Systematic Literature Review on Skill Mismatch: Bridging the Gap through Educational Leadership and Industry Collaboration

Systematic Literature Review on Skill Mismatch: Bridging the Gap through Educational Leadership and Industry Collaboration

Glenn Maenard A. Faustino¹, Ma. Lourdes G. Gabasa², Dr. Leonora De Jesus³

^1,2Student, Graduate School, Bulacan State University

³Associate Dean at Graduate School, Bulacan State University

DOI: https://dx.doi.org/10.47772/IJRISS.2025.905000400

Received: 11 May 2025; Accepted: 16 May 2025; Published: 19 June 2025

ABSTRACT

Skills misalignment has emerged as a formidable obstacle within global labor markets, as educational systems grapple with the challenge of adapting to the swiftly transforming demands of industries, particularly in sectors influenced by technological progressions. This investigation delves into the underlying causes and ramifications of skills misalignment, placing particular emphasis on the significance of educational leadership and collaborative efforts between industry and academia in tackling this dilemma. This inquiry draws on contemporary theoretical constructs, including Human Capital Theory and Dynamic Capabilities Theory, to assess the inconsistency between the competencies that educational institutions deliver and those that employers require. It underscores the increasing necessity for both technical and interpersonal skills, which numerous conventional educational models inadequately furnish. Through a comprehensive examination of pertinent literature and empirical investigations, this paper evaluates the repercussions of skills misalignment on employability, productivity, and overall economic advancement. The analysis indicates that the development of more malleable course structures, enhanced partnerships between the workforce and educational entities, and the adoption of vocational education programs can effectively remedy skill shortages. Educational leaders are instrumental in facilitating these transformations by advocating for curriculum innovations and nurturing ongoing dialogues between academic institutions and industry stakeholders. The study culminates by presenting actionable recommendations for educational policymakers and institutions to realign their educational offerings with labor market requirements, thereby ensuring that graduates possess the essential skills to excel in the contemporary, dynamic employment landscape.

Keywords: skills mismatch, educational leadership, industry collaboration, vocational education, human capital theory, dynamic capabilities theory.

INTRODUCTION

Skills mismatch, a widespread concern in the global employment arena, signifies the disconnect between the abilities that workers hold and those demanded by their occupations. As sectors evolve into intricate entities, particularly with the swift pace of technological progress, the chasm between the educational landscape’s offerings and labor market prerequisites keeps expanding. Recent investigations highlight the profound repercussions of this dissonance, with findings revealing that both over-qualification and under-qualification are on the rise, leading to reduced efficiency, heightened unemployment, and wage disparities (Abelha et al., 2021; Akgüç & Parasnis, 2022). The ramifications are especially acute in domains like technology and healthcare, where there is a fervent need for specialized skills that traditional education systems fail to sufficiently deliver (Börner et al., 2020; Tushabe et al., 2021).

Theoretical constructions such as the human capital theory (Becker, 1993) and labor market signaling theory (Spence, 1973) have been utilized for ages to unravel the complexities of skills mismatch, homing in on how these disparities emerge from the informational divides between employers and job aspirants. Recently scholarly discourse has adapted these theoretical frameworks to modern contexts, melding them with dynamic capabilities theory (Teece et al., 2016) to evaluate how sectors evolve amidst shifting demand for skills. For example, Caliendo et al. (2022) discovered that industries boasting strong skill development initiatives and ongoing collaborations with educational entities tend to experience diminished levels of skills mismatch. Likewise, Dhamayanthi et al. (2023) stressed that the discord between educational programs and industry expectations can be alleviated through focused vocational training and partnerships between academia and industry.

Moreover, tackling skills mismatch within educational leadership necessitates a thoughtful and comprehensive strategy, particularly regarding policy formulation and curriculum development. Recent findings reveal that educational leaders who champion more adaptable and industry-aligned curricula can dramatically enhance employment prospects for graduates (Gowrie et al., 2023). Akgüç & Parasnis (2022) contend that policies aimed at skill development should emphasize the harmonization between vocational training initiatives and the fluid demands of the industry to mitigate the threat of skill obsolescence. Furthermore, the function of educational leadership in bridging this divide has become increasingly vital, as leaders are charged with embedding soft skills such as communication, teamwork, and problem-solving into curricula, alongside technical proficiency (Haffenden & Steel, 2022; Byarugaba et al., 2023).

The objective of this research endeavor is to methodically investigate the occurrence of skills misalignment within the educational landscape and its ramifications for the workforce, with a specific emphasis on how educational leadership can effectively mitigate this disparity. By integrating contemporary literature and empirical evidence from diverse sectors, this research seeks to elucidate the principal determinants that contribute to the dissonance between educational outputs and industry expectations. It aims to analyze the influence of educational policies, curricular frameworks, and leadership methodologies in alleviating these discrepancies, particularly by fostering more robust collaborations between educational institutions and industry stakeholders. Additionally, the research aspires to furnish pragmatic recommendations for educational leaders to enhance the congruence of skill development initiatives with labor market demands, ultimately augmenting graduate employability and addressing skill deficiencies across vital sectors.

REVIEW OF RELEVANT THEORY, STUDIES AND LITERATURE

Human Capital Theory, as articulated by Becker (1993), asserts that educational attainment and specialized training significantly augment individual productivity and economic performance. This theory is particularly relevant to the issue of skills mismatch, as it accentuates the necessity of aligning the educational framework with the exigencies of the labor market. Human Capital Theory contends that allocating resources toward education amplifies a worker’s market value; however, it simultaneously brings to light the challenges encountered when educational systems fail to adapt to the evolving demands of employers. The increasing divergence between the competencies imparted by educational institutions and those sought by industries lies at the heart of the skills mismatch phenomenon. Recent investigations, including those conducted by Caliendo et al. (2022), underscore the constraints of this theory when confronted with the swift advancements in technology, which may render the skill sets provided by conventional educational programs obsolete. Consequently, the theory posits the necessity for sustained investment in education and skills enhancement, ensuring that curricula are consistently revised to align with industry standards. Within the realm of educational leadership, Human Capital Theory serves as a conceptual framework for the formulation of policies and strategies designed to enhance the congruence between educational outcomes and labor market requirements. Educational leaders can leverage this theory to advocate for curricular reforms and the establishment of innovative programs that emphasize emerging competencies in domains such as data science, artificial intelligence, and digital technologies. Furthermore, by prioritizing vocational training and practical skill acquisition in conjunction with academic credentials, educational leaders can facilitate the bridging of the divide between theoretical understanding and market-relevant capabilities.

