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Publication 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, REnsuring 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.Publication Open Access Accounting Education towards Sustainable Labour Markets in Sri Lanka(researchgate.net, 2021-01-11) Perera, K. A. J. O; Perera, U. L. N. L; Guruge, N. H. G; Subashini, S; Madhavika, W. D. N; Weerarathna, R. SThe quality of Accounting Education determines the quality of Professionals in the field of Accounting. During last few decades with the effect of globalization, many technological advancements occurred in every industry. It directly affects the job profile of sustainable labor market of Accounting field where work becomes challenging and complex to achieve. Babike [1] proved that as Accounting Academics have become more important in the re-contextualization of the new global. The purpose of this article is to identify which qualifications are preferred by the employers out of Professional Accounting Qualification and Academic Accounting Qualification in Sri Lankan sustainable labor market. The present study adopted interpretation in philosophy and the inductive approach. The data collection was based on primary data and was collected through online interview method. Researchers selected convenience sampling method since more than 80% of listed companies in Colombo Stock Exchange are in Western Province. Based on the convenience sampling technique researchers have selected ten listed companies and interview ten Finance Managers in respective companies. Thematic Analysis technique was used to analyze the data by using the NVivo software application. The findings of the present study suggest that many employers prefer Professional Accounting Qualifications rather than Academic Accounting Qualifications. The main reason for the choice is candidates with Professional Accounting Qualifications are more capable in handling tasks and the assigned job role due to the training offered through Professional Accounting Qualification when compared to Academic Accounting Qualifications. As an implication the respected authorities in Sri Lankan educational sector can implement Accounting trainings component for Academic Accounting Education. This may also be useful to future researchers to identify the perceptions of the employers.Publication Open Access Accounting Education towards Sustainable Labour Markets in Sri Lanka(researchgate.net, 2021-01-11) Perera, K. A. J. O; Perera, U. L. N. L; Guruge, N. H. G; Subashini, S; Madhavika, W. D. N; Weerarathna, R. SThe quality of Accounting Education determines the quality of Professionals in the field of Accounting. During last few decades with the effect of globalization, many technological advancements occurred in every industry. It directly affects the job profile of sustainable labor market of Accounting field where work becomes challenging and complex to achieve. Babike [1] proved that as Accounting Academics have become more important in the re-contextualization of the new global. The purpose of this article is to identify which qualifications are preferred by the employers out of Professional Accounting Qualification and Academic Accounting Qualification in Sri Lankan sustainable labor market. The present study adopted interpretation in philosophy and the inductive approach. The data collection was based on primary data and was collected through online interview method. Researchers selected convenience sampling method since more than 80% of listed companies in Colombo Stock Exchange are in Western Province. Based on the convenience sampling technique researchers have selected ten listed companies and interview ten Finance Managers in respective companies. Thematic Analysis technique was used to analyze the data by using the NVivo software application. The findings of the present study suggest that many employers prefer Professional Accounting Qualifications rather than Academic Accounting Qualifications. The main reason for the choice is candidates with Professional Accounting Qualifications are more capable in handling tasks and the assigned job role due to the training offered through Professional Accounting Qualification when compared to Academic Accounting Qualifications. As an implication the respected authorities in Sri Lankan educational sector can implement Accounting trainings component for Academic Accounting Education. This may also be useful to future researchers to identify the perceptions of the employersPublication 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, RMany 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 casesPublication Embargo 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, RChild 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.Publication Embargo 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, NThis 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.Publication 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, SThe 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 policiesPublication Open Access Alcohol and Poverty: Are they Related? Empirical Study from Sri Lanka(Sri Lanka Economic Association (SLEA), 2007-06) Jayathilaka, RThe 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 issuesPublication 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, TThis 