Master of Science in Business Statistics

Permanent URI for this collectionhttp://192.248.9.226/handle/123/66

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item: Thesis-Abstract
Analysis of factors underpinning the voting behavior of Sri Lankans under the current economic crisis
(2023) Wathsala, WADR; Jayasinghe, JABU
Voting is the most common and effective way of political participation across the globe, as it showcases the willingness of voters and the fate of a country. It serves as a powerful tool to hold leaders and political parties accountable for their actions. To analyze voting behavior of general public a combination of crucial factors can be taken into account, such as voter satisfaction with recently elected candidates, reasons for voting during next elections, the influence of the ongoing economic crisis on political decision-making and identifying preferred candidate characteristics. To carry out the research, a convenience sampling method was used to select 418 voters and employed Descriptive Statistics and Factor Analysis methods for the data analysis. The Principal Component Analysis method with rotation exhibited the highest level of accuracy in factorization. The findings revealed a prevailing sense of dissatisfaction among voters with the recently elected candidates, while the level of satisfaction was found to be significantly associated with voters' previous voting experiences. The majority believes that the economic crisis has altered their political thinking patterns, and their primary motivation for casting their vote in the next election is to choose a candidate capable of addressing the current economic crisis. Additionally, Factor Analysis revealed five key candidate characteristics that voters prioritize when selecting a suitable candidate.
item: Thesis-Abstract
An Analysis of trade dynamics of Sri Lankan tea exports
(2023) Dissanayake, AKA; Abeysooriya, RP
Tea exports significantly contribute to the Sri Lankan economy since it is one of the major agricultural export crops in this island nation. Even though Sri Lanka is one of the leading tea exporting nations in the world, the percentage share of Ceylon tea in the global tea market has been gradually decreased over the years. With this background, this study aims to comprehensively investigate the growth patterns, instability, influential factors, and future predictions of tea exports to propose recommendations to improve the tea export industry in Sri Lanka. Secondary data were mainly used in this study. The Compound Annual Growth Rate Analysis was employed to measure growth rates in production and exports of Sri Lankan tea while instability in production and export indicators of tea in Sri Lanka were calculated by using Cuddy Della Valle Index. The Sri Lankan tea export quantity was modelled and predicted by applying forecasting techniques as Seasonal Autoregressive Integrated Moving Average, Gaussian Hidden Markov Model, and Multilayer Perceptron. Sri Lankan tea exports has shown negative growth while tea export value has depicted positive growth during the period from 2011 to 2022. In the same time Iraq was the most stable market for Sri Lankan tea exports. The comparison of the prediction accuracy of various forecasting techniques in tea export quantity prediction was revealed that the Multilayer Perceptron was performed better than other techniques employed in this study. Tea export types as bulk tea, tea packets, and tea bags as well as year majorly affect on the future predictions of Sri Lankan tea export quantity in order to the data series which was applied for this study. The study findings will be useful for researchers, policy makers, exporters, and other relevant authorities. Further research efforts are recommended to do for tea export prices and earnings.
item: Thesis-Full-text
Banking sector development on economic growth: structural equation approach
Fernando, KDUD; Peiris, TSG
Banking sector is an important segment of an economy. Financial and regulatory authorities have been stressing the requirements to cope with the unforeseen consequences on financial systems, banks and economic growth globally. This study explores the determinants of the banking sector development (BSD) and direct and indirect effect of the BSD on economic growth of 18 countries for the period of 2006 to 2014. As per the objectives, Two-Step System-Generalized Method of Moment (GMM) estimation used to explore the determinants of the BSD. To explore the direct and indirect effect of the BSD on economic growth, Three Stage Least Square (3SLS) estimation is used. Four indicators of the BSD, (i) bank intermediation (IM) proxied by private credit by deposit money bank to GDP, (ii) bank broad access (BA) proxied by commercial bank branches per 100,000 adults, (iii) bank profitability (PF) proxied by banks return on assets and (iv) bank liquidity (LQ) proxied by banks liquid assets to deposit were identified. Study found that BSD was determined by economic growth (EG), interest rate (IR), trade liberalization (TL), financial liberalization (FL) and governance infrastructure (GVI) explored by the first principal component of the six governance indicators. Results of the direct effect on economic growth indicates that per capita commercial bank branches have significantly influenced to the economic growth. The indirect results showed that human capital development of the selected countries has significantly cared the economic growth effects of the IM and BA out of the four models. Since, improved bank intermediation and bank access have allowed flowing credits and reliable banking facilities to the entrepreneurs and individuals for the investment on skilled labour by way of trainings and higher education opportunities which have ultimately improved the economic growth endogenously. The study suggested that governments and monetary authorities must review the policies towards the hassle-free financial access and prioritize the productive investment ventures when providing bank facilities towards the economic growth.
