Google Big Data Trend Index Analysis of Industry 4.0 Technologies: Technology and Key Concept Trends of Global Landscape in 2004–2021

Jari Kaivo-oja; Teemu Santonen; Theresa Lauraeus; Mikkel Stein Knudsen

doi:10.1007/978-3-031-07920-7_15

Google Big Data Trend Index Analysis of Industry 4.0 Technologies: Technology and Key Concept Trends of Global Landscape in 2004–2021

Jari Kaivo-oja^*
, Teemu Santonen
, Theresa Lauraeus
, Mikkel Stein Knudsen

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceeding › Published conference proceeding › Scientific › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Knowledge Management in Organisations - 16th International Conference, KMO 2022, Proceedings
Editors	Lorna Uden, I-Hsien Ting, Birgit Feldmann
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	193-206
Number of pages	14
ISBN (Print)	9783031079191
DOIs	https://doi.org/10.1007/978-3-031-07920-7_15
Publication status	Published - 2022
Externally published	Yes
MoE publication type	A4 Article in a conference publication
Event	16th International Conference on Knowledge Management in Organisations, KMO 2022 - Hagen, Germany Duration: 11 Jul 2022 → 14 Jul 2022

Publication series

Name	Communications in Computer and Information Science
Volume	1593 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	16th International Conference on Knowledge Management in Organisations, KMO 2022
Country/Territory	Germany
City	Hagen
Period	11/07/22 → 14/07/22

Funding

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).

Keywords

Big Data
Global landscape
Google trends
Industry 4.0
Pyramid method of trend and foresight analyses
Trend analysis

Access to Document

10.1007/978-3-031-07920-7_15

Cite this

Kaivo-oja, J., Santonen, T., Lauraeus, T., & Knudsen, M. S. (2022). Google Big Data Trend Index Analysis of Industry 4.0 Technologies: Technology and Key Concept Trends of Global Landscape in 2004–2021. In L. Uden, I.-H. Ting, & B. Feldmann (Eds.), Knowledge Management in Organisations - 16th International Conference, KMO 2022, Proceedings (pp. 193-206). (Communications in Computer and Information Science; Vol. 1593 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-07920-7_15

Kaivo-oja, Jari ; Santonen, Teemu ; Lauraeus, Theresa et al. / Google Big Data Trend Index Analysis of Industry 4.0 Technologies : Technology and Key Concept Trends of Global Landscape in 2004–2021. Knowledge Management in Organisations - 16th International Conference, KMO 2022, Proceedings. editor / Lorna Uden ; I-Hsien Ting ; Birgit Feldmann. Springer Science and Business Media Deutschland GmbH, 2022. pp. 193-206 (Communications in Computer and Information Science).

@inproceedings{43302605cf754db2bfc5f1bfc04130dd,

title = "Google Big Data Trend Index Analysis of Industry 4.0 Technologies: Technology and Key Concept Trends of Global Landscape in 2004–2021",

abstract = "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.",

keywords = "Big Data, Global landscape, Google trends, Industry 4.0, Pyramid method of trend and foresight analyses, Trend analysis",

author = "Jari Kaivo-oja and Teemu Santonen and Theresa Lauraeus and Knudsen, \{Mikkel Stein\}",

note = "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: {\textcopyright} 2022, Springer Nature Switzerland AG.; 16th International Conference on Knowledge Management in Organisations, KMO 2022 ; Conference date: 11-07-2022 Through 14-07-2022",

year = "2022",

doi = "10.1007/978-3-031-07920-7\_15",

language = "English",

isbn = "9783031079191",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "193--206",

editor = "Lorna Uden and I-Hsien Ting and Birgit Feldmann",

booktitle = "Knowledge Management in Organisations - 16th International Conference, KMO 2022, Proceedings",

}

Kaivo-oja, J, Santonen, T, Lauraeus, T & Knudsen, MS 2022, Google Big Data Trend Index Analysis of Industry 4.0 Technologies: Technology and Key Concept Trends of Global Landscape in 2004–2021. in L Uden, I-H Ting & B Feldmann (eds), Knowledge Management in Organisations - 16th International Conference, KMO 2022, Proceedings. Communications in Computer and Information Science, vol. 1593 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 193-206, 16th International Conference on Knowledge Management in Organisations, KMO 2022, Hagen, Germany, 11/07/22. https://doi.org/10.1007/978-3-031-07920-7_15

Google Big Data Trend Index Analysis of Industry 4.0 Technologies: Technology and Key Concept Trends of Global Landscape in 2004–2021. / Kaivo-oja, Jari; Santonen, Teemu; Lauraeus, Theresa et al.
Knowledge Management