journals

Personality Traits and Financial Literacy: Impact on Equity Investment Intention among Planters in India

Author(s): Arun James*, Seranmadevi R
Volume: 6 Issue: 2 Pages: 553-563
DOI: https://doi.org/10.47857/irjms.2025.v06i02.03140


Abstract This paper examines the relationship of personality and financial aspects toward investment intentions among Indian planters, including long-term and short-term investment decisions. This quantitative study is based on a random survey of 568 planters for the role of Openness, Agreeableness, Extraversion, Neuroticism, financial knowledge, financial skills, and financial attitudes. The findings indicate that Extraversion […]

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Adopting Bamboo as an Alternative Material in the Furniture Industry: A Systematic Literature Review (SLR) on Awareness and Readiness of Adoption

Author(s): Noor Aslinda Abu Seman*, Siti Fatimah Ibrahim, Juliana Abdul Halip, Nurazwa Ahmad, Arifha Mohamad, Umi Kartini Rashid, Mohd Khairun Anwar Uyup
Volume: 6 Issue: 2 Pages: 152-164
DOI: https://doi.org/10.47857/irjms.2025.v06i02.03790


Abstract This systematic literature review (SLR) of bamboo investigates its functions as an environmentally friendly substitute for traditional wood-based products alongside its operational characteristics, environmental advantages, and economic benefits in the furniture sector. Bamboo has captured the market’s interest because sustainable material demand increases due to its durable quality, renewability features, and cost-effectiveness. However, adoption

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Convolutional Neural Networks and AI Technology for Early Detection of Lung Cancer: A Deep Learning Approach

Author(s): Ganashree TS*, Mesith Chaimanee, Mithileysh Sathiyanarayanan
Volume: 6 Issue: 2 Pages: 141-151
DOI: https://doi.org/10.47857/irjms.2025.v06i02.03751


Abstract Lung cancer detection using Convolutional Neural Networks (CNNs) represents a transformative approach in medical imaging, utilizing deep learning to identify cancerous images in lung images. Our project aims to develop and implement a CNN-based system to detect lung cancer from computed tomography (CT) scans. The process begins with preprocessing the CT images to standardize

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Revalidating the Learning Strategies Dimension of the MSLQ: An Exploratory and Confirmatory Factor Analysis

Author(s): Muhammad Kamran, Amjad Islam Amjad, Arfa Mubeen, Sohni Siddiqui, Sarfraz Aslam*, Shumaila Mansha
Volume: 6 Issue: 2 Pages: 127-140
DOI: https://doi.org/10.47857/irjms.2025.v06i02.03447


Abstract The Motivated Strategies for Learning Questionnaire (MSLQ) is the most vigorous scale that assesses self-regulated learning (SRL) strategies. The MSLQ is a detailed scale of 81 items with two major dimensions (i.e., the Motivation Dimension (MD) and the Learning Strategies (LS). Each major dimension has again sub-scales. However, its validation is a topic of

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Abusive Leadership in Organizations: Insights from Bibliometric Analysis for Future Research Agenda

Author(s): Udin Udin*, Radyan Dananjoyo
Volume: 6 Issue: 2 Pages: 115-126
DOI: https://doi.org/10.47857/irjms.2025.v06i02.03799


Abstract Abusive leadership is a critically important issue in modern organizations because of its far-reaching and deeply detrimental effects on employees, teams, and overall organizational performance. Its importance stems from the need to understand, mitigate, and prevent behaviors that can erode workplace well-being and productivity. This bibliometric review examines the evolving landscape of research on

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Perceptions and Expectations of Safety Gadgets: Insights from Health and Safety Education Lecturers in Some Selected Universities in Niger Delta Region

Author(s): Doris Eseoghene Ikogho*, Dafe Festus Onoharigho, Rukevwe Samuel Akpokiniovo
Volume: 6 Issue: 2 Pages: 106-114
DOI: https://doi.org/10.47857/irjms.2025.v06i02.03371


Abstract This study investigates the perceptions and expectations of Health and Safety Education lecturers regarding the adequacy, challenges, and prospects of safety gadgets and facilities in Nigerian universities. The primary aim is to assess their perceptions of the current state of health and safety facilities, identify key challenges impacting the adequacy and effectiveness of these

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Predicting Waste Volume Using ARIMA and ARFIMA Models

Author(s): Hedi*, Ahmad Deni Mulyadi, Sapto Prajogo, Agus Binarto
Volume: 6 Issue: 2 Pages: 97-105
DOI: https://doi.org/10.47857/irjms.2025.v06i02.03143


Abstract The final waste processing facility plays a crucial role in waste management. The growing amount of waste in landfills is causing significant harm to the surrounding environment and the health of nearby residents. This study seeks to offer insights into the projected future waste volume in landfills. This research applies the mathematical models of

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Mindfulness-Based Stress Reduction (MBSR) for Healthcare Workers

Author(s): Dewi Erna Marisa*, Regidor III Dioso, Asita Elengoe, Yani Kamasturyani, Ani Nurhaeni
Volume: 6 Issue: 2 Pages: 90-96
DOI: https://doi.org/10.47857/irjms.2025.v06i02.02786


Abstract Healthcare professionals face high levels of stress, which negatively impacts their mental health, well-being, and job performance. Mindfulness-Based Stress Reduction (MBSR) is an intervention designed to mitigate stress and promote emotional well-being, but its long-term effects in healthcare settings remain under-explored. This study aims to evaluate the effectiveness of MBSR in reducing stress, improving

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Dynamics of Professional Growth: A Study of Intrinsic and Extrinsic Motivators in CPD Programmes at A Community College

Author(s): Sivaneswary Sivaraja, Manoharan Nalliah*, Sarfraz Aslam, A Shorouk
Volume: 6 Issue: 2 Pages: 81-89
DOI: https://doi.org/10.47857/irjms.2025.v06i02.02707


Abstract This mixed-methods study investigates the intrinsic and extrinsic motivators influencing lecturer engagement in Continuing Professional Development (CPD) programmes within a community college setting. Data were collected from 36 lecturers through structured surveys, capturing both quantitative and qualitative perspectives. The analysis reveals several key motivators, including teaching passion, career advancement aspirations, and institutional incentives, which

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Harnessing Structural Equation Modelling Based Synthetic Data with Artificial Intelligence on Employee Performance Prediction Model in Multinational Organisations

Author(s): Fadi Sakka*
Volume: 6 Issue: 2 Pages: 71-80
DOI: https://doi.org/10.47857/irjms.2025.v06i02.02870


Abstract As organizations evolve, their employee performance capabilities must also advance to maintain competitive advantage. Employees are integral to organizational success, with their performance significantly influencing overall business outcomes. The rapid advancement of information technology, particularly Artificial Intelligence (AI), has permeated various organizational departments, including Human Resource Management (HRM). Despite extensive research in AI, there

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