MSc in Information Management

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/4071

Students enrolled in the MSc in Information Management programme are required to complete a thesis as part of fulfilling their academic requirements. This collection includes merit-based theses submitted by postgraduate candidates specialising in Information Management. Abstracts are available for public viewing, while the full texts can be accessed on-site within the library.

CC BY-NC-ND 4.0 License

Theses and Dissertations of the Sri Lanka Institute of Information Technology (SLIIT) are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License .

Browse

Now showing 1 - 20 of 32

Embargo
Adoption of Digital Government Technologies by the Government Organizations in Sri Lanka
(2021) Mudalige, Mudalige
Moving towards Digital Government is vital for any country as it enhance the citizens’ trust towards the government through transparency in activities by applying good governance principles. As a developing nation, Sri Lanka has already moved forward from E-Government to Digital Government geared up with strengthening Digital Government policies. Government organizations are the focal point of Digital Government. For the nation to be successful in Digital Government the adoption of the Digital Government Technologies by the government organizations is vital. This study will present an assessment model to figure out the adoption level of Sri Lankan government organizations towards the Digital Government Technologies. In developing this model few existing Digital Governments in the world are studied and analyzed in depth and many inputs will be taken from these existing country specific new dimensions in assessing the adoption of the Digital Government Technologies in the Government Organizations.
Open Access
AI-Powered Fashion Trend Prediction: A Conceptual Framework and Comparative Analysis Using Social Media and Historical Data
(Sri Lanka Institute of Information Technology, 2025-12) De Noyel, K.T.S.P.
Fashion trend prediction is a complex process influenced by various factors have a role to play in. With emphasis on data observation and collection within an industry, interest in predicting trends using artificial intelligence (AI) has intensified over time. This paper outlines a theoretical framework of an AI-driven fashion trend prediction system that combines past sales data and social media posts. The model aims to use natural language processing (NLP) to explore Instagram, Facebook, fashion forums, and other fashion-related social media platforms to process information to capture the realtime opinion of the masses and identify trends. [1] At the same time, historical sales performance data, including products sold during seasons, subsequent years, purchasing behavior over time, and other consumer and market trends, assist in predicting demand in the marketplace. [2] The suggested framework describes how AI algorithms, especially machine learning and deep learning models can be used to these two complementary data sources to create actionable insights. When these datasets are combined, fashion trends are forecasted with more accuracy. This will assist brands and retailers in making proactive decisions regarding product and marketing strategies alongside inventory control. In particular, the paper underscores the conceptual architecture of the AI system, explaining the fundamental aspects of forecasting trends, consolidating data, and computation through an algorithm. This forms the basis of other studies that seek to apply AI Systems in forecasting the fashion industry trends while at the same time waiting to see the deployment of such systems. In addition, the challenges alongside ethical implications as well as opportunities for further development within this context strive to reduce the existing gap between fashion business practices and data science are provided.
Embargo
AI-Powered Language Learning Systems: A Study on Personalized Learning for Foreign Language Learners
(2025-12) Jayasekara, E.J.K.P.S.P.
Artificial Intelligence (AI) is increasingly transforming the field of education, with personalized learning emerging as one of its most impactful applications. This study investigates the role of AI-powered personalized learning systems in supporting beginner-level foreign language learners. The research was motivated by the challenges beginners face in traditional learning environments, such as limited practice opportunities, delayed feedback, and lack of adaptive content. A quantitative survey was conducted with 173 participants engaged in learning German, French, or Japanese using AI-based platforms. The study examined learner demographics, perceptions, effectiveness of personalization, and associated challenges. The conceptual framework positioned AI-powered personalization as the independent variable, learner engagement and competency as mediators, and learning outcomes—measured in terms of retention, motivation, and performance—as dependent variables. The findings reveal that AI personalization has a significant positive effect on both learner engagement and competency, which in turn are strongly associated with improved learning outcomes. Mediation analysis confirms that engagement and competency jointly strengthen the link between personalization and outcomes. While most learners perceived AI tools as engaging and motivating, concerns were raised about technical reliability, privacy, and over-adaptation of content. The study concludes that AI-powered personalization enhances early-stage language acquisition but requires careful refinement to address ethical and technical limitations. Recommendations are provided for educators, developers, and institutions to integrate AI as a supplementary tool while maintaining safeguards around learner data and pedagogical balance.
