Industry 4.0. Transformation Challenge in Light of Dynamic Capabilities
Kalevi Kyläheiko () and
Päivi Maijanen ()
Additional contact information
Kalevi Kyläheiko: University of Bremen
Päivi Maijanen: LUT University
A chapter in Technical, Economic and Societal Effects of Manufacturing 4.0, 2020, pp 169-189 from Springer
Abstract:
Abstract The manufacturing industry is facing drastic changes brought about by the driving forces of the so-called Industry 4.0 Transformation. The firms that want to sustain their competitive advantage have to transform their resource bases and manufacturing capabilities in a cost efficient way. The companies have to reinvent their business logic by combining their strengths in product design and manufacturing together with existing, or to-be-created new capabilities in evolving digital ecosystems. This article scrutinizes the tools that modern strategic management research can offer to overcome the challenges of organizational renewal. After analyzing different approaches developed in modern strategy research we focus on the dynamic capability view and especially on its micro-foundations and usability in the context of digitalized platform-based ecosystems will be studied. Finally, we will offer some managerial implications.
Keywords: Dynamic capabilities; Reconfiguring; Digital convergence; Adapting to change (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-46103-4_9
Ordering information: This item can be ordered from
http://www.springer.com/9783030461034
DOI: 10.1007/978-3-030-46103-4_9
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().