item: Thesis-Abstract
A Binary integer linear programing model for the teacher allocation problem referring to pshycological factors for the Sri Lankan schools
(2023) Wanniarachchi, HWRD; Abeysooriya, RP
Many schools face challenges in optimizing their school timetables. Every school has its own set of criteria and limitations that are based on numerous elements such as number of teachers available, teacher competencies, number of subjects teach, time periods restrictions for academic lessons, and regulations established by the education authorities, etc. This study has two goals. First, consideration of practical constraints to the Sri Lankan school timetabling problems. Second, investigate the applicability of solving that problem to the optimality considering those practical constraints. By far, the exact optimisation methods have been rarely applied to school timetabling problems in the past studies. This dissertation reviews those approaches in literature and investigates how well an Integer Programming (IP) optimisation approach performs for a set of selected timetable problems. After reviewing literature and a field study conducted in Southern province schools in Sri Lanka, the study presents four versions of IP optimisation models. 1) IP model focused on maximizing overall competency level of teachers with 10 basic constraints, 2) IP model focused on minimizing unfilled demand of teaching requirements with 10 basic constraints, 3) Extended version of model 1 with another 5 different practical constraints, 4) Extended version of model 2 with another 5 different practical constraints. The models were solved using the computational power of IBM ILOG CPLEX optimisation studio. In order to compare the performance of solving, four different timetable problems were used as data instances. The proposed methodology and tools were found to produce optimal timetable solutions within reasonable times for the loaded instances. While reaching the objectives of the study, the study successfully evaluated the applicability of different constraints arise in timetable preparations, using the proposed IP model and solving procedure
item: Thesis-Full-text
Comparison of factors in customer satisfactory of yoghurt in western and southern provinces
(2015-08-26) Sachith, EMY; Peiris, TSG
The dairy industry has a potential to contribute considerably to Sri Lanka’s economic development. Lucky Lanka Milk Processing Company produces various products to enhance Sri Lanka’s dairy industry. Due to the variance demand of 80g yoghurt, market strategies of the Lucky Lanka Milk Processing Company have been expanding and consequently sales of the company have been increased over the years. However, sales in the Western province has a bad situation compared that with the Southern province. The Objective of the present study was therefore to identify the factors in customer satisfactory of yoghurt in western and southern provinces in Lucky Lanka Milk Processing Company. A survey was carried out using sample size of 300. The sampling method was the purposive two stage proportional random sampling. The statistical analyze used are; (i) 2 way cross table using likelihood ratio chi-square test and (ii) binary logistic regression models. It was found that brand orientation, factory area, type of business, benefit of customer, quality of yoghurt, discipline of the company sales representatives, and advertising campaign were commonly in both Western and Southern provinces and price, competitors and customer knowledge were in only Western province and flavor of yoghurt only in Southern province were statistically significantly associated (p<0.05) with the usage of Lucky yoghurt, when each factors were considered separately. However, when all significant variables were considered together using binary logistic regression, it was identified that brand name, quality of the yoghurt and customer knowledge in Western province and brand orientation, quality of the yoghurt and benefits of the customers in Southern province were significantly associated with usage of Lucky yoghurt. The validity of the binary logistics model was confirmed by both likelihood ratio and Wald test.
item: Thesis-Abstract
Determinants of passenger satisfaction using public transport system in Colombo: a case study on Kottawa - Pettah route
(2021) Udayaseelan T; Peiris TSG
This research intends to identify the determinants of passenger satisfaction using the public bus transport system on Kottawa – Pettah Route in Sri Lanka. Data were collected from a structured questionnaire and the sample size is 400. The sampling method was stratified random sampling and a sampling unit is a passenger boarding from the Kottawa bus stand during November 2019. The Factor analysis (FA) was carried out to derive the inferences of the study. It was found that the observed data satisfied all the necessary requirements for FA. Fifteen factors identified as the determinants of satisfaction of passengers using Kottawa – Pettah Route. In view of the above, it is recommended to strictly implement the current laws and regulations, design new laws and regulations, train bus crew, introduce new innovative methods to improve the satisfaction of the passengers using public bus transport system. This will also result in protection and enhancement of the interests of passengers, other road users, drivers, conductors, operators and other stakeholders of public bus transport system in Sri Lanka.