Open Access
Analyse the barriers to use Web-based Content Management Systems (CMS) in Sri Lankan IT Organizationsx`
(2018) Kuruwitaarachchi, Nuwan
The content management system is single software or combination of interrelated programs used to build and handle digital content. The early days' static websites were able to assure customer needs. Even th ugh due to technology enhancement, change of customer requirements and buying p tterns static websites have been obsolete and unable to fulfil customer requirements Therefore, organizations needed more interactive websites to establish the business. Nowadays the general public has a tendency to move to online buying since it has numerous advantages. Hence an organization needs to organize and manage the huge amount of d ta properly. Consequently, the requirement of a web content management system increasing e ormously. In traditional web development HTML, ASP.NET, PHP, Java scripts, etc. were used to develop websites. This needs high expertise. Consequently, the cost rises up an finding the expertise knowledge is challenging as well. Another negative aspect in tra itional web development is requirement of high development time. Further, in trad tional web development modifications require more time too. On the other hand, Web-CM,' is capable to store a massive quantity of data. Therefore, some companies have already mov d and some are trying to move to Web-CMS. Another benefit is Web-CMS does not need expertise. Besides, development takes lesser time, lesser cost and also it has a huge variety of features. Even though there are some barriers to move to Web-CMS such as Unstructured ata + High time consumption for data migration, Requirement of high effort/skill labour for data migration, Undesirability to accept changes, Fear of obsolesce, Security in CMS. ince today organizations use sensitive data such as health details, credit card details high s curity is a must. Currently in Sri Lanka using CMS has becoming popular and some organ zations are migrating to Web-CMS. Recently Joomla CMS based website was introduced for making appointments for PHM (Public Health Midwife) who is in charge of maternal haith, infant health, and planned parenthood. This wei;'~ased booking system supports trilingual which negated the language barrier. The target of the research is to identify the factors obstruct the migration from traditional web development to Web-CMS. IT companies in Sri Lanka were chosen for the research.
Open Access
Analyzing the Impact of Key Factors on the Likelihood of Cash-on-Delivery Parcel Returns: A Seller’s Perspective in Sri Lankan E-Commerce
(Sri Lanka Institute of Information Technology, 2025-09) Panditharathna, S.M. V
Cash-on-Delivery (COD) remains the dominant payment method in Sri Lankan e-commerce, but it generates disproportionately high return rates compared to prepaid orders. Returned COD parcels impose dual costs on sellers, who must absorb forward delivery fees even when the order is refused, while also incurring inventory, administrative, and reconciliation burdens. Despite the prevalence of COD, there is little structured research that distinguishes between seller-, courier-, and buyer-related drivers of returns in this context. The purpose of this study is to develop and validate a predictive framework that estimates the likelihood of COD parcel returns from the seller’s perspective, and to identify operational levers that can reduce such returns. Three independent constructs are examined: Seller’s Operational Quality, Courier Service Delivery Performance, and Buyer Acceptance Behavior at Delivery. Each construct is operationalized using seller-perspective indicators over a fixed 90-day recall window and measured on a five-point Likert scale. Data were collected through a structured survey of active Sri Lankan e-commerce sellers using purposive sampling, with analysis conducted via Partial Least Squares Structural Equation Modelling (PLS-SEM). The results demonstrate that all three constructs significantly influence the likelihood of COD returns, with courier performance and buyer acceptance behaviors exerting the strongest predictive effects. Findings highlight the critical importance of first-attempt delivery success, pre-shipment accuracy, and effective communication in minimizing return rates. This research contributes a context-specific framework for understanding COD returns in Sri Lanka, offering actionable insights for sellers, courier firms, and policymakers seeking to enhance e-commerce sustainability.
