International Conference on Social Sciences (ICSS)
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Item The Most Influential Factors on Youth Female Unemployment Incidences in a Sri Lanka(4th International Conference on Social Sciences 2018, Research Centre for Social Sciences, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2018) Perera, K.B.P.; Kularatne, M.G.; Wehigaldeniya, W.G.D.S.Unemployment is one of the key measures of economic health. The unemployment rate indicates the degree of usage of productive resources available in an economy. Everyone would be employed at some wage to maximize the efficiency of an economy. The Purpose of this study is to identify the most influential factors behind the high rate of youth female unemployment incidences in Sri Lanka. The secondary data, concepts and definitions used in annual report of Labour Force Survey (LFS) in 2015which has conducted by Department of Census and Statistics (DCS) is used for this study. The data analysed most influential factor of the youth female unemployment incidences in Sri Lanka based on the analysis of Descriptive statistics, Pearson’s Chi Square test and independent sample T-test.The research revealed that independent variables such as Sector, Province, Ethnicity, Religion, Marital status, Family size, Number of dependents, Relation to the household head, Monthly income level, Educational level, Literacy in English/Tamil and Completion of training relevant to occupation or selfemployment are influential factors of the Youth female unemployment incidences of Sri Lanka. However, among those factors Monthly family income is the most influential factor. Other than the Monthly family income Province, Level of education and Completion of relevant training program are also more influential factors rather than other categorical variables. In addition to categorical variables, Family size and Number of dependents also more influential factors on Youth female unemploymentItem Understanding the customer Satisfaction level of the physical and human facilities in the fitness center. With special reference to Sugathadasa National Sport Complex Fitness Center(4th International Conference on Social Sciences 2018, Research Centre for Social Sciences, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2018) Silva, M.L.M.; Priyanjila, A.S.D.; Wehigaldeniya, W.G.D.S.; Pushpa Kumara, W.A.; Madusanka, R.W.B.M.D.In the present area, sports become a golden place in the whole world. Therefore countries spent a large amount of money to develop their sports facilities. Many people are using a fitness center to build or maintain their health, lifestyle, etc. there for many sports organizations have their owned fitness center. In the future fitness centers became a trend in society. The main purpose of this study is to examine the relationship between Customer Satisfaction (CS) with the Physical Environment Facility (PEF) and Human Facility (HF) on the fitness center. In this research approach, explanatory research style and deductive research approach. A sample group of this study includes customers in Sugathadasa National Sports Complex Fitness Center (SNSCFC). The simple random sampling method used for selecting the sample and closedended 150 questionnaires were used to collect data. The researcher used one-way ANOVA analysis to identify the significant difference between perceived facility value and demographic factors (gender, age, education, employment, income level) and chi-square analysis for identifying the relationship between both categorical variables. The descriptive results showed a significant association between CS & PEF and HF. PEF & HF have a significant relationship between customer satisfaction. According to the results, we observed a Strong association between the CS & PEF (P= 0.012), CS & HF (P=0.025). However, SNSCFC needs to develop their physical environment facilities for their customersItem Failures in Sport Talent Identification: A Case for “ADHISHTANA” Program(4th International Conference on Social Sciences 2018, Research Centre for Social Sciences, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2018) Wehigaldeniya, W.G.D.S.; Ubesekara, B.M.E.J.; Weerakoon, W.M.R.K.At present most of countries are paying attentions for Sport Talent Identification Programs (STIP). The main purpose of this study is to identify factors that lead to failures of STIP. In the context Sri Lanka, the unit of analysis of this study is a monitor of ADHISTANA STIP. The primary data collected from 180 sample representing 50% of the total population though the questioners survey. The data used the analysed exploratory factor analysis to identify the factors affects in failures of STIP. The research revealed that eleven factors: Lack of the knowledge about STIP, Incomplete planning of the players supervision, Lack of support, Lack of awareness, Political interference, Non-systematic evaluation process, Abuse collaboration on education system and sport, Inability to use of technology, Control under the several organizations, Disqualified coaches, Minimum capacity of human resources are influence in failures of STIP. The most affect failure on STIP was Lack of the knowledge in STIP. The least affect failure was as Non-systematic evaluation process. Therefore, it recommended these the Policy makers, Programmers, Physical Education teachers, Athletes, Coaches can be whiled the results of this study at the success of STIPItem Estimation of Leisure Benefit of Leisure Time Consumption as an Economic Product: A BAL analysis(Research Centre for Social Sciences, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2016) Ramanaka, A.R.N.D.; Semasinghe, W.M.; Wehigaldeniya, W.G.D.S.; Oshani, P.A.L.; Dilshani, P.Y.H.; Dissanayake, N.B.Leisure benefits are non-monitory gains that lead to the positive changes in the needs of individuals or substantial environments, including interpersonal relationships, physical fitness, alleviation of social problems, and stabilization of communities. The purpose of this study was to estimate the leisure benefits of leisure time consumption for the national production. There was one independent variable called Leisure Time (LT) and dependent variable was Benefits of Leisure (BOL), in this study. The secondary and primary data were collected in a survey of a sample comprising on 60 person. The Benefits Approach to Leisure (BAL) is used to measure leisure benefits considering leisure benefits areas as a production for leisure time. According to the findings there is opportunity cost which borne their time choice and leisure and Revenue undertakings. On the other hand amount and quality of leisure time is important for people‘s well-being due to the direct satisfaction it brings. Additionally, leisure, taken in certain ways, is important for physical and mental health of a person. Leisure also contributes to the well-being of people other than the person directly enjoying leisure. When a person engages in leisure, the benefits gained are shared with others in a multitude of ways, including improvements in personal relationships, family functioning, and in terms of creation of social capital networks (at least from some types of shared leisure).Item Ranking Cricket Players According to Their Efficiency of Performances: A Criterion Formulation for a Minimum Error Team Selection(Research Centre for Social Sciences, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2016) Ramanaka, A.R.N.D.; Bandara, K.A.W.P.; Wehigaldeniya, W.G.D.S.; Oshani, P.A.L.; Dilshani, P.Y.H.; Jayantha, K.This research suggests a new criterion for cricket team selection using data envelopment analysis (DEA) with the objective of selecting a team which has a minimum error in team selection. It proposes a DEA formulation for evaluation of cricket players in different capabilities and their efficiencies of performance using multiple outputs. For instances, batting, bowling all rounding, wicket keeping, and fielding capabilities. This evaluation determines efficient and inefficient cricket players and ranks them on the basic of DEA scores. The ranking can be used to choose the required number of players for a cricket team in each cricketing capability. A real data set which belongs to Sri Lankan Cricket team during ICC world cup 2015 is associated with the data analysis process. Cricket players having various capabilities is used to choose the best cricket team. For this purpose, the secondary data were derived from “ESPN” cricinfo web site (Which is reputed web site for international cricket data). The proposed method has the advantage of considering multiple factors related to the performance of players in multiple capabilities and aggregates their scores using a DEA model in linear programming frame work. This DEA aggregation gives the scores of players objectively instead of using subjective computations. The findings of this study suggest that DEA has the potential to select players to the Cricket team fairly. There for these findings cane be used to player’s selection in local and national cricket team selection as objective selection criteria.