Preparing a Globally Competent Workforce: A Mixed Methods Study of an Innovative Co-Curricular University Program

Maria Cseh et al.

Advances in Developing Human Resources2024https://doi.org/10.1177/15234223241296186article
AJG 2ABDC C
Weight
0.54

What the paper says

Problem Human resource development (HRD) scholars and practitioners have long sought ways to develop employees to meet the needs of globalized workplaces. However, given that many employers expect employees to possess global skills before they begin working, it is incumbent upon HRD educators in higher education contexts to develop and implement innovative programs to enrich global competence, which includes the knowledge, skills, experience, and mindset required for global work. Solution This mixed methods study describes and explores the efficacy of an innovative co-curricular program, the Global Competence Enrichment Program, designed to enhance the global competence of American and international graduate students enrolled at a higher education institution in the United States through a mutual intercultural learning process. Stakeholders Stakeholders include HRD scholars and practitioners as well as organizational leaders interested in designing and implementing HRD programs around global competence enrichment.

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https://doi.org/https://doi.org/10.1177/15234223241296186

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@article{maria2024,
  title        = {{Preparing a Globally Competent Workforce: A Mixed Methods Study of an Innovative Co-Curricular University Program}},
  author       = {Maria Cseh et al.},
  journal      = {Advances in Developing Human Resources},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1177/15234223241296186},
}

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Evidence weight

0.54

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.58 × 0.4 = 0.23
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.