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Leadership Influence on Occupational Health and Safety Management System: A Case Study of a Malaysian Dangerous Goods Warehouse Using Process Enneagram
Full text linkMany potential dangers and pitfalls exist in the handling and storage of dangerous goods (DG) cargo. Regardless, many enterprising businessmen participate in the rapid proliferation of DG warehouses, some out of pragmatism and yet others, out of the necessity to provide much needed service in the overall DG supply chain. This study used Process Enneagram as the tool to understand the influence of leadership on OHS issues found in a DG warehouse which specializes in the handling, storage, and delivery of DG cargo, where any significant lapse in following standard operating procedures (SOP) may lead to incidents/accidents among their employees. This research used a qualitative case study approach, where data was collected from interviewing the participants of the selected Malaysian DG warehouse, observations of workers’ activities on site, artefacts and signages pertaining to OHS issues as well as from accessing relevant company documents pertinent to the research questions. Notable findings from the study include prevalent display of leadership by example from the leadership ranks, compassionate leadership and a deeply ingrained family oriented leadership style. Interestingly, this study also found that the top leadership actively spearheaded the drive towards OHS issues, contrary to the expected stance of pushing the finance and economic agenda. To some extent, this study has contributed to the continued application of Process Enneagram in the field of leadership research in the OHS context within a Malaysian DG warehouse. This research also holds the implication that it is definitely possible to operate a DG warehouse safely, supported by a capable team of leaders with the right priorities, and sustain it as a viable business concern
Parents' Involvement in Early Childhood Education
Full text linkLAMIC countries would benefit substantially from early childhood education (ECE) programs because these programs assist disadvantaged children to achieve their full potential according to research findings. These educational programs continue to receive insufficient research regarding their effects on child mental health and comprehensive welfare development. Parents enable fundamental growth in their children during their early years. The involvement of parents brings enduring changes to their children's capability to learn. The correct stimulation of children during early childhood years from birth through age five leads to stronger academic performance in the future. The research examines how parents as well as instructors in Pakistani early childhood education and care institutions think about and interact with their roles. The research shows how parental influence affects government legislation because current policy development lacks adequate parental input
Exploring the Interplay between Environmental Leadership, Environmental Consciousness, and Environmental Awareness in Promoting Sustainable Entrepreneurship: Evidence from the Telecommunication Sector of Pakistan
Full text linkThis research investigates the interplay between Environmental Leadership (EL), Sustainable Entrepreneurship (SE), Environmental Consciousness (EC), and Environmental Awareness (EV) within the telecommunication sector of Pakistan. Utilizing Structural Equation Modelling (SEM) through Smart PLS, the study explores how EL influences SE
directly and indirectly through EC, and how EV moderates this relationship. Data collected from 90 professionals in the sector were analyzed to test the proposed hypotheses. Results indicate that EL positively impacts SE and EC, with EC mediating the EL-SE relationship. Additionally, EV was found to moderate the relationship between EL and SE, enhancing the positive effect of EL on SE when EV is high. The findings underscore integrating environmental consciousness and awareness into leadership strategies significance to foster sustainable entrepreneurship in the telecommunication sector
Moderating Role of Emotional Intelligence in the Relationship Between Despotic Leadership and Psychological Well-Being of Faculty Members in Pakistani Universities
Full text linkThe study investigates the impact of despotic leadership on the psychological well being (PWB) of faculty members in Higher Education Commission (HEC) recognized public and private sector universities in Pakistan. The research uses a parallel mediation model to examine job stress and cognitive distraction as mediators between despotic leadership and employee wellbeing. Emotional intelligence is examined as moderating amongst the influence of despotic leadership and other mediators, leading to psychological well-being. Data was collected from (N=419) faculty members across various universities and analyzed using SPSS and SMART PLS. The results indicated despotic leadership's significant direct and indirect effects through mediation cognitive distraction and job stress on psychological well-being, moderated by emotional intelligence. This study highlights the need for university-level administrations to consider emotional intelligence and leadership styles in their policies to mitigate job stress and cognitive distractions, thereby enhancing faculty well-being. Future research should explore other leadership styles and additional mediators in academic settings