The Human Capital Theory, articulated by Becker (1993), posits that investments in educational attainment and vocational training augment individual productivity and yield enhanced economic outcomes. In accordance with this theoretical framework, education augments a laborer’s market value by equipping them with requisite skills and knowledge pertinent to the labor market. Nonetheless, contemporary research indicates that conventional educational paradigms, which prioritize formal academic credentials over practical, industry-specific competencies, contribute significantly to a skills misalignment (Tushabe et al., 2021). As articulated by Caliendo et al. (2022), although Human Capital Theory posits a correlation between educational attainment and improved labor market outcomes, it fails to address the phenomenon of skills obsolescence that arises when educational frameworks do not adapt to the swift pace of technological advancements and the shifting requirements of various industries. For instance, Gowrie et al. (2023) underscore how sectors such as information technology and healthcare are increasingly confronted with a burgeoning demand for specialized, contemporary skills that are frequently inadequately addressed within traditional educational frameworks. This disjunction between the competencies imparted by educational institutions and the skills sought by employers culminates in underqualification (where individuals are deficient in essential skills for their designated roles) or overqualification (where individuals possess an excess of educational credentials relative to job requirements). Tushabe et al. (2021) accentuate the imperative for educational systems to evolve by integrating vocational education and training (VET) programs, which concentrate on fostering practical, market-relevant skills alongside conventional academic education. Such an integration would enable individuals to acquire the competencies necessary for the rapidly transforming labor market, thereby alleviating the potential for skills mismatch.

Dynamic Capabilities Theory (Teece et al., 2016) centers on the capacity of organizations to adjust, innovate, and realign their capabilities in response to fluctuating environments. This theoretical framework is particularly pertinent for comprehending how industries and educational institutions can sustain agility amidst technological progressions and evolving labor market demands. In contrast to Human Capital Theory, which predominantly concentrates on individual educational attainment, Dynamic Capabilities Theory underscores the necessity for systemic adaptability within both organizational structures and educational frameworks. Dhamayanthi et al. (2023) elucidate that industries endowed with robust dynamic capabilities are more adept at navigating the changing landscape of skills requirements, whereas sectors deficient in this adaptability encounter more acute skills mismatches. In the realm of educational leadership, Dynamic Capabilities Theory underscores the imperative of cultivating an environment wherein both students and educational institutions can perpetually advance and refine their skill sets. Educational leaders are tasked with prioritizing flexible curricula that can be promptly modified in accordance with emerging technologies and labor market dynamics. By advocating for lifelong learning initiatives, work-integrated learning (WIL) programs, and collaborations with industry partners, educational systems can engender a culture of adaptability, thereby ensuring that graduates possess not only proficiency in contemporary technologies but also the capacity to adjust to future transformations. Gowrie et al. (2023) endorse this perspective, positing that educational leaders ought to cultivate partnerships with industries to maintain curriculum relevance and guarantee that students acquire the essential, future-ready skills that will uphold their employability in an increasingly dynamic job market.

In their 2016 work, Teece and others present Dynamic Capabilities Theory, which acts as a fundamental structure for deciphering how entities, such as learning institutions, can proficiently maneuver and modify themselves in light of the pressures from quickly transforming environments and varying workforce demands. In contrast to Human Capital Theory, which primarily concentrates on individual-level educational investments aimed at enhancing productivity, Dynamic Capabilities Theory underscores the significance of organizational adaptability—the capacity of institutions to innovate and recalibrate their structures, processes, and competencies in alignment with technological progress and shifting industry demands. This theoretical perspective is particularly pertinent for elucidating how educational institutions can address the escalating skills disparity within the labor market, as various sectors grapple with the challenge of sourcing employees possessing the requisite competencies amid an incessantly accelerating pace of technological transformation. As Dhamayanthi et al. (2023) articulate, industries endowed with robust dynamic capabilities demonstrate superior aptitude in adjusting to the variable demands of the labor market, thereby ensuring their competitive edge and capacity to navigate the perpetually evolving landscape of skill requirements. For instance, domains such as healthcare, information technology, and engineering necessitate a continuous updating of skills in response to swift technological innovations. Educational institutions that adopt the tenets of Dynamic Capabilities Theory—by fostering agility and responsiveness within their curricula—are better positioned to equip students for the dynamic labor market. Consequently, educational leadership assumes a crucial role in cultivating a learning atmosphere wherein both students and institutions can perpetually evolve their skill sets in alignment with the demands of these industries.

In contrast to Human Capital Theory, which emphasizes the accumulation of knowledge and skills at the individual level, Dynamic Capabilities Theory highlights the imperative for systemic adaptability—the ability of both organizations and educational institutions to maintain agility and responsiveness to emergent trends. Gowrie et al. (2023) further contend that educational leaders must collaborate closely with industry stakeholders to ensure that curricula remain pertinent and aligned with labor market exigencies. Such partnerships can facilitate the creation of work-integrated learning (WIL) opportunities, wherein students acquire practical experience in authentic work settings and can refine their competencies in accordance with industry standards. This is essential for cultivating not only the technical skills sought by employers but also the adaptive capabilities required to excel in an ever-evolving workforce. Dynamic Capabilities Theory presents a comprehensive framework for comprehending how educational institutions can effectively tackle the phenomenon of skills mismatch by underscoring systemic adaptability and the perpetual innovation of curricula and pedagogical practices. By assimilating the tenets of this theory into the domain of educational leadership, institutions are positioned to more proficiently equip students to fulfill both present and prospective demands, thereby ensuring that they not only acquire pertinent skills but also develop the agility necessary to navigate future challenges within an increasingly fluid labor market.

The function of educational leadership is integral to the application of Dynamic Capabilities Theory within educational contexts. Leaders must ascertain that educational institutions do not remain static but are capable of continuously adapting their curricula to integrate emerging technologies and industry requirements. By emphasizing lifelong learning initiatives, flexible curricula, and collaborative partnerships with industry, educational leaders can engender a culture of adaptability and resilience. Such an approach will empower graduates to not only master current technologies but also to remain adept at responding to future technological innovations and transformations in the labor market. As Dhamayanthi et al. (2023) underscore, it is this ethos of continuous adaptation that can secure the future employability of students, equipping them with the skills and mindset necessary to navigate and flourish in an ever-evolving job market.

Skills Mismatch

Skills mismatch represents a profound challenge within labor markets, arising from a disjunction between the competencies possessed by job seekers and those requisite by employers. In the preceding decade, a multitude of scholarly investigations have elucidated the adverse ramifications of this mismatch on economic expansion, productivity, and employment statistics. The OECD (2023) delineates skills mismatch as a pervasive concern, intensified by swift technological progressions and globalization, particularly within domains such as healthcare, information technology, and engineering. Tushabe et al. (2021) contend that developing economies encounter a distinct manifestation of skills mismatch, characterized by educational frameworks that fail to adapt to the continually shifting skill prerequisites of the labor market. Specifically, they underscore the widening chasm between the technical skills cultivated through educational institutions and the soft skills that employers increasingly prioritize, including collaboration, critical thinking, and effective communication. A noteworthy investigation conducted by Caliendo et al. (2022) articulates that skills mismatch engenders considerable inefficiencies, particularly within rapidly evolving industries. Such inefficiencies manifest in both overqualification and underqualification within the workforce, wherein individuals are either excessively educated for their roles or deficient in the requisite skills for their positions. Akgüç & Parasnis (2022) similarly assert that skills mismatch exacerbates elevated unemployment levels, particularly in sectors necessitating specialized skills, thereby emphasizing the critical need for educational systems to align more closely with industry demands. Börner et al. (2020) likewise discover that while educational programs frequently prioritize technical skills, numerous industries, particularly those propelled by digital technologies, increasingly necessitate a more expansive array of competencies, encompassing adaptability and leadership, which are often inadequately represented in academic curricula.

