http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/1905 SLJESIM 2026-04-20T19:50:33Z http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/1915 THE IMPACT OF HEALTH STATUS ON ECONOMIC GROWTH IN SRI LANKA Wanigasuriya, W.M.T.J.; Hettiarachchi, K.H.I.S. Health can be considered as a factor of economic growth. In Sri Lanka, the government is primarily responsible for health care. As a result, residents in Sri Lanka have access to free health care. The aim of this study is to examine how health stats impacts on economic growth in Sri Lanka. As health indicators, the study used government health spending as a percentage of GDP, life expectancy from birth (years), and mortality rate (per 1,000 live births). As a proxy for economic growth, the Gross Domestic Product per capita has been used. All the selected variables’ data are available from 1960 in Sri Lanka. Therefore, the data was gathered over the period from 1960 to 2019.To determine the impact of independent factors on economic growth in Sri Lanka, this study used the Augmented Dickey Fuller (ADF) unit root test method, the Akaike Information Criterion (AIC), and multiple regression analysis. To study the causation between variables, the Granger Causality approach was applied. According to the study results, multiple regression analysis reveals that trade openness has a favorable impact on economic growth in Sri Lanka, whereas mortality rate has a negative impact. Granger causality studies revealed that GDP and health expenditure had a bidirectional causal relationship. Life expectancy and GDP, mortality rate and GDP, health expenditure and trade, health spending and life expectancy, health expenditure and mortality, life expectancy and trade, and life expectancy and mortality all have a unidirectional relationship. 2022-06-01T00:00:00Z http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/1914 WAREHOUSE SPACE OPTIMIZATION USING LINEAR PROGRAMMING MODEL AND GOAL PROGRAMMING MODEL Perera, D.; Mirando, U.; Fernando, A. Warehousing involves all the material handling activities that take place within a warehouse in a supply chain. Typical warehouse operations involve integrated assignment decisions that could be optimized. The review in this paper presents a comparative analysis of optimization models used for warehouse space allocation proposed in the recent literature. Through the review, it was identified that considerable challenges exist in applying these models at present, due to the vast amount of information required to be processed, the significant number of possible alternatives, and the degree of integration of decisions required in the modern warehousing context. The objectives of this paper are comparison of previous research related to the warehouse space optimization and demonstrate warehouse space optimization using linear programming (LP) and goal programming (GP). Therefore, it is expected that the paper serves as a reference for further research in the area. The paper proposes a simple and effective linear programming (LP) model and goal programming (GP) model to optimize warehouse storage space by efficient palletizing. The quantity of total pallets required per day is derived based on the available demand per day and other constraints related to warehousing operations in a multi-product manufacturing context. The models generated feasible solutions; all constraints are satisfied. 2022-06-01T00:00:00Z http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/1913 A COMPARATIVE STUDY ON EFFECT OF TIME SERIES MODELLING AND MACHINE LEARNING APPROACH TO PREDICT ADVERTISEMENT AIRING TIME INVENTORIES Aberathne, I.; Rathnayake, U. Although there are emerging streams to deliver the promotional messages to customers such as social media marketing and email marketing, television advertisements have the dominating power over them. The local and global television companies make their revenue basically by publishing these commercials or advertisements to the end user during the TV programs. Moreover, some of these local television operators borrow foreign channels and broadcast them locally. Hence, these local TV operators should have the information on program schedules of these foreign channels in advance to prepare their advertisement inventories which need to be sold to customers. However, the local TV operators usually receive the program schedule from global TV channels very close to the actual schedule date. Thus, they do not have adequate time to sell their advertisement airing time to their customers. The proposed approach of this study has addressed and achieved this problem by utilizing time series modelling and machine learning approaches such as SARIMAX, SVR, RFR, GBR and LSTM. The experimental results show that both time series and machine learning models can be used interchangeably to forecast the next seven days of advertisement airing time/ ad inventory in one hour time resolution for given TV channels with a significant level of accuracy. Furthermore, the LSTM model has shown better accuracies for five test samples with mean deviation of 89 seconds. 2022-06-01T00:00:00Z http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/1912 INFLUENCE OF STUDENTS’ PERCEPTION OF LECTURERS’ POWER SOURCES ON COMPLIANCE IN A SELECTED NIGERIAN UNIVERSITY Essien, E. A.; Essien, A. E.; Ogunola, A. A.; Gege, A. B.; Adeyemo, S. O.; Olayinka-Aliu, D. A. University education all over the world has been undergoing tremendous challenges due to changes in models of learning, communication techniques and strategies adopted in the classroom. The assessment of lectures’ power in the classroom which could have been used in understanding the routes of students’ compliance to these learning model, strategies and communication techniques have not been investigated in Nigeria. This study therefore, investigated the influence of students’ perception of lecturers’ power sources on compliance in a Nigerian University. Using a multistage sampling technique, 431 students were proportionally selected from four campuses of Olabisi Onabanjo University, Ago-Iwoye, Nigeria. Data for the study was analyzed using descriptive and inferential statistics while the hypotheses were tested at 5% level of significance. The results revealed that perceived lecturer’s power sources (expert, rewards, legitimate, coercive, and referent) by students significantly jointly influence their level of compliance (p = 0.037) Also, there was a significant difference between male and female students’ compliance based on perceived power sources (p = 0.003). While students’ class level in the university significantly influence their level of compliance based on perceived lecturers’ power sources (p = 0.001). The implication of this study is that, a single factor in power source is not sufficient in influencing students' compliance rather a combination of factors. Therefore, the university management should train and develop lecturers to acquire requisite lecturing qualifications, knowledge and skill in social relationships so that they can exercise control during lectures and also gain compliance with request and instructions from students. 2022-06-01T00:00:00Z