item: Thesis-Full-text
Development of a mobile cash acceptance model: structural equation approach
Bandara, AMASM; Edirisinghe, PM
Development of a mobile cash acceptance model: structural equation approach This study intends to develop a conceptual model integrating the dimensions of mobile service quality (MSQ) in to other determinants of usage intension (UI) of Mobile Cash (MC) services using Partial Least Square – Structural Equation Modeling (PLS-SEM). The Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) has been selected as the theoretical base for the study. Considering both functional and technical quality aspects of MSQ, seven dimensions have been used (Reliability (REL), Responsiveness (RES), Assurance (ASU), Empathy (EMP), Tangibles (TAN), Convenience (CON), and Customer Perceived Network Quality (NQT)). A survey was carried out in a Higher Education Institute with a sample of 272 MC users. The measurement model assessment has revealed an adequate level of reliability, and validity in the measurement instrument. Therefore, eight different models have been formulated and tested using PLS-SEM to identify a statistically significant model. The standardized root mean square residual (SRMR) used as the determinant of model goodness of fit and bootstrapping procedures were used to determine the significant paths within each model. Based on the indications of the Recommended model, it was concluded that only five UTAUT2 variables (Performance Expectancy, Social Influence, Facilitating Conditions, Price Value and Habit) have direct effects (p<0.05) on UI and only the six dimensions that represent the functional quality aspect of MSQ (RES, ASU, CON, TAN, EMP and REL) have shown significant indirect effects (p<0.05) on UI where RES alone showed a negative effect. Since the technical quality dimension (NQT) did not show any significant effect on UI, the service providers are recommended to pay more attention on the functional quality rather than technical quality to improve future usage of Mobile cash services.
item: Thesis-Abstract
Development of an index to compare the Colombo stock exchange registered companies based on stock prices volatility and systematic risk effect
(2023) Lelwala, HC; Liyanage, UP; Jayasinghe, JABU
Managing the risk is a key element in portfolio analysis and many studies have been done to identify the impact of the risk into stock market investments. It allows the investors to consider the potential downsides before making choices on investments. The study aims to help investors by making it easy for them to make informed decisions on how to diversify their portfolio while minimizing the risk that it inherits. The dataset has been taken from Colombo Stock Exchange and it has data from 2016 January to 2020 December for 19 sectors. The dataset includes 264 companies, 239080 instances and quarterly systematic risk values for each sector. In this study we are using statistical methods such as K Means clustering, Pool regression and time series decomposition. In the first method study is providing an algorithm to identify the clusters in a sector to minimize the risk by allocating the investment into different clusters within the same sector regression. The second method uses a pool regression model to find out if there is any relationship between the systematic risk and the residual values that have been taken from time series decomposition in a sector. In the third method a new index has been introduced to cluster the sectors in CSE by using systematic risk and residual values. The first method provides clustering results based on stock price volatilities for each sector. This method is best suitable for an investor that is interested in allocating the portfolio in one sector in CSE. The results of the second method are showing that out of all the 19 sectors in CSE 12 sectors have a correlation between the systematic risk and the residual values that have been taken from time series decomposition. Final method is providing a new index that has been used to cluster the 19 sectors in CSE. This method can be used to diversify the portfolios in a wide range of stocks that will help investors to manage their risk efficiently. The sector clusters is confirmed with the correlation table which was obtained using the stock prices in each sector.