Embargo
An Approach to Remodel the Fast Moving Consumer Goods Distribution in Sri Lanka
(2021) Etipola, R. M. B
The Fast Moving Consumer Goods selling industry is one of the most profitable and sustainable businesses in the world. Specially, considering the south Asian region and the current Sri Lankan context, the FMCG product redistribution is identified as a process which is broadly decentralized and performed with many complexities which are yet to be addressed for a better outcome from the business. Current issues in managing people, handling quickly altered inventories, having up to date but secured sales data and having the accurate set of master data in hand to conduct the business has become very challenging for the top leadership. The possible revenue losses due to the lack of best practices in the above highlighted areas are identified as very high. During this research a study was conducted to do a detailed study on the current Sri Lankan FMCG redistribution business and the working models. The outcome of the intended existing business model study has helped the researcher to identify the problems in each segment in the current business and then to propose a new business model which has been proven with tested results on its success. Finally, the intention of this research was to introduce a new business model for Sri Lankan FMCG driven industries which can be easily adopted and be practiced for a better outcome from their businesses than before
Open Access
Assessing the Viability of a Vendor-Driven Framework for Food Waste Management in Sri Lanka
(Sri Lanka Institute of Information Technology, 2025-11) Thivithma, A.V
Food waste is a pressing global and local issue, with substantial economic, environmental, and social costs. In Sri Lanka, more than 42% of food waste in urban areas originates from restaurants, markets, and slaughterhouses, while expired supermarket products contribute further to the problem. These losses translate not only into financial burdens but also reputational risks for businesses. Globally, the cost of food waste is estimated at USD 1 trillion annually; a reduction of even 25% could feed 870 million people. Against this backdrop, innovative solutions such as digital platforms have gained prominence. Inspired by the internationally successful "Too Good To Go" app, this study explores the feasibility of introducing a vendor-focused digital solution for food waste reduction in Sri Lanka. Using a sample of 220 food vendors (restaurants, hotels, bakeries, supermarkets, and grocery shops), the study investigates vendor perspectives across critical independent variables: economic incentives, technological accessibility, trust and food safety, public image, government support, customer demand, logistics, religious and dietary preferences, and transaction methods. A conceptual framework with six dependent dimensions—Vendor Adoption, Quick Match, Vendor Profitability, Waste Saved, Fair Access, and Stay Strong, was developed. Findings reveal strong vendor interest, with economic incentives, public image, logistics, and government support emerging as dominant drivers of adoption. Context-specific factors such as tri-lingual support, religious labeling, and COD payment options were identified as essential for inclusivity. The study proposes a vendor-driven framework tailored to Sri Lanka, aligning with national waste policies and the Clean Sri Lanka Initiative. This thesis contributes to both theory and practice by providing a structured, evidence-based model for digital food waste management in developing contexts.
Open Access
Challenges associated with the adoption of agile project management practices for software development
(2018) Nadarajah, Nadarajah
While human dependence on software continues to rise at a rapid pace, the demand for software itself surpasses the human ability to produce it despite massive advancements in the software engineering discipline. The emergence of Agile methodologies: a modern version of the traditional methodologies, have proven to significantly contribute towards increased software project success rate . This study presents the results of a survey study for determining factors that challenge adoption of agile project management methodologies for software developme t within the context of Srilankan software development projects thus also presents recommendations to ensure successful agile adoption. The survey was conducted among professionals who practice agile methods and who had experience practicing traditional (plan-based) software development approaches in t e past, or professionals who were currently working on the transformation from traditional to agile-based approaches. A web survey was employed to gather responses, collecting data from 59 Agile professionals in Sri Lanka. The findings support only 2 out of the 7 hypotheses, revealing two challenging factors for the adoption of agile methodologies in Srilankan software development projects. The findings of this ~~ research help professionals identify factors that challenge agile doption in Srilankan software development projects, and urges them to address these challenges in order to ensure successful agile adoption. Agile adoption improves project success rates and leads to an increase in the growth rate of t e Srilankan IT/BPM industry, ultimately contributing to the economic growth of the country. Limitations of this study are also discussed along with directions for fut re research in this domain.
