Are Regions Prepared for Industry 4.0?

The Industry 4.0+ Indicator System for Assessment

Häftad, Engelska, 2020

Av János Abonyi, Tímea Czvetkó, Gergely Marcell Honti, Janos Abonyi, Timea Czvetko

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The concept of industry 4.0 is spreading worldwide and readiness models exist to determine organizational or national maturity. On the other hand, the regional perspective of the digital transformation is yet to be widely researched, although it significantly determines how the concept of industry 4.0 can be introduced to the organisations. This book identifies the regional aspect of industry 4.0 and provides a regional (NUTS 2 classified) industry 4.0 indicator system model that is based on open data sources. This new model serves as a tool to evaluate regional economy to support governmental decisions. It also provides territorial councils with a decision-support tool for field investment decisions. And finally, this model offers investors with a heat map to evaluate regional economies successful implementation of industry 4.0 solutions.

Produktinformation

Utgivningsdatum2020-09-16
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieSpringerBriefs in Entrepreneurship and Innovation
Antal sidor92
FörlagSpringer Nature Switzerland AG
ISBN9783030531027

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Janos Abonyi is Full Professor of Computer Science and Chemical Engineering in the Department of Process Engineering at the University of Pannonia (Hungary). Previously, he was employed at the Control Laboratory of the Delft University of Technology (The Netherlands). Dr. Abonyi has co-authored more than 250 journal papers and chapters in books and has published five research monographs and one Hungarian textbook about data mining. His research interests include complexity, process engineering, quality engineering, data mining, and regional development, and Industry 4.0.Timea Czvetko is a researcher at University of Pannonia (Hungary) with a focus on research and innovation management.Gergely Honti is a PhD candidate at the Department of Process Engineering at University of Pannonia (Hungary) and researcher at Institute of Advanced Studies, Kőszeg (Hungary). He has been working as a Computer Engineer for 5 years and has been involved in cutting edge technology projects, like Siemens Syngo. His research area is big data and data analysis.