Research Papers - Dept of Information of Management

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Open Access
ACADEMIC SUCCESS OF PERSONS WITH VISUAL IMPAIRMENT AND BLINDNESS IN THE TERTIARY SECTOR: EXPLANATORY MODEL
(Available on-line at: www.oapub.org/edu, 2022-01-14) Suraweera, T; Bandara, S; Wickramarachchi, C; Dewage, N; Gunawardana, T; Nanayakkara, N; Yapa, E; Thelijjagoda, S; Jayathilaka, R
Ensuring universal access to education is an effective and sustainable means of empowering people with visual impairment and blindness. Literature confirms that blindness of a person is not a barrier for learning, yet past research brings about a range of diverse obstacles for productive engagement in education due to universities being designed for the sighted persons. Given that the persons with impairment are looked after comparatively better in the western world than in the developing nations for realising their challenging academic goals. Purpose of this paper is to present the findings of a comprehensive study on the academic work of persons with visual impairment and blindness in the tertiary sector. This population included recent undergraduates and those who have completed a university degree. The two distinct outcomes presented are; (first phase) the critical factors influencing the academic performance of persons with visually impairment and blindness and, (second phase) an explanatory model that characterizes the construct ‘the academic performance’. Using a semi-structured questionnaire, purposely selected eleven key informant interviews were utilized for the first phase for the qualitative investigation. Thematic analysis was used as the main method of data analysis. The Second phase employed a sample survey. Fifty respondents who had studied in universities during the 5-year period from 2015-2020 were selected through snow-ball sampling. Exploratory factor analysis was used as the main data analysis technique. The key findings of phase one revealed that external support, physical environment, motivation to learn, instructional strategies, ICT and English literacy are major contributory factors to academic performance. The second phase of the quantitative analysis derived five composite factors. Of these, the factor labeled “Motivating influences” appears to be mostly contributing to the academic performance of persons with visual impairment and blindness. While education is a lifelong endeavor of a person, these findings can contribute to make a substantial change in the quality of life of this community in the long run.
Open Access
Achieving zero hunger: A global policy lens on food security drivers and income group disparities
(Elsevier B.V., 2026-01-19) Pulle, N; Sampath, P; Perera, S; Wijayaweera, D; Jayathilaka, R
Many countries struggle to meet their daily dietary requirements despite numerous attempts to address the existing demand. Consequently, this study collectively analyses the impact of urbanisation, renewable energy, greenhouse gas emissions, population growth, gross domestic product per capita and agricultural land on food production relying on Sen’s Entitlement Theory, thus providing insights to resolve the long-standing issue of food insecurity, and support the achievement of the Sustainable Development Goals. The study utilises a stepwise panel ordered Probit model on 146 countries, for the years 1993 to 2023. It further categorises the food production index into three categories of food security as; low, moderate and high, thereby enabling discussion of the likelihood of a country falling into one of the aforementioned food security categories over the years. Urbanisation, agricultural land, and the dummy variables introduced to represent the income groups have been identified to have a significant and favourable relationship with the food production index. In contrast, the greenhouse gas emissions and renewable energy variables have a significantly inverse impact on the food production index. This makes a unique contribution to the existing body of literature, especially by comparing odds over the years, across different food secure categories, countries, and their specific income levels. This study enables policymakers to gain a comprehensive historical perspective on each case. This study further promotes the Sustainable Development Goals, highlighting areas where these goals have been negatively impacted. Additionally, the study discusses optimised investment allocations, agricultural research and development, agricultural technology, climate resilient farming, and sustainable urbanisation planning as solutions for extreme cases
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Addressing Child Labour in SAARC: The Synergy of Education, Health and Economic Growth Towards SDGs
(John Wiley and Sons, 2025-11-09) Muthugala, H; Magammana, T; Perera, A; Bandara, A; Jayathilaka, R
Child labour remains a critical socio-economic challenge in the SAARC region, closely linked to sustainable development goals (SDGs). This study investigates the determinants of child labour by examining the roles of education, health and economic growth using a robust methodological framework. The analysis captures the non-linear country-specific relationships between these variables and child labour, employing advanced methodological approaches, including multiple polynomials, stepwise and simple polynomial regression. The findings reveal a complex interplay of factors, with each variable showing positive and negative effects on child labour in country-specific contexts. Improved access to education generally reduces child labour, but disparities in quality and affordability can have the opposite effect. Health improvements significantly lower child labour rates, yet unequal healthcare access perpetuates exploitation among vulnerable groups. Economic growth shows dual effects: it promotes adult employment and alleviates poverty, yet unregulated expansion in specific sectors can heighten the demand for child labour. This study makes a novel contribution by integrating socio-economic determinants with child labour within a regional framework, providing actionable insights while aligning with SDGs 3, 4, 8 and 8.7. Key policy recommendations include fostering regional collaboration, ensuring access to free education, enacting and enforcing new laws, improving healthcare infrastructure and promoting inclusive and sustainable economic growth. These measures align with global SDG commitments but aim to secure a brighter future for the region's children by achieving these goals by 2030.