Embargo
Computer Vision Based Recognition of the Corresponding Sinhala Word from Continuous Finger Spelled Signs
(2021) Wijesinghe, W.A.U.D
Sign language is the main communication method of deaf people. There are many sign languages used by the deaf people around the world to communicate. Sri Lankan Sign Language is the sign language used by the deaf community in Sri Lanka. According to the information collected through Census of Population and Housing-2012 report, the deaf population in Sri Lanka is 389,077 by 2012[26]. The ratio is 21 per 1000 people [26]. Also, according to the Sri Lanka Central Federation of the Deaf there are only 12 recognized sign language interpreters in Sri Lanka. One of the major problems facing the deaf community in Sri Lanka is the difficulty in communicating directly with the general public as very few ordinary people can understand the sign language. Therefore, deaf people should get an assistance of a trained sign language interpreter to communicate effectively with normal hearing people. It is expensive to hire trained sign language interpreters and there are few such interpreters in Sri Lanka. If there is a method that the deaf people can communicate directly with the general public without the help of a sign language interpreter then they can overcome many difficulties that they are facing in various fields, particularly in education. One of the solutions for this problem is automating the recognition of sign language. Although there are some research works available in Sri Lanka on recognition of the static signs of Sri Lankan sign language, there are no existing works to recognize the corresponding word from continuously signed fingerspelling sequence. Also, there are some research works have been published on constructing datasets for various sign languages around the world, but there is no signing dataset in video format for Sinhala Sign Alphabet. The purpose of this study is to design and implement a system to recognize the corresponding Sinhala word and numbers expressed using a continuous sequence of Sinhala sign alphabets. Words and numbers will be identified from a video clip. The other main outcome is to construct a signing dataset for Sinhala Sign alphabet in video format. Findings and the outcomes of this research will be beneficial for the deaf and hearing impaired community in Sri Lanka. Also, the end results of this research would be useful to those who wish to develop various systems to improve communication between deaf people and normal people. Furthermore, the results of this research would help to improve the interaction between deaf people and computer systems.
Embargo
Decision support model for new employee engagement for QA engineer position in IT institution using multifactor evaluation process and weighted product model
(2021) Chandrasekara, C.A.H.M.Y.S.
In this paper explains about recruitment of best QA engineers in a IT institution. Quality Assurance in Software Testing is defined as a procedure to ensure the quality of software products or services provided to the customers by an organization.Quality assurance helps a company meet its clients' demands and expectations.It saves costs and fixes issues before problems become larger, and it helps to set and maintain quality standards by preventing problems to begin with. Depend on the performance of the QA engineer’s institution can be grow or down. Therefore, hiring a best candidate for this role is more important. Most of the time selection process is done my manually. It can be more time consuming and difficult. By one mistake of recruitment team institution can be at risk. Therefore a decision support system is needed to help the selection of hiring new QA engineers. Actually decision making efficiently and effectively is not easy.To improve the accuracy of the result chosen MFEP and WP methods. Weighted Product Methods (WP) used in this study for the processing of data as this method is considered more efficient and have a shorter time needed in a calculation. Wp is an attempt to one alternative outranking the other alternative Wp method is used as one solution in the case of acceptance of new employees for such methods to evaluate several alternatives for a set of attributes or criteria where each attribute is not interdependent with each other.multifactor Evaluation Process (MFEP) method was chosen because the MEFP method gives subjective and objective consideration to the factors that are considered important. Considerations for Weighting System on multifactors are involved and considered important.
