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<title>Department of Management</title>
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<dc:date>2026-04-19T19:23:15Z</dc:date>
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<item rdf:about="http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/4824">
<title>SKILL GAP ANALYSIS OF THE MIGRANT WORKERS OF BANGLADESH</title>
<link>http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/4824</link>
<description>SKILL GAP ANALYSIS OF THE MIGRANT WORKERS OF BANGLADESH
Islam, Md Shahedul
Bangladesh, the eighth most populous and most densely populated country in the world,&#13;
faces severe challenges as its population exceeds the available land and resources. This&#13;
imbalance has resulted in widespread unemployment and underemployment, placing&#13;
immense pressure on the economy, social safety nets, basic human needs, and the Human&#13;
Development Index (HDI). In response, large-scale migration for employment began in&#13;
the 1970s, primarily toward Middle Eastern countries. Today, overseas employment has&#13;
become a critical driver of foreign currency earnings, contributing approximately 27&#13;
billion United States dollars (USD) in 2024, or 5.3% of the Gross Domestic Product&#13;
(GDP). This trend is expected to accelerate. However, the overseas employment sector&#13;
has long faced numerous challenges, exacerbated by the rapid rise of automation and&#13;
digitalization in the era of Industry 4.0, as a large proportion of Bangladeshi migrant&#13;
workers remain unskilled and less educated. Skilled workers earn significantly more than&#13;
unskilled workers, enjoy greater job security, and benefit from improved working and&#13;
living conditions.&#13;
This study explores the critical skill development needs in the service sector of Gulf&#13;
Cooperation Council (GCC) countries for skilled and semi-skilled jobs, identifying both&#13;
the skill needs and skill gaps among Bangladeshi workers. The research employed an&#13;
exploratory sequential mixed-methods approach, combining qualitative data from 12 Key&#13;
Informant Interviews (KIIs) with quantitative analysis based on surveys of 100 employers&#13;
and 408 workers. Grounded in Human Capital Theory, which asserts that investments in&#13;
skills directly improve productivity and earning potential, the study followed a systematic&#13;
analytical process involving reliability tests (Cronbach’s Alpha = 0.944), sample&#13;
adequacy tests (KMO = 0.911), and correlation and regression analysis (R = 0.940; R² =&#13;
0.883).&#13;
The findings reveal significant skill gaps among Bangladeshi workers, including lack of&#13;
experience, inadequate educational backgrounds, absence of professional technical skills,&#13;
poor language proficiency, and deficient communication skills. Statistical analysis shows&#13;
that technical training (Beta = 0.684, p = 0.000) and work experience (Beta = 0.224, p =&#13;
0.000) are strong predictors of higher earnings. English-speaking and writing proficiency,&#13;
educational qualifications, ICT skills, manners and etiquette, cultural awareness, and&#13;
basic knowledge of legal aspects were also found to influence wage earnings.&#13;
8&#13;
To develop the aforementioned skills among Bangladeshi workers, the study recommends&#13;
strengthening the vocational and technical education system, improving ICT skills,&#13;
enhancing language proficiency, and developing soft skills such as communication,&#13;
manners and etiquette, and cultural adaptability. Furthermore, the study advocates for the&#13;
establishment of a standardized national certification system aligned with GCC market&#13;
requirements. These measures are expected to improve the skill levels of Bangladeshi&#13;
workers, ultimately enhancing the employability and earning potential of Bangladeshi&#13;
migrant workers.
This thesis is submitted for the degree of Doctor of Philosophy.
</description>
<dc:date>2026-04-19T00:00:00Z</dc:date>
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<item rdf:about="http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/4776">
<title>Factors Affecting Adoption of Human Resource Information Systems by Small and Medium Enterprises in Bangladesh</title>
<link>http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/4776</link>
<description>Factors Affecting Adoption of Human Resource Information Systems by Small and Medium Enterprises in Bangladesh
Jabber, Mohammad Abdul
This study empirically examines the factors influencing the adoption and use of Human Resource Information Systems (HRIS) among Small and Medium Enterprises (SMEs) in Bangladesh. Devising an integrated model based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), Task-Technology Fit (TTF), and Revised Theory of Planned Behavior (RTPB), the research identifies both individual and organizational determinants of HRIS adoption. Data were collected from 708 human resource managers and administrative officers from SMEs and were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal SMEs in Bangladesh primarily use HRIS for administrative purposes, with limited engagement in its strategic and analytical applications. In terms of adoption factors, performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, task-technology fit, and firm maturity significantly influence HRIS adoption and use behavior. The findings further underscore the moderating effects of SME size on multiple adoption relationships. The study offers practical and theoretical insights to support effective HRIS implementation in the context of emerging economies.
