TY - GEN
T1 - Google Big Data Trend Index Analysis of Industry 4.0 Technologies
T2 - 16th International Conference on Knowledge Management in Organisations, KMO 2022
AU - Kaivo-oja, Jari
AU - Santonen, Teemu
AU - Lauraeus, Theresa
AU - Knudsen, Mikkel Stein
N1 - SKA INTA RAPPORTERAS (TY-PUBLIKATION)
Funding Information:
Acknowledgments. Authors gratefully acknowledge new technologies financial support from the Research Council of Lithuania (LMTLT) and the European Regional Development Fund implementing the project “Platforms of Big Data Foresight (PLATBIDAFO)” (project No 01.2.2-LMT-K-718-02-0019).
Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - In this article, we analyse Google trends of Industry 4.0 technologies and key concepts. This study provides global landscape analysis of Industry 4.0 technologies and two key concepts, digital transformation and business transformation in years 2004–2021. The study reports key trends of Google Trends database. To understand (1) the importance of key technology trends and (2) interactions of key Industry 4.0 trends, empirical Big Data study reports correlation analysis and ranking analyses of Industry 4.0 technologies for years 2005, 2010, 2015 and 2021. The study covers nine technology domains of Industry 4.0 technologies: Big Data and AI analytics, Horizontal and Vertical Integration, Cloud computing, Augmented and Virtual Reality (AR-VR), Industrial Internet of Things (IIoT), (6) Additive manufacturing/3D/4D printing, Robotics, Autonomous robots or/and collaborative robots, Simulation/digital twins, Cybersecurity and Blockchain technology.
AB - In this article, we analyse Google trends of Industry 4.0 technologies and key concepts. This study provides global landscape analysis of Industry 4.0 technologies and two key concepts, digital transformation and business transformation in years 2004–2021. The study reports key trends of Google Trends database. To understand (1) the importance of key technology trends and (2) interactions of key Industry 4.0 trends, empirical Big Data study reports correlation analysis and ranking analyses of Industry 4.0 technologies for years 2005, 2010, 2015 and 2021. The study covers nine technology domains of Industry 4.0 technologies: Big Data and AI analytics, Horizontal and Vertical Integration, Cloud computing, Augmented and Virtual Reality (AR-VR), Industrial Internet of Things (IIoT), (6) Additive manufacturing/3D/4D printing, Robotics, Autonomous robots or/and collaborative robots, Simulation/digital twins, Cybersecurity and Blockchain technology.
KW - Big Data
KW - Global landscape
KW - Google trends
KW - Industry 4.0
KW - Pyramid method of trend and foresight analyses
KW - Trend analysis
UR - http://www.scopus.com/inward/record.url?scp=85135031011&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-07920-7_15
DO - 10.1007/978-3-031-07920-7_15
M3 - Published conference proceeding
AN - SCOPUS:85135031011
SN - 9783031079191
T3 - Communications in Computer and Information Science
SP - 193
EP - 206
BT - Knowledge Management in Organisations - 16th International Conference, KMO 2022, Proceedings
A2 - Uden, Lorna
A2 - Ting, I-Hsien
A2 - Feldmann, Birgit
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 11 July 2022 through 14 July 2022
ER -