The Application of Artificial Intelligence in English Language Teaching: Relationship between Knowledge, Attitude, and Practices among Filipino English as Second Language Teachers
Full text linkThis study examines the integration, potential, and implications of ChatGPT, an artificial intelligence, AI-powered chatbot, in the education field, with a particular focus on language instruction among Filipino English language teachers. As a groundbreaking example of generative AI, ChatGPT has sparked several controversies, particularly within academic communities where it is increasingly being utilized. This paper examines how ChatGPT could serve as a valuable tool for enhancing engagement and optimizing learning outcomes in educational settings, and for this study, in language instruction among Filipino English language teachers. A pilot test was conducted with 50 English language teachers to validate the investigation's instrument, ensuring their suitability for the main study. The main study involved 181 public school teachers from Zamboanga City, located in southern Philippines. The 181 respondents are drawn from a target population of 340 tenured secondary public school English language teachers. The validation and pilot testing process not only reinforced the instrument’s suitability but also provided a solid foundation for its application in the main study. The investigation addresses seven research questions, which includes three descriptive queries and four inferential questions accompanied by corresponding hypotheses. A descriptive-quantitative correlational research design is used, and the investigation employs a 39-item questionnaire to gather data. The findings reveal that many teachers possess a moderate level of familiarity with ChatGPT's basic functions; their attitudes toward the tool are largely positive. Usage patterns, however, varied significantly among respondents. Gender differences in knowledge, attitudes, and usage are found to be minimal. Notably, a moderate, statistically significant relationship was found between teachers’ knowledge of ChatGPT and their level of usage. Finally, the investigation discusses the implications of these findings and offers recommendations for integrating ChatGPT within the educational environment
A Multi-Criteria Decision-Making Approach for Targeted Distribution of Smart Indonesia Card (KIP) Scholarships
Full text linkEducation is fundamental to developing quality human resources, as stated in the 1945 Constitution. To support this goal, the Indonesian government introduced the Smart Indonesia Program through the KIP scholarship for students from underprivileged families. Recipient selection also involves various factors, including poverty indicators, social conditions, and academic performance. This study aims to develop a comprehensive decision-making model for KIP scholarship selection through four main stages. First, the poverty criteria were weighted using three approaches: the Analytical Hierarchy Process (AHP), Entropy, and the hybrid method, followed by a ranking process using the VIKOR method. Second, the clustering process was conducted to group the priorities of prospective scholarship recipients using the K-Means and K-Medoids methods, as well as a combination of PCA+K-Means and PCA+K-Medoids. Third, the classification of scholarship recipient eligibility was performed by comparing the C5.0 and K-Nearest Neighbors (KNN) algorithms. Fourth, the classification results were validated to ensure the accuracy and precision of the decision. The study found that the hybrid weighting model with λ = 0.8 (80% subjective and 20% objective) achieved a ranking stability of 61%, indicating improved accuracy and consistency in selecting KIP scholarship recipients. Sensitivity analysis showed that Hybrid+VIKOR had the lowest change (1.20%) compared to AHP+VIKOR (5.06%) and Entropy+VIKOR (53.71%), confirming its superior stability against weight variations. In the clustering stage, the combination of PCA+KMedoids with two initial medoids produced stable clusters in all iterations, suggesting that K-Medoids provided a better representation of data variation. Meanwhile, in the classification stage, the C5.0 algorithm achieved the highest accuracy of 97.27% from a total of 551 data points, with 80% used as training data and 20% as testing data. This study can be utilised to significantly improve decision-making by introducing opportunities for the development of stronger scientific methodologies and contributions, as well as broader practical relevance, especially in supporting transparent, fair, and data-driven scholarship selection processes. Moreover, the developed approach also had the potential to be applied in various other social policy contexts
Enhancing Consumer Purchase Intention in Pakistani Market: The Role of AI Personalization, Prediction Accuracy, and Real-Time Engagement
