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<title>2024 - Volume 3, Issue II</title>
<link>http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/4667</link>
<description>SLJESIM 2024</description>
<pubDate>Mon, 20 Apr 2026 18:27:08 GMT</pubDate>
<dc:date>2026-04-20T18:27:08Z</dc:date>
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<title>2024 - Volume 3, Issue II</title>
<url>http://repo:8080/xmlui/bitstream/id/fc6fc4bc-7bc6-4ebc-986a-c95cc16e0295/</url>
<link>http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/4667</link>
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<title>Front Materials</title>
<link>http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/4673</link>
<description>Front Materials
</description>
<pubDate>Thu, 26 Dec 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-12-26T00:00:00Z</dc:date>
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<item>
<title>FACTORS AFFECTING THE MIGRATION INTENTION OF UNIVERSITY LECTURERS IN SRI LANKA (WITH SPECIAL REFERENCE TO SABARAGAMUWA UNIVERSITY OF SRI LANKA)</title>
<link>http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/4672</link>
<description>FACTORS AFFECTING THE MIGRATION INTENTION OF UNIVERSITY LECTURERS IN SRI LANKA (WITH SPECIAL REFERENCE TO SABARAGAMUWA UNIVERSITY OF SRI LANKA)
Kavishka, M.T.M.; Gunarathna, A.M.I.
University Lecturers migration is known as a type of Brain drain. It can be described&#13;
as moving a country's most talented and educated lecturers to other countries. The&#13;
migration of university lecturers in a country greatly impacts that country's higher&#13;
education and hurts the economic growth of developing economies like Sri Lanka.&#13;
The main objective of this paper is to explore the factors affecting the intention of&#13;
university lecturers to migrate to Sri Lanka. Primary data collected through direct&#13;
personal interviews and online questionnaires were used for the study considering&#13;
the convenience of the respondents. Sabaragamuwa University was selected from&#13;
other universities using the convenience selection method for this study's collected&#13;
sample size of 117 lecturers. A stratified random sampling method was chosen to&#13;
reach out to them. This was performed as a factor analysis considering the migration&#13;
intention of university lecturers as the dependent variable for the structural equation&#13;
model. The Factor analysis revealed the effectiveness of Socio-political push factors&#13;
in terms of attitudes &amp; perceived behavioral controls and Socio-political pull factors&#13;
on the migration intention of university lecturers in terms of attitude, and subjective&#13;
norms of the lecturers in a positive manner. The common impact can be seen in the&#13;
case of Economic push factors regarding subjective norms. Economic pull factors&#13;
positively influence the migration intention of university lecturers in terms of their&#13;
perceived behavioral controls. To stop university lecturers' migration, it is necessary&#13;
to apply policies to improve the quality of life of Sri Lankan university lecturers.
</description>
<pubDate>Thu, 26 Dec 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-12-26T00:00:00Z</dc:date>
</item>
<item>
<title>DETERMINANTS OF GENDER-BASED OCCUPATIONAL SEGREGATION OF EMPLOYED INDIVIDUALS IN SRI LANKA</title>
<link>http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/4671</link>
<description>DETERMINANTS OF GENDER-BASED OCCUPATIONAL SEGREGATION OF EMPLOYED INDIVIDUALS IN SRI LANKA
Madushika, P.G.H; Samaraweera, G.R.S.R.C.
Occupational Segregation by gender refers to the under-representation or over-&#13;
representation of one gender across different types of occupations. These kinds of&#13;
&#13;
labour market discriminations can harm individual earning potentials and a smooth&#13;
labour market function. The main objective of the study is to identify the factors&#13;
affecting the determination of Occupational Segregation among different genders. It&#13;
studies how the age of individuals, ethnic diversity, different marital conditions;&#13;
levels of education attained, vocational training gained, industrial and residential&#13;
sectors of individuals determine their occupational segregation. The study uses the&#13;
Labour Force Survey data of 2022 to gather data about 29,170 individuals and their&#13;
occupational status. The Multinomial Logit Regression is used to measure the&#13;
influence of each variable to determine the unequal representation across various&#13;
occupations. The findings show that non-Sinhalese individuals, person who are in&#13;
rural and estate sectors, belongings to the ever-married category under marital&#13;
status, individuals who have attained tertiary education and vocational training, as&#13;
well as people in the agricultural sector have a greater tendency to determine&#13;
occupational segregation by gender, whereas age does not affect the determination&#13;
of gender-based occupational segregation. Accordingly, it shows how individuals in&#13;
different status under all selected variables determine their employability in ‘jobs&#13;
&#13;
with male dominance’ and ‘jobs with female dominance’ with reference to ‘gender-&#13;
mixed/non-segregated occupations’. The study suggests promoting gender equality&#13;
&#13;
in most occupations in the labour market of Sri Lanka by ensuring job security among&#13;
the different genders.
</description>
<pubDate>Thu, 26 Dec 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-12-26T00:00:00Z</dc:date>
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<item>
<title>QUARTERLY TRENDS IN SRI LANKAN UNEMPLOYMENT: A GENDER AND SECTORAL ANALYSIS</title>
<link>http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/4670</link>
<description>QUARTERLY TRENDS IN SRI LANKAN UNEMPLOYMENT: A GENDER AND SECTORAL ANALYSIS
Muthumalki, H.D.; Wijesekara, N.M.; Wijebandara, W.A. Chandani
The unemployment rate serves as a critical indicator of labour market conditions,&#13;
reflecting the balance between job supply and demand. This study investigates the&#13;
quarterly variations in Sri Lanka's unemployment rate from 1990 to 2004 and from&#13;
2006 to 2022, focussing on gender and sector-specific trends. Using time series&#13;
analysis techniques, including the ARIMA (1,1,1) model, the research identifies&#13;
significant declines in unemployment over both periods and forecasts future rates for&#13;
2023 and 2024. The model selection was guided by the Akaike Information Criterion&#13;
(AIC) and Schwarz Information Criterion (SIC) to ensure accuracy. The study finds&#13;
that although the overall unemployment rate has stabilised, gender and sector&#13;
disparities persist, with female and urban unemployment remaining higher. These&#13;
findings provide critical insights for policymakers to devise targeted strategies aimed&#13;
at reducing unemployment, particularly among vulnerable groups. The results&#13;
emphasise the need for ongoing monitoring and tailored interventions to sustain&#13;
economic growth and labour market stability.
</description>
<pubDate>Thu, 26 Dec 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-12-26T00:00:00Z</dc:date>
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