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Understanding Employability Gaps in Gen Z: A Multi-Theoretic Analysis Using TOE, Expectancy and Self-Determination Frameworks

Title: Understanding Employability Gaps in Gen Z: A Multi-Theoretic Analysis Using TOE, Expectancy and Self-Determination Frameworks
Language: English
Authors: Santanu Mandal (ORCID 0000-0002-4293-2362); Sarath Babu; Payel Das (ORCID 0000-0002-1631-6646); Ritesh Kumar Dubey (ORCID 0000-0003-1004-1132); R. Nandgopan
Source: Higher Education, Skills and Work-based Learning. 2026 16(2):272-292.
Availability: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
Peer Reviewed: Y
Page Count: 21
Publication Date: 2026
Intended Audience: Teachers; Policymakers
Document Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Descriptors: Foreign Countries; Undergraduate Students; Age Groups; Student Placement; Technology Uses in Education; Electronic Learning; Readiness; Expectation; Self Determination; Interpersonal Competence; Resilience (Psychology); Career Development; Employment Potential; Barriers; Education Work Relationship
Geographic Terms: India
DOI: 10.1108/HESWBL-07-2025-0294
ISSN: 2042-3896
Abstract: Purpose: This study explores the systemic, behavioral and motivational barriers affecting Gen Z students' placement preparedness in Indian higher education. It aims to offer a multi-theoretic and stakeholder-informed model for understanding and addressing employability challenges. Design/methodology/approach: This study integrates the technology-organization-environment (TOE) framework, expectancy theory, and self-determination theory (SDT) to examine 14 placement preparedness barriers. Data were collected from 227 final-year students and 152 faculty and placement professionals from Tier 1 and Tier 2 institutions. The interpretive structural modeling (ISM) and MICMAC techniques were used to map interrelationships and identify high-leverage variables. Findings: The analysis reveals that skill development gaps, digital overdependence and a lack of experiential learning are foundational barriers. These manifest as soft skill deficiencies, performance anxiety and expectation mismatches in the workplace. Faculty and placement professionals emphasized attention deficits, overconfidence in digital tools and lack of accountability. The ISM-MICMAC model highlights key driver variables, such as experiential learning and attention management, offering targeted intervention pathways. Research limitations/implications: This study is contextually bound to Indian higher education and may not be generalizable globally. ISM-MICMAC's reliance on expert judgment introduces subjectivity, whereas its cross-sectional design captures only a snapshot in time. Future research should incorporate longitudinal data, employer feedback and cross-cultural comparisons to strengthen predictive validity and extend the model's applicability beyond India. Practical implications: Institutions must embed career readiness into curricula through internships, live projects and simulations. Behavioral enablers, such as accountability, resilience and digital discipline, should be cultivated through mentoring and reflective practices. Faculty development must expand instructors' roles into career mentors, while policy should prioritize curriculum-industry alignment and equitable access to placement ecosystems, especially in Tier 2 and Tier 3 institutions. Social implications: The findings reveal employability gaps as systemic, shaped by digital overdependence, unrealistic expectations and socio-economic inequities. Addressing these challenges requires coordinated societal efforts; families, educators and employers must reinforce interpersonal skills, resilience, and realistic career outlooks. Expanding equitable access to career resources and experiential opportunities is vital for underserved institutions to thrive. A whole-of-society response can prepare Gen Z to be work-ready, emotionally resilient and socially accountable. Originality/value: This study contributes a novel systems-level, dual-perspective framework that integrates the psychological, institutional and technological dimensions of employability. It re-theorizes placement readiness as a co-produced, psychologically embedded process, offering actionable insights for educators, policymakers and placement programs aiming to future-proof the employability of Gen Z graduates.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1501729
Database: ERIC