Workforce Demand Research Articles

On cultivation of cybersecurity and safety talents and responsible developers

To address the serious imbalance between the supply and demand of the cybersecurity workforce, this paper proposes to embrace the latest trend of a fundamental shift in the “underlying dynamics of the digital ecosystem”, focusing on a shared liability for cybersecurity between the application side and the manufacturing side. Assuming that product providers shall take more responsibility by implementing secure defaults, this paper explores the establishment of an S&S talent cultivation system to strike the right balance of cybersecurity liabilities by nurturing more responsible developers. This paper proposes a Knowledge, Skill, and Awareness (KSA) model for Security and Safety (S&S) talent cultivation, proves the feasibility of this model by analyzing the theoretical, disciplinary, methodological, practical, and societal foundations of S&S talent cultivation. Additionally, this paper proposes principles and strategies for building a S&S talent cultivation system based on its unique characteristics and patterns. It gives a talent cultivation scheme, supported by an “Independent Knowledge System, Education and Cultivation System, Practice and Training system, Evaluation and Certification system, and Awareness Popularization System”. Finally, this paper puts forward a proposal for coordinating efforts and adopting multiple measures to accelerate the cultivation of S&S talents.

The Patient's Experience of Working with Multiple Allied Health Professional Students - A Qualitative Interview Study.

There are increasing numbers of learners in clinical settings as part of approaches to meet workforce demands. As a result, patients are now working with multiple learners at the same time, yet little is known about how people experience this. The aim of this study was to explore the patient experience of working with multiple allied health professional students. Structured interviews were carried out with 22 patients across hospital wards in one hospital in the North-West of England. Data was analysed using thematic analysis and four themes were identified: consent to work with multiple students; responses to working with multiple students; multiple students and feelings of safety; making connections with multiple students. Findings indicated that patients experienced positive relationships and feelings of safety with groups of students. However, patients were given limited advance or tailored information about working with a group of students which is an important area to address.

Establishing the size and configuration of the imaging support workforce: a census of national workforce data in England.

The imaging support workforce is a key enabler in unlocking imaging capacity and capability, yet no evidence exists of the workforce size and configuration. This research provides the first comprehensive analysis of workforce data to explore the deployment of the support workforce within National Health Service (NHS) imaging services in England. Using a census methodology, an anonymized electronic staff record (ESR) data set extracted in December 2022 was analysed to identify support workers and their employment bandings at NHS Trust, regional and national (England) level. Support workforce proportions, median values, and Spearman's rank correlations were calculated. Analysis of 137 NHS Trusts, comprising 100% of acute trusts (n = 124) and specialist trusts with imaging services (n = 13), identified that the support workforce (pay bands 2-4) constitutes 23.6% of the imaging staff base. Ranking trusts into 3 categories based on the proportion of support workers in their imaging establishment, median values ranged from 30.7% (high) to 22.2% (medium) and 10.5% (low). Two opposing deployment models of band 2 and band 3 support workers were identified. Comprising almost one-quarter of the imaging establishment, models of deployment at bands 2 and 3 are highly variable. Assistant practitioners (band 4) are under-utilised, providing an opportunity to introduce innovations to address workforce demands. This census is the first to provide evidence of the size and structure of the support workforce, the first step in enabling effective workforce transformation. Further research is required to explain the two opposing deployment models.

On the Innovative World of Care: Unveiling the Lived Experiences of Nurses in Using an Electronic Health Information System

As healthcare systems worldwide continue to undergo digital transformation, the integration of health informatics has become pivotal in enhancing patient care, communication, and overall healthcare efficiency. The purpose of this descriptive phenomenological study was to explore and understand the experiences of staff nurses using an electronic health information system. A purposive sample of 14 senior nurses were interviewed. Using Collaizzi (1978) phenomenological method, rigor was established through application of verification, validation, and validity. From 205 significant statements, 15 cluster themes emerged. The experiences of staff nurses in employing the electronic information system included struggles during the initial encounter with the new electronic health information system, working with IT support, workflow disruption, issues regarding limited devices and internet connection, need for training, and having staff pay for errors committed. Their means of coping with the challenges of their experiences focused on recognizing workflow efficiency as perceived benefit, changes in the protocol for improvement, support from superiors and hospital management, as well as collaboration and coordination with others. The insights that staff nurses wanted to share with their peers and the nursing practice in general were personal alignment and resilience, upgrading the system, enhancing staff competency, and meeting workforce demands. Nurses adapting to a new electronic health information system echo wider healthcare's digital hurdles. Let's learn from their struggles and resilience to prioritize user-friendly designs, accessible technology, and robust training. This empowers and supports our essential nurses, paving the way for successful health informatics.