Embargo
Determinants of Technology Adoption and Its Effect on Service Efficiency and Customer Retention in the Beauty and Aesthetic Services Sector
(Sri Lanka Institute of Information Technology, 2025-12) Dharmarathna S.H.H.K
Digital transformation has significantly reshaped the service sector, with digital appointment scheduling systems emerging as critical tools for improving efficiency and customer engagement. In the beauty and aesthetic service sector, where service quality, operational smoothness, and client satisfaction are vital, the adoption of such technologies offers the potential to reduce waiting times, minimize scheduling conflicts, and enhance overall customer experience. However, adoption rates vary across organizations due to differences in organizational readiness, user perceptions, and contextual challenges. This study aims to develop and validate a model of the determinants of digital appointment system adoption within the Sri Lankan beauty and aesthetic service sector. Grounded in the Technology Acceptance Model (TAM) and technology adoption literature, the research identifies five independent variables—Service Efficiency, Customer Satisfaction, Organizational & Technical Readiness, Perceived Usefulness, and Perceived Ease of Use—as influencing adoption. The dependent variable is Adoption of Digital Appointment Systems (DASA), while moderating factors such as firm size and role (owner vs employee) are also considered. A quantitative research design was employed, using a structured survey distributed among employees and owners of beauty and aesthetic service centers. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS. The study evaluates measurement reliability and validity, followed by hypothesis testing of the structural model. Findings are expected to contribute both theoretically and practically by clarifying the key determinants of technology adoption in service industries, while also offering recommendations to managers, practitioners, and policymakers on fostering digital adoption in beauty and aesthetic services.
Open Access
Development of a Non-Invasive Algorithm for Anemia Detection in Women in Sri Lanka
(SLIIT, 2024-12) Senanayake, W.I.U
Anemia continues to be a considerable health issue for women in Sri Lanka, impacting physical and cognitive growth, general health, and economic efficiency. Diagnostic methods, like blood tests, are invasive, time-consuming, and could be out of reach for populations with limited resources. A non-invasive algorithm is created to detect anemia in Sri Lankan women in this thesis. The algorithm utilizes readily available clinical and demographic information to decrease reliance on conventional blood tests. According to that ―Development of a Non-Invasive Algorithm for Anemia Detection in Women in Sri Lanka‖ entitled as the research title of this thesis. The research involves data collection from women across varied demographics and regions, combined with vital health parameters and physical indicators relevant to anemia detection. Advanced machine learning models are trained on this data to identify patterns associated with anemia, offering accurate predictions without the need for invasive procedures. A core aim of the study is to enhance early detection, enabling timely intervention and reducing the overall prevalence of anemia among women. The high sensitivity rate of the algorithm allows for effective anemia detection with minimal input data, according to key findings. Furthermore, its non-invasive characteristics make it appropriate for application in rural regions where healthcare resources are scarce. The system successfully provides a non-invasive, accurate, and accessible method for anemia detection, using fingertip imaging and machine learning to predict anemia in real-time. With a compact device integrated into a web app, users can monitor their health easily, while healthcare providers can remotely access patient data for timely interventions. The system’s cost-effectiveness and ease of use make it particularly valuable for resource-limited settings, offering a scalable solution for anemia management and broader public health impact.