item: Thesis-Full-text
An Empirical investigation of the relations between macroeconomic variables and the industrial sector performance in Sri Lanka
(2015-08-26) Nadeesha, DHD; Peiris, TSG
The study investigates the nexus between macroeconomics behaviour and industry indices performance including all share price index (ASPI) movements in Sri Lanka for the period 1994-2013, using monthly series of the corresponding variables. The objective was achieved by identifying the influence of macroeconomic variables on major industrial price index and ASPI. The statistical techniques used include the unit root Augmented Dickey Fuller test in order to fulfill the objective of stationary for all the time series. The Johansen co-integration test was used to investigate whether the variables are cointegrated of the same order taking into account the trace statistics and the maximum Eigen-value tests. The variables were found to be co-integrated with at least one cointegrating vector. A Granger causality test was used in order to find the direction of causality between industry performance and macroeconomic behaviour and finally Vector Error Correction Model (VECM) was developed to forecast the long term behaviour. The findings imply that the causality between industry performance and macroeconomic variables runs unilaterally or entirely in one direction. The results reveal that the average prime lending rate (AWPR), inflation rate, exchange rate of Britain Pounds (GBP) and Japanese Yen (JPY) affect all the five major industries while exchange rate of USD does not influence on telecommunication industry. Moreover, all the macroeconomic variables have significant influence on diversified holding industry and hotel and travel industry. Therefore, the best fitted VECM was established in diversified holdings industry and hotel industry indices. From the results, it was inferred that the movement of industry indices reflect the macroeconomic condition of the country and can therefore be used to predict the future path of industry indices behaviour. The results derived in this study can be effectively used for investment and finance decisions.
item: Thesis-Full-text
Enhancement quality level of processes in an apparel manufacturing company via value stream mapping
(2019) Mendis, AO; Abeynayake, NR
‘Ensure Quality’ is an indispensable facet in any manufacturing industry, which is essential to sustain in volatile markets. This has become a widely spoken, an important topic in the arena. ‘Apparel ‘the highest income gainer of Sri Lankan Economy is in a gloomy situation, struggling with immense challenges prevailing. Favorable acknowledgement about the quality of Sri Lankan produced garments stow a hope in our hearts, where a study about the matter is undoubtedly escort benefits for the industry. This study is undertaken with a view to enhance process quality of Value Streams of main customers in a leading apparel manufacturing company in Sri Lanka. In order to identify quality improvement opportunities, VSM’s were developed for selected customers and identified most crucial processes needs to study on. It was able to distinguish cutting/molding, production and AQL processes are pivotal processes which contribute in generating of VSM’s . It studied process wise types of defects occurred as well as causes for such occurrences. It emphasized production process consists higher defect percentage than the other processes. The study elaborated to check whether the quality level of production processes of all customers lies within the statistically in control levels. The study revealed that all processes are within the control limits.. With the aid of statistics and Lean Manufacturing tools production processes deeply studied. Actions were taken for identified improvement opportunities and re-checked the quality levels. Results stipulated that the quality level of production processes is being improved. Similarly, its consequences the production processes are statistically capable. Study further elaborated to check the capability of the plant quality process and sample size daily examined. The study reveals that the plant quality process and daily examining sample size are inadequate. It is recommended to improve the plant quality process and to increase daily auditing sample size.
item: Thesis-Full-text
Factor affecting for property based crime in western province
Rodrigo., BKMR; Peiris, TSG
Less attention has been given for statistical analyses related to crime data in Sri Lanka collected at different police stations and it is high time to give priority for such analyses and derive non subjective statistical inferences. The purpose of this study was therefore to identify the significant factors affecting property based crime in the Western province of Sri Lanka. The response variable was nominal and binary category namely: (i) crime against person („against person‟) and crime against property („against property‟). The four explanatory variables considered are: (i) time (day vs night), (ii) power in political party (previous government vs current government), (iii) senior police divisions (10 divisions), and (iv) strength of police. Of those four variables, the strength of police was the only continuous variable and other three were considered as categorical variables. The necessary data from 2013 to 2017 were acquired from the crime reported division in Sri Lanka police on yearly basis. Based on the binary logistics models fitted for each variable, it was found that all four variables: time, power in political party, strength of police and senior police divisions were significantly influential (p < 0.05) on type of the crime. Crime against property was more likely to be occurred during night time than day time and also, crime against property was more likely to occurred during previous government than the current government. When the variable of strength of police was considered there was significantly lower occurrence of property based crimes for the high mean strength of police stations than that for low strength of police stations. There is a significant difference in the probability of occurrence of property base crimes among ten senior police divisions and among them, senior police divisions of Colombo Central and Colombo-South indicated high occurrence of property crimes. When all four variables were considered, only time, power in political party and strength of police were found to be significant (p < 0.05) on the occurrence of crime. When all three significance variables were considered the probability of „against property‟ is 3.987 times higher than that of „against person‟. The statistical inferences obtained by this study is immensely useful for planning to reduce the crime in Western Province and it is recommended to carry out similar studies in other areas as well.
