Technologies, trends and theories:
knowledge at the cutting edge.

Our knowledge base contains information, interesting facts and selected articles on the latest trends and current developments on global labor markets and in the world of semantic technologies relating to human resources and recruitment, occupation (big) data and ontologies / knowledge graphs, job classifications, CV parsing, skills and job matching and much more.

If not now, then when? Digitalizing PES in times of COVID – and what it costs.

The current worldwide pandemic has catapulted the labor market into a state of unprecedented turbulence. According to the OECD, the impact on jobs just within the first three months has been 10 times that of the 2008 financial crisis. Entire sectors such as hospitality, civil aviation and cultural sectors have been hit hard, resulting in mass job losses and collapsing self-employed incomes. On the other hand, e-commerce and supermarkets, courier and logistics services,  » Read more about: If not now, then when? Digitalizing PES in times of COVID – and what it costs.  »

Analyzing skills data. Can you see the gorilla?

This is the fourth and last in a series of posts about skills. If you haven’t already, we recommend you read the other posts first: Cutting through the BS and Sorry folks, but “Microsoft Office” is NOT a skill and The poison apple of “easy” skills data – are you ready to give up that sweet taste?
In the third post of this series, we discussed the challenges and opportunities of online job advertisement (OJA) data.  » Read more about: Analyzing skills data. Can you see the gorilla?  »

The poison apple of “easy” skills data – are you ready to give up that sweet taste?

This is the third in a series of posts about skills. If you haven’t already, read the other posts first:
Cutting through the BS and Sorry folks, but “Microsoft Office” is NOT a skill.
In the second post of this series, we discussed skills and the issues around defining and specifying them. Assuming we can reach some kind of common understanding of this valuable new currency, the next step is to find a way to generate meaningful skills and job data.  » Read more about: The poison apple of “easy” skills data – are you ready to give up that sweet taste?  »

Would you buy a wheel if someone told you it was a bicycle?

After recently stumbling upon this Forbes post from 2019, and with skills ontologies entering the Gartner HCM Tech hype cycle, we decided it’s high time to discuss the difference between taxonomies and ontologies again. Although we have been developing and explaining our ontology for over 10 years, many HR and labor market professionals still let themselves be sold on the idea that a taxonomy is good enough for jobs and skills matching.  » Read more about: Would you buy a wheel if someone told you it was a bicycle?  »

Sorry folks, but “Microsoft Office” is NOT a skill.

One of the most prominent buzzwords around employment, employability and workforce management is skills. There is a lot of noise surrounding this concept and its fellow buzzwords like reskilling, upskilling, skills matching, skills alignment, skill gaps, skills anticipation, skills prediction, and so on. One can find myriad publications and posts explaining why skills are so important, how to analyze skills supply and demand, how to develop active labor market policies based on skills, how to manage and develop employee skills – as well as the many sites listing the “most in-demand skills” of the year.  » Read more about: Sorry folks, but “Microsoft Office” is NOT a skill.  »