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<title>23rd Academic Session - 2026</title>
<link>http://ir.lib.ruh.ac.lk/handle/iruor/21579</link>
<description/>
<pubDate>Fri, 21 Aug 2026 13:01:37 GMT</pubDate>
<dc:date>2026-08-21T13:01:37Z</dc:date>
<item>
<title>Impact of Sleep Patterns on Attention Focus during Lectures: A Perception-Based Study of Undergraduate Students.</title>
<link>http://ir.lib.ruh.ac.lk/handle/iruor/21651</link>
<description>Impact of Sleep Patterns on Attention Focus during Lectures: A Perception-Based Study of Undergraduate Students.
Garusingarachchi, S.N.; Arachchige, J.J.G.
Sleep quality and regularity are critical for maintaining attention, learning capacity,&#13;
and academic success. However, inadequate and irregular sleep remains a&#13;
prevalent concern among university students. This study examines the relationship&#13;
between sleep patterns and attention focus during lectures among Sri Lankan&#13;
undergraduates, addressing a gap in regional empirical research on student wellbeing&#13;
and learning performance. Data were collected from 161 respondents representing&#13;
both state and private universities through a structured questionnaire&#13;
based on the Pittsburgh Sleep Quality Index (PSQI) and related validated scales.&#13;
Descriptive and inferential statistical methods, including Pearson correlation and&#13;
regression analysis, were employed to assess associations between sleep duration,&#13;
quality, and perceived attentiveness. Findings revealed that nearly half of the&#13;
participants (49%) slept fewer than six hours per night, below the recommended&#13;
7–9 hours, while 54% self-rated their sleep as “good.” However, regression results&#13;
indicated no significant relationship between total sleep duration and attention&#13;
(R2 = .001, p = .632). These results suggest that sleep quality and consistency&#13;
exert a greater influence on cognitive focus than sleep quantity alone. Environmental&#13;
and behavioral factors such as irregular routines, digital device use, and&#13;
late-night study sessions also emerged as potential contributors to poor attentiveness.&#13;
The study underscores the importance of promoting sleep hygiene awareness,&#13;
stress management programs, and flexible academic scheduling in higher education&#13;
institutions. By integrating behavioral health interventions into university&#13;
support systems, educators can enhance students’ cognitive alertness, emotional&#13;
well-being, and academic engagement. These findings contribute to the growing&#13;
global understanding of how lifestyle factors impact learning outcomes, particularly&#13;
within the South Asian higher education context.
</description>
<pubDate>Wed, 04 Mar 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.lib.ruh.ac.lk/handle/iruor/21651</guid>
<dc:date>2026-03-04T00:00:00Z</dc:date>
</item>
<item>
<title>The Impact of Social Media on SMEs Growth in Rathnapura District.</title>
<link>http://ir.lib.ruh.ac.lk/handle/iruor/21650</link>
<description>The Impact of Social Media on SMEs Growth in Rathnapura District.
Wijesinghe, D.D.S.M.; Hemali, M.A.D.; Deepika, D.M.R.
This study examines the impact of social media on the growth of small and&#13;
medium-sized enterprises (SMEs) in Rathnapura District that operate in the manufacturing,&#13;
retail, service, and other sectors. Accordingly, this research focuses&#13;
on three key dimensions: mindful adoption, community building, and absorptive&#13;
capacity. Adopting a deductive, quantitative research approach with a crosssectional&#13;
survey design, this study employed snowball sampling to identify 110&#13;
SMEs actively using social media for business activities in Rathnapura District.&#13;
Primary data were collected using a structured questionnaire to ensure consistent&#13;
responses. Social media measurement used five-point Likert-scale questions, and&#13;
the target population comprised small and medium-sized enterprises operating&#13;
in the Rathnapura District. Multiple regression analysis was conducted using&#13;
SPSS to test four hypotheses examining the relationships between social media&#13;
and SMEs’ growth. The regression model accounted for 85.26% of the variance in&#13;
SMEs’ growth (R² = 0.8526, F = 204.482, p &lt; 0.000), indicating a significant relationship&#13;
between social media and SME growth. Three dimensions significantly&#13;
predicted growth: Mindful Adoption (β = 0.368, p = 0.000), Community Building&#13;
(β = 0.262, p = 0.003), and Absorption Capacity (β = 0.326, p = 0.000). Notably,&#13;
this research emphasizes that the data and dimensions provide valuable empirical&#13;
evidence of the critical role of social media in influencing the development and success&#13;
of SMEs in this region. Moreover, this research confirms that effective use of&#13;
social media can significantly improve the growth prospects of small and mediumsized&#13;
businesses in Rathnapura. It is also essential for SMEs to increase their&#13;
competitiveness in the digital economy by strategically engaging with customers,&#13;
investing in targeted advertising, and maintaining high-quality content. The findings&#13;
of this study are expected to provide valuable insights into how SMEs can&#13;
effectively use social media to accelerate growth, enhance customer engagement,&#13;
and improve business performance. The study also offers practical implications&#13;
for policymakers and business owners in developing strategies to maximize the&#13;
benefits of social media use.
