Clusters and Industry 4.0 – do they fit together?

Marta Goetz , Barbara Jankowska

Abstract

Industry 4.0 heralds the profound transformation of business models by enabling the fusion of virtual and real worlds and the application of digitization, automatization and robotics in manufacturing. We review the basic premises of Industry 4.0 and map them against the clusters’ features with the aim to establish the kind of relations between these two categories. By exploring the likely impact of clusters on Industry 4.0, our discussion revolves around the broader question of the role of regional ecosystems in industrial transformation. Clusters, thanks to the advantages such as knowledge base and mechanisms, agglomeration economies and externalities (labour pool and critical mass of firms) and favourable more stable, less uncertain environment of trust and cooperation, may facilitate the digital transformation, particularly its phasing-in and testing phases. Notwithstanding this potential, it should be stressed that not all clusters would be able to play such prominent role. Only these equipped with adequate knowledge base and providing some expertise in the field of IT solutions, robotics, automatics, and so on, i.e. the technologies crucial to Industry 4.0 seem predestined to contribute to the emergence of fully fledged industrial internet. Despite seemingly some inconsistency between these two categories, clusters can facilitate the business transformation towards Industry 4.0.
Author Marta Goetz - Akademia Finansów i Biznesu Vistula, MNiSW [80]
Marta Goetz,,
-
, Barbara Jankowska (WGM / KKM)
Barbara Jankowska,,
- Department of International Competitiveness
Journal seriesEuropean Planning Studies, ISSN 0965-4313, (A 25 pkt)
Issue year2017
Vol25
No9
Pages1633-1653
Publication size in sheets1
Keywords in Englishcluster; industry 4.0; knowledge; business transformation
ASJC Classification3305 Geography, Planning and Development
DOIDOI:10.1080/09654313.2017.1327037
URL https://www.tandfonline.com/doi/full/10.1080/09654313.2017.1327037
Languageen angielski
Score (nominal)25
Score sourcejournalList
ScoreMinisterial score = 25.0, 06-04-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2017 = 1.241; WoS Impact Factor: 2017 = 1.863 (2) - 2017=2.157 (5)
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