Browsing by Author "Nagendrakumar, N."

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COVID-19 MODIFYING THE DYNAMICS OF FINANCIAL REPORTING: AN EXPLORATORY STUDY
(SLIIT Business School, 2019-12-10) Nagendrakumar, N.; Lokeshwara, A.A.; Naresh, R.; Abeywickrama, D.P.; Hewaarachchi, S.H.; Edirisinghe, A.M.I.E.
The COVID-19 pandemic has influenced many business sectors worldwide, including the Accounting and Finance reporting perspectives. This motivated the researchers to investigate how the pandemic has affected the financial reporting of listed companies in the Sri Lankan context. It was evidenced that the empirical studies on the influence of COVID-19 on corporate financial reports based on accounting standards and techniques are still in the beginning stages; therefore, this paper sets the foundation in bridging the existing knowledge gap by examining how Covid-19 has modified the dynamics of financial reporting. This study is exploratory in nature, and the researchers adopted interpretivism philosophy and have used an inductive approach in conducting the research. The case study method was adapted, where in-depth and semi-structured interviews were applied to collect data. The study population is one hundred and fifty-eight (158) companies consisting of six (6) sectors: Banking, Materials, Consumer services, Diversified financials, Capital goods, and Telecommunication in Colombo Stock Exchange, out of which seven (7) sub-cases were chosen under the purposive sampling technique and the collected data were analyzed on thematic procedures using the Wordcloud analysis tool. Based on the findings, it was revealed that reporting aspects of different sectors were influenced differently by COVID- 19. LKAS 1(Going concern), LKAS 2 (Inventory), LKAS 16 (Cost of depreciation), SLFRS 13 (Fair value measurement) are a few of the standards generally mentioned by the respondents. The result of this study contributes to filling the existing knowledge gap and will be a value addition to contemporary academia.
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Determinants of Turnover Intention of Sewing Machine Operators in Sri Lanka
(SLIIT Business School, 2019-12-10) Nagendrakumar, N.; Dissanayake, L.D.A.D.; Guruge, P.R.G.; Panagoda, K.D.; Jayasekara, M.E.N.; Kavindya, M.A.P.
This study aims to identify the relationship between the determinants of the turnover intention of SMO’s in the apparel industry in Sri Lanka. The study adopted the deductive approach using the judgmental sampling in selecting the factories of four and the convenient sampling in selecting the respondents of 321. A structured questionnaire was administered, and the number responded was 274. The Pearson correlation was employed in testing the hypotheses and the study found that the job condition, living and social condition, personal characteristics, HRM activities, negating sexual harassment, and responsibilities are the significant determinants of the turnover intention of SMO's in the apparel industry in Sri Lanka. This study highlights the importance of having a policy decision to reduce the turnover intention of SMOs in the apparel industry since the apparel exports hold a prominent place in Sri Lankan economy as its contributions cover a significant portion of the country's exports.
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Modelling and Forecasting Tourist Arrivals in Sri Lanka
(SLIIT Business School, 2021-12) Nagendrakumar, N.; Lokeshwara, A.A.; Gunawardana, S.A.D.C.K.; Kodikara, U.P.; Rajapaksha, R.W.N.H.; Rathnayake, K.R.M.C.S.
The Sri Lankan tourism industry contributes significantly to economic development through diversified mechanisms of revenue generation and for creation of employment opportunities. The tourism industry is volatile and easily affected by man-made or natural catastrophes: terrorism, financial crisis, and tsunamis. The racial dispute among Sri Lankan government forces and Liberation Tigers of Tamil Elam, which started in the 1980s spanned over thirty years and adversely affected the development of the tourism sector. However, with the conclusion of the ethnic strife in 2009, tourism started to boom. The objective is to estimate and forecast tourist arrivals for the tourism industry from August 2021 to August 2025. This study used monthly tourist arrivals from January 2000 to July 2021 to predict values for August 2021 to August 2025 and evaluates against the actual, based on the number of visitor arrivals. Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) was used to model the visitor arrivals to Sri Lanka by evaluating the study period and have applied the Standard ARIMA model to achieve the research purpose. Monthly tourist arrival data obtained from the Sri Lankan Tourism Development Authority and diagnostic test statistics, including autocorrelation and partial correlation, were used to examine the parameters of ARIMA. The results revealed civil was has impacted on tourist arrivals and was further noted that terrorism affected tourist arrivals negatively. In addition, the findings showed that the forecasted tourist arrivals were substantially less than the actual, which indicated that the Sri Lankan tourism industry rebounced shortly after the three-decade long civil war. Hence, this analysis highlights the potential of the Sri Lankan tourism industry to recover rapidly from shock events. Moreover, it is advantageous for policymakers, academia, society, and the government of Sri Lanka to set up the national tourism framework and also align the crisis management process effectively.