Full text linkThis study investigates the impact of AI-driven marketing strategies, specifically AI personalization, prediction accuracy, and real-time engagement, on consumer purchase intention. By integrating these variables into a unified framework, the study provides a comprehensive understanding of how AI technologies influence consumer behavior. The research adopts a quantitative design, utilizing survey data from 350 respondents who actively engage with digital marketing platforms. Structural equation modeling was employed to test the hypotheses, revealing that all three variables significantly enhance purchase intention. Prediction accuracy emerged as the strongest predictor, followed by personalization and real-time engagement. Furthermore, consumer trust was found to moderate these relationships, amplifying the positive effects of AI strategies. This study contributes to existing literature by addressing gaps in the combined effects of AI-driven strategies and highlighting the critical role of trust. The findings offer actionable insights for policymakers and businesses seeking to optimize AI applications in marketing. Practical implications include the need for trust-building measures, consumer-centric personalization, and accuracy-focused AI systems. By addressing these aspects, businesses can enhance consumer engagement, drive purchase intention, and foster sustainable growth in digital markets
Improving English in Riyadh Schools through Multimodal Learning and Student Engagement
Full text linkOne of the most important aspects of school is learning methodologies. However, a number of teaching methods have not changed over time in the Kingdom of Saudi Arabia (KSA),
impeding meaningful advancement. Few studies have been done on improving teaching strategies in Riyadh, especially in international schools at the upper secondary level. By assessing existing teaching strategies in English classes at the higher secondary level in Riyadh using metrics like student engagement and English competency, this study seeks to close that gap. Due to the lack of MLS use in Riyadh schools, the assessment's goal is to identify potential strengths and weaknesses of the current learning scenario in order to achieve the necessary improvement of English proficiency, which is connected to one of KSA Vision 2030 objectives in the education sector. Higher secondary teachers in Riyadh's international schools made up the study's population as a whole, and data was gathered using questionnaires. The study's research design is a correlational survey study using a quantitative research approach. For quantitative data, descriptive statistics were used. The results demonstrate that while MLS use increased students' interest, inventiveness, and involvement in English classes, its absence had a detrimental impact on their English competence. English teachers, educational planners, and textbook developers can incorporate several MLS modes because of this research's important significance in determining students' engagement and English competency
The Role of Authentic Leadership in Project Success: Exploring the Mediating Effect of Trust and the Moderating Influence of Charisma
Full text linkThe purpose of the study is to determine whether trust mediated the effect of authentic leadership on project success. Additionally, a moderator (leadership charisma) was also evaluated using a moderated mediation approach. To address the primary aims, to measure the project manager's authentic leadership style, trust, charisma, and project achievement in project-based organizations of developing countries a questionnaire-based survey was used. The analyses suggest that increases in levels of authentic leadership enhance trust among team members and eventually contribute massively to project success. The results also show that charisma shows a statistically significant influence on developing trust. Finally, the findings suggest that charisma has a moderating effect on the relationship
between authentic leadership dimensions and overall project success. The new method as suggested by Preacher and
Hayes “process” was used to study this impact, which would contribute to method advancement in variables testing
in the specific context of project management and leadership
Enhancing Decision-Making through Data Driven Approaches for Optimal Organisation Performance of Information Technology Companies in Sri Lanka
Full text linkThe study titled "Enhancing Decision-Making Through Data Driven Approaches for Optimal Organisation Performance of Information Technology Companies in Sri Lanka" investigates the critical role of data-driven approaches in improving organisational performance, emphasizing the need for a data-driven culture, data availability, and effective decision-making processes in today’s data-rich environment. Addressing the limited understanding of how these elements influence performance outcomes specifically within Sri Lanka's private sector IT context, the research evaluates the relationships among organisational performance, data-driven culture, data availability, and decision-making processes, with data quality as a moderating variable. Targeting approximately 120,000 IT executives across 300 companies, the study employs a quantitative approach grounded in deductive methodology, with data collected through structured surveys and analyzed using statistical techniques to test six hypotheses, all revealing strong correlations. The findings indicate that a robust data-driven culture, high data availability, and effective decision-making processes significantly enhance organisational performance, with data quality playing a crucial moderating role. In conclusion, the research underscores the importance of fostering a data-driven environment in private sector IT companies for optimal performance, recommending future studies to explore a broader range of variables, utilize advanced analytical methodologies, and integrate diverse theoretical perspectives to further enrich understanding of data-driven approaches in organisational contexts