item: Thesis-Abstract
Factor influencing female labour force participation in Sri Lanka :
(2021) Kariyawasam KLGA; Jayasundara DRT
This study attempts to identify factor influence on Female Labour Force participation in Sri Lanka using Chi- Square test to identify important variables for the model and then binary logistic regression analysis to identify and to quantify the determinants of labour force participation. The study draws data from Sri Lanka Labour Force Survey 2019 conducted by the Department of Census and Statistics. The analysis investigates the data in order to find out the overall behavior of the labour force statistics and seeks the relationship between FLFP and explanatory variables. Eleven independent categorical variables are considered. Chi – square analysis for each variables divulge that all the variables considered have a significant impact on female labour force participation. The significant factors are age group, marital status, ethnicity, religion, relationship to head of the household, sector, level of education, province, literacy in English, currently attending to an educational institute, and number of dependents in the household. The results obtained in this study can be effective used for policy planning and economic planners can also identify growth sectors and analyze the job descriptions to pinpoint those areas which require appropriate female skill
item: Thesis-Abstract
Factors affecting on youth participation and satisfaction in occupation related to agriculture
(2015-07-09) Sudarshanie, SDP; Peiris, TSG
The agricultural sector is the foundation of Sri Lankan economy with large population living in rural areas depending on agriculture for their livelihood. According to rapid change in economic and social conditions, there is a challenge to the government so as to attract youth to agricultural development programs. Though literature reveals that a large proportion of unemployed youth have been relatively highly educated, they do not perceive agriculture as a remunerative or prestigious profession. The study was therefore carried out to identify the factors affecting youth participation in agriculture and their satisfaction by doing agriculture as an occupation using survey data conducted by Hector Kobbekaduwa Agrarian Research and Training Institute (HARTI) during March/May, 2012. The age group of the youth was between 15 to 29 years. Based on the separate 2-way classification tables, it was found that gender, marital status, education level, monthly income, agricultural experience, and availability of paddy land, agricultural machineries, agricultural inputs, financial facilities, labour, water/irrigation facilities, agricultural extension services, trainings and market facilities were significantly influential factors (p<0.05) on youth participation in agriculture. However, using binary logistic regression model revealed that only the education level, agricultural experience, and availability of agricultural machineries, agricultural inputs and financial facilities were significantly associated with youth participation in agriculture. Further, no significant interaction was found between any of the above five variables. The validity of the binary logistic model was confirmed by both Likelihood Ratio and Wald test using the backward elimination method. Of those who participated in agriculture as an occupation, marital status, education level, and availability of high land and labour were significantly associated (p<0.05) with their satisfaction on agriculture. The results obtained are useful for making policy decisions on youth activities. Based on results obtained, it can be recommended that it is necessary to expand the extension services through agricultural officers and keeping a strong and cooperative relationship between officers and young farmers. Also, it is suggeste
item: Thesis-Full-text
Factors affecting the preference of local and imported milk consumption in Matara district of Sri Lanka :
(2019) Dilshani SDM; Jayasekara LALW
Milk is one of the most essential foods to humans and it contains many nutrients such as protein, calcium, phosphorus, vitamin B2 and vitamin B12. Intake of a sufficient amount of milk products is recommended for healthy lifestyle of humans. As an agricultural country, Sri Lanka had become self-sufficient in milk, before adopting the open economic policies in 1977. Because of that, imported milk products were highly consumed since 1977 with very lower prices. The government and private sector data indicated that currently in Sri Lanka, local milk production can supply around 42% of the demand and the country depend on the imported milk powder. Therefore, this study was focused on the socioeconomic and other factors (based on the consumer’s attitudes) which are influencing consumer’s milk pattern either local milk or imported milk. In this study the data were collected through a consumer survey questionnaire in Matara district. At the beginning of the data analysis study, descriptive statistic and chi-square test of independence have done to identify the significant factors which are related with customer’s milk consumption behaviors. Then, the Logistic Regression model was fitted on data using R software. Results from fitted multiple logistic regression model show that Age, Monthly Income, price of the milk, Easy to melt, artificial ingredient and Advertisements are the key determinants of consumers milk type.