Embargo
Emerging Technologies and their Influence on User Satisfaction in Mobile Banking Apps
(SLIIT, 2024-12) Wickramasekera, T N
This thesis investigates the impact of emerging technologies—Augmented Reality (AR), Biometric Authentication, Artificial Intelligence (AI), and the Internet of Things (IoT)—on user satisfaction within mobile banking applications. Using the Technology Acceptance Model (TAM) as a conceptual framework, the study examines how these technologies influence key TAM variables, specifically Perceived Usefulness (PU) and Perceived Ease of Use (PEOU), to ultimately shape user satisfaction. The research collected data through a structured questionnaire, capturing users' perceptions of each technology’s contribution to their mobile banking experience. Findings indicate that these technologies significantly enhance PU and PEOU, indirectly fostering greater user satisfaction. Specifically, AR and AI were found to improve both PU and PEOU by offering more intuitive and responsive interactions. Biometric Authentication simplified access and increased trust, while IoT expanded the accessibility and functionality of mobile banking. This study contributes to mobile banking literature by integrating multiple technologies within a single TAM-based framework, demonstrating that modern technological features can act as pathways to enhance user experience. Practical implications suggest that mobile banking providers can benefit from incorporating these technologies to create more user-friendly, secure, and personalized apps. In conclusion, as mobile banking continues to evolve, leveraging these innovations is essential to meet the demands of today’s digital-savvy consumers, offering insights for future developments in mobile banking technology.
Embargo
An Empirical Evaluation of SQA Practices and Their Effectiveness in Sri Lankan Software Industry
(2021) Weerakoon, H.M.K.
Quality Assurance (QA) refers to the planned activities carried out in a system, so that quality requirements for a product or service will be fulfilled. It is the systematic measurement, comparison with standards, analyzing processes and associated feedbacks focusing on high level of accuracy. Quality assurance in software is a highly demanding and an emerging area effecting to the success or failure of a software project critically, hence an integral part of project management. The importance of sustaining a positive quality assurance is highly determined by the fact that it builds a proactive management system that reduces the rework amount, leading to low cost and improve productivity. Software Quality Assurance (SQA) domain deals with the quality principles in software engineering development processes. It defines and measures the outputs at different stages of software development process quantifying the quality in terms of defects. In Sri Lanka software industry is the fifth largest job category according to 2019 ICT Workforce survey by the Information and Communication Technology Agency (ICTA). The objectives of this study are achieved by gathering data by consultation with IT professionals; developers, QA engineers, project managers and analyze them by the use of various statistical techniques such as, percentage analysis, chi-squared analysis and correlation analysis presenting results in suitable hypothesis and relevant interpretation. The purpose of this empirical evaluation is to explore different SQA practices across a range of IT organizations in Sri Lanka aiming to help these organizations to identify what approaches in eliminating bugs are effective and support finetuning their QA strategies in software development projects by focusing on few of important areas, such as, software testing, quantitative project management, etc. while bridging the gaps identified in various areas of project management relating to software development.
Open Access
Evaluating the Efficiency and Effectiveness Of Payment Card Industry Data Security Standard [PCI DSS] In Preventing Payment Card Data Breaches.
(SLIIT, 2025-12) Batugedara, S.D.
This paper addresses the growing challenge faced by merchants dealing with credit card transactions which are known to be payment card data breaches and efficiency and effectiveness of payment card industry data security standards. The Payment Card Industry Data Security Standard (PCI DSS) is a critical framework designed to protect cardholder data and mitigate the risks associated with payment card data breaches. However, despite widespread adoption, the efficiency and effectiveness of PCI DSS in preventing data breaches remains areas of ongoing debate. This study evaluates PCI DSS's role in safeguarding payment card information, focusing on its operational efficiency and ability to prevent breaches effectively. Very few studies were carried out to evaluate the efficiency and effectiveness of PCI DSS in preventing payment card data breaches. To address this gap, this study will analyze the data on factors affecting the efficiency and effectiveness of PCI DSS in preventing payment card data breaches. A comprehensive questionnaire was conducted across multiple financial institutions to gather data from security experts on pertinent factors affecting the efficiency and effectiveness of Payment Card Industry Data Security Standard (PCI DSS). This data was meticulously analyzed through a structured analysis using SmartPLS to gauge the effectiveness and efficiency of PCI DSS in thwarting payment card data breaches. The success factors of PCI DSS in preventing data breaches considered in this study are network and system security, data protection, access and identity management, and monitoring and governance. The iv findings revealed that the efficiency and effectiveness of PCI DSS in preventing data breaches is critically contingent on these factors. With a statistical significance level set below 0.05, the study highlights how adherence to PCI DSS protocols, combined with robust security practices, substantially enhances data protection. This research offers profound insights into refining PCI DSS frameworks and supports the enhancement of security measures to boost the safeguarding of payment card information and prevent data breaches. Also, as the recommendations, after exploring factors affecting the efficiency and effectiveness of PCI DSS in preventing payment card data breaches, the challenges of PCI DSS implementation, asses the applicability and suitability of related security and audit frameworks and proposes recommendations by observing the results and by using the frameworks such as COBIT, ITIL, and ISO 27002 for robust data and information protection. Ultimately, the study underscores the need for continuous improvement in compliance strategies to address evolving security threats effectively.
