SpringerBriefs in Entrepreneurship and Innovation

Are Regions Prepared for Industry 4.0?

The Industry 4.0+ Indicator System for Assessment

Authors: Abonyi, János, Czvetkó, Tímea, Honti, Gergely

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  • Provides a regional industry 4.0+ indicator system model based on open data
  • Offers tools to support the evaluation of regional economies
  • Provides territorial councils and investors with a decision-support tool for field investment decisions
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eBook 42,79 €
price for Spain (gross)
  • ISBN 978-3-030-53103-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-030-53102-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

About the authors

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.

Table of contents (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook 42,79 €
price for Spain (gross)
  • ISBN 978-3-030-53103-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-030-53102-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Are Regions Prepared for Industry 4.0?
Book Subtitle
The Industry 4.0+ Indicator System for Assessment
Authors
Series Title
SpringerBriefs in Entrepreneurship and Innovation
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-53103-4
DOI
10.1007/978-3-030-53103-4
Softcover ISBN
978-3-030-53102-7
Series ISSN
2195-5816
Edition Number
1
Number of Pages
VII, 92
Number of Illustrations
31 b/w illustrations
Topics