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Identifying scenarios for ambidextrous learning in a decoupling thinking context
Jönköping University, School of Engineering, JTH, Industrial Engineering and Management.ORCID iD: 0000-0002-8993-4306
Jönköping University, School of Engineering, JTH, Industrial Engineering and Management.ORCID iD: 0000-0003-2252-5337
2017 (English)In: Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing. APMS 2017 / [ed] Lödding H., Riedel R., Thoben KD., von Cieminski G., Kiritsis D., Springer, 2017, 320-327 p.Chapter in book (Refereed)
Abstract [en]

The human perspective and the flow perspective of businesses represent two areas of competence that study similar systems but with different frame of references. The human perspective involves ambidextrous learning that concerns how knowledge is developed and used for different purposes by individuals or groups of individuals. The development of knowledge for new situations is referred to as ‘exploration’, while ‘exploitation’ refers to execution in known and stable contexts. Furthermore, decoupling thinking is important from a flow perspective and concerns how a value-delivery package is created. This type of thinking decouples the flow perspective into segments with different characteristics that are significant for process management. The examples presented in this paper are distinctive drivers of flow in terms of speculation or commitment, and the level of customisation. By combining these two perspectives, a set of 15 scenarios is identified for further research on ambidextrous learning in a decoupling thinking context.

Place, publisher, year, edition, pages
Springer, 2017. 320-327 p.
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238, E-ISSN 1868-422X ; 514
Keyword [en]
Organisational ambidexterity, Learning, Efficiency, Effectiveness, Decoupling points, Customisation, Customer order decoupling point (CODP)
National Category
Information Systems, Social aspects Computer and Information Science Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-37347DOI: 10.1007/978-3-319-66926-7_37Scopus ID: 2-s2.0-85029444119ISBN: 978-3-319-66925-0 (print)ISBN: 978-3-319-66926-7 (electronic)OAI: oai:DiVA.org:hj-37347DiVA: diva2:1142791
Conference
IFIP WG 5.7 International Conference, APMS 2017, Hamburg, September 3-7, 2017.
Available from: 2017-09-20 Created: 2017-09-20 Last updated: 2017-11-22Bibliographically approved

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CiteExportLink to record
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Citation style
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