As a researcher, the existing body of literature on skills mismatch holds significant pertinence to my investigation, as it directly elucidates the necessity for harmonizing educational frameworks with the dynamic requirements of the labor market. Skills mismatch, as delineated by the OECD (2023), Tushabe et al. (2021), and other academic authorities, constitutes a substantial impediment to both individual professional advancement and overarching economic development. This dilemma becomes increasingly urgent in the milieu of rapid technological innovation and globalization, which incessantly redefine the skill prerequisites across sectors such as healthcare, information technology, and engineering. The disparity between the technical proficiencies imparted in conventional educational programs and the soft skills desired by employers represents a pivotal area necessitating immediate scholarly attention. Consequently, my research endeavors to investigate how educational leadership can serve a critical function in bridging these skills divide, thereby ensuring that both curricula and instructional methodologies are sufficiently flexible and aligned with the current and prospective needs of the workforce.

Furthermore, the scholarly discourse surrounding specialized skills—especially in nascent domains such as data science and digital technologies—emphasizes the imperative for educational systems to adapt expeditiously in accordance with industry exigencies. As articulated by Akgüç & Parasnis (2022), specialized sectors are encountering difficulties in sourcing personnel with the exact skill sets required for job vacancies, thereby exacerbating issues of unemployment and underemployment. From an academic perspective, this underscores the necessity of establishing industry-academic collaborations that enable educational institutions to customize programs in alignment with specific industrial demands. My research will scrutinize the mechanisms through which these partnerships can be cultivated and delineate the role of educational leadership in facilitating such collaborations to enhance the preparedness of students for careers in specialized sectors.

Finally, the challenge of overqualification and underqualification, as reviewed by Caliendo et al. (2022), constitutes an essential dimension of skills mismatch that carries notable ramifications for education policy and program development. Investigating how overqualification and underqualification occur, stemming from a disconnect between what education provides and what the job market needs—offers critical understanding for shaping effective educational frameworks. This issue is particularly salient to my inquiry, as it accentuates the critical importance of aligning educational qualifications with the tangible requirements of employers. I will examine whether existing curricula in higher education contribute to overqualification or underqualification and investigate potential strategies for ensuring that academic training is more closely attuned to job market expectations.

In conclusion, the existing literature on skills mismatch is profoundly relevant to my research, as it establishes a foundational understanding of the systemic challenges that contribute to the disjunction between educational outputs and labor market needs. As a researcher, I aspire to explore how educational leadership can effectively confront these obstacles by guaranteeing that curricula evolve to mirror the intricate demands of the labor market. The insights gleaned from this literature will inform my study on how educational systems can enhance their adaptability, relevance, and responsiveness to the perpetually shifting needs of industries, ultimately ensuring that students acquire both the technical and soft skills requisite for enduring success within the workforce.

Bridging Skills Mismatch

As articulated by Börner et al. (2020), the phenomenon of skills mismatch is particularly pronounced within sectors that are substantially impacted by digital technologies, such as information technology and engineering, where the demand for adaptability, leadership, and critical problem-solving competencies is on the rise. Leadership in education needs to take a central stance in the integration of these soft skills into teaching frameworks, alongside technical training, ensuring that students develop both the necessary technical expertise and the interpersonal and cognitive skills important for succeeding in the current job landscape. Moreover, Abelha et al. (2021) underscore the significance of collaborative partnerships between industry and academia in mitigating skills mismatch. Through the enhancement of collaborations between educational entities and employers, educational leaders can promote the establishment of practical learning experiences, including internships, apprenticeships, and cooperative education initiatives, which empower students to acquire experiential knowledge and hone their skills within authentic contexts. These collaborations further serve as a conduit for the alignment of educational curricula with the prevailing demands of various industries, thereby guaranteeing that graduates are adequately prepared to enter the workforce.

Contributing Factors to Skills Mismatch

A multitude of factors underpins the ongoing phenomenon of skills mismatch, particularly the accelerated tempo of technological evolution and the disconnection between educational frameworks and the dynamic requirements of the labor market. Gowrie et al. (2023) investigates how sectors such as information technology and healthcare encounter a deficit of qualified personnel attributable to the swift progress of technology, which educational institutions find challenging to integrate into their curricula. In a similar vein, Abelha et al. (2021) underscore that numerous educational systems are predominantly centered on conventional pedagogical approaches, with scant incorporation of burgeoning domains such as data science, artificial intelligence, and cybersecurity. They advocate for a transformative approach towards adaptable curricula that foster greater collaboration with industry partners, thereby enabling educational entities to align with technological advancements. Furthermore, Tushabe et al. (2021) contend that educational institutions within developing nations frequently experience curriculum inflexibility, which hinders their capacity to adapt to the swiftly evolving demands of the labor market. Their research indicates that universities in Uganda, for instance, face significant obstacles in modifying their academic offerings to align with the requirements of the hospitality sector, resulting in many graduates entering the workforce inadequately prepared for industry expectations. Similarly, Caliendo et al. (2022) discovered that an excessive focus on theoretical knowledge coupled with an inadequate emphasis on practical skills and internships exacerbates the skills mismatch, as numerous graduates lack the experiential learning that employers seek.

The occurrence of skills mismatch is attributable to a multitude of interrelated factors, with one of the most pivotal being the accelerated trajectory of technological advancement. As industries undergo rapid transformations due to innovations in automation, artificial intelligence, and other technological developments, educational systems encounter significant challenges in adapting, resulting in a disparity between the competencies students develop and the competencies required by employers. Gowrie et al. (2023) underscore that sectors such as information technology and healthcare experience pronounced impacts from this technological evolution, as educational institutions grapple with the integration of cutting-edge technologies into their academic programs. This predicament is further intensified by Abelha et al. (2021), who contend that numerous educational systems remain entrenched in conventional pedagogical approaches, which prioritize theoretical knowledge over emerging domains such as data science, cybersecurity, and artificial intelligence. Consequently, students find themselves inadequately equipped for rapidly evolving industries, contributing to a skills mismatch that renders many graduates ill-suited for the labor market. In addition to the technological divide, Tushabe et al. (2021) illuminate how curricular rigidity in developing nations further obstructs educational institutions from responding to the dynamic requirements of the labor market, culminating in graduates who are inadequately prepared for industry-specific positions, such as those within Uganda’s hospitality sector. This inflexible curricular framework exacerbates the skills mismatch, hindering students’ ability to attain the pertinent qualifications essential for success in their selected fields.