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Adverse Selection Effect for South Asian Countries in FTA Formation: An Empirical Study on the Determinants of FTA among the Bilateral Trading Partners
(SAGE Publications, 2009-01) Jayathilaka, R; Keembiyahetti, N
This study examines the economic and non-economic factors governing the decision of forming Free Trade Agreements (FTAs) between two non-zero trading partners by estimating a Probit model using 9,178 country pairs having 705 active and operational bilateral FTAs. This study works on the implied hypothesis that FTA is an endogenously determined variable dependent on a number of economic and non-economic factors which are usually omitted from gravity type trade models. The study finds economically important and statistically significant evidences that the likelihood of forming an FTA by a pair of countries is positively related to the economic mass of the partners, similarity in economic size, differences of relative factor intensity, political stability, past import tariffs and the existence of FTAs in the close neighbourhood, whereas it is negatively related to the distance, economic remoteness and geographic continuity. Based on these findings, this study provides a good explanation as to why South Asian Association for Regional Cooperation (SAARC) countries are still far behind the FTA negotiation process and how SAARC countries are subject to adverse selection effect by rest of the world.
Open Access
Ageing affecting the Americas?: exploring the growth direction: the relationship between the elderly population and economic growth in the American context
(Springer Nature, 2025-02-13) Jayawardhana, T.; Jayathilaka, R; Karadanaarachchi, R.; Nimnadi, T; Anuththara, S
The main aim of this study is to explore the relationship between the elderly population and economic growth in 25 North and South American countries use annual secondary data from 1961 to 2021. Instead of focusing on the conditional mean, this study tests for Granger causality in the entire conditional distribution of the elderly population and economic growth through wavelet coherence analysis. The study fndings indicated a unidirectional Granger causality running from per capita gross domestic product (GDP) to the elderly population for Bolivia, Colombia, Guyana, Peru and Puerto Rico and also from elderly population to per capita GDP for Costa Rica, Ecuador and Honduras. However, there is no causal relationship between the elderly population and economic growth for the rest of the countries. Wavelet coherence analysis depicted that economic growth positively led the elderly population in North America during the early 21st century. Furthermore, economic growth had been negatively leading the elderly population in South America throughout the period under consideration. This empirical study shows that policymakers of these economies need to analyse the transformation in the elderly population-economic growth causality robustness throughout the year when devising policies
Open Access
Alcohol and Poverty: Are they Related? Empirical Study from Sri Lanka
(Sri Lanka Economic Association (SLEA), 2007-06) Jayathilaka, R
The relationship between alcohol and poverty in Sri Lanka is an important area to study to formulate better policies to eliminate poverty in Sri Lanka. The study used the Household Income and Expenditure Survey (HIES) of 2001/02 that covered 16,924 households (71,293 individuals) in seven provinces in Sri Lanka. This study identified the poor by the Sri Lankan official poverty line base which is calculated by the Department of Census and Statistics, Sri Lanka. The probit model was applied to measure the impact on alcohol and poverty. The findings reflect some facts which merit careful attention in the task of Sri Lankan poverty alleviation policies. Illegal alcohol consumption is prevalent in the rural and estate sector poor households. Developing the Sri Lankan alcohol policy would have positive impact towards the society, particularly in addressing poverty reduction issues
Open Access
Alcohol brings burdens: A global and continent wise study on alcohol consumption and global burden of diseases
(researchgate.net, 2022-07) Jayathilaka, R; Athukorala, o; Ishara, S; Silva, D; Pathirageid, T
This article investigates alcohol consumption attributable burden of diseases. The present study considers the overall effect of Human Development Index (HDI), Socio Demographic Index (SDI) and Gross Domestic Product (GDP) for income to measure how these variables impact Global Burden of Diseases (GDB), bringing a different perspective to the results. Data from over 177 countries mainly including European, Asian, North American, South American, African and Australian regions were analysed from 2000 to 2019. A Panel regression technique was applied, and Fixed Effects (FE) and Random Effects (RE) estimations were chosen to derive outcomes of the Hausman test. The findings reflected that alcohol consumption (wine, beer, spirit and other alcohol) has a positive significant relationship with the Global Burden of Diseases (GBD) globally and in the African continent excluding North America and South America. Human Development Index (HDI) have a negative impact on GBD on all countries. Particularly HDI have a negative impact on GBD in African continent except other continents. Also, in the African continent and globally, GBD has a significant positive and in Europe, a significant negative impact on the Socio Demographic Index (SDI). The findings demonstrate the overall picture of the impact of alcohol consumption and other variables on GBD and provide suggestions on how these variables should be tackled in the future to reduce GBD. This is the initial empirical study that investigates the impact of alcohol consumption, analysing the combined effect of HDI, SDI and income on the GBD of continent wise and globally.
