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@article{194652,
author = {Sen B Mathews and J. Senthil Velmurugan},
title = {COMPETENCY MAPPING FOR CAREER READINESS AMONG BUSINESS SCHOOL STUDENTS: A SYSTEMATIC LITERATURE REVIEW},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {10},
pages = {4793-4798},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=194652},
abstract = {The growing demand for industry-ready graduates has intensified the need for higher education institutions to ensure that students develop competencies required by modern workplaces. Business schools, in particular, are expected to prepare students with both technical and transferable skills that enhance career readiness. Competency mapping has emerged as an important tool for identifying and aligning student competencies with industry expectations. This study aims to systematically review existing literature on competency mapping and career readiness among business school students. A systematic literature review was conducted following PRISMA guidelines using Scopus and Web of Science databases. After applying inclusion and exclusion criteria, 39 relevant peer-reviewed articles published between 2010 and 2025 were selected for analysis. The findings reveal five major competency clusters necessary for career readiness: technical competencies, soft skills, cognitive competencies, digital competencies, and professional competencies. The review highlights significant gaps in integrating competency mapping frameworks within business education curricula. Based on the synthesis of the literature, a conceptual framework linking competency development with career readiness and employability outcomes is proposed. The findings contribute to higher education literature by consolidating fragmented research and providing insights for educators and policymakers seeking to enhance graduate employability.},
keywords = {competency mapping, career readiness, employability skills, business education, systematic literature review},
month = {March},
}
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