Furthermore, an additional factor contributing to skills mismatch is the deficiency in collaboration between industry and academia, which fosters a disconnection between the skills imparted in academic environments and those sought by employers. Caliendo et al. (2022) assert that educational systems frequently prioritize theoretical knowledge at the expense of practical skills and experiential learning, which are increasingly valued by employers. Due to a deficiency in meaningful work-integrated learning options like internships or apprenticeships, students enter the workforce lacking essential experience, exacerbating the existing skills gap. Gowrie et al. (2023) propose that cultivating closer collaborations between educational institutions and industry partners could facilitate the development of more industry-responsive curricula, thereby ensuring that students acquire the practical skills requisite for the workforce. This deficiency in practical exposure also contributes to the complexities of overqualification and underqualification, as emphasized by Caliendo et al. (2022) and Dhamayanthi et al. (2023). Graduates can sometimes have advanced qualifications that do not align with their job needs, or they might be short on specific skills, causing issues of underemployment and not leveraging their skills effectively. This dual challenge of overqualification and underqualification exacerbates labor market inefficiencies, culminating in elevated unemployment rates and unoccupied job vacancies in specialized sectors.

The skills mismatch is propelled by several interconnected factors, inclusive of the rapid pace of technological advancements, curricular inflexibility, and the absence of practical learning opportunities that adequately prepare students for the labor market. Educational systems must undergo transformative changes by integrating emerging technologies into curricula, embracing work-integrated learning, and establishing more flexible and responsive educational frameworks.

The Role of Educational Leadership in Addressing Skills Mismatch

Educational leadership plays a pivotal role in alleviating skills mismatch by endorsing curricula that are congruent with the requirements of the labor market. Gowrie and Steel (2022) propose that educational leaders ought to adopt a proactive stance in the incorporation of industry-relevant competencies within educational frameworks. By cultivating collaborative partnerships between educators and industry practitioners, they contend, educational institutions can more effectively prepare students with the requisite skills sought by employers. Furthermore, Haffenden and Steel (2022) underscore the necessity for educational leaders to prioritize the cultivation of both technical proficiencies and soft skills, such as communication, leadership, and adaptability, which are increasingly demanded in the contemporary workforce.

A study conducted by Akgüç and Parasnis (2022) corroborates the assertion that proficient educational leadership can substantially mitigate skills mismatch. They maintain that educational leaders must actively engage in the ongoing assessment of curricula and the implementation of work-integrated learning (WIL) initiatives, which can facilitate students in acquiring practical experience that directly equips them for employment. Similarly highlights the significance of adaptive leadership, wherein educational leaders promote continuous dialogue between academia and industry to ensure that educational provisions are perpetually revised and responsive to the exigencies of the labor market.

The significance of educational leadership in addressing the discrepancy between required and available skills is critically important, particularly in ensuring that educational institutions align with the dynamic demands of the labor market. Gowrie and Steel (2022) highlight the essential duty of educational leaders to adopt a proactive stance in the development of curricula that are intricately aligned with industry expectations. By cultivating collaborative partnerships between educators and industry professionals, educational leaders can guarantee that students acquire the pertinent skills that are actively sought after by employers. As industries continue to transform due to technological advancements and fluctuating market demands, educational systems must exhibit agility, a challenge that necessitates robust leadership in both the strategic planning and implementation of curricular reforms.

Furthermore, Haffenden and Steel (2022) contend that effective educational leadership should encompass not only a focus on technical skills but also the prioritization of soft skills development, including communication, leadership, and adaptability, which are increasingly esteemed by employers. The capacity to amalgamate both technical competencies and interpersonal skills within educational frameworks is critical for equipping students to navigate the complexities of the contemporary workforce. People skills are increasingly seen as vital for thriving in almost all fields, since they greatly enhance cooperation, finding solutions, and promoting effective dialogue in workplaces.

In support of this argument, Akgüç and Parasnis (2022) emphasize the imperative for educational leaders to engage actively in curriculum evaluation and the incorporation of work-integrated learning (WIL) initiatives. These programs present students with a chance to acquire practical experience via internships, apprenticeships, and other applicable real-world scenarios, which notably elevate their employability. This underscores the necessity for educational leadership to transcend mere theoretical considerations and instead focus on creating avenues for students to apply their acquired knowledge in real-world contexts.

Additionally, Tushabe et al. (2021) underscores the importance of adaptive leadership in ensuring that educational systems remain responsive to the shifting demands of the labor market. Adaptive leadership necessitates ongoing dialogue between academia and industry, facilitating the regular updating and alignment of curricula with industry requirements. Educational leaders must nurture this continuous relationship to ensure that educational programs are dynamic rather than static, thereby evolving in real-time alongside labor market fluctuations. This form of dynamic leadership guarantees that curricula remain flexible and responsive, empowering institutions to produce graduates who possess the requisite skills for the workforce.

In summation, the literature underscores that educational leadership is pivotal in addressing the challenge of skills mismatch. When educational leaders adopt a future-oriented stance on curriculum creation, nurture connections with businesses, and value both technical competencies and interpersonal abilities, they can markedly boost graduates’ employability and keep education pertinent to the workforce. As a researcher, this emphasis on adaptive leadership and work-integrated learning offers clear trajectories for mitigating skills mismatch, providing valuable insights into how educational systems can be reformed to satisfy the demands of the modern workforce.

Policy Recommendation and Future Directions

To mitigate the phenomenon of skills mismatch, various policy prescriptions have been articulated in academic discourse. Dhamayanthi et al. (2023) advocate for the incorporation of vocational education and technical training programs that are meticulously aligned with the exigencies of industry, particularly within sectors experiencing high demand, such as information technology and healthcare. Furthermore, Caliendo et al. (2022) propose that governmental entities establish policy frameworks that facilitate ongoing learning and reskilling initiatives, thereby ensuring that the workforce remains competitive within an increasingly dynamic labor market.

The necessity for robust partnerships between industry and academia constitutes another salient theme in contemporary literature. Gowrie et al. (2023) advocate for enhanced collaborations between educational institutions and industry stakeholders, asserting that such partnerships can enable institutions to develop curricula that accurately reflect the competencies sought by employers in the marketplace. Byarugaba et al. (2023) further propose that policies should create incentives for corporations to engage in internship and apprenticeship programs, thereby affording students the opportunity to acquire practical experience while still enrolled in their educational pursuits.

In conclusion, Haffenden and Steel (2022) underscore the imperative for educational leadership to foster a culture of lifelong learning and the cultivation of soft skills as integral components of comprehensive policy initiatives aimed at alleviating skills mismatch. They contend that educational institutions should provide flexible, modular learning pathways that permit individuals to enhance their skill sets throughout their professional trajectories, thereby ensuring their continued adaptability and employability.

The subject of alleviating skills mismatch holds considerable significance within the contemporary discourse surrounding the evolving nexus between educational systems and labor market exigencies. The extant academic literature delineates numerous policy recommendations aimed at rectifying this discrepancy, accentuating the imperative for more responsive and adaptable educational frameworks that are congruent with the dynamic characteristics of the global economy. A noteworthy contribution emerges from Dhamayanthi et al. (2023), who advocate for the incorporation of vocational education and technical training programs that are explicitly aligned with the requirements of rapidly burgeoning industries, such as information technology and healthcare. This methodological perspective is paramount for my research, as it underscores the necessity of ensuring that educational systems encompass not only academic credentials but also programs that address the specialized skill sets required by swiftly evolving sectors.

Additionally, Caliendo et al. (2022) point out the vital necessity of state policy guidelines that encourage persistent education and skill enhancement initiatives. As industries progress in response to technological advancements and market transformations, it becomes essential for workers to perpetually refine their skill sets to sustain competitiveness. This aligns with my research focus on investigating lifelong learning policies and reskilling programs, which can effectively mitigate the long-term repercussions of skills mismatch. By advocating for policies that enhance access to ongoing education, these scholarly contributions reinforce the notion that workforce adaptability can be preserved through the provision of targeted, flexible learning opportunities. This insight is indispensable for comprehending how policy and education may synergistically collaborate to cultivate a workforce that is more adept at fulfilling the requirements of a perpetually evolving job market.

A further salient theme emerging from the literature is the necessity for robust partnerships between industry and academia to confront skills mismatch. Gowrie et al. (2023) highlight that collaborations between educational institutions and industry stakeholders are pivotal in ensuring that curricula not only remain pertinent but also accurately reflect the competencies sought by employers. This is particularly relevant to my research, as it elucidates the function of educational leadership in facilitating these partnerships and ensuring that educational programs are synchronized with actual industry requirements. By nurturing collaborative affiliations between educational institutions and industry, educational leaders can guarantee that students acquire the practical skills requisite for employment. The authors, Byarugaba and others (2023), recommend that policy frameworks should drive corporations to become involved in internship and apprenticeship programs, which would offer students critical experiential learning while they are still focused on their academic goals. Haffenden and Steel (2022) accentuate the significance of cultivating a culture of lifelong learning and embedding soft skills development into policy initiatives aimed at addressing skills mismatch. In the framework of my study, this is notably important since it highlights that educational frameworks ought not to merely concentrate on technical skills but also make sure that students nurture vital soft skills such as effective communication, collaborative efforts, and problem-solving abilities, which are increasingly regarded highly by employers. The provision of flexible, modular learning pathways enables individuals to augment their skills throughout their professional trajectories, thereby ensuring their adaptability and employability within an ever-changing labor market.

METHODS OF THE STUDY

The methodological framework of the investigation is distinguished by a rigorous and multifaceted research design that synthesizes both primary and secondary data sources to yield comprehensive insights into the phenomenon of skills mismatch. The predominant strategy entails the acquisition of primary data through systematically structured instruments, including surveys, interviews, and questionnaires. This approach permits the research to capture contemporaneous, context-specific information from targeted demographic groups, comprising students, educators, and industry professionals. Such a methodology ensures that the findings are firmly rooted in the current labor market realities and accurately reflect the intricate experiences of the study’s participants. Simultaneously, the investigation enhances these findings with secondary data sourced from recognized national and institutional databases, such as those provided by the European Social Survey and Alma Laurea. The secondary data play a crucial role in furnishing macro-level insights and longitudinal trends that elucidate overarching patterns in educational outcomes and labor market disparities.

A pivotal component of the methodology is the dual-data approach that capitalizes on the advantages inherent in both types of data. The utilization of primary data enables the customization of research instruments specifically designed to address particular inquiries regarding skills misalignment, thereby augmenting the reliability and relevance of the findings. For instance, structured interviews and surveys facilitate the collection of both qualitative and quantitative data while simultaneously addressing the contextual complexities of skills mismatch across diverse industries. In contrast, secondary data, which typically encompasses extensive datasets that reflect multiyear trends, provides a longitudinal perspective that is essential for comprehending systemic transformations and validating emergent patterns over time. This integrative methodology not only expands the breadth of the investigation but also enhances the internal and external validity of the study by cross-verifying results through various methodological frameworks.

Moreover, the study meticulously delineates its data collection framework by selecting suitable sample sizes that fluctuate according to the specific investigative dimension of the research. Primary data sources, for instance, included moderate to substantial samples, as evidenced by the collection of responses from 145 participants in certain surveys or from cohorts of final-year students and educators in targeted studies, thereby underscoring the empirical robustness of the study’s findings. Conversely, secondary data sets typically encompass large-scale observations, occasionally exceeding 121,000 data points, which aid in illuminating generalizable trends and significant patterns within labor market dynamics.

RESULTS AND DISCUSSION

Table 1 Sources of Data

Table 1 indicates that scholarly investigations regarding skill mismatches across diverse sectors, notably in education, labor, and industry, employed a heterogeneous array of data types, sources, and sample sizes, thereby illustrating the complex nature of the subject matter. Primary data, primarily obtained through the methodologies of surveys and interviews, continues to dominate the research landscape, as numerous studies rely on these approaches to procure empirical insights directly from participants. The sample sizes for these investigations generally vary from moderate to substantial, exemplified by the 145 respondents in the research conducted by Quintus et al. (2023), alongside 120 final-year students and 21 educators included in Otara’s study (2023). A particularly significant contribution is the research by Govindankutty and Gopalan (2021), which, despite being restricted to five experts, offers comprehensive qualitative insights into the conceptual dilemmas associated with skill mismatches.Conversely, secondary data has also significantly contributed to the advancement of the discourse surrounding skill mismatches. Numerous studies, including those by Abelha et al. (2023) and Floro et al. (2023), have utilized extensive secondary datasets, comprising institutional and national-level data, to investigate broader trends and systemic factors. For instance, Akgüç and Parasnis (2023) conducted an analysis utilizing data from the European Social Survey (ESS), encompassing over 121,000 observations, which yielded insights into the enduring patterns of educational mismatch across various European nations. Additional secondary sources, such as the AlmaLaurea dataset, were employed by Floro et al. (2023) and others to evaluate overqualification and its ramifications on employment outcomes within Italy.

Type of Data. The classification of data—whether it is primary or secondary—serves as a crucial determinant in shaping the focus and profundity of research findings. Within the studies examined, primary data remains the predominant methodological approach, with six out of the ten studies (or 60%) employing surveys, structured interviews, or questionnaires to elicit original data from targeted populations, including students, employees, or industry specialists. This trend underscores the importance of primary data in capturing real-time, context-specific insights into skill mismatches and their ramifications across various sectors, including education, employment, and industry. Primary data empowers researchers to customize their instruments to address specific research inquiries, thereby ensuring that the findings are pertinent and directly applicable to the objectives of the study.

On the other hand, secondary data was utilized in four studies (representing 40%), which encompassed extensive surveys, national databases, and meta-analyses. These investigations contribute to the provision of more comprehensive, generalizable insights into systemic challenges, including enduring trends and regional disparities. The employment of secondary data allows researchers to scrutinize extensive datasets, thereby enhancing the reliability and validity of their conclusions. Secondary data, particularly from institutional or governmental sources, is essential in comprehending long-term trends, such as alterations in educational outcomes or fluctuations in the labor market over time.