Open Access
Alcohol Consumption and Stroke Mortality: Global Patterns, Risks and Public Health Implications
(Springer, 2025-05-07) Kolonne, T; Mudalige, K; Dissanayaka, G; Rathnayake, K; Jayathilaka, R; Rajamanthri, L; Wickramaarachchi, C
Globally, stroke remains a leading cause of mortality and disability, while alcohol consumption continues to vary widely across regions, prompting concern over its health impacts. This study examines the association between different alcoholic beverages and stroke mortality, using secondary data from 1990 to 2020. Alcohol consumption and stroke death rates across 189 countries were categorized into five levels, from very high to very low, and averaged over two periods (1990–1999 and 2011–2020). Multiple Correspondence Analysis (MCA) was applied to assess relationships among four categorical variables. The findings indicate a significant association between very high alcohol consumption and increased stroke mortality, with eight countries showing elevated death rates. Conversely, moderate beer consumption was linked to reduced stroke mortality, suggesting nuanced effects based on beverage type and quantity. These insights offer a foundation for targeted public health policies and emphasize the need for further investigation into the mechanisms driving alcohol-related stroke risks.
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ALEXZA: A mobile application for dyslexics utilizing artificial intelligence and machine learning concepts
(IEEE, 2018-12-05) Rajapakse, S; Polwattage, D; Guruge, U; Jayathilaka, I; Edirisinghe, T; Thelijjagoda, S
Dyslexia can be explained as a neurological learning disability which causes difficulties in reading, word decoding, comprehension, short-term memory, writing, spelling, and speaking. People who are diagnosed with dyslexia tend to show signs of low self-esteem and anxiety since they can't interact with the society in a way that their peers do. Many applications available in this domain help them by correcting their issues by playing games and reading some hard-coded texts or pdf books. This correcting process takes time and dyslexics become helpless when coping with their day-to-day activities. This paper describes results of an evaluation of a prototype mobile application which helps the dyslexic users to deal with their reading difficulties in real life successfully, while they are receiving proper treatments. This prototype can identify the texts around them and read it loudly so that user can understand and will be allowed to customize the chunking, scrolling and highlighting of words according to their disability levels. By integrating dictionary support with the phonic and morphological structure of the word, the user will be able to comprehend difficult and complex words easily. In addition, the study also explores the use of a machine learning approach to improve the effectiveness of the learning dyslexic complex words.
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Analyzing the Location Feasibility for Retail Businesses using Market Location Factors
(IEEE, 2018-12-21) Marasinghe, L; Rupasinghe, M; Kumarasinghe, B; Perera, M; Thelijjagoda, S
The retail industry is a fast growing and a highly revenue generating industry. The location of a retail outlet is the most influencing factor for the success of the business. Therefore selecting a location for a retail store or an outlet is a challenging process. The purpose of this study is to define a method and develop a system to analyze the feasibility of a selected location for a retail store. The factors used in this method are location and market factors of a selected area. In order to define and test the method, we selected three different areas and five different retail store types. To retrieve location data, we used Google Maps web service. Consumer surveys were conducted in selected areas to get information about consumers' shopping patterns and selections. From the web service, we were able to identify transport modes, locations of competing stores and shopping areas. The findings of this study and the method described is useful in deciding the feasibility of any given location for a retail outlet. Also the specified method and model can be modified and extended to analyze different kinds of business locations.
