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How to facilitate manufacturing industry learning from problems: a review on advanced technology problem-solving
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
2023 (English)In: Journal of Workplace Learning, ISSN 1366-5626, E-ISSN 1758-7859, Vol. 35, no 6, p. 470-489Article, review/survey (Refereed) Published
Abstract [en]

Purpose The purpose of this paper is twofold: to identify and map contemporary research on advanced technology implementations for problem-solving purposes in the manufacturing industry, and to further understand the organizational learning possibilities of advanced technology problem-solving in the manufacturing industry.

Design/methodology/approach This paper outlines a scoping review of contemporary research on the subject. The findings of the review are discussed in the light of theories of contradicting learning logics.

Findings This paper shows that contemporary research on the subject is characterized by technological determinism and strong solution-focus. A discussion on the manufacturing industries’ contextual reasons for this in relation to contradicting learning logics shows that a Mode-2 problem-solving approach could facilitate further learning and expand knowledge on advanced technology problem-solving in the manufacturing industry. A research agenda with six propositions is provided.

Originality/value The introduction of advanced technology implies complex effects on the manufacturing industry in general, while previous research shows a clear focus on technological aspects of this transformation. This paper provides value by providing novel knowledge on the relationship between advanced technology, problem-solving and organizational learning in the manufacturing industry.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2023. Vol. 35, no 6, p. 470-489
Keywords [en]
Advanced technology, Manufacturing industry, Organizational learning, Problem-solving, Scoping review
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-62176DOI: 10.1108/JWL-01-2023-0008ISI: 001034050400001Scopus ID: 2-s2.0-85165506265Local ID: HOA;;1788851OAI: oai:DiVA.org:hj-62176DiVA, id: diva2:1788851
Available from: 2023-08-17 Created: 2023-08-17 Last updated: 2023-08-21Bibliographically approved

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Mohlin, Alice

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