Open Access
Evaluation of Infrastructure as Code (IaC) Approaches for Automated Provisioning and Configuring of IoT Devices in Smart Factory Environments
(SLIIT, 2024-12) Weerasekara, W. K. N.
The Internet of Things (IoT) area is gaining with time and predictions are showing that Industrial IoT (IIoT) will gain more and more in the future. Here this research was done to find out the best Infrastructure as Code (IaC) tool from model-driven, Terraform and code-centric Ansible for automatic configuring and provisioning IoT devices in large-scale IIoT systems such as automated factory environments. This research has shown the use of IaC within IIoT to automatically provision and configure components of the IIoT system alongside improving productivity, less human involvement in provisioning and configuring components, minimising the errors in device provisioning, costeffectiveness with increased portability and maintainability of the large scale IIoT system with the benefit of the IaC. Furthermore, the research assessed Terraform and Ansible by analysing the elapsed time, resource utilisation, scalability, and error rate, in provisioning and configuring as well as reconfiguring using a prototyped simulated environment for a factory. Also, the research is contributing to the design and development of a cross-platform IaC script generation and execution application including the monitoring capabilities. This tool is named “KFactory Device Provisioner and Configurator”. This application allows to generation of IaC provisioning scripts and executes those with monitoring capabilities as users’ need via a Graphical User Interface (GUI). The tool also has a system monitoring tool that is very helpful to view the variation of CPU usage, Memory usage and inbound-outbound Network usages in a GUI. Furthermore, the tool also collects the provision data to create a Machine Learning (ML) model to predict and show the expected provisioning time, reconfiguring time, CPU, Memory and Network inbound and outbound usages according to the scale of the provisioning tasks based on the host system’s capabilities. Moreover, with the conclusion of this research, the researchers are encouraged to come up with a fine-tuned, production-grade IaC solution for automatic provisioning and configuring IoT devices in large-scale IIoT systems with reduced deployment time, optimized resource utilizations, having scalability, having low error rate, and reduced reconfiguring time.
Open Access
Examining the Role of Technology Integration in Advancing Educational Opportunities
(SLIIT, 2024-12) Bandara, H.M.H.S.K.W.
The integration of technology in education has emerged as a transformative force, reshaping traditional teaching and learning paradigms across all levels of schooling. This study examines the relationship between technology integration and specific educational outcomes, including student achievement, engagement, and skill development in higher education settings. The research addresses the gap between theoretical models of technology integration and their practical implementation in educational contexts. Through a comprehensive literature review and analysis of existing research, this study investigates key factors contributing to successful technology integration and their influence on educational outcomes. The research draws upon established theories such as Social Cognitive Theory and the Technology Acceptance Model to provide a theoretical foundation for understanding technology adoption in educational settings. The study's significance lies in its potential to inform evidence-based strategies for leveraging technology to enhance learning experiences and outcomes. It aims to provide insights for policymakers, educators, and educational technology developers to make informed decisions regarding resource allocation, professional development, and the design of educational tools. Key findings highlight the importance of factors such as teacher training, institutional support, and infrastructure in successful technology integration. The research also addresses challenges related to equity and access, emphasizing the need for strategies to overcome the digital divide and provide technology-enhanced learning opportunities to all students. This study contributes to the growing body of knowledge on educational technology and offers practical implications for improving technology integration in higher education. By synthesizing current research and identifying trends and gaps, this work lays the groundwork for future investigations into the rapidly evolving field of educational technology.