Meta-Analysis in Measuring the Effectiveness of Problem-Based Learning Models in Vocational Education

Introduction to learning models is key to discussing the approaches used to transfer knowledge and skills to students. Learning models encompass various strategies and approaches designed to create an effective learning environment and stimulate intellectual and social development, particularly in vocational education. Therefore, this research will explore the effectiveness of one learning model in vocational education, namely Problem-Based Learning (PBL). This study implements the meta-analysis method by synthesizing data from 15 research articles from 2019 to 2023. Using secondary data from Classroom Action Research (CAR) studies, this research calculates the effect size to determine the impact of the PBL model on learning outcomes. The results, presented graphically, show a significant effect size (1.02), indicating a very high impact of the PBL model in vocational education. The discussion emphasizes factors contributing to this effectiveness, including a focus on student autonomy, the development of soft skills, and alignment with the demands of the vocational workforce. Overall, the PBL model emerges as a highly effective approach in improving learning outcomes and preparing vocational education students for real-world challenges

The Role of Oracle HCM in Transforming HR Operations

Oracle Human Capital Management (HCM) stands out as a revolutionary force in the midst of the quickly changing world of Human Resources (HR). It is transforming conventional HR operations by using cutting-edge technology and strategic insights. It is the purpose of this abstract to investigate how Oracle Human Capital Management (HCM) helps to the modernisation of HR services, the enhancement of employee experiences, the drive of efficiency, and the alignment of HR practices with organisational objectives. A complete set of technologies that are meant to simplify human resource activities, including recruiting and onboarding, performance management, and employee development, is integrated into Oracle Human Capital Management (HCM). Using cloud-based solutions, Oracle Human Capital Management (HCM) provides scalability and flexibility, which enables businesses to quickly adjust their operations in response to changing market circumstances and business requirements. In today's highly competitive world, when agility and innovation are essential to maintaining development and success, this adaptability and flexibility is very necessary. One of the most important advantages of Oracle Human Capital Management is its data-driven approach, which offers insights that can be put into action by means of sophisticated analytics and reporting. Because of these skills, human resource managers are able to make choices based on accurate information, recognise patterns, and proactively handle possible problems. An example of this would be the ability of predictive analytics to foresee workforce demands, optimise talent management methods, and improve overall organisational performance of an organisation. Furthermore, the comprehensive data security measures implemented by Oracle Human Capital Management (HCM) guarantee the protection of sensitive employee information, therefore encouraging confidence and ensuring compliance with legal standards. Oracle Human Capital Management also places an emphasis on the significance of employee experience and engagement. Self-service choices for managing personal information, perks, and career development are made possible by its user-friendly design and mobile accessibility, which makes it more convenient for workers and increases their level of satisfaction. Not only does this emphasis on employee-centric features increase operational efficiency, but it also adds to greater staff retention rates and a more pleasant culture inside the organisation.

IMPACTS OF COVID-19 ON TRAINING HEALTH CARE WORKERS AT EAST LOS ANGELES COMMUNITY COLLEGE

Abstract The Pandemic changed how community colleges prepare the next generation of healthcare workers, and they are slowly adjusting to remain relevant in the current environment. How community colleges train their students will determine how well their communities will be cared for, which is why this topic is important. Some of the strategies implemented to fulfill the East Los Angeles’ College (ELAC) workforce demands following COVID are: aligning basics skills with some of the courses; providing career counseling, including mock interviews; opportunities to branch out and transfer in two years; connecting students with services to address their basic needs including mental health. Faculty are also required to stay current, and they need support from their local Districts and national collaborators. Some completed specialized training in humanizing curriculum and transforming faculty learning programs to improve undergraduate STEM faculty’s instructional practice. Moreover, the ELAC faculty felt that developing a humanities course tailored to Health and Human Services could be a great start to connect current needs with our academic programming. Faculty are revising and collecting content to address recent changes impacting our society and how we operate in the fast-changing work environment. After the Pandemic, the use of technology is more common and accepted. This change facilitates interactions, and this is a contributing factor to the program development process. For example, the advisory questionnaire is now available electronically, and therefore expecting more participation. Faculty have more variety and options for training to improve content development and delivery strategies.