Source of Data. The origin of the data is pivotal in shaping the extent and emphasis of the research. Many investigations predicated on secondary data were derived from national or institutional databases, such as the European Social Survey (Akgüç & Parasnis, 2023), Alma Laurea (Floro et al., 2023), and various extensive surveys, which facilitated researchers in analyzing overarching trends across nations or regions. Secondary sources, including governmental and institutional data, provide a macro-level perspective on skill mismatches, illuminating structural elements such as overqualification or discrepancies between educational qualifications and labor market demands. In contrast, studies that employed primary data predominantly relied on surveys and interviews, gathering information directly from respondents. For instance, Otara (2023) concentrated on skill deficiencies in education through pre- and post-intervention assessments with final-year students, while Gowrie et al. (2023) investigated workforce development in Malaysia through methodically structured surveys with industry representatives. These primary sources yielded significant insights into specific skill deficiencies and the efficacy of educational interventions.

Years of Observation. The temporal extent of observation in research significantly affects the relevance and robustness of the resultant findings. Investigations that have utilized secondary data, such as those conducted by Akgüç and Parasnis (2023) or Floro et al. (2023), frequently employed datasets that encompass several years, thereby facilitating the analysis of longitudinal trends and structural alterations in skill mismatches. The incorporation of multi-year datasets permits researchers to scrutinize the evolution of skill mismatches over time as well as the enduring repercussions on labor market outcomes.

Studies that employed primary data, exemplified by Otara (2023) and Gowrie et al. (2023), generally depended on data procured within the same year as the study, thereby ensuring that the findings accurately reflect the prevailing skill requirements and labor market conditions. Although these investigations provide a temporal snapshot of contemporary issues, they may fail to encapsulate the long-term dynamics of skill mismatches or systemic transformations within the labor market.

Sample Sizes. The sample sizes utilized in the studies exhibited variability contingent upon the nature of the data and the objectives of the research. Primary data investigations generally encompassed moderate to substantial sample sizes, as exemplified by the 145 participants in Quintus et al. (2023) or the 120 students and 21 educators in Otara (2023). Such sample sizes are adequate to capture the intricacies of skill mismatches and to formulate substantive conclusions regarding the determinants influencing educational and employment outcomes. Secondary data studies frequently employed extensive datasets, as demonstrated by Akgüç and Parasnis (2023) with 121,000 observations, or Floro et al. (2023) utilizing data from AlmaLaurea. These comprehensive datasets furnish significant insights into macro-level patterns and facilitate more generalized conclusions regarding skill mismatches, albeit they may lack the contextual specificity that primary data studies provide.

Table 2 Distribution of Geographical Setting of the Study

Table 2 presents an extensive synthesis of empirical investigations that elucidate the phenomenon of skills mismatch by categorizing the data sources and methodological frameworks employed within the examined literature. The table articulates the proportion of studies utilizing primary data as opposed to those dependent on secondary sources, accentuating the predominance of context-specific tools—such as surveys, structured interviews, and questionnaires—in capturing the dynamics of the labor market in real-time. This classification clarifies the methodological rigor embraced by scholars in documenting both the micro-level complexities of educational misalignment and the macro-level trends observed over extended durations.

The distinction between primary and secondary data resonates with the findings articulated within the literature, wherein primary data, constituting 60% of the studies encompassed in the sample, permits a nuanced exploration of skills mismatch by specifically addressing demographic cohorts, including students, educators, and industry practitioners. These tools not only provide detailed insights into the immediate context of skill deficiencies but also enable a thorough evaluation of curricular misalignment vis-a-vis industry requirements. The robustness of these primary data methodologies is further emphasized by their relevance in developing context-specific interventions designed to alleviate the phenomena of overqualification and underqualification, thereby underscoring the intricate equilibrium between academic preparation and labor market demands.

This observation reveals that approximately 40% of the studies leverage extensive secondary datasets obtained from national or institutional repositories such as the European Social Survey and Alma Laurea. The amalgamation of these large-scale, longitudinal data sources accentuates the significance of capturing persistent trends and systemic transformations in skills mismatch, thereby furnishing a macro-level perspective that contextualizes the immediate empirical findings. Such a strategy not only empowers researchers to discern overarching patterns of educational inadequacies but also facilitates a critical analysis of how systemic elements, including technological advancements and globalization, influence the observed phenomena over time.

The incorporation of both primary and secondary data further mirrors the multi-methodological approach advocated in the literature for addressing educational misalignment. For example, the dual-data strategy enhances both the internal and external validity of the research, ensuring that context-specific insights are substantiated by generalizable trends. This integrative methodology aligns with the assertions posited by scholars who advocate for the necessity of adaptive and flexible educational frameworks that adequately respond to the evolving demands of contemporary labor markets. Moreover, the comprehensive categorization presented accentuates a critical appraisal of measurement techniques, illuminating both the advantages and limitations intrinsic to each methodology. Such an evaluative standpoint is imperative for generating robust policy recommendations and for promoting future research aimed at bridging the chasm between academic preparedness and labor market requirements. It not only delivers an empirical snapshot of the methodological landscape in skills mismatch research but also situates these findings within the broader discourse on educational leadership, policy development, and the dynamic interplay between data sources and labor market exigencies.

Table 3 Distribution of Geographical Setting of the Study

Table 3 shows the analysis of statistical methodologies across 35 studies indicates that Regression Analysis (31.43%) and Correlation Analysis (25.71%) are the predominant approaches, underscoring the persistent prevalence of these techniques in empirical inquiry. Recent investigations, such as those conducted by Alavi and Jafari (2019), further corroborate the widespread utilization of regression models for elucidating causal relationships and facilitating predictions across diverse domains, ranging from economics to public health. Their research underscores that regression analysis continues to be an indispensable instrument for forecasting outcomes and elucidating relationships between independent and dependent variables. In a like manner, Yang et al. (2019) point out the critical role that correlation analysis plays in understanding the strength and direction of inter-variable connections, which is essential for the foundational phases of research.

Descriptive Analysis, employed in 14.29% of the studies, remains a critical component, particularly during the initial phases of research where the distillation of essential data characteristics is paramount. Binner et al. (2020) assert that descriptive statistics are vital for comprehending data distributions and trends prior to the application of more sophisticated methodologies. This approach acts as a preliminary phase in data analysis, providing a foundation for subsequent hypothesis testing or modeling.

The engagement of Thematic and Case Analysis in 11.43% of the studies is noteworthy, as qualitative methodologies have experienced a resurgence in contemporary research. Marshall and Rossman (2019) contend that thematic analysis, especially within case studies, enables researchers to attain profound insights into intricate, real-world phenomena that elude capture by quantitative methods alone. This observation aligns with the increasing trend of integrating qualitative and quantitative methodologies to furnish a more comprehensive understanding of research inquiries.

The implementation of ANOVA and Chi-Square Tests in 5.71% of studies indicates their continued significance within certain research frameworks, particularly those involving the comparison of group means or the examination of categorical data relationships. It is noteworthy that the current academic work, particularly that conducted by Smith and others (2020), reveals that even though these approaches are crucial, more refined techniques are commonly chosen for working with complicated data sets.

