Life dataresearch report

Global taxonomy From Building a common language of work skills

The following is the Global taxonomy From Building a common language of work skills recommended by recordtrend.com. And this article belongs to the classification: Life data, research report.

The report points out that the cowid-19 pandemic and the associated persistent global recession have changed the global pattern of employment and skills, and these changes have accelerated the need for large-scale re skill, skill enhancement, learning and re deployment. The current learning and work adaptation system does not provide the flexibility that lifelong learners need, which poses additional challenges in linking workers to learning opportunities.

50% of respondents said that most of all employees will need retraining by 2025; 40% expected that the core skills of existing workers would change in the next five years.

The new data-driven approach demonstrates the ability to re skilled, improve skills and re deploy talent using a skills based approach. By decomposing job roles into skill sets, employers can better understand the feasible ways of job transition based on the similarity of skills required by different roles, and make more intelligent decisions on the re skills and re skills needed to support these transitions.

Adjusting the global classification of skills is the first step in making skills the currency of the labor market, which will bring returns to individuals, businesses and governments.

The common language of unifying skills enables enterprises to effectively find the right talents to fill the emerging roles needed for development. The study found that the employment success rate of entry-level employees can be predicted to be five times higher than the degree requirement by using the skill based recruitment method. GSC can also achieve greater intra industry and cross industry collaboration in the re deployment of work, so that learning providers can more effectively meet training needs and train talents for future work.

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