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AppGuider: Feature Comparison System using Neural Network with FastText and Aspect-based Sentiment Analysis on Play Store User Reviews
(Institute of Electrical and Electronics Engineers, 2022-10-22) Thelijjagoda, S; Oshadi, D.M.K
Nowadays, there's a rapid growth in the number of apps downloaded from the app stores. People nowadays use apps for even the most simple daily tasks. In this situation, people always tend to search for new apps for the new tasks they come across in daily life. User reviews have a high impact on the app downloads. When analysing user reviews, it's important to consider the aspect that has been discussed in reviews. In mobile app reviews, the discussed aspect is mostly a functionality or feature of the mobile app. Therefore, it's crucial to make use of this important data in a way that helps app seekers to easily find the best-suited app for their requirements and also helps app developers to identify their weak features that need to be improved. This research was conducted to provide a strategy that visualizes user review summaries in a form that is relevant to the end user with the intention of achieving a model that is not only lightweight but also highly accurate and effective in terms of its performance. The AppGuider system was implemented, mainly with two models for sentiment analysis and aspect extraction. The sentiment classification model was developed with a deep learning approach that included a two-layer neural network, while the aspect extraction model was built with an unsupervised machine learning approach using the LdaMulticore algorithm. FastApi was used for data visualization in Frontend. User reviews were vectorized with FastText prior to input into the model. The accuracy of the sentiment classification model is 91%, with an 85.97% f1 score, an 85.93% recall, and an 86.05% precision. The FastText model outperformed the Stanford CoreNLP library in the performance test. The integrated system was evaluated by 25 user reviews that were entered manually and sentiment classification model scored 92% while the aspect extraction model scored of 76% accuracy.
Open Access
Applicability of Sri Lanka public sector accounting standards: Trincomalee urban council, Sri Lanka
(Faculty of Management and Commerce, South Eastern University of Sri Lanka., 2015-10) Nagendrakumar, N
Though the Sri Lankan Local Governments were introduced with the accrual based Public Sector Accounting Standards from 2009 they have not been implemented yet. As a result, the present study focuses why it has been a failure and sees the applicability of the standards to the Local Governmental set up in Sri Lanka. The Urban Council of Trincomalee city was selected as the case for study and semi structured interviews were conducted. The study concludes that since the accounting system (Wickramanayake’s accounting system) already in place was based on accrual principles, the application of accrual based accounting standards are possible provided that the staffs’ professional expertise is improved to the level expected
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ARROW: A web-based employee turnover analysis tool for effective human resource management in large-scale organizations
(IEEE, 2017-09-14) Weeramanthrie, T. T; Thilakumara, C. N; Wijesiri, K. N. A. C; Fernando, N. I; Thelijjagoda, S; Gamage, A
To gain the competitive advantage, organizations need to adapt to the dynamic market. Therefore, many researchers have tried to find different ways for adapting to competitive conditions. Most of these research have finally ended up focusing on the human resource, which is the major and important resource in any organization. Currently human beings are treated as assets rather than resources. The System, ARROW is a unique web application developed to satisfy the requirements of company management in employee understanding process. The main objective of the system, ARROW is to fulfil the gap between employees' past, present and future behavior and the management's ability to understand the behavior of the organization's employees at the HR practices. Natural Language Processing and Data Mining techniques were used to accomplish the main objective.
