Institutional-Repository, University of Moratuwa
Welcome to the University of Moratuwa Digital Repository, which houses postgraduate theses and dissertations, research articles presented at conferences by faculties and departments, university-published journal articles and research publications authored by academic staff. This online repository stores, preserves and distributes the University's scholarly work. This service allows University members to share their research with a larger audience.
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Recent Submissions
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Effect of training approaches on project performance and career success of employees in technology-driven services
(Business Research Unit (BRU), 2025) Wimalasuriya, H; Wickramasinghe, V
Training is an important determinant in improving project performance and employee career success in the rapidly changing Technology-Driven Services (TDS) sector. This research investigated the impact of various training approaches on project performance and employees’ career success, and the moderating role of organizational support. The Study followed a quantitative methodology and used a survey questionnaire to collect data from professionals attached to the TDS sector. The data was analyzed using SPSS software. The moderation analysis indicated that organizational support notably improves the relationship between training and both project performance and employees’ career success. This research contributes to the existing literature by offering empirical evidence and practical insights that can guide organizations in developing more effective training strategies to improve project efficiency and workforce capability. It concludes by recommending targeted training interventions supported by strong mentorship frameworks to ensure sustainable organizational success in a technology-driven landscape.
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AI-powered job matching system for job seekers and recruiters
(Business Research Unit (BRU), 2025) Uruthiran, P; Shibly, MSMS; Wattegedara, ND; Wijethunga, AMGTD
This study examines the development of an Intelligent Job Matching System (IJMS) using Laravel. Traditional recruitment methods often rely on manual keyword-based searches, leading to inefficient matches between job seekers and employers. This project aims to create a more effective system that extracts and analyses relevant information from CVs and job descriptions to improve job-candidate matching. The system integrates Optical Character Recognition (OCR) for text extraction from images and PDFs, enabling employers to upload job vacancies in various formats. A structured matching algorithm is implemented to ensure accurate job recommendations based on extracted details. To enhance flexibility, efficiency, and iterative improvements, the Agile methodology is followed throughout the development process. The system is designed with a user-friendly interface, guided by wireframes created in Figma, which include login pages, registration pages for both job seekers and employers, dashboards, and job posting functionalities. By automating job matching, reducing manual filtering, and streamlining the recruitment process, this system aims to significantly improve the job search experience for both job seekers and employers. Paragraphs and references are not allowed. Abbreviations can be used if they have been defined previously.
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Labour market and training needs analysis for the construction equipment technician sector in Sri Lanka
(Business Research Unit (BRU), 2025) Sivachelvy, U; Nimsara, KY; Maduwantha, S; Vithanaarachchi, HN; Wijekoon, GK
This needs assessment was conducted to inform the development of a Construction Equipment Technician Curriculum in Sri Lanka, in response to growing demands in the construction and power sectors. The study, based on a survey of 54 industry stakeholders, reveals significant skill gaps among technicians and highlights the urgent need for a structured vocational training program aligned with current industry standards. Key competencies identified as lacking include equipment maintenance, operation, safety protocols, diagnostics, and project management. Additionally, emerging needs, such as electrical systems, power generation, and sustainability practices, were also emphasized. The majority of respondents recognized vocational training as critical, with 57.4% rating it as extremely important. A hybrid model of training delivery was favored by 51.9% of participants, suggesting a need for both hands-on and flexible online learning options. The survey also revealed preferred training durations, with 38.9% supporting programs longer than one year. Barriers to participation included time constraints, cost, limited program availability, and lack of awareness. Eight core curriculum modules were recommended: fundamentals of construction equipment, maintenance and troubleshooting, hydraulics and pneumatics, electrical and electronic systems, safety standards, digital diagnostics, communication and teamwork, and internship opportunities. Respondents also stressed the value of soft skills, safety certifications, and leadership development.
Overall, the findings support the creation of a comprehensive, industry- responsive curriculum. Implementing such a program will bridge the existing skills gap, improve workforce readiness, and contribute to national development by strengthening Sri Lanka’s construction and power sectors.
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Performance of unionized employees under collective bargaining agreements: the role of HRM practices, employee and firm characteristics
(Business Research Unit (BRU), 2025) Karavita, KLB; Wickramasinghe, V
This paper presents findings of a study that investigated the determinants of performance of unionized shop-floor employees engaged in private sector firms operating with collective bargaining agreements in Sri Lanka. The specific objectives of the study were to investigate the effects of 1) HRM practices, 2) employee characteristics, and 3) firm characteristics on the performance of unionized shop-floor employees under collective bargaining agreements. The HRM practices under consideration were training, job security, employee empowerment, and employee relations. Age, gender, the duration of employment, the highest education qualification, and skill category were considered as employee characteristics, whereas firm size and firm age were considered as firm characteristics. Data were collected from unionized shop-floor employees attached to private sector firms that have active trade unions and maintain formal collective agreements. The results underscore a strong positive relationship between HRM practices and employee performance; training and employee relations practices had the strongest effects. Further, the years of business operation had a significant effect on employee performance. However, the effect of employee characteristics was not significant. The effect of firm size was also not significant. The findings have important implications for HRM professionals and business leaders working in unionized work environments.
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Analytics-led digital internship management platform for industry-university collaboration
(Business Research Unit (BRU), 2025) Ekanayake, HGNK; Buhari, MM; Wijesekara, M
Internship training is a key tool in bridging theoretical knowledge and the industry applications and expectations. While commercially available job matching platforms serve the needs of employment seekers and job providers, a paucity is seen in facilitating a similar need for internship training. Anchored on the Learning Analytics Framework, the proposed research application, referred to hereafter as InternNexus, aims to provide a practical model of a digital internship management platform for analytics-based decision making by transforming the internship experience into a structured, transparent, and efficient process. By being into action research, the proposed prototype in this study suggests creating profiles demonstrating applicants’ academic background and other qualifications, allowing them to match their interests to training opportunities, track applications in real-time, and receive personalized recommendations. Meanwhile, the employers post the internship vacancies, manage candidates, and make offers directly through the platform, while the university administration can verify internship status, monitor student progress, and review the entire process of the internship. The technological architecture used in this research are ReactJS for a responsive frontend interface, NodeJS, and ExpressJS for a scalable backend framework supported by MongoDB's flexible document-oriented database technologies. Due to its exceptional performance in handling real-time data exchanges, MongoDB was selected to support cross-platform compatibility that is essential for connecting diverse stakeholders. The users of this system are students who seek internship opportunities, companies looking for trainees, and the educational institutes monitoring and analyzing student performance during their industrial training. Theoretically, the research advances the Learning Analytics Framework to the action research domain, and its practical contribution can be extended beyond the immediate implementation to a government-sponsored centralized platform to streamline industrial training of students, especially at the university level, to accelerate the timely completion of degree programs and to produce well-trained graduates. This action research opens the possibilities of widening theoretical models for immediate value-generating software development projects for the education sector to yield the paybacks of action research in computing.