Access the full text.
Sign up today, get DeepDyve free for 14 days.
The purpose of this paper is to conceptualise graduate work-readiness (GWR) and to develop a scale to measure it.Design/methodology/approachThe methodology entailed the compilation of a literature review and the conduct of qualitative interviews and a focus group to generate items. This study used the “resource-based view” approach to conceptualise a multi-dimensional–“work-readiness integrated competence model (WRICM)”–consisting of four main factors (namely, intellectual, personality, meta-skill and job-specific resources), with a further ten sub-dimensions. Further, a series of tests were performed to assess its reliability and validity.FindingsA final 53-item WRICM scale covering four dimensions and ten sub-dimensions of GWR was developed based on the perceptions of 362 HR professionals and managers from seven Asia-Pacific countries. The ten sub-dimensions covering 53 work-readiness skills reflect the perceptions of stakeholders regarding the work-readiness of graduates. The scale was found to be psychometrically sound for measuring GWR.Research limitations/implicationsThough the WRICM model is based on the inputs of different stakeholders of GWR (employers, educators, policy makers and graduates), the development of the WRICM scale is based on the perspectives of industry/employers only.Practical implicationsThe WRICM model has implications for education, industry, professional associations, policy makers and for graduates. These stakeholders can adapt this scale in assessing the work-readiness of graduates in different streams of education.Originality/valueThe authors believe that the WRICM model is the first multi-dimensional construct that is based on a sound theory and from the inputs from graduate work-readiness stakeholders from seven Asia-Pacific countries.
Education + Training – Emerald Publishing
Published: Jun 10, 2019
Keywords: Scale development; Graduate work-readiness; Work-readiness construct; Work-readiness scale; Work-readiness model
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
To subscribe to email alerts, please log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Reference ManagersExport to EndNote
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.