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Cited by 849

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Soft skills to enhance graduate employability: comparing students and employers’ perceptions

Succi, Chiara, Canovi, Magali·2020·Studies in Higher Education

Abstract

The aim of this article is to show the increased relevance of soft skills in a continuously changing environment. A research was carried out to examine and compare students’ and employers’ perceptions regarding the importance of soft skills in different European countries. Results show that 86% of respondents indicate an increased emphasis on soft skills over the last 5–10 years and that companies consider soft skills more important than students/graduates. Furthermore, major differences have also been identified in the ranking of the 20 soft skills listed in this paper, indicating different levels of priorities. This paper suggests that companies and Higher Education Institutions (HEIs) need to work together not only to increase students’ awareness of the importance of soft skills but also to guide them in taking individual responsibility to acquire and develop these essential skills in order to continuously adapt to the changing labour market and improve their employability.

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Metadata

Authors
Succi, C., & Canovi, M.
Venue
Studies in Higher Education
Published
2019-03-05
Volume
45
Issue
9
Pages
1834-1847
ISSN
  • 0307-5079 (ISSN-L)
  • 1470-174X
OpenAlex
W2921986321
Cited by
849
References
30
FWCI
155.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Soft skills to enhance graduate employability: comparing students and employers’ perceptions. https://app.cochat.ai/papers/10.1080/03075079.2019.1585420
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Succi, C., & Canovi, M. (2020). Soft skills to enhance graduate employability: comparing students and employers’ perceptions. Studies in Higher Education. https://doi.org/10.1080/03075079.2019.1585420

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.