative methods to explore the relationship between internship programmes and work readiness. Surveys were employed for data collection, with analysis techniques including validity testing, Spearman's rank correlation, and hypothesis testing. The study, which surveyed 115 Business Administration students, found strong agreement that internships enhance job knowledge, skills, attitudes, and workplace familiarity. Statistical analysis reveals a significant relationship (Spearman's rho = 0.773) between internships and work readiness (R² = 59.7%), underscoring the importance of internship programmes for student workforce preparation and advocating continued implementation at Politeknik Negeri Padang

    The moderating effects of education level on mental health among young individuals

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    This study investigates the relationship between mental health disorders and workplace productivity, specifically examining the effects of anxiety, depression, post-traumatic behavior (PT), and stress behaviors. This study also explores how education level moderates these relationships. Data were collected from 161 participants through an online questionnaire, using convenience sampling. Partial Least Squares Structural Equation Modelling (PLS-SEM) via SmartPLS was employed to analyze direct relationships and moderating effects. The results indicate that anxiety and depression significantly and negatively impact workplace productivity, while PT and stress behaviors show no significant effects. The study found that education level significantly moderates the relationship between mental health disorders and workplace productivity. These findings expand our understanding of how mental health impacts workplace performance across educational backgrounds. The research provides practical implications for organizations in developing targeted mental health interventions and support programs based on employees' academic levels

    Inline Bandpass Filtering Waveguide Antenna with Two Transmission Zeros Based on All-resonator Structures

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    Nowadays, a significant amount of effort is being devoted to miniaturizing the design of filtering antennas for future wireless communication systems. However, there are numerous design strategies documented in the literature, most of which are relevant to specific microwave circuit configurations. Moreover, they often require additional matching circuits, which increase the overall size of the filtering antenna. This study introduces a generic coupling matrix approach for developing a second-order filtering antenna with two transmission zeros operating at cross-band frequencies. The last resonator's output is physically connected to free space, and two inline coupled rectangular waveguide cavity resonators operating in the TE101 mode are employed. Impressive, simulated results have been achieved, demonstrating a fractional bandwidth (FBW) exceeding 5% at a reflection coefficient S11 of -9.9 dB. Additionally, the gain response remains remarkably flat, spanning from 8.9 to 9.3 GHz, with a negligible variation of ±0.07 dB around 3.77 dB. The tiny and low-profile design of the suggested filtering antenna offers significant advantages for radar applications.  Manuscript Received: 6 May 2024, Accepted: 15 June 2024, Published: 15 March 2025, ORCiD: 0009-0006-5989-771

    Exploring Media Use for Health Information Seeking among Elderly Slum Dwellers in Kenya

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    This study investigates how elderly residents of Kibera, one of Africa's largest informal settlements, use media to access health information and enhance health communication in Kenya. Employing a phenomenological research design and purposive sampling, data were collected from 30 elderly participants, a doctor, dietician, pharmacist, social worker, health ministry official, and communications expert through interviews and focus group discussions. Findings reveal that older adults engage with various media channels, including radio, television, phone calls, WhatsApp, SMS, Facebook, and websites to listen to health programmes, consult experts, and manage chronic conditions. Thematic analysis shows that media use promotes beneficial health behaviours such as physical activity, healthy eating, and stress management. The study also highlights the role of media in empowering elderly slum dwellers with accessible health information and recommends a multi-dimensional communication strategy to serve this vulnerable population better

    Lexical and Discoursal Nativisation in Baba Malay: Portraying Ethnic Identity in Malaysian Fiction

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    This study investigates the nativisation of Baba Malay in Malaysian English literature, focusing on how its lexical and discoursal elements shape the ethnic identity in selected short stories. The primary objective is to examine how the Straits Chinese author Lee Su Kim integrates Baba Malay into English narratives to reflect cultural hybridity. Using a qualitative approach, the study applies Kachru’s (1986) framework to analyse nativisation strategies, categorised into contextual, cohesive, and rhetorical adaptations. A selection of 19 short stories from Kebaya Tales and Sarong Secrets was made based on their incorporation of Baba Malay expressions, cultural themes, and linguistic adaptation. The analysis was validated through an expert informant review to ensure linguistic and cultural accuracy. The findings reveal that Lee Su Kim strategically employs Baba Malay lexical borrowings, hybridised expressions, and culturally embedded discourse styles to construct a distinct Peranakan identity. This study contributes to discussions of language adaptation, ethnic representation, and bilingual creativity in postcolonial literature, reinforcing the role of nativised English in preserving cultural narratives.

    Enriching Authority and Engagement on Metadiscourse in the Reporting of Media and Latest Matters

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    Metadiscourse is a significant linguistic tool for engaging the audience as it directs readers through the text. Throughout the pandemic, news about Coronavirus Disease 2019 (COVID-19) became a vital public information source. Nevertheless, reference books, manuals, and websites do not provide clear guidelines for composing news about COVID-19. Because of the variations in word selection, expressions and sentences, readers experience misinterpretations. This research seeks to examine how readers react to news articles that include metadiscourse compared to those that do not. To obtain insights from this research, 30 students from a private school in Malaysia took part in the study. They were provided with news containing both metadiscourse and non-metadiscourse and writing prompts. The results showed that most participants favoured reading the news with textual metadiscourse, emphasising writers' authority due to its clarity. Moreover, the results indicated that most participants preferred the news featuring interpersonal metadiscourse that stressed readers' engagement as it was more captivating. The study examined the participants' responses to readers with guidelines to ensure reader engagement is highlighted in their manuscripts. The results highlighted the significance of metadiscourse in writing, indicating that texts created with and without metadiscourse may serve as valuable teaching materials for writing instructors in educational settings

    AI-Mediated Communication Beyond Human-AI Dyads: A Systematic Review of Chatbot and Agent Interactions

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    This study examines recent developments in computer-mediated communication by analysing the role of artificial intelligence within communicative processes. Using a systematic literature review, it explores how AI-based chatbots and AI agents interact with humans and how computer-mediated communication, once viewed as a neutral medium, is shifting toward a more active role. This shift is particularly evident as AI systems increasingly engage directly with users and communicate with other AI systems that mediate human interaction. Drawing on Actor–Network Theory (ANT), the study conceptualises AI technologies as communicative actors that extend beyond their earlier instrumental functions. The review follows the PRISMA framework and analyses studies published between 2015 and 2025. Searches conducted via Mendeley Search initially identified 98 relevant studies, of which 21 met the inclusion criteria focusing on chatbots and AI agents. Findings across multiple domains indicate that AI technologies function within two dominant communication models: the human–AI–human model and the human–AI–AI–human model. The latter demonstrates emerging forms of AI-to-AI communication that mediate human interaction. The study acknowledges limitations related to the rapid evolution of AI, reliance on a single search platform, and potential researcher bias

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