Symposia & Conferences
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Item Impact of Risk Management on Firms’ Financial Performance: Evidence from Licensed Commercial Banks in Sri Lanka(Department of Finance, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2025) Sandeepani, W. R. N.; Piyananda, S. D. P.Introduction: This study investigates how methods for risk management affect Sri Lankan commercial banks with permissions and their financial results. Effective risk management is now essential to maintaining the profitability and security of banks in a financial environment that is becoming more and more uncertain. The research focuses on key risk factors: nonperforming loans (NPL), loans and advance (LA), loan loss provision (LLP), liquidity ratio (LR), and return on equity (ROA). The study investigates financial statements from seven commercial banks out of the twenty-four commercial banks that are listed on the Colombo Stock Exchange. They are selected under the sufficient of data category and other banks excluded due to the insufficient of data. Methodology: All the data collected as secondary data from annual report from 2019 to 2023 of each bank and the data analyzed by using regression analysis. The data set was analyzed using EVIEWS software. Furthermore, the firm’s performance measured by Return on Asset and risk management measured by loan loss provision, loans and advances, non-performing loans and capital adequacy ratio. Findings: Loans and advances (LA) represent a critical role in improving financial performance, as the analysis shows that they have a statistically significant and positive impact on ROA. On the other hand, ROA is not significantly correlated with Loan Loss Provisions (LLP), Non-Performing Loans (NPL), Liquidity (LIQ), or the Capital Adequacy Ratio (CAR). While the model explains a moderate proportion of the variation in ROA, the adjusted R-squared suggests room for improvement in predictive accuracy. The overall model is statistically significant, with no evidence of autocorrelation in the residuals. Conclusion: In conclusion, these findings highlight the urgent need for more empirical and theoretical research to strengthen the model's explanatory power, improve its predictive stability, and provide a more comprehensive, complex understanding of risk management's multiple influence on bank performance, operational efficiency, and financial stability.Item Evaluating the Success Factors of Enterprise Resource Planning(Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka, 2016) Gomes, C.C.; Thilakarathne, C.R.Many organizations have not invested adequate time when it comes to software selection, business case justification, benefits realization or post-implementation audits when there are using ERP systems. In light of such a high failure rate, many authors have proposed success measurement models in order to identify success factors that would help organizations to achieve success in ERP implementation. The purpose of the study is to provide a set of guidelines in the form of a model that would present critical success factors that needs to be considered when Implementing ERP systems. This could be beneficial for a project team that is handling ERP implementation. As mentioned in previous chapters, research on ERP success factors has been either conducted using IS models or through research conducted with focus on ERP implementation process. The study also aims to clarify the relationship between these two approaches. The research takes a deductive approach. A quantitative research method is selected to felicitate the deductive approach taken to conduct the research. A Judgmental or Purposive sampling technique is used in order to conduct the survey. The people chosen for the sample should be key informants on ERP systems. Fully structured questionnaire was used which covers the selected dimensions and identified factors derived from secondary research. Factor analysis applied in the analysis to identify the relationships between different factors and examine the significance of each factor. Factors under management not only has an effect towards the IS success measurement models but also throughout the ERP implementation process. Hence IS models need to take into account of the effect that management factors have towards the IS success measurements.