</description>
<pubDate>Wed, 04 Mar 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.lib.ruh.ac.lk/handle/iruor/21650</guid>
<dc:date>2026-03-04T00:00:00Z</dc:date>
</item>
<item>
<title>Impact of Perceived Risk on Online Food Purchase Intention: Evidence from Food Ordering App Users in Sri Lanka.</title>
<link>http://ir.lib.ruh.ac.lk/handle/iruor/21649</link>
<description>Impact of Perceived Risk on Online Food Purchase Intention: Evidence from Food Ordering App Users in Sri Lanka.
Poththawela, D.D.T.R.; Madhavi, W.W.I.; Kumara, P.A.P. S.
With the change in consumer behavior, consumers in Sri Lanka have started&#13;
to use food ordering apps more than before. This is because these apps make&#13;
buying food easy and convenient. However, consumers’ intention to use these&#13;
food ordering apps has often been affected by different types of perceived risks,&#13;
including product risk, financial risk, psychological risk, and social risk. Therefore,&#13;
this study examines how perceived risks affect online purchase intention when&#13;
using food ordering apps. A quantitative method with a descriptive research&#13;
design was employed, focusing on consumers who use food ordering apps in Sri&#13;
Lanka. Perceived risk in food ordering apps was conceptualized based on key&#13;
risk dimensions: financial risk, product risk, social risk, and psychological risk. A&#13;
structured questionnaire was used to collect data from a sample of 120 consumers&#13;
who use food ordering apps, using a convenience sampling method. Cronbach’s&#13;
alpha was used to ensure reliability, and multiple regression analysis was used&#13;
to test the study hypotheses. The results revealed that only social risk (β =&#13;
-0.14, p = 0.02) has a significant negative impact on online purchase intention.&#13;
Financial risk (β = -0.16, p = 0.05) was marginally insignificant, while product&#13;
risk (β = 0.09, p = 0.29) and psychological risk (β = -0.03, p = 0.64) showed no&#13;
significant impact. Overall, only social risk significantly impacts users’ intention&#13;
to use food-ordering apps. This highlights the importance of social understanding&#13;
and its risk in influencing consumers. Businesses should try to reduce social&#13;
concerns by improving their brand image using positive feedback and social proof,&#13;
as our findings indicate that social risk significantly influences online purchase&#13;
intention. App developers can increase user trust by being transparent and adding&#13;
features that make the app more reliable. Future research could explore diverse&#13;
demographic groups and additional perceived risks that may impact the use of&#13;
food ordering apps.
</description>
<pubDate>Wed, 04 Mar 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.lib.ruh.ac.lk/handle/iruor/21649</guid>
<dc:date>2026-03-04T00:00:00Z</dc:date>
</item>
<item>
<title>The Impact of Digital Financial Literacy on Performance of Small and Medium-Scale Enterprises in Matara District, Sri Lanka.</title>
<link>http://ir.lib.ruh.ac.lk/handle/iruor/21648</link>
<description>The Impact of Digital Financial Literacy on Performance of Small and Medium-Scale Enterprises in Matara District, Sri Lanka.
Deepika, D.M.R.; Kumarasiri, P.K.N.R.
Digital financial literacy comprises the knowledge, attitudes, and skills required&#13;
to use digital technologies safely and effectively for financial tasks. This study&#13;
examines the impact of digital financial literacy on entrepreneurial performance&#13;
among small and medium enterprises (SMEs) in Matara District, Sri Lanka. As&#13;
digital transformation reshapes the entrepreneurial landscape, understanding how&#13;
digital financial competencies influence business performance becomes critical for&#13;
developing economies undergoing rapid technological change. The study adopted&#13;
a deductive, quantitative research approach with a cross-sectional survey design.&#13;
Snowball sampling was used because there was no comprehensive list of SMEs&#13;
that use digital financial tools. Primary data were collected from 114 SMEs&#13;
through a structured questionnaire adapted from validated instruments with contextual&#13;
modifications for Sri Lanka. All questions were constructed as five-point&#13;
Likert-scale items. The results of the multiple regression model indicate that&#13;
59.7% of the variance in entrepreneurial performance (R2 = 0.597, F = 32.026,&#13;
p &lt; 0.000) is predicted by digital financial literacy. Among the five dimensions&#13;
of digital financial literacy, four dimensions significantly predicted performance,&#13;
including Digital Financial Risk Control (β = 0.285, p = 0.000), Awareness of&#13;
Digital Financial Risk (β = 0.289, p = 0.005), Financial Knowledge (β = 0.193,&#13;
p = 0.031), and Digital Knowledge (β = 0.171, p = 0.044). Notably, Knowledge&#13;
of Digital Financial Services (β = 0.001, p = 0.986) did not show a significant&#13;
effect, suggesting that mere awareness of available tools is insufficient without&#13;
reliable infrastructure, user-friendly platforms, and supportive regulatory environments.&#13;
Results emphasize the need for comprehensive digital financial literacy&#13;
programs that focus on risk management and practical application rather than&#13;
basic awareness. Policymakers, financial institutions, and educational institutions&#13;
should prioritize interventions that bridge the gap between knowledge and effective&#13;
implementation. This study contributes to the literature on digital financial&#13;
literacy in developing economic contexts, providing empirical evidence from a regional&#13;
district perspective and identifying critical competencies for SME success&#13;
in digitalized markets.
</description>
<pubDate>Wed, 04 Mar 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.lib.ruh.ac.lk/handle/iruor/21648</guid>
<dc:date>2026-03-04T00:00:00Z</dc:date>
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