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.Publication 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, CGlobally, 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.Publication Embargo 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, SDyslexia 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.Publication Open Access An Analysis of Major Factors Affecting Labor Turnover in the Apparel Industry in Sri Lanka: Policy Alternations for Solving the Problem(Human Resource Management Academic Research Society, 2018-09-29) Rajapakshe, WThe objective of this study is to investigate and analyze factors, which affect the labor turnover in the apparel industry in Sri Lanka and policy alternations for solving the problem. Population of this study is employees who are currently working in the apparel industry in Sri Lanka. Data was collecting through the questionnaire. The Cronbach's α value of the variables are in the range of 0.75 to 0.93. To test the hypotheses the structural equation modeling approach (SEM) was applied. According to the literature review thirteen research hypotheses were formulated and out of these nine hypotheses were accepted. Given the findings, employees’ turnover in the apparel industry is determined by living and social condition, personal characteristics and HRM activities. Among these three variables HRM activities has highest effect on turnover. The impact is moderating with job satisfaction and absenteeism. Hence, apparel industry should heavily focus on the HRM activities. This study suggests that the policy makers of this country should improve the existing laws and regulations regarding basic human rights, Recruitment and selection procedure, career planning and development, motivation, early socialization, labor administration, retirement benefits, and welfare of workers and legislationPublication Open Access Analysis on Current and Future Training Needs in Health Sector of Sri Lanka(SRAC - Romanian Society for Quality, 2022-08) Rajapakshe, W; Weerarathna, R. S; Pathirana, G.Y; Malage, M. HSri Lanka holds a unique position in South Asia as one of the developing nations to provide universal health. Government spending on welfare mainly involves compromising or constraining a country's development budget. It requires sound management strategies to utilize limited resources, including the human resource of the health sector. Training and development of health professionals can be identified as a critical component in strengthening the quality of health services. Fewer studies exist on Training Needs Analysis (TNA) on health professionals in Sri Lanka, and this study assessed the Training Needs of Sri Lanka's healthcare professionals. This is a cross-sectional study collecting data from 240 health sector professionals in Sri Lanka. The Hennessey Hicks Training Need questionnaire was used to obtain data. Data from the source was analysed through the oneway ANOVA to compare the training needs of various professional groups, and the Word Cloud Online tool was applied to analyse the open-ended questions. The study identifies published research evaluation, communicates with patients, identifies viable research, introduces new ideas, prioritizing works, assessing patients' needs, using technology, undertaking health promotion activities, collecting research information, and undertaking administrative duties as current training needs. While computer literacy training, training on new medical equipment, awareness programs on workplace stress-reducing, training on quality assurance certifications like ISO, programs on effectively communicating with patients, management training, and language training were identified as future training needs of professionals in the health sector. The study concluded that, continuous training programs as the preferred approach to access the performance gap. It also demonstrates that this awareness of information regarding the training needs is beneficial for the health sector policymakers, managers, employees, and the community. Having a better understanding of their job roles, performance needs, and involvement in the decision-making process is likely to motivate healthcare sector employees to improve service quality. These benefits will be reflected in positive outcomes on service quality, improving the overall healthcare system in the country.Publication Open Access Analysis on Future Training Needs in Health Sector of Sri Lanka(SRAC - Romanian Society for Quality, 2022-08) Weerarathna, R; Rajapakshe, W; Pathirana, G. Y; Malage, M. HSri Lanka holds a unique position in South Asia as one of the developing nations to provide universal health. Government spending on welfare mainly involves compromising or constraining a country's development budget. It requires sound management strategies to utilize limited resources, including the human resource of the health sector. Training and development of health professionals can be identified as a critical component in strengthening the quality of health services. Fewer studies exist on Training Needs Analysis (TNA) on health professionals in Sri Lanka, and this study assessed the Training Needs of Sri Lanka's healthcare professionals. This is a cross-sectional study collecting data from 240 health sector professionals in Sri Lanka. The Hennessey Hicks Training Need questionnaire was used to obtain data. Data from the source was