Embargo
Factors Affecting the Usage of Information and Communications Technology for Inhouse Training Programmes of Sri Lankan Industrial Sector
(2021) Abayagunawardana, S. D.
The objective of this research is to identify the factors affecting the Information and Communications Technology usage for industrial sector in-house training. Both literature and selfidentified factors are defined and analysed using responses from the training centre managers, its trainers, and trainees. This study found that five primary factors affect the ICT usage for industrial in-house training in Sri Lanka namely lack of funding, special ICT infrastructure requirement, lack of ICT skills in maintenance staff, high trainee population and lack of ICT equipment awareness among trainees. Moreover, lack of ICT strategy, lack of ICT policies and lack of ICT equipment awareness among trainers are also identified factors but they are making only minor impact on ICT usage in industrial in-house training in Sri Lanka. Further it was found that the improvement of trainees’ knowledge and skills on industrial operations depends on organisations’ capability on procuring and maintaining modern ICT facilities, releasing staff for training and trainers’ knowledge on ICT usage. Trainees’ knowledge on specific ICT equipment usage does not affect their learning process since majority of the trainees are represented by younger generation where they possess the ability of handling ICT facilities without organised training
Open Access
Identify and Evaluate Factors Affecting Good Agriculture Practice Farmers to Sell Their Products Directly in Sri Lanka
(2018) Wakista, S.E.
Diffusion of information communication technologies in remote areas of Sri Lanka is playing an important role for the improvement of agriculture activities. Today it can be emphasized that technology is becoming affordable in Sri Lanka and people who wish to acquire it can do so including low income segment of farmers. Farmers can communicate using these devices to get a good price for their produce from buyers on real time basis. Mobile service providers provide smartphones with bundled tariff packages to the customers where one can pay the monthly bill with commitments for a defined period as instalrnents. Few mobile based information dissemination systems (Mobile Apps) are available in Sri Lanka. The mechanism proposed in this research is to make sure best market price for farmers with the use of existing and advancing K'T applications. The main objectives of this study were to 1.) Identify the factors hindering the GAP farmers to sell their products directly. 2.) Evaluate most significant factors which are affecting the direct sale. 3.) Suggest a solution to facilitate GAP farmers to sell produce directly in the market, focusing on factors that affect by analysing the results arising from the survey. Literature review based on the investment capacity 0' farmers, literacy levels, access to market information, finding buyers, technology usage in rural ~~ area and awareness of farmers to avoid the difficulties that would be enco ntered by the farmers possibly with market players like so-called middleman. The expected plan under the proposal is to obtain the information of their produces from GA farmers using quantitative research method, to analyse the data collected and to decide a reasonable price for the produce
Open Access
Impact Of Adopting Microservices Architecture & Containerization Technologies
(SLIIT, 2024-12) Bandusena, L.R
The adoption of microservices architecture and containerization technologies has transformed the software development landscape, enabling organizations to achieve greater agility, scalability, and resilience in their systems. This thesis examines the motivations behind the adoption of these technologies, the challenges faced during implementation, and the strategies employed to overcome them. By analyzing case studies, industry reports, and survey data from professionals across diverse domains, the study identifies the key drivers such as flexibility, rapid deployment, and cost-efficiency. The research also highlights critical obstacles, including the complexities of managing distributed systems, the cultural shift to DevOps, and the need for enhanced technical expertise. Furthermore, this work proposes actionable frameworks and best practices to facilitate successful adoption, including the integration of automation tools, effective training programs, and robust security measures. The findings of this research contribute to a deeper understanding of the transformative potential of microservices and containerization, offering valuable insights to organizations aiming to harness these technologies for sustainable growth and innovation.