A Knowledge-Based Approach for Linking Workforce Experience and Labor Productivity in Smart Factory Industry 4.0

Marjan Khobreh, Fazel Ansari, Ulrich Seidenberg

Publication: Chapter in book/Conference proceedingChapter in edited volume

Abstract

Industrialization of Artificial Intelligence (AI) raises several questions, inter alia, whether machines can gain work experience alike human workforce, whetherthe on-the-job obtained experiences may enrich existing knowledge, skills and abilities (KSCs) anduntimely 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 manufacturingenterprises. 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 factories.
Original languageEnglish
Title of host publicationBuilding Future Competences
Subtitle of host publicationChallenges and Opportunities for Skilled Crafts and Trades in the Knowledge Economy
EditorsHeidrun Bichler-Ripfel , Florian Kragulj
Place of PublicationVienna, Austria
PublisherFacultas Verlags- und Buchhandels AG
Pages17 - 35
ISBN (Print)9783708920146
Publication statusPublished - 2020

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 502050 Business informatics

Cite this