item: Thesis-Abstract
Factors associated with over expenditure among low income households in Sri Lanka
(2023) Kodithuwakku, AJ; Thissera, D
Over expenditure can cause various problems in household. If monthly income is lower than monthly expenditure it can be referred to as a situation of “over expenditure”. This means that the amount of money spent in a given month exceeds the amount of money earned during that same period. It can worst the living condition in a low income household. It can be identified huge problems in the society due to low income in the households. Among the problems caused by insufficient income are health problems caused by insufficient nutrition and depression due to the inability to provide adequate facilities for the dependents, economic security lost due to the increase in expenditure over income, negative impact of family well-being with mental stress and emerging family problems, negative impact on children‟s education, mental and physical health and the future etc. are critical social problems.so it is important to find out the reason for over expenditure among low income families. Therefore the current study was done in order to find the factors associated with over expenditure among low income families. This study was done by using secondary data obtained from the Income and Expenditure Survey_ 2019, conducted by Department of Census and Statistics. There are seven factors identified as significantly associated with over expenditure among low income households. Those are Sector of residence, Number of members in household ,Employment status of the household head, Educational level of the household head, Age group of the household head, Suffer from chronic illness by household head , monthly food expenditure greater than the half of income. Among low income households in Sri Lanka those who are in urban sector, working as a contributing family worker, headed by person who are in 31-40 year of young age level and suffer from chronic illnesses, have the maximum possibility of being low income over expenditure per month. Also the family who spent money for their monthly expenditure than their half of monthly income has high possibility being low income over expenditure. When increasing the number of family members possibility of being over expenditure also increasing. Keywords: Economic security, Family well-being, Family stability, Food security
item: Thesis-Full-text
Factors associated with the satisfaction of chartered accountancy students in Sri Lanka
Anne, PPK; Palagolla, N
The main objective of this study is to identify the factors that significantly associated with the satisfaction of the Chartered Accountancy students in Sri Lanka. This scenario has been tested with a sample of 380 (n = 380) randomly selected Chartered Accountancy students from two main external institutes in the context. The response rate for the study was 98.68% and relevant statistical tests were performed to prepare the data set for the statistical analysis. Results highlighted that almost all the current students are with a high level of satisfaction about becoming a Chartered Accountancy student in Sri Lanka. The significant associations were identified by using Pearson Chi-Square and validated by Spearman Rank Correlation and based on the analysis a significant association has been identified among the academic role, staff quality, examination, marking and feedback, course management, industry and job market implications, personal attributes and age towards Chartered Accountancy students’ satisfaction. The factors utilized in testing the student’s satisfaction have been derived mostly through research based on academic contexts, but a highlighted difference has been identified among both academic and professional education. Therefore, the factors have been rearranged with the intention of better representation of the professional educational context. Through the factor analysis, the 34 dimensions used in defining 8 independent variables have been rearranged to 9 factors except the state of the academic role and staff quality. Those renamed newly arranged nine (9) factors are compatible syllabus and personal influence on succession, industry and job market behavior, learning atmosphere, academic role, institutional policies, examination and marking standards, control over practical training firms and its pressure on career progression, staff quality and administration function. The findings of the study provide insights on the policy prospects of the institute, the factors that must be considered on satisfying the students.
item: Thesis-Abstract
Factors associated with youth unemployment and new trends of employment in Sri Lanka
(2023) Shyaminda, TVP; Magalla, CH
Youth unemployment is a significant issue in our country. This thesis aims to analyze and uncover the factors influencing youth unemployment and the requisite skills for Sri Lanka's growing industries, which are poised to become dominant sectors in the next decade. Data was sourced from the Varite Research and USAID Labour Market Assessment Survey conducted in 2018, with a specific focus on youth data as secondary data. The survey involved 2040 respondents, constituting 86.6 percent of the youth population, and followed the 2012 Census of Population and Housing sampling framework. Utilizing Pearson's Chi-square test statistics, the secondary data revealed a Significant association between most factors and youth unemployment. Interestingly, apart from English Reading Ability and Basic and Advanced Computer Skills, the remaining 18 variables, such as Presentation Skills, Customer Handling, and Sales Skills, exhibited a substantial influence on youth unemployment. Employing the Factor Analysis Method, these 21 variables (above mentioned) were categorized into four common factors: English and IT Skills, Communication Skills, Interpersonal Skills, and Technical Skills. Furthermore, through the application of the Cluster Analysis Method, the study concludes by identifying the main skills needed for each of the growing sectors: Tourism, ICT/BPO, Healthcare, Construction, and Light Engineering. The study underscores the demand for Technical Skills in Construction and Light Engineering, the significance of Interpersonal Skills in the Health sector, the importance of English proficiency in Tourism, and the critical need for IT skills in the ICT/BPO sector. These findings carry implications for the government's long-term developmental strategies.
