FMDS Theses and Dissertations
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Theses and dissertations by graduate students from the Faculty of Management and Development Studies.
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ItemJob Satisfaction & Turnover Intention Among Filipino Operating Theatre Nurses Working in Australia( 2026)The aim of this research is to find a correlational analysis between job satisfaction and turnover intention among Filipino Operating Theatre Nurses working in Australia, specifically in the Lower Hunter Region of New South Wales, in both public and private settings. A quantitative, non-experimental, descriptive correlational study, survey questionnaire was used for this study with a sample size of 60. The target population was current full-time Filipino registered nurses with at least one year of employment within their organization. Snowball sampling was used to select participants for the survey. The research utilized descriptive statistics to analyze demographic data and inferential statistics to draw correlations between the variables. The findings revealed that no significant relationship was found between general job satisfaction and turnover intention among the nurses. The same lack of significance was observed for the sub-factors (intrinsic and extrinsic factors). This may indicate that the nurses’ desire to stay in their current workplace does not affect the level of satisfaction they feel about their current job. Consequently, the result of the study may serve as a baseline data on future investigation and analysis on the topic. Modifying the demographic profile, the area of practice and even the research setting affect the participants’ perceived level job satisfaction & turnover intention and any alterations may confer different research results.
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ItemCoastal Resource Management Assessment of Awareness, Participation, Knowledge and Attitude, and Perceived Importance to Senior High School Students from selected Public High Schools in Valenzuela City( 2026)This study investigates the levels of awareness, participation, knowledge, and attitudes toward Coastal Resource Management (CRM) among Senior High School students in Valenzuela City, a landlocked urban area with indirect links to coastal ecosystems. Employing a mixed-methods approach, quantitative data from surveys revealed moderate awareness of CRM, with strengths in recognizing coastal ecosystem importance and pollution impacts, but notable gaps in knowledge of specific mechanisms like MarineProtected Areas (MPAs). Qualitative insights highlighted barriers to participation, including academic workloads and limited opportunities, underscoring the need for hands-on initiatives such as field trips and clean-up drives. Demographic analyses showed no significant differences between Grade 11 and Grade 12 students, aligning with Kitolelei and Sato (2016). However, variations emerged across academic strands, with STEM and social science students exhibiting higher participation, knowledge, and perceived importance. Gender differences were evident, as female students displayed greater awareness and commitment, consistent with prior studies (Kitolelei & Sato, 2016). Positive correlations among awareness, participation, knowledge, attitudes, and perceived importance affirmed their interconnectedness, supporting Libelo and Tracy (2022) on awareness campaigns fostering responsible behaviors. Recommendations include integrating CRM modules into curricula, promoting experiential activities, developing gender-sensitive campaigns, tailoring programs to academic strands, fostering collaborations with local organizations, and leveraging social media. These strategies aim to empower inland youth as stewards of coastal sustainability, bridging urban-rural divides for effective Integrated Coastal Management (Sabai, 2023).
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ItemGIS-Based Spatio-Temporal Analysis of Land Cover Changes in Barangay Monte Calvario within the Buhi-Barit Watershed, Buhi, Camarines Sur (2015-2024)(University of the Philippines Open University, 2026)This study titled “GIS-Based Spatio-Temporal Analysis of Land Cover Changes in Barangay Monte Calvario within the Buhi-Barit Watershed, Buhi, Camarines Sur (2015– 2024)” examined the spatial and temporal patterns of land cover transformation and their implications for watershed health and sustainability. Using Geographic Information Systems (GIS), Sentinel-2 satellite data, and National Power Corporation (NAPOCOR) land cover maps, the research analyzed environmental dynamics over a nine-year period. The findings revealed a dominant tree cover that expanded from 83% in 2017 to nearly 90% in 2024, reflecting ecological regeneration and reforestation efforts. However, concurrent increases in built-up areas and transitions in cropland and rangeland underscore continuing anthropogenic pressures from agriculture and settlement expansion. The integration of ground truthing proved vital to the accuracy of this study, as field validation uncovered misclassified features such as informal housing, mixed cropping systems, and degraded lands inaccurately represented in satellite imagery. These findings highlighted the limitations of remote sensing alone in heterogeneous rural landscapes and reinforced the need for a hybrid approach that combines geospatial analysis with on-site verification. Recommendations emphasize adopting a hybrid monitoring framework that institutionalizes regular ground truthing alongside satellite- based classification to improve land use mapping, policy planning, and watershed governance. Such integration ensures data accuracy, supports participatory management, and strengthens adaptive, community-based environmental strategies. Ultimately, the study contributes to developing sustainable and climate-resilient land use policies that balance ecological preservation and local development within the Buhi-Barit Watershed system.
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ItemAssessing Strategies for Retaining Internationally Trained Personnel at a Public Rice Research Center(University of the Philippines Open University, 2026)Despite the high rate of returning international scholars at the National Grain Innovation Center (NGIC), a critical need remains to strengthen institutional retention strategies. Current frameworks exhibit significant gaps in design, execution and system necessitating a stronger approach to employee integration. Employing a qualitative (thematic analysis) and quantitative (descriptive analysis) methods, this study identified the reasons, challenges, and trends associated with scholar retention. Data were gathered through open-ended question interviews with 11 NGIC employees who completed international Master’s or Doctoral programs. Applying Herzberg’s Two-Factor Theory, the analysis revealed that while basic job stability prevented immediate dissatisfaction, it failed to generate active motivation. Fifty percent (50%) of respondents reported high satisfaction, citing strong motivators like professional recognition. However, 30% of participants demonstrated lower commitment, identifying a lack of career pathways as a primary turnover driver, while 20% cited failures in hygiene factors. In conclusion, high retention is concentrated among PhD-level employees with high intrinsic motivation and a sense of public duty. In contrast, Master’s-level graduates display conditional loyalty and remain vulnerable to external attrition. These findings indicate that NGIC’s current strategy succeeds only where individual mission-alignment already exists, highlighting a need for structural job enrichment to retain the broader scholar population.
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ItemMapping the Underwater Forest: A Deep Learning Approach to Seagrass Mapping Distribution in Calatagan, Batangas, Philippines, Using Sentinel-2 Satellite Imagery(University of the Philippines Open University, 2025)Around 71 percent of the earth’s surface is covered by water primarily saltwater found in the oceans which are essential to the survival of a variety of marine ecosystems. Particularly considering the environmental issues facing the Philippines this study highlights the significance of seagrass beds essential but usually disregarded ecosystems that support the maintenance of water quality and carbon sequestration. To produce an accurate map of the distribution of seagrass in Calatagan, Batangas, high-resolution sentinel-2 imagery is analyzed using deep learning and advanced remote sensing techniques. The approach which includes spectral band selection, data collection and model training produces a deep learning model with an F1 score of 85 percent, precision of 86 percent and overall accuracy of 97.31 percent. The efficiency of remote sensing in monitoring vital coastal habitats in the face of increasing human threats is demonstrated by this study. Through the combination of deep learning algorithms and remote sensing technology this work offers a novel approach to improve ecological analysis in coastal management. This study provides an important step in maintaining and preserving biodiversity by integrating scientific findings into practical conservation plans and strategies.