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Arunalu: Learning Ecosystem to Overcome Sinhala Reading Weakness due to Dyslexia
(IEEE, 2020-12-10) Sandathara, L; Tissera, S; Sathsarani, R; Hapuarachchi, H; Thelijjagoda, S
Dyslexia is an impairment in ability in reading. People having Dyslexia has difficulties in identifying specific letters and words and identifying speech sounds and decoding the letters which leads to difficulties in comprehension, spelling and writing. Dyslexia may severely affects language development and impacts reading and other language based improvement and functioning. “ARUNALU: Learning ecosystem to overcome reading disabilities in Sinhala language due to Dyslexia” has been proposed as a multi-sensory mobile solution, in native language of Sri Lanka (Sinhala) and with effective screening and intervention methodologies recommended by health professionals. Objective is to deliver, a phonological support to enhance reading skills of dyslexic children by providing a machine learning based automated screening and intervention mobile solution. Through these reading environments, there's a reward system in intervention process to encourage the user, and also users and respective parties can analyze user's progress. The proposed system is mainly based on Voice recognition, Natural Language Processing, Machine Learning and Deep Learning concepts collaborating with reading and gaming environments. Core Objective of the proposed system is to come up with a better and effective screening and intervention methodologies for early identification of Dyslexia and provide phonological training to overcome Sinhala reading difficulties due to Dyslexia in a user friendly manner.
Open Access
Asian ageing: The relationship between the elderly population and economic growth in the Asian context
(PLOS ONE, 2023-04-24) Jayawardhana, T; Anuththara, S; Nimnadi, T; Karadanaarachchi, R; Jayathilaka, R
The elderly population and economic growth have been a contentious topic among researchers. Regardless of the economic growth rate, the population and its growth have a stimulating influence on economic development. This study aims to explore the relationship between the elderly population and economic growth in 15 Asian countries, based on secondary data gathered from the WDI (World Development Indicators) from 1961 to 2021. This research contributes to filling the empirical gap, capturing the Granger causality concerning the relationship between the elderly population and economic growth in the Asian context in a single study. The empirical findings highlighted a one-way Granger causality from economic growth to the elderly population for India, Japan, Malaysia, and Singapore while vice versa for Bangladesh, China, and Pakistan. Furthermore, for Nepal, there is a two-way Granger causality, while there is no Granger causality for remaining countries. To the best of the authors’ knowledge, this study has been the first to investigate the relationship between the elderly population and economic growth for Asian nations, using a lengthy data series and a Granger causality test. The main findings will assist the governments, policymakers, and foreign investors in effective decision-making in this regard.
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Aspect Based Sentiment Oriented Hotel Recommendation Model Exploiting User Preference Learning
(IEEE, 2020-11-26) Godakandage, M; Thelijjagoda, S
Due to the advancement of the technology, people tend to focus on the online content related to products and services available through websites and the opinions of others which are provided in the form of reviews and comments. In the tourism domain, travelers are more concerned with the place of accommodation, facilities provided by a hotel, the location or the environment that the hotel is situated and tend to find the hotels that fulfill their requirements. They have to go through each and every review or comment in order to get a clear idea about a particular hotel, according to the opinion of the previous reviewers, which is a difficult and time-consuming task. Therefore, through this research, the users are provided with a system which analyses hotel reviews and provides aspect based personalized hotel recommendations that help users to easily find the best hotel according to their preferences, without having to go through a lot of reviews. For that, the proposed system was implemented with four steps, namely data gathering, data pre-processing, aspect extraction and sentiment analysis, and visualization of the output. In the implemented system, hotel reviews were analyzed and extracted the overall opinion of the reviews as opinion units with their related aspects. Based on the sentiment of those opinion units and the preferences of the user, the best hotels were suggested enabling the users to get an insight about the hotels. For this approach, aspect-based sentiment analysis was used. In addition to that, a weighted average calculation method was used for the final recommendations of the hotels, which suit users' preferences in an accurate manner.
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Aspect-based sentiment analysis on hair care product reviews
(IEEE, 2020-09-24) Kothalawala, M; Thelijjagoda, S
Nowadays, with almost everything being shared online, people are more verbal about their consumer experiences with products via reviews. Reviews can be vital for manufacturers to get insights into consumer opinions and consumers in their purchase decisions. Sentiment analysis, referring to the extraction of subjective opinions on a particular subject within a text, is a field within Natural Language Processing, that can convert this unstructured information hidden within reviews into structured information expressing public opinion. In regards to a specific product group like hair care products, certain brands are rising in the market due to their positive public opinion on particular aspects. While ecommerce websites facilitate users to view the reviews, they do not display which reviews contain which type of opinion on which aspect at a glance. This research aims to introduce an automated process that focuses on determining the polarity of online consumer reviews on different aspects of hair care products by using Aspect-based Sentiment Analysis. The system consists of processes like data gathering, pre-processing, aspect extraction and polarity detection and follows a sequential approach to achieve the intended goal. Consequently, by deciphering the aspect-wise polarity of the reviews, the implemented system demonstrates an accuracy of 85% from the test data for overall aspects, enabling consumers to get an at a glance idea about the public opinion and manufacturers to identify their strong and weak points.
