http://drr.vau.ac.lk/handle/123456789/979 2026-04-05T18:50:36Z 2026-04-05T18:50:36Z Aluvihare, H.H. Deyshappriya, N.P.R. Fernando, A.G.N.K. http://drr.vau.ac.lk/handle/123456789/955 2025-03-13T18:31:43Z 0001-06-23T00:00:00Z

Factors Influencing Cryptocurrency Adoption: A Study of University Students, Professionals, and Investors in Sri Lanka Aluvihare, H.H.; Deyshappriya, N.P.R.; Fernando, A.G.N.K. This study aims to understand the beliefs and perceptions on the usage of cryptocurrency in the context of Sri Lanka. At the outset of the growing global demand for digital currencies and the limited number of cryptocurrency users in Sri Lanka, the research attempts to identify the factors that influence individuals' intention to use cryptocurrency in the country. The study collected primary data from a sample of 311 participants, including university students, professionals, and investors in Sri Lanka, and employed Structural Equation Modelling (SEM) to accomplish the objectives of the study. The results reveal that perceived benefits, perceived value, structural provisions, and attitudes toward using cryptocurrency significantly influence individuals' behavioral intention to adopt cryptocurrency. However, the hypotheses related to perceived risks, social effects, the moderating effect of self-efficacy, and personal inventiveness are found to be statistically insignificant. Thus, the tested model and its results provide insights for improving cryptocurrency adoption and usage in Sri Lanka, offering guidance for businesses and policymakers in promoting and facilitating the use of digital currencies among the population

0001-06-23T00:00:00Z Larojan, C. http://drr.vau.ac.lk/handle/123456789/954 2025-03-13T18:31:46Z 0001-06-23T00:00:00Z

The Influence of Asset Quality on Financial Performance: Evidence from Sri Lankan Banking Industry Larojan, C. The banking industry of Sri Lanka is now being burdened by the increasing levels of Non-Performing Loans (NPLs) during and after the COVID-19 and subsequent economic crisis. The objectives of this study were to investigate the influence of asset quality on the financial performance of the banking industry and to identify the relationship between asset quality and the financial performance of the banking industry in Sri Lanka. The asset quality was measured by the Net NPLs to Total Loans and Advances (NNPLTLA), Total Provision Coverage Ratio (TPCR), Foreign Currency Denominated Loans to Total Loans and Advances (FCDLTLA) and Investments to Total Assets (ITA). The financial performance was measured by the Return on Assets (ROA), Return on Equity (ROE), Efficiency Ratio (ER) and Net Interest Margin (NIM). The data was extracted from the data sheets of Central Bank of Sri Lanka (CBSL) spanning the period from the year 2008 Quarter 1 to 2021 Quarter 3. For this purpose, a time-series data of 55 observations was used. An exploratory research design was adopted in this study. The analysis revealed that NPLTLA was statistically significant and negatively influenced on ROA and ROE. The NPLTLA was statistically significant and positively influenced on ER and NIM. The FCDLTLA was statistically significant and negatively influenced on ROA, ROE and NIM while negatively insignificant on ER. The results further indicated that the TPCR had insignificantly related with ROA, ROE and ER and statistically significant and positively influenced on NIM. The ITA had insignificantly influenced on ROA and ROE. The ITA significantly and negatively influenced on ER and Nim. The findings of this study will be useful to the banks of Sri Lanka, equity investors and future researchers since it uses the time series data of banking industry to investigate the influence of asset quality on profitability

0001-06-23T00:00:00Z Koperunthevy, K. Thayaparan, A. Godwin Phillip, P.M. http://drr.vau.ac.lk/handle/123456789/953 2025-12-23T11:28:29Z 0001-06-23T00:00:00Z

Determinants of Household Food Security in Northern Province, Sri Lanka Koperunthevy, K.; Thayaparan, A.; Godwin Phillip, P.M. The study focused on determining the key factors influencing food security in Sri Lanka's Northern Province. It employed a multi-stage sampling method involving 93 Grama Niladhari (GN) divisions selected through stratified random sampling. Subsequently, 909 households were randomly chosen for data collection between November 2021 and February 2022. A meticulously designed questionnaire was utilized to gather information from households in the study region. Various analytical methods were employed, such as descriptive statistics, correlation analysis, Lin-log, and Tobit models. The Lin-log model findings highlighted that the growth in food expenditure was comparatively lower than the increase in total Expenditure. Additionally, the food security index revealed that only about one-third of households experienced high food security in the area. The Tobit regression model results indicated that factors like age, family size, total income, gender, and place of residence had a negative impact on the food security index. Conversely, the level of savings demonstrated a positive correlation with the food security index. These findings shed light on the complex interplay of socio-economic factors affecting regional food security.

0001-06-23T00:00:00Z Tennakoon, W.D.N.S.M. Janadari, N. http://drr.vau.ac.lk/handle/123456789/952 2025-03-13T18:31:42Z 0001-06-23T00:00:00Z

Psychometric Measure of Economic Sustainability of Small and Medium Enterprises: An Empirical Validation Tennakoon, W.D.N.S.M.; Janadari, N. Empirical validation of a good psychometric measure to assess Economic Sustainability (ES) felt utmost critical in the domain of sustainable development. In the quantitative deductive tradition, this paper attempted to make available the empirical evidence for the ES measure developed by Matinaro et al. (2019) in the SME context of a developing country: Sri Lanka. 361 SMEs of three main categories were surveyed twice within one year, with their owners and managers directly involved in the surveyed SMEs' strategic, managerial, and operational functions. Eight dimensions of the sustainable economic performance of SMEs were evaluated based on the 24-item measure with a seven-point response scale. The confirmatory factor analysis was equipped to evaluate the instrument’s measurement properties. The results empirically proved the soundness of some measures in terms of validity and reliability

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