The employment of advanced methodologies such as PLS Path Modeling and Structural Equation Modeling (SEM) in a select subset of studies reflects a burgeoning inclination towards multivariate techniques for scrutinizing more intricate relationships. As stated by Gefen and his team in their 2020 analysis, SEM, which helps in verifying theoretical constructs that incorporate several variables and latent factors, is seeing increased use for justifying intricate models in sectors such as marketing and organizational behavior. In the same manner, Ringle et al. (2021) clarify the strengths of PLS Path Modeling for its ability to manage smaller sample sizes and assess intricate models, hence explaining its use in the research captured in this dataset.

Finally, Factor Analysis, despite being employed in only 2.86% of the studies, persists as a vital methodology for unveiling underlying constructions within extensive datasets. Costello and Osborne (2021) reaffirm the utility of factor analysis in recognizing patterns within data, which can subsequently inform scale development or the establishment of latent variables. The relatively limited application of this methodology suggests that fewer studies necessitated dimensionality reduction; however, its significance in areas such as psychology and marketing remain widely acknowledged.

Table 4. Parameters Used in Measuring Skill Mismatch

Table 4 encapsulates the findings of 35 studies concerning skill mismatches, thereby highlighting a substantial corpus of research dedicated to elucidating the impact of disparities between competencies acquired through educational systems and those necessitated by the labor market on various outcomes, such as employment rates, remuneration, and innovation. The studies encompass a diverse array of industries, geographical regions, and methodological frameworks, thereby offering a thorough examination of the intricate and multifarious nature of skill mismatches.

Educational Mismatch and Overqualification. The empirical investigations reveal a persistent motif of overqualification and its detrimental effects on wage outcomes. The research conducted by Floro and colleagues (2020), in conjunction with the findings of Pastore and associates (2020), illustrates that individuals possessing educational credentials that exceed the requirements of their positions frequently experience diminished wages. This phenomenon aligns with the human capital theory, which asserts that the competencies and knowledge acquired through education ought to result in augmented productivity and, consequently, elevated earnings. Regardless, when there’s a divide between educational backgrounds and the necessary qualifications for employment, the positives of education are lessened, resulting in situations where individuals may find themselves underused or compensated poorly compared to roles that match their qualifications.

Industry-Specific Skills Mismatch. Numerous scholarly investigations concentrate on industries wherein the discrepancies in skill sets are especially evident. For instance, Gowrie et al. (2020) analyze the skills deficit within Malaysia’s technical and vocational education and training (TVET) sector, highlighting the necessity for enhanced collaborations between industry and academia to more effectively synchronize training initiatives with labor market demands. This perspective is consistent with the model of employability skills proposed by Jackson and Chapman (2012), which accentuates the critical nature of cooperative efforts between educational establishments and industry stakeholders to mitigate skills discrepancies. Furthermore, Dias and Escoval (2020) meticulously investigate the specific requirements of hospitals, which necessitate an equilibrium between technical competencies and interpersonal skills for the efficient delivery of healthcare services, positing that the existing skills mismatch in this context adversely impacts the capacity for innovation.

The corpus of contemporary literature pertaining to skills mismatch predominantly reinforces the data elucidated in the table. Guthrie and Burga (2020) contend that spatial discrepancies between the locations of workers’ residences and job sites, particularly in urban areas characterized by pronounced economic inequality, engender obstacles to employment, thereby exacerbating the difficulties faced by individuals in underprivileged regions in accessing opportunities commensurate with their skills. This development has been particularly clear in both the United States and Europe, as supported by findings from Bol et al. (2019) and Cultrera et al. (2020), which reinforce the importance of addressing geographic hurdles while also improving the correspondence between educational results and labor market needs. The divergence between soft skills and technical skills constitutes an escalating concern within the context of the contemporary globalized economy. As stated by Börner et al. (2020), there is a considerable shortcoming in the teaching of soft skills within academic curricula, despite their rising significance in the job landscape. This predicament is further examined by Guthrie and Burga (2020), who advocate for the implementation of policies aimed at concurrently augmenting technical training and soft skills as essential for equipping students to meet the exigencies of modern economic landscapes. Also, Börner and colleagues (2020) stress the need for a well-rounded grasp of both technical abilities—like coding and analyzing data—and the important soft skills that are necessary for strong teamwork, leadership, and communication. Their conclusions resonate with those posited by Börner et al. (2019), who assert that the disjunction between academic provisions and industry requirements for both hard and soft skills culminate in inefficiencies within the labor market.

CONCLUSION AND RECOMMENDATION

1. The scholarly discourse surrounding the phenomenon of skills mismatch elucidates a salient issue pertinent to both emerging and established economies: the disjunction between the competencies imparted by educational institutions and the expectations of the labor market. A substantial corpus of contemporary research has scrutinized the multifaceted dimensions of this phenomenon, uncovering significant ramifications for labor markets, individual professional trajectories, and overall economic advancement.
2. A principal inference derived from these investigations is the escalating incidence of both underqualification and overqualification within the workforce. This incongruity is particularly pronounced in sectors undergoing rapid transformation attributable to technological progress, such as healthcare, information technology, and engineering. As these domains necessitate increasingly specialized expertise, educational systems frequently falter in their ability to adapt, resulting in a labor force that is either insufficiently equipped for positions or disproportionately credentialed relative to job specifications. respectively, there is a significant need for curricula to blend technical prowess with soft skills, given that employers are now valuing not only subject-specific knowledge but also essential qualities like adaptability, teamwork, and communication effectiveness.
3. Compounding the issue of skills mismatch is the accelerated pace of technological innovation, which incessantly alters industry demands. accentuate the critical importance of educational institutions exhibiting agility and responsiveness to these evolving requirements. Conventional educational paradigms predominantly emphasize theoretical constructs, which can rapidly become obsolete in dynamic fields such as information technology and healthcare. To mitigate this challenge, sustained collaborations between academic entities and industry stakeholders are vital. Such partnerships facilitate the alignment of educational outputs with labor market necessities, thereby ensuring that students acquire pertinent competencies through mechanisms such as internships, apprenticeships, and work-integrated learning (WIL) initiatives.
4. Educational leadership occupies a crucial position in alleviating skills misalignment by cultivating progressive and flexible curricula. illustrates that educational administrators who emphasize the ongoing assessment of curricula and foster partnerships with industry stakeholders can markedly improve the employability of graduates. Furthermore, as the global economic landscape increasingly prioritizes lifelong learning, educational institutions are compelled to integrate adaptable learning trajectories that facilitate the reskilling and upskilling of individuals throughout their professional lives.
5. The extant literature further underscores the necessity of addressing the deficiency in soft skills. While technical proficiency remains essential, employers are progressively prioritizing attributes such as leadership, problem-solving abilities, and effective interpersonal communication. Educational constructs that neglect the incorporation of these competencies contribute to an expanding skills disparity, Consequently, a holistic strategy that amalgamates the development of both hard and soft skills is imperative for equipping graduates to thrive in the contemporary workforce.