Migrant healthcare assistants’ decision to work in long-term care

In high-income countries, population ageing has a significant impact on the labour force and care demands. As a result, the tendency is to rely on migrant workers to meet workforce and care demands. Drawing on insights from Bronfenbrenner’s ecological systems theory, this study focused on unskilled migrant healthcare assistants in Norway’s long-term care. The objectives were to explore factors influencing the decision of unskilled migrant healthcare assistants to work in elderly care, sources of knowledge about work in elderly care, and challenges encountered in elderly care work. The key research questions were as follows: a) What factors influence the decision of migrant healthcare assistants to work in elderly care? b) What are the sources of knowledge/information about work in elderly care for migrant healthcare assistants? c) What are some of the challenges of working in elderly care for migrant healthcare assistants? Qualitative research and purposive sampling were used to recruit 20 participants: 13 unskilled migrant healthcare assistants and seven managers of long-term care facilities in South-Eastern and Northern Norway. Data were collected using in-depth individual interviews, focus group discussions and participant observation, and thematically analysed. Findings indicated that factors influencing unskilled migrant healthcare assistants' decision to work in the elderly care sector included cultural norms and values of caring for older people, nonrecognition of overseas qualifications and economic considerations. State-organized language learning programmes, Norwegian Labour and Welfare Administration (NAV) offices, as well as migrant family and community networks, provided crucial information about work in elderly care. Challenges regarding lack of career progression, temporary working contracts, low status and poor wages emerged. In conclusion, meaningful employment outcome through better opportunities for career progression are essential for unskilled migrant healthcare assistants’ well-being and care for older people. It would be useful for long-term care policymakers and stakeholders to address the challenges faced by its aged care workforce.

Uncovering the Perspectives of Educators Regarding the STEM Practices in Schools

STEM education is a crucial aspect of preparing students for the demands of the 21st century workforce. The present study aims to explore the perspectives of STEM practitioners on their teaching practices. To achieve this aim, we employed a descriptive qualitative approach, utilizing both qualitative content analysis and thematic analysis. The study involved eight STEM practitioners who participated in individual semi-structured interviews. The research questions posed in the study focused on the features of STEM practices and practitioners, the educational value of STEM practices, and the evaluation process of STEM practices. The results revealed four themes and 52 subthemes, highlighting the importance of a STEM teacher's knowledge of the field, pedagogy, engineering, and integration. The study emphasizes the significance of using technology during STEM practices, encouraging collaborative work, ensuring cooperation, providing critical thinking, increasing productivity, ensuring interdisciplinary solidarity, increasing creativity, strengthening communication, providing peer agreement, providing cognitive thinking, and attempting to solve contemporary problems. The findings of this study contribute to the ongoing discourse on STEM education and provide insights into the perspectives of STEM practitioners.

Developing a Skilled Workforce for Future Industry Demand: The Potential of Digital Twin-Based Teaching and Learning Practices in Engineering Education

Engineering education providers should foresee the potential of digital transformation of teaching and skill-developing activities so that graduating engineers can find themselves highly aligned with the demands and attributes needed by prospective industrial employers. The advancement of industrial revolutions towards hybridisation of the enabling technologies recognised by Industry 4.0, Society 5.0, and Industry 5.0 have transformed the components of the engineering higher education system remarkably. Future workforce requirements will demand an employee’s multidisciplinary skill mix and other professional qualities. Implementing human-centric decision-making based on insights from the Digital Twin (DT) systems, sustainability, and lean systems is necessary for further economic growth. Recent barriers identified by the Australian Council of Engineering Deans, the development of teaching capabilities, and affordable and digitally transformed learning facilities by education providers were all considered. This paper explores the role of Digital Twins (DTs) in enhancing engineering higher education by incorporating Industry 4.0 components and other industrial advances. By reviewing curricula, pedagogy, and the evolving skill requirements for engineering graduates, this study identifies key benefits of DTs, such as cost-effectiveness, resource management, and immersive learning experiences. This paper also outlines challenges in implementing DT-based labs, including IT infrastructure, data quality, privacy, and security issues. The findings indicate that engineering education should embrace DTs to foster multidisciplinary skills and human-centric decision-making to meet future workforce demands. Collaboration with industry is highlighted as a crucial factor in the successful transformation of teaching practices and in offering real-world experiences. The COVID-19 pandemic has expedited the adoption of DT technologies, demonstrating their utility in minimising educational disruptions. While this paper acknowledges the high potential of DTs to prepare engineering students for future industry demands, it also emphasises the need for professional development among educators to ensure effective and balanced implementation.