This thesis is submitted for the degree of Doctor of Philosophy.
</description>
<dc:date>2026-03-02T00:00:00Z</dc:date>
</item>
<item rdf:about="http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/4732">
<title>Impact of Microcredit on the Rural Poverty   Alleviation in Bangladesh: An Evaluation</title>
<link>http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/4732</link>
<description>Impact of Microcredit on the Rural Poverty   Alleviation in Bangladesh: An Evaluation
Mistry, Kalyan
The 21st century global development economy has been enriched and enlightened with &#13;
the rapid expansion of microcredit (MC) that works for eradicating poverty and &#13;
promoting human potentiality in order to build a poverty-free better world for the &#13;
upcoming generations. The thousands of millions of MC members especially the &#13;
downtrodden, destitute, rural poor women are fighting against poverty and changing their &#13;
fate with the help of MC. For this reason, the scientist community and the climate expert &#13;
groups of the world including Intergovernmental Panel on Climate Change (IPCC) have &#13;
also recommended microcredit for reducing climate vulnerability and educating climate &#13;
adaptation (Cannon, 2002; Fenton et al. 2017; Heltberg and Jorgensen, 2009; Hammilli, &#13;
et al. 2008, IPCC, 2001).  &#13;
The principal objective of this study is to examine the impact of microcredit on the rural &#13;
poverty alleviation in Bangladesh. For doing this examination, an integrated theoretical &#13;
framework, has been developed based on the previous related literature review. All items &#13;
of the framework have been adapted from the related studies. &#13;
A field survey was conducted amongst 430 respondents across the whole Bangladesh. &#13;
Partial least square (PLS)-structural equation modeling (SEM) was deployed for &#13;
examining the validity of the theoretical framework and testing the hypotheses. The &#13;
research model of this study was tested using the SmartPLS 4.0. The research model test &#13;
was constructed with two stages—one is measurement model test and another is &#13;
structural model test (Crocker, L. and Algina, J. 1986 and Hair, J.F. et al. 2009). &#13;
Measurement model and structural model tests were dully measured. Besides these tests, &#13;
eight case studies, selected one case from each division of Bangladesh, and descriptive &#13;
analysis, social-cost benefit analysis (SCBA) were also done.     &#13;
There are 9 hypotheses in the study. All of them have been accepted in the hypotheses &#13;
test. As an advanced test, specific indirect effects were also tested for making the &#13;
analysis more perfect, credible and acceptable. The result of hypotheses test is given &#13;
below:
This thesis is submitted for the degree of Doctor of Philosophy.
