SLIIT International Conference on Advancements in Sciences and Humanities [SICASH] 2022

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    An Exploratory Study on Work Stress and Job Satisfaction during the COVID-19 Pandemic in Hotel Sector Employees of Sri Lanka
    (Faculty of Humanities and Sciences, SLIIT, 2022-09-15) Bradie-Miles, E.M.A; Donmanige, I.C
    COVID-19 has affected employees worldwide, especially in the hotel industry, with restricted travel, limited incoming flights, and guests, which presents challenges for hotels and employees. Therefore, it is essential to investigate how COVID-19 has affected hotel employees' job satisfaction and work stress. This study aimed to determine whether the stress at work generated by COVID-19 directly affects the job satisfaction of hotel employees in Sri Lanka. The researcher recruited hotel employees in Sri Lanka through purposive sampling following a selective criterion; 18 years or older, locally employed, with two or more years of industry experience. The researcher, part of a larger mixed-method project, presented the qualitative findings in this article, using a qualitative research design with semi-structured interviews to collect employee responses (N = 7) before subjecting the responses to content analysis. Ultimately, the main findings indicated that work stress generated by COVID-19 partially impacted the job satisfaction of Sri Lankan hotel employees. Other factors reported included COVID-related financial issues and procedural changes that significantly affected employees. Several solutions presented in the findings to improve job satisfaction and work stress during COVID- 19 included effective financial management by hotels, and extra support, for example, counselling and improved workplace communication. Overall, the satisfaction of Sri Lanka’s hotel workers' jobs has been affected by work stress and partially by COVID-19. Therefore, future research should explore the influences of COVID-19 on job satisfaction and work stress among Sri Lankan hotel employees and throughout the world.
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    Factors Affecting Corona Deaths in Sri Lanka: Time Series Modeling Approach
    (Faculty of Humanities and Sciences, SLIIT, 2022-09-15) Wathsala, W.A.D.R; Peiris, T. S. G.
    Whole world has been affected by COVID-19 Pandemic which kills people on a large scale. Identifying, controlling and taking preventive actions for the factors that cause such deaths is crucial. This work intends to investigate the factors affecting COVID-19 deaths reported in Sri Lanka, during the period of 2020 to 2021 by using Vector Auto Regressive model. The empirical results of the model indicated the factors that significantly affected COVID-19 deaths short term as well as long term. Short term, factors such as increase in reported new cases in the previous day, positive number of test results, additional hours per day spent at residence compared to the median value of duration stayed at residence from 3rd January to 6th February 2020(difference between the actual hours and median hours spent at residence has been considered), number of new visitors to outdoor places and a decrease in previous day’s deaths. In a long term forecast, variables such as reproduction rate, new vaccination doses, stringency index, additional time spent at residence, new users of public transport, new users of retail and recreation and new visitors to outdoor spaces significantly influence on the mortality. The Granger Causality test confirmed the past values of new cases and positive number of tests have a predictive ability in determining the present values of deaths. On the other hand, the Variance Decomposition method indicated that the variation in deaths in short term is due to deaths itself.