Open Access
Assessing Quality of Life of the Visually Disabled People in Sri Lanka using the Seven Domains of Personal Wellbeing
(Journal of Technology and Value Addition, Volume 3 (2), 2021: (23-46), 2022-10-02) Jayathilaka, M.D.R.K.; Dunuwila, V; Attale, D.S.C.; De Seram, H.S.H.; Sudusinghe, D. R.; Abeyrathna, H.A.P.I.; Suraweera, T.; Thelijjagoda, S.
Quality of life (QoL) of the disabled is of interest to social researchers, though in general, it is a concept somewhat overlooked by many nations including Sri Lanka. This study examines the extent to which the seven domains of the Personal Wellbeing Index (PWI) impact the QoL of people with visual disabilities in Sri Lanka. The PWI comprises of seven social indicators viz, standard of living, achievements in life, community connectedness, close relationships, health, safety and future security. The sample of visually disabled population for this study was obtained from, Hambanthota District, in Southern Sri Lanka, as it records the highest rate of vision impairment in the country. Data collection was performed through a tailored questionnaire and thereafter analysed to determine relationships between the above mentioned seven domains and QoL. Demographic factors such as age and gender were also examined. Results conclude that majority of visually disabled individuals, especially those in the 40-59 age group are satisfied with the seven PWI social indicators examined. However, the domain of future security remains a significant concern, while females appear to be dissatisfied in terms of close relationships, achievements in life and standard of living, in addition, community connectedness and achievements in life domains need to be addressed by the policymakers to sustain QoL among VIandB in Sri Lanka.
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Automate Traditional Interviewing Process Using Natural Language Processing and Machine Learning
(IEEE, 2021-04-02) Senarathne, P; Silva, M; Methmini, A; Kavinda, D; Thelijjagoda, S
Nowadays, almost everything is equipped with technology. People can save time by using modern day technological applications in the most convenient way. Smart Interviewing System is one such software/tool which automates the traditional interviewing process using modern Natural Language Processing techniques and deep learning applications. The system will be mainly beneficial for interviewers and HR management employees working for different organizations who conduct technology related interviews. The system works with human voice and writing patterns. The system converts human language into system understandable text-based inputs, and these are used as inputs in the automated interviewing process. The system then checks the accuracy of the answers which candidates provided on the both oral interviews/ technical interviews and written tests. Later, the system automatically predicts scores for each answer using concepts of the deep learning. Interviewers can reduce the effort that they have to put in for selecting the most suitable candidates who are qualified enough to work with their organization. SIS is developed based on modern DL and NLP concepts using Python programming language alongside with ReactJS Framework. This system checking and evaluating candidate more accurately in every stage of the interview using advance evaluation parameters than human oriented evaluations. Above process lead system to find more human errors which critically can be affected to future of the organizations. Because of that, it can be led organizations to find best human resources comparing to the traditional interviewing process by sacrificing less time and effort.
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Automated Location Scouting and Production Planning for Movie Industry in Sri Lanka using scripts written in Natural Language
(IEEE, 2021-04-02) Perera, V; Lakshan, N; Hettiarachchi, A; Himantha, K; Gamage, M. P. A. W; Thelijjagoda, S
The film industry in Sri Lanka has grown into a multi-billion-dollar industry. However, it has not reached its fullest potential yet. This is due to the insufficient number of films produced locally. One of the major causes for a film to fail is the low attention given for production planning. Planning should take place with the commencement of the Preproduction state. This should include the entire process from scriptwriting to final ticket issuing. The pre-production state that determines the success or failure of the film consists of the critical processes that will be required to execute the production state. Place Scouting is one of the main processes in a production plan. Since the film industry focuses primarily on the esthetic enjoyment of people in society, scenic beauty is a must when choosing locations for a film. “Film-It” is developed to provide all-around assistance in Location Scouting and Resource Planning in the Pre-Production State of a movie. With the aid of this application, key players in the film industry will be able to save their time, effort and money spend on Preproduction preparation. Key stakeholders in the film industry have confirmed that this application would carry the Sri Lankan film industry to a whole new level.