analysed through the one-way ANOVA to compare the training needs of various professional groups, and the Word Cloud Online tool was applied to analyse the open-ended questions. The study identifies published research evaluation, communicates with patients, identifies viable research, introduces new ideas, prioritizing works, assessing patients' needs, using technology, undertaking health promotion activities, collecting research information, and undertaking administrative duties as current training needs. While computer literacy training, training on new medical equipment, awareness programs on workplace stress-reducing, training on quality assurance certifications like ISO, programs on effectively communicating with patients, management training, and language training were identified as future training needs of professionals in the health sector. The study concluded that, continuous training programs as the preferred approach to access the performance gap. It also demonstrates that this awareness of information regarding the training needs is beneficial for the health sector policymakers, managers, employees, and the community. Having a better understanding of their job roles, performance needs, and involvement in the decision-making process is likely to motivate healthcare sector employees to improve service quality. These benefits will be reflected in positive outcomes on service quality, improving the overall healthcare system in the country.Publication Open Access Analyzing relationships between rainfall and paddy harvest using artificial neural network (ANN) approach: case studies from North-western and North-central provinces, Sri Lanka(The Faculty of Agricultural Sciences of the Sabaragamuwa University of Sri Lanka, 2022-01-04) Ranasinghe, T; Rathnayake, U. S; Gunawardena, G; Wimalasiri, E. MPurpose: Food and agriculture are frequently affected from on-going climate change. A significant percentage of annual harvest is lost due to extreme climatic conditions in different parts of the world. Sri Lanka is considered as a country which is vulnerable to climate change. Therefore, this research presents a detailed analysis to find out the non-linear relationships between the rainfall and paddy harvest in two major provinces of Sri Lanka. Research Method: North-central and North-western provinces as two major agricultural areas were selected for the study. Rainfall trends were identified using non-parametric Mann-Kendall and Sen’s slope estimator tests. The artificial neural network (ANN) approach was used to establish non-linear relationships between rainfall and paddy yield. Findings: There was no significant (p > 0.05) linear correlation between rainfall amount and the rainfed paddy yield in tested locations. However, no clear relationship between the rainfall and rain fed yield were found in the 14 predefined functions (polynomial, logarithmic, exponential and trigonometric) derived using ANN where the calculated coefficients of determination were less than 0.3. Research Limitations: Due to lack of other climate variables such as temperatures, a significant relationship was not observed in this study. Originality/value: We have shown that non-linear artificial neural network approach can be used to study the impact of climate on agricultural production in Sri Lanka.Publication Embargo Analyzing the Influence of Current Situation in the Country for Vegetable Prices using LDA Topic Modeling(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-10) Kumara, B.T.G.S.; Illankoon, I.M.G.L.The price fluctuation of vegetables is one of the economic problems faced by every country, including Sri Lanka. Many factors such as environmental conditions as well as supply, demand, social, cultural, and political situations of the country cause the price of vegetables to fluctuate. Nowadays, social media represents public opinion about current events. Twitter has become one of the fastest social media platforms for getting the latest and historical news and it can be used to track historical trends in different fields. In this paper, we applied the Latent Dirichlet Allocation (LDA) topic modeling algorithm to determine the topics of the tweets about Sri Lanka when the prices of vegetables were very high and low. Through a manual analysis of extracted topics, we identified the situation in the country during a selected period and how it has impacted the vegetable prices. According to the results, vegetable prices are on the rise during the festive season in Sri Lanka. It also appears that political factors, such as elections, do not have a major impact on vegetable prices. It seems that vegetable prices have gone up during the unstable or chaotic periods in Sri Lanka.Publication Embargo Analyzing the Location Feasibility for Retail Businesses using Market Location Factors(IEEE, 2018-12-21) Marasinghe, L; Rupasinghe, M; Kumarasinghe, B; Perera, M; Thelijjagoda, SThe 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.Publication Embargo 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.KNowadays, 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.Publication 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, NThough 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 expectedPublication Embargo 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, ATo 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.