Renewing an undergraduate science curriculum for the 21st century

IntroductionThe rapid pace of technological advancement, globalisation, and complex socio-economic challenges facing 21st-century society necessitates a rethinking of undergraduate science education. Undergraduate science curriculum reform is essential to prepare students for the demands of the modern workforce in an ever-changing world. Accordingly, in Trinity College Dublin (the University of Dublin), the oldest science degree course in Ireland was intensively reviewed and redeveloped between 2014 and 2021. This study aims to collate and disseminate the knowledge acquired by university staff through the experience of undertaking a major science curriculum redevelopment.MethodsNine senior staff members closely involved with the redevelopment were interviewed about why the curriculum reform was necessary, what it had achieved, and how the process could have been improved.ResultsThe reasons behind the curriculum changes are described and placed in the context of contemporary pedagogical research. Reflections from the academic and administrative staff involved in the redevelopment process are presented, emphasising the challenges and opportunities that emerged from that process.DiscussionRecommendations for other universities undertaking similar reforms are included. Aligning undergraduate science curriculum reform with the needs of 21st-century society is vital for ensuring that science graduates are well-prepared to make positive contributions to a sustainable future.

Use of the Rasch Model for Fit Statistics and Rating Scale Diagnosis for the Student Perception Appraisal.

Background and Purpose: Nursing student retention is essential to meet workforce demands. Jeffreys' Nursing Student Retention Student Perception Appraisal-Revised (SPA-R1) has been used extensively to understand factors that impact retention. Psychometric testing of the SPA-R1 contributes to greater confidence in the instrument's reliability and validity. Methods: Item response theory and specifically, the single parameter polytomous Rasch model was used as a framework for fit statistic testing and rating scale diagnostics of the SPA-R1. This was a secondary analysis of a convenience sample of undergraduate prelicensure nursing students. The setting for the previous study was virtual, and the study period was 2022. Results: The model item characteristic curves for the 27 items of the SPA-R1 have similar shapes and are clustered in proximity. Overall, there are three clusters of items evident in the Rasch standardized residual contrast. The Rasch scale diagnostics indicated that the scale appropriately monotonically increases. However, there is a greater than 5 logit distance between does not apply and severely restricts, between severely restricts and moderately restricts, and between does not restrict or support and moderately supports. These large threshold distances indicate that additional steps in the scale may be warranted. The items cover the mid-range of the amount of retention perceptions; however, there are no items that represent the highest magnitude of the perceived amount of influence on retention. Conclusions: This study contributes further evidence to support the validity and reliability of the SPA-R1. We recommend adding steps to the scale, removing the does not apply response option, and considering scoring by three domains or clusters.

Designing Automated Logistics Warehouse Stackable Bidirectional Infinite-Loop Modules

The modern logistics industry is grappling with significant challenges brought about by rapid market transformations. These challenges encompass workforce shortages, the increasing complexity of diverse logistics systems, environmental concerns arising from unregulated warehouse construction, and the scarcity of available land for development. In response to these pressing issues, this study introduced an automated logistics warehouse system that incorporated stackable bidirectional infinite-loop modules and employed a pre-transfer method. Extensive simulations rigorously validated the feasibility and effectiveness of this system, affirming its substantial capacity to enhance spatial utilization and operational efficiency within warehouses. Consequently, this study not only offers solutions to streamline transfer device routes, optimize storage space, reduce workforce demands, and contribute to economic gains, but also addresses labor shortages and land scarcity challenges. The overarching objective of this study was to provide pragmatic strategies for effectively tackling the multifaceted challenges confronting the logistics industry.