item: Thesis-Full-text
Factors influence on female labour force participations in Sri Lanka
(2015-08-27) Gunawardhana, NR; Peiris, TSG
(FLFP) in Sri Lanka using explanatory variables as age group, marital status, relationship to household head, religion, level of education, sector, province, number of dependants, literacy in English, currently attending to an educational institute in Sri Lanka and compare this results that for male labour force participation (MLFP). The necessary data was obtained from Sri Lanka Quarterly Labour Force Survey 2012 (QLFS 2012) conducted by the Department of Census and Statistics (DCS). Full of The original data set is used for this study consists with 62,299 person records in the data file. The statistical analyses used were bi- variant Chi-square test and binary logistic models. It was found that FLFP is significantly lower than that of MLFP. Low levels of labour force participation was mainly among females who currently engage in studies, who have low levels of education, who are illiterate in English, who have more household responsibilities, place of residence is urban or not in the Western province and who are Muslims. The study recommends that improving human capital, expanding more opportunities for female and providing facilities to working female such as reliable welfare centers for their dependants will support to increase female labour force participation in the country. In literature there are lots of micro level studies on related subjects which were done in other countries but found very few for Sri Lanka. Therefore, findings of this study will be very useful to see the female labour force conditions in the country. The results of this study confirm some previous findings and thus the results can be effectively used for various levels of planning.
item: Thesis-Full-text
The Factors influencing on practicing and sustaining lean in apparel and textile industry of Sri Lanka
(2018) Balasooriya VT; Peiris TSG
Apparel and Textile Industry is the key contributor in Sri Lankan economy and the industry faces many operational, business and economic challenges time to time. In order to overcome those challenges and to increase the operations excellence, many companies have adapted “Lean” methodologies. Lean Manufacturing is a systematic approach to identify and eliminate waste in the entire value chain. This research was conducted to identify the factors influencing on practicing and sustaining Lean in apparel and textile companies. Seventeen variables were identified as observed variables from literature review. A survey questionnaire was used to collect data from apparel and textile organizations who have implemented Lean. Exploratory Factor Analysis with two extraction methods (PCF, PAF) and three rotation methods (Varimax, Equamax, Quartimax) were carried out to identify major factors influence on lean practices and all the reliability and validity checks were conducted before the Factor Analysis. Four major factors were identified in the results and Principal Component Factoring and Varimax rotation used to define the final solution. Management infrastructure, Waste elimination, Process Improvement through knowledge enhancement and Organization culture were identified as four major factors influence on practicing and sustaining Lean.
item: Thesis-Abstract
Factors influencing the selection of banks for personal banking activities by employed people in Matara district
(2023) Jaliyagoda, ST; Jayasundara, DRT
The aim of this research is to investigate the factors influencing the selection of banks for personal activities by employed people in the Matara District which is the main commercial city of the Southern Province in Sri Lanka.The banking industry is continuously changing due to its current competitive nature. This industry tends to replace their traditional procedures with user-friendly and fully digitalized banking procedures that manage the high competition with other banks. Employed people in society have different attitudes toward the new trends in the banking sector. So, the goal of this study is to identify the variables that influence the choice of a bank for personal banking activities by employed people and make this information available to those who hope to choose a bank in the current context. This research used the convenient sampling method to collect data. Data were collected from randomly selected participants, who are employed in the Matara district, focusing on their perceptions and the criteria they use when selecting banks, and the factors that influence them to choose banks. The results showed that most affecting variable for selection of bank was their job category. Gender and education level were also found as factors affecting the selection of a bank among government and non-government banks for personal banking. The results will be helpful in preparing the strategic plans of the banks and it will be a guide for individuals to make banking easier for themselves. The implication of this research is bank management, academicians, and policy makers must devote resources and evaluate and redesign current marketing strategies in order to retain customers in the competitive bank environment in Matara district. Keywords: Customer Attitude, Customer Satisfaction, Trends in Banking