</description>
<dc:date>2025-11-05T00:00:00Z</dc:date>
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<item rdf:about="http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/3600">
<title>Organizational Training Environment and Training Effectiveness: The Mediating Role of Motivation</title>
<link>http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/3600</link>
<description>Organizational Training Environment and Training Effectiveness: The Mediating Role of Motivation
Hoque, Mahanaz
The study titled Organizational Training Environment and Training Effectiveness:&#13;
The Mediating Role of Motivation investigates into the complex relationships that&#13;
shape the effectiveness of training programs within organizational settings.&#13;
Recognizing the essential role of the training environment, this research explores its&#13;
impact on training outcomes, further nuanced by the mediating influence of training&#13;
motivation. In alignment with established literature, the results affirm a positive&#13;
relationship between the organizational training environment and training&#13;
effectiveness. This research reinforces the fundamental significance of a supportive&#13;
training context in optimizing training outcomes, grounding these principles in a&#13;
contemporary organizational context. Moreover, the research identifies training&#13;
motivation as a significant mediator in the association between the organizational&#13;
training environment and training effectiveness. This research emphasize the centrality of&#13;
trainees' motivation in shaping training outcomes, extends the understanding by&#13;
delineating a specific mediation pathway within the organizational training&#13;
environment.&#13;
Methodologically, the application of Structural Equation Modeling (SEM) provides a&#13;
robust statistical framework for scrutinizing the intricate relationships among the&#13;
organizational training environment, training motivation, and training effectiveness,&#13;
thereby contributing to the methodological rigor of the research. This study used&#13;
quantitative approach. The primary data collected through structured questionnaire on the&#13;
basis of 5 point scale from 420 bankers of 18 banks in Dhaka, Chottogram, Rajshashi and&#13;
Khulna of Bangladesh based on simple random sampling. Collected data analyzed through&#13;
demographic, descriptive and structural equation modeling by using SPSS 23 and&#13;
SmartPLS 4. Reliability assessed through Cronbach’s alpha and Validity through AVE.&#13;
x&#13;
The study used SPSS 23 for descriptive statistics and SmartPLS 4 for hypothetical&#13;
relationship among the variables in SEM Analysis.&#13;
The study found reliability through Cronbach's alpha should be greater than 0.70.&#13;
(Nunnally, 1978). All the items of study with a threshold value greater than 0.70 (Hair et&#13;
al., 2019) that indicate reliability (Table 5.14). Validity measured on the basis of AVE and&#13;
HTMT (Hair et al., 2010). Average Variance Extracted (AVE) with a threshold value of&#13;
0.50 should be used to identify convergent validity (Fornell &amp; Larcker, 1981; Hair et al.,&#13;
2019). All the AVE value of constructs more than .50 (Table 5.18) and that indicate study&#13;
is valid. The HTMT analysis revealed that the HTMT ratios were all below the threshold of&#13;
0.85 (Table 5.19), indicating that these constructs exhibit discriminant validity (Henseler et&#13;
al., 2015; Hair et al., 2019). Similarly, the HTMT ratios between training effectiveness and&#13;
training motivation were also below the threshold, further confirming the distinctiveness of&#13;
these constructs (Hair et al., 2019). I examined several key fit indices, including the&#13;
Normative Fit Index (NFI), and Standardized Root Mean Square Residual (SRMR). These&#13;
indices collectively provide insights into different aspects of model fit, including goodnessof-&#13;
fit, parsimony, and approximation error (Hair et al., 2019; Kline, 2016). Collectively,&#13;
the results of our model fit analysis indicate that the proposed research model aligns well&#13;
with the observed data (Table 5.23). Path coefficients play a crucial role in structural&#13;
equation modeling (SEM) as they quantify the strength and direction of the relationships&#13;
between variables in a hypothesized model threshold value below .05 (Hair et al., 2019;&#13;
Kline, 2016). The study found that all hypothesized relations are supported (Table 5.25 and&#13;
5.26) that indicates organization training environment has significant impact on training&#13;
effectiveness with mediating role of motivation.&#13;
The theoretical implications of this research shed light on the complicated relationships&#13;
within organizational training, emphasizing the mediating role of Training Motivation in&#13;
xi&#13;
the connection between the training environment and effectiveness. This contributes to the&#13;
existing theoretical framework by offering a good appreciative of how motivational factors&#13;
influence the translation of a supportive training environment into tangible training&#13;
outcomes. On a practical level, organizations can leverage these findings to enhance their&#13;
training programs by fostering a conducive learning environment and understanding the&#13;
important role of motivating trainees. Aligning training strategies with the identified&#13;
mediation pathway may lead to more impactful and tailored interventions, ultimately&#13;
optimizing the effectiveness of organizational training initiatives. This research provides a&#13;
valuable bridge between theory and practice, offering actionable insights for organizations&#13;
aiming to refine their training approaches and achieve tangible results.
This Dissertation is submitted to the Faculty of Business Studies, University of Dhaka as Fulfillment of the Requirement for the Degree of Doctor of Philosophy (Ph.D.) in Management.
</description>
<dc:date>2025-02-10T00:00:00Z</dc:date>
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