Browsing by Author "Rathnayake, NM"

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    item: Conference-Full-text
    A Dividend or detriment? effect of WFH on work-life balance of software engineers. a structural equation modeling based empirical investigation carried out during covid-19
    (Business Research Unit (BRU), 2022-12-01) Yasara, UPI; Ruwanpura, DN; Nambugoda, MWAMSPB; Jayasekara, LPM; Weerarathna, RS; Rathnayake, NM
    Once the Covid-19 pandemic broke out, traditional workplaces were transformed into online workstations, forcing people to embrace the notion of Work From Home (WFH). This study focuses on the WFH ideas related to work-life balance as now formal work is done under the roof of the home, blurring the boundary between work and family. Thereby, the study unveils the impact of WFH on Sri Lankan software engineers' work-life balance. Further, considering the cultural background of Sri Lanka, the study examines the moderation effect of gender on the above relationship. Researchers collected 314 valid responses using a questionnaire circulated online for data gathering. The Partial Least Squares Structural Equation Modeling (PLS-SEM) technique was utilized to analyze the data using SmartPLS 3.3.9 software. Once testing the hypothesis empirically, the study results showed that WFH significantly affects work-life balance, but gender does not serve as a moderator. The study suggests that software engineers should focus more on exercising the best WFH practices with self-motivation to lead an equilibrium in work and life. Organizational procedures also seem to be essential in this setting in providing employees with a smooth and supportive WFH environment. This investigation is fruitful and offers unique insights for workers who WFH to establish a balance between work and life and eventually have a content workforce despite the Covid-19-driven hardships in Sri Lanka.
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    item: Conference-Full-text
    Factors that impact the selection of bio science stream in the G.C.E advanced level in the western province, Sri Lanka
    (Business Research Unit (BRU), 2022-12-01) Weerarathna, RS; Rathnayake, NM; Subendran, G; Sivagnanasothy, E; Naguleswaran, L; Rathnayaka, R
    The choice of stream in upper secondary education is a turning point for every student for a successful career in the future. The education system in Sri Lanka has five streams—Biological Science, Physical Science, Commerce, Arts, and Technology—and the Biological Science stream is important in national development. The students who select the Biological Science stream in upper secondary education are influenced by several factors, showing a declining trend in Western Province, Sri Lanka. Accordingly, this research aims to identify the factors affecting the selection of the Biological Science stream in G.C.E Advanced Level (G.C.E A/L) in the said region and to examine the impact of those factors. The study identified self-efficacy, career opportunities, and normative social influence as the factors impacting the selection of the Biological Science stream. Data for this study were collected using a mixed method: Primary data was collected using structured interviews and a questionnaire survey. Twenty students were interviewed using convenience sampling, and a questionnaire survey was conducted on a sample of 370 students using a simple random sampling technique. Data were analysed using thematic and multiple regression analysis. According to the regression model, the study recognized that career opportunities and self-efficacy are the most significant factors which impact the selection of the Biological Science stream. The findings suggest improving the quality of the Biological Science curriculum in the G.C.E A/L examination and encouraging students to continue their studies in the Biological Science field, thereby further contributing to national development. This research provides information to stakeholders such as students, parents, educators, and the government for making different policy decisions.
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    item: Conference-Abstract
    A Framework for adaptive user interface generation based on user behavioural patterns
    Rathnayake, NM; Meedeniya, DA; Perera, I; Welivita, A
    The concept of adaptivity is crucial in enterprise software systems with a large user base. Adaptive user interfaces (AUI) is an emerging research area that enables customized user experience based on user activities. Most of the existing studies that are in the conceptual level do not provide production level adaptivity for mainstream user interaction. This paper presents a generic software platform for automatic AUI generation by analyzing user behaviour patterns and customizing web user interfaces using machine learning. AdaBoost classifier showed 100% accuracy for large UI components and user scenarios (n=800). The AUI generator supports the configuration and automation of capturing user behaviour, data storage, processing, querying analysis results and dynamic rendering of the user interface. AUI platform had SUS value of 80.75. The SUS scores for the UIs without AUI was 57.3 and with AUI scored 64.35 on average. The proposed AUI platform provides production level UI design means to meet dynamic adaptability on user traits.