Recommendation

The phenomenon of skills mismatch constitutes a significant impediment for both labor markets and educational frameworks globally, as ongoing technological innovations and the forces of globalization incessantly transform the demands of the workforce. In consideration of contemporary research findings, a holistic strategy aimed at alleviating skills mismatch necessitates collaborative endeavors among educational administrators, policymakers, and representatives from various industries. The subsequent recommendations, anchored in recent scholarly literature, seek to confront this urgent issue.

1. There exists an imperative for educational systems to transition towards a more fluid and responsive framework, capable of swiftly adapting to the accelerated tempo of technological advancements. Underscore the significance of integrating vocational education and training (VET) initiatives that are closely aligned with industry necessities, particularly within sectors experiencing high demand, such as information technology, healthcare, and digital technologies. By cultivating partnerships between academic institutions and industry players, educational entities can ensure that curricular offerings are not only pertinent but also reflective of contemporary and prospective labor market requisites. Such collaboration can be facilitated through joint curriculum formulation, industry-driven training initiatives, internships, and apprenticeships, a which provide students with practical, experiential learning that is directly relevant to their future employment.
2. It is essential for educational leaders to advocate for the fusion of technical expertise and soft skills within learning frameworks. While technical proficiency remains essential, the burgeoning demand for soft skills—such as effective communication, leadership, problem-solving abilities, and adaptability—demands equally significant consideration. The trend among employers is to look for people who not merely perform certain functions but also collaborate efficiently in teams, adapt to ongoing changes, and exhibit leadership in fluid situations. The incorporation of soft skills training alongside technical education will equip graduates to confront the multifaceted challenges presented by contemporary workplaces, thereby bridging the divide between the competencies cultivated by educational institutions and those sought by employers.
3. Cultivating an environment that promotes lifelong learning is essential. As technological advancements persist, it is imperative that employees have access to continuous opportunities for reskilling and upskilling throughout their professional journeys. who highlight the critical nature of policies that endorse lifelong educational initiatives. It is incumbent upon government entities to provide incentives for organizations to allocate resources towards employee training and reskilling initiatives, while educational institutions ought to present flexible, modular learning frameworks that enable individuals to enhance their competencies without interrupting their career trajectories. Such a strategy guarantees that employees remain competitive in a dynamic labor market.
4. Confronting the particular issue of overqualification and underqualification necessitates a more customized approach to education and employment. demonstrate that the dissonance between educational credentials and job prerequisites results in inefficiencies, including diminished productivity and wage penalties. It is vital for policymakers and educational authorities to collaborate in formulating strategies that more closely align educational outputs with labor market exigencies. This might lead to a stronger commitment to career counseling and workforce strategies in order to guide students toward making educated choices about their academic and career directions, thereby minimizing the risks tied to being overqualified or underqualified.
5. Addressing the skills mismatch necessitates a comprehensive strategy that integrates adaptive educational methodologies, strong industry-academic partnerships, frameworks for lifelong learning, and an emphasis on the development of both technical and interpersonal skills. By utilizing these recommendations, stakeholders can strengthen the job readiness of graduates, address inefficiencies within the labor market, and ultimately create a workforce that is better prepared to excel in an evolving and intricate global economy.

REFERENCES

1. Brun-Schammé, A.,& Rey, M. (2021). A new approach to skills mismatch. OECD Productivity Working Papers.
2. Desjardins, R., & Rubenson, K. (2011). An analysis of skill mismatch using direct measures of skills.
3. Dewi, Y. E. P., Dwiatmadja, C., & Suharti, L. (2019). A qualitative study on learning organization as an essential action lowering skill mismatch effects. Business: Theory and Practice, 20, 50-60.
4. Fuentes, S. Q., & Jimerson, J. B. (2019). Tackling instructional mismatch. The Learning Professional, 40(5), 32-35.
5. Guvenen, F., Kuruscu, B., Tanaka, S., & Wiczer, D. (2020). Multidimensional skill mismatch. American Economic Journal: Macroeconomics, 12(1), 210-244.
6. Hasnan, K. A., Zakariya, Z., Yin, K. Y., & Aziz, S. N. A. (2019). Skill mismatch among instructors across technical and vocational education training (TVET) institutions in Malaysia. International Journal of Innovation, Creativity and Change, 10(6), 270-279.
7. Hondonga, J., Ramaligela, M. S., & Makgato, M. (2021). Investigation on possible mismatch between TVET skills acquired in high school and workplace skills needed by Zimbabwean migrants in Botswana: A case study of Botswana’s South East District. Diaspora, Indigenous, and Minority Education, 15(3), 208-220.
8. Hora, M. T., Fischer, J. J., Jang-Tucci, K., & Song, H. (2024). Research report.
9. Ibrahim, A., & Nashir, I. M. (2022). Demand-supply mismatch in TVET academic programmes: What is it and what should it be?. Journal of Technical Education and Training, 14(2), 177-189.
10. Ismail, J. B., Chik, C. T., & Hemdi, M. A. (2021). TVET graduate employability: Mismatching traits between supply and demand. International Journal of Academic Research in Business and Social Sciences, 11(13), 223-243.
11. Lichy, J., & Khvatova, T. (2019). Rethinking solutions for re-balancing the education–job mismatch. Journal of Management Development, 38(9), 733-754.
12. McGuinness, S., Redmond, P., Staffa, E., Devlin, A., & Whelan, A. (2025). Skills mismatch: What do we already know and what do we need to know?. In Handbook of Education and Work (pp. 318-339). Edward Elgar Publishing.
13. Mordi, C., Ajonbadi, H. A., & Adekoya, O. D. (Eds.). (2023). Employee relations and trade unions in Africa: A critical approach. Springer Nature.
14. Rodzalan, S. A., Noor, N. N. M., Abdullah, N. H., & Saat, M. M. (2022). TVET skills gap analysis in electrical and electronic industry: Perspectives from academicians and industry players. Journal of Technical Education and Training, 14(1), 158-177.
15. Shin, D. H., & Bills, D. (2021). Trends in educational and skill mismatch in the United States. Social Sciences, 10(10), 395.
16. Song, X., Huang, X., & Huang, K. (2019, July). Research on the effect of skill mismatch on skill development and job satisfaction among graduates. In Proceedings of the 2019 10th International Conference on E-business, Management and Economics (pp. 128-132).
17. Sutherland, J. (2012). Qualifications mismatch and skills mismatch. Education+ Training, 54(7), 619-632.
18. Vandeplas, A., & Thum-Thysen, A. (2019). Skills mismatch & productivity in the EU. Luxembourg: Publications Office of the European Union.
19. Zeleke, B. (2022). The mismatch between technical and vocational education and training graduates’ competence and expected employees’ skills: Perceived experience of employers in private firms of Addis Ababa. East African Journal of Social Sciences and Humanities, 7(1), 47-68.
20. Zhurukov, D. (2020). Skills mismatch elimination as a method to raise the level of Finnish higher education.