Development of A Learning Model for Blended Collaborative Knowledge Construction in Vocational Education

Vocational Education readies students for specific careers and industries. A robust learning approach is crucial to meet modern workforce demands and foster knowledge exchange. This article introduces the origination of a Learning Model for Blended Collaborative Knowledge Construction in Vocational Education. This model merges methods from blended learning with collaborative strategies for constructing knowledge, fuelling student engagement, skills acquisition, and shared knowledge creation. The research utilizes the Delphi method to accumulate convincing proof for learning models prioritizing blended collaboration in knowledge generation. The sample pool comprises 60 students spanning two Zigong Vocational Training Institute classes, gathered via selective sampling. Data collection involved pre and post-testing of the student’s performance in the experimental and control groups, reinforced by the satisfaction survey from the experimental group. Data analysis employed statistical tools like percentages, means, standard deviations, and the t-test for related samples. The study found that pretest scores and SPSS data analysis showed that the f-test significant value is .702, which exceeds .05. This implies that, under the assumption of equal variance, the mean equivalence t-test findings for the first row of data, as shown in the table above, show that the experimental class averages 81.02 and the control class 81.05. The experimental and control groups' pretest scores are not significantly different, as the computed p-value of .984 is larger than .05. Thus, teaching practice is reasonable. The experimental group's student satisfaction measure averaged 4.27, ranging from 4.10 to 4.43, indicating that students are content with their academics. The control group's student satisfaction measure averaged 2.87, ranging from 2.50 to 3.10, indicating low satisfaction with learning. Students in a vocational education setting were compared using a hybrid collaborative knowledge creation learning model, demonstrating its potential to enhance student satisfaction and outcomes.

Supply and demand of hepatopancreatobiliary surgeons in the United States

BackgroundHepatopancreatobiliary (HPB) surgery requires specialized training and adequate case volumes to maintain procedural proficiency and optimal outcomes. Studies of individual HPB surgeon supply related to annual HPB case demand are sparse. This study assesses the supply and demand of the HPB surgical workforce in the United States (US). MethodsThe National Inpatient Sample (NIS) was queried from 1998–2019 to estimate the number of HPB procedures performed. To approximate the number of HPB surgeons, models based on previous HPB workforce publications were employed. We then calculated the number of HPB surgeons needed to maintain volume-outcome thresholds at current reported levels of centralization. ResultsIn 2019, approximately 37,335 patients underwent inpatient HPB procedures in the US, while an estimated 905–1191 HPB surgeons were practicing. Assuming 50% centralization and an optimal volume-outcome threshold of 24 HPB cases-per-year, only 778 HPB surgeons were needed. Without adjustment in centralization, by 2030 there will be a demand of fewer than 12 annual cases per HPB surgeon. ConclusionThe current supply of HPB surgeons may exceed demand in the United States. Without alteration in training pathways or improved care centralization, by 2030, there will be insufficient HPB case volume per surgeon to maintain published volume-outcome standards.

Measuring Creativity in Academic Writing: An Analysis of Essays in Advanced Placement Language and Composition

The demand for a creative workforce has never been higher, yet schools struggle to teach and assess creativity among students efficiently. Compositions are an effective way to incorporate creativity across the curriculum; however, essays are time consuming to evaluate for quality or creativity. This study explored (a) if high creativity scores are related to high quality and sophistication in academic writing, and (b) if extant text-mining tools effectively identify quality, sophistication, and creativity in academic essays. Four teacher raters analyzed quality, sophistication, and creativity of 230 essays written by students aged 15–17 for Advanced Placement Language and Composition. We also used text-mining tools (e.g., semantic distance, Shannon's entropy, idea density) to score these essays. Teacher-rated creativity scores correlated with quality and sophistication scores, as well as with some of the text-mining tools, suggesting that these tools can capture quality and sophistication in addition to creativity. Implications for educational practice are discussed.

The role of part-time arrangements in the sustainability of midwifery continuity of care models in Australia: An integrative review.

International maternity care experts have called for expanding midwiferyled continuity of care (MCoC) models. However, the number of models need augmentation as the number of women receiving this care is small. The majority of the midwifery workforce in Australian public health systems comprises women who work part-time. This aspect of the midwifery workforce demands careful consideration when attempting to change a maternity care system and sustain new models of care. Sparse research has been undertaken to explore whether part-time factors could play a role in the growth and sustainability of MCoC in Australia. This integrative review aims to analyze the role of parttime practice arrangements in the sustainability of MCoC models in Australia. Following a systematic search of research databases (CINAHL, ScienceDirect, Cochrane Database of Systematic Reviews, and Proquest) and screening the literature with eligibility criteria including keywords related to midwifery continuity of care, workforce arrangements and full-time equivalent (FTE), eight Australian research articles were identified for evaluation. The articles were appraised for bias using the Mixed Methods Appraisal Tool (MMAT) and data were analyzed using an integrated convergent narrative synthesis method. The resulting themes from the synthesis suggest that part-time MCoC roles may support the sustainability of the MCoC workforce without reducing quality of care to women. In various studies, midwives reported that FTE (full-time equivalent) of 0.5 may not meet the job's demands. However, this is likely influenced by local context and caseload size rather than the quantum of each midwife's FTE. The quality of the studies is limited due to the small scale of the studies; however, the qualitative results give a depth of understanding to the strengths and challenges that part-time arrangements in MCoC add to the midwifery workforce. This review recommends that part-time arrangements in MCoC models in Australia be evaluated in conjunction with other routinely analyzed workforce data. Further considerations should be made by midwifery managers, leaders, stakeholders, and decision makers responsible for developing and supporting part-time job arrangements in caseload models of care in Australia.

Innovative Strategies to Facilitate Newly Licensed Nurse Transition to Practice During the COVID-19 Pandemic: A Quality Improvement Project.

As healthcare facilities transition from initial phases of the COVID-19 pandemic, it is imperative to consider innovative strategies to overcome instructional challenges presented to nursing schools in order to maintain a competent workforce amidst nursing shortages and increasing patient volumes and complexity. Nursing professional development practitioners will play a pivotal role in revitalizing transition-to-practice programs to meet the demands of the new workforce. This article details an academia-practice initiative for newly licensed nurses who enter practice during the pandemic.

Employability and Education Mismatch in the Moroccan Urban Workplace

This study explores the skill demand and supply of the current Moroccan urban labor workforce. It seeks to understand the experience of skill mismatch, and how it affects employability. Using semi-structured interviews and a phenomenological approach, the study explores the nature of job queues as informed by recruiters and educators. A total of 27 interviews were conducted with recruits, recruiters, and university professors, all of whom were selected using a criterion-based approach coupled with snowball sampling. Over-education was affirmed among employees, and the findings yielded a crossover of skill sets. The job queue for a balanced labor market is oriented towards personal attitudes and capabilities related to the field of study. Finally, responses from both recruiters’ and professors’ interviews yielded a framework of education-job matches for the demand-supply sides, and oriented workplace-based employability.

Enhancing Employability and Empowerment: Unveiling Factors within PERDA-TECH for Sustainable Development

In the contemporary landscape of education, fostering graduates' employability has emerged as a vital concern for educational institutions and policy makers, particularly within the framework of Sustainable Development Goal 4 (SDG4) and Sustainable Development Goal 8 (SDG8). This paper delves into the employability dynamics of graduates from the PERDA-TECH program, a Technical and Vocational Education and Training (TVET) initiative operating under the auspices of the Penang Regional Development Authority (PERDA). In the quest for a competitive edge within the workforce, TVET programs hold the promise of cultivating a skilled labor pool that aligns with the workforce demands, thus bolstering economic growth (SDG8). However, a comprehensive analysis of the graduate employability facets is indispensable to address the nuanced requirements of the job market. Existing studies have outlined seven pivotal employability skills, encompassing interpersonal skills, critical thinking, self-improvement, resourcefulness, ICT proficiency, fundamental aptitudes, and information literacy. Additionally, employers place premium emphasis on attributes such as social acumen, management proficiencies, creative thinking, problem-solving capabilities, and critical analysis. Aligned with these imperatives, the PERDA-TECH Malaysia Skills Training Programme seeks to equip graduates with competencies tailored to amplify their employability prospects. Nonetheless, the insights from the PERDA 2020 Outcome Assessment report reveala gapin the comprehensive understanding of graduate feedback and employability determinants. This study endeavors to bridge this gap by methodically examining the factors influencing graduates' employability within the PERDA-TECH program.Employing a quantitative approach, the study encompassed survey responses from 226 graduates. The findings unveiled a noteworthy 71.3% (162 graduates) employed, 21.2% (48 graduates) pursuing further education, and 7.1% (16 graduates) currently unemployed. Encouragingly, a significant proportion of graduates secure employment within six months of graduation, substantiating the program's efficacy in catering to market needs (SDG8). The factors influencing employability were dissected into three categories: graduate attributes, learning outcomes, and market dynamics. This holistic analysis enhances the alignment of the program's objectives with SDG4's emphasis on quality education and SDG8's pursuit of decent work and economic growth.This study underscores the symbiotic relationship between relevant and skill-centered education, graduates' market readiness, and sustainable economic development. As a result, it contributes not only to the advancement of knowledge but also to the realization of SDG4 and SDG8, enlivening the overarching mission of fostering inclusive education and propelling economic progress.