Research Publications

Now showing 1 - 4 of 4

Open Access
Study on the Behavioral Intention to use Cryptocurrency Market among Non-State University Students in Sri Lanka
(SLIIT,Business School, 2022-06) Maduranga H.A.C.P; Bandara H.M.C; Nipuna Ravishka E.A; Ranjitha H.D.K; Dissanayake, L.D.A. D.
The rise of cryptocurrency in the modern digital economy is relatively new and evolving rapidly. Due to the intricate structure and insufficient knowledge about cryptocurrencies, it's use is limited to industrialized countries. The study consists of four independent variables: awareness, trust, ease of use, and risk. The dependent variable is cryptocurrency behavioral intention. A survey of 380 undergraduates is undertaken to get information on respondents' perceptions of cryptocurrency's attributes and their intention to invest in it in the future. Pearson Correlation analysis is being utilized to study the relationship between awareness, trust, ease of use, risk, and behavioral intention of cryptocurrencies as the major purpose. The dependent variable and Cryptocurrency Factors have a positive relationship, with a 0.01 level of significance for correlation. We adopted snowball sampling technique as the survey's sample design based on survey's results. Furthermore, the data is analyzed for reliability and validity using AMOS statistical software. Two of the four hypotheses were not supported while the other two were significantly supported. The study's findings enhance to undergraduates' potential investment opportunities in cryptocurrency and validate the level of accuracy of cryptocurrency knowledge among undergraduates in developing countries. By studying human behavior, researchers can better predict the prospects for future cryptocurrency adoption and success.
Open Access
Construction Project Risk Management for Performance Improvement (Polgahawela-Pothuhera-Alawwa Integrated Water Supplying Project)
(SLIIT, 2022-02-11) JAYASINGHE, S. M. I. A.; WEERAKKODY, F
Construction risk management can be defined as the avoidance or the reduction of possible harmful incidents or actions in a construction project. It can be one of the most important factors in a construction project. Depending on the nature of the project, types of risks can be very wide in its range. Understanding the risk factors and the proper management of them, can lead a project to be completed on schedule, avoiding budget overruns whilst ensuring the safety and welfare of all the project participants. This research aims to identify the risks and their possible impacts on a specific construction project. The selected project is the construction of the Polgahawela-Pothuhera-Alawwa Integrated Water Supplying scheme located in the North-Western province of Sri Lanka. Risks categorized under the different sectors such as financial management, technical, quality, health, and safety, environment, social, legal and political were considered in the research but limited to the construction phase of the project. The methodology for this study is based on ISO 31000, which includes risk identification, risk analysis, risk evaluation and risk mitigation. To identify the relevant risks of the project, a structured interview using a questionnaire was conducted among selected project participants. In making the assessments founded on the responses received, weighted credits were assigned based on the academic and professional qualifications of the respondents. The responses were utilized in this manner to develop a listing of risk and its consequences. This highlighted the more severe risks enabling recommendations to be made to mitigate and manage such risks. The risk management process together with knowledge from previous literature was used in making recommendations to mitigate and manage risk towards project performance improvement. It should be noted that the findings could be of benefit to future contractors associated with similar projects.
Embargo
Assessment of System Reliability in Presence of Cyber Attack Risk on PMU Data
(IEEE, 2018-12-21) Hettiarachchige-Don, A. C. S; Manoharan, A. K; Pedaprolu, L. G; Pedaprolu, V
This paper provides an assessment of the effect of Synchrophasor Measurement Units in improving power system reliability. First, an overview of cyber threats to PMU networks is given where the possible vulnerabilities of the network to malicious data manipulation are studied. The addition of PMUs to the power system infrastructure would offer greater observability in the system and thus mitigate the risk of transmission line failure due to thermal overloading. However, the addition of PMUs opens the system to cyber threats that might, in fact, lower system reliability. The analysis in this work looks at the effect of these threats on the overall system reliability of a real system layout based on real PMU data obtained from a utility. The benefit to a utility in including PMUs under the varying levels of cyber threat is also studied.
Embargo
Investment risk concepts and measurement of risk in asset returns
(MCB UP Ltd, 1995-01-01) Alles, L. A
The theory of finance is built around return and risk concepts and a basic tenet of finance is that there is a trade off between the risk and returns of assets. As such the measurement of risk goes to the very core and foundation of the theory of finance. Given that the main theories of finance have been maturing over several decades of discussion and debate, one would imagine that a concept as fundamental as the measurement of risk would be a well settled issue by now. On the contrary, the recent finance literature shows ample evidence that risk measurement and risk concepts are drawing continued scrutiny from academic researchers. This is because there are several alternative, and competing ways in which risk can be conceived of and it is not clear which of the alternative concepts is most appropriate. Each concept of risk can be measured or estimated in several ways as well. Estimation methods can be diverse in their precision. Risk measurement can be further complicated by the fact that risk is not a static feature. Risk changes over time. Whether risk changes can be modelled satisfactorily is a major challenge taken up by researchers.

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