ANALYSIS OF EMPLOYABILITY SKILLS OF BUSINESS SCHOOL GRADUATES WITH A FOCUS ON COMMUNICATION SKILLS: A NEURAL NETWORK (NN) APPROACH BASED ON BOTH GRADUATES' AND HR MANAGERS' PERSPECTIVES

This study examines the overall employability skills of business school graduates, with a particular emphasis on communication skills, a critical component for career success. By adopting a Neural Network (NN) approach, the research analyzes both graduates' self-assessments and HR managers' evaluations to identify gaps between graduate competencies and industry expectations. The study explores key employability dimensions, including interpersonal communication, verbal and non-verbal skills, and their relevance in the professional environment. The findings offer insights into the alignment between business education and workplace demands, aiming to improve employability outcomes through targeted skills development. This analysis provides actionable recommendations for business schools and industry stakeholders to bridge skill gaps and enhance graduate employability in an increasingly competitive job market.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-19
DOI
https://doi.org/10.5281/zenodo.13790088
Primary Topic
Higher Education and Employability
Type
article
Field-Weighted Citation Impact
0.00
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article

ANALYSIS OF EMPLOYABILITY SKILLS OF BUSINESS SCHOOL GRADUATES WITH A FOCUS ON COMMUNICATION SKILLS: A NEURAL NETWORK (NN) APPROACH BASED ON BOTH GRADUATES' AND HR MANAGERS' PERSPECTIVES

Zenodo (CERN European Organization for Nuclear Research)
Higher Education and Employability
article

ANALYSIS OF EMPLOYABILITY SKILLS OF BUSINESS SCHOOL GRADUATES WITH A FOCUS ON COMMUNICATION SKILLS: A NEURAL NETWORK (NN) APPROACH BASED ON BOTH GRADUATES' AND HR MANAGERS' PERSPECTIVES

article en

Abstract

This study examines the overall employability skills of business school graduates, with a particular emphasis on communication skills, a critical component for career success. By adopting a Neural Network (NN) approach, the research analyzes both graduates' self-assessments and HR managers' evaluations to identify gaps between graduate competencies and industry expectations. The study explores key employability dimensions, including interpersonal communication, verbal and non-verbal skills, and their relevance in the professional environment. The findings offer insights into the alignment between business education and workplace demands, aiming to improve employability outcomes through targeted skills development. This analysis provides actionable recommendations for business schools and industry stakeholders to bridge skill gaps and enhance graduate employability in an increasingly competitive job market.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 41%
Higher Education and Employability
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ANALYSIS OF EMPLOYABILITY SKILLS OF BUSINESS SCHOOL GRADUATES WITH A FOCUS ON COMMUNICATION SKILLS: A NEURAL NETWORK (NN) APPROACH BASED ON BOTH GRADUATES' AND HR MANAGERS' PERSPECTIVES · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS