Contributions to Books:

M. Khobreh, F. Ansari, U. Seidenberg:
"A Knowledge-Based Approach for Linking Workforce Experience and Labor Productivity in Smart Factory Industry 4.0, Building Future Competences - Challenges and Opportunities for Skilled Crafts and Trades in the Knowledge Economy";
in: "BUILDING FUTURE COMPETENCES - Challenges and Opportunities for Skilled Crafts and Trades in the Knowledge Economy", Vol. 2; issued by: IAGF - Institute for Applied Research on Skilled Crafts and Trades, Vienna, Austria (Paulus Stuller & Reinhard Kainz); IAGF, Wien, 2020, ISBN: 978-3-7089-2014-6, 20 pages.

English abstract:
Industrialization of Artificial Intelligence (AI) raises
several questions, inter alia, whether machines can
gain work experience alike human workforce, whether
the on-the-job obtained experiences may enrich
existing knowledge, skills and abilities (KSCs) and
untimely lead to improve its productivity. If so, human-
and machine workforce initiate a new competition in
the era of intelligentization where not only AI-enhan-
ced and smart machines reproduce human cognitive
and physical capabilities, but also they may challenge
the unique role of human as a learner. Despite
economic, ethical and societal challenges, intelligenti-
zation undergoes rapid changes in the manufacturing
enterprises. This paper explores the linkage between
gaining workforce experience and labor productivity
in hybrid man-machine settings. The ultimate goal,
partially addressed in this paper, is to anticipate the
learning trajectory of human and machine workfor-
ce and thus recommend the new division of labors
and innovate new processes and products in smart

Ontology, Task, Learning, Labor Productivity, Division of labor, Smart Factory

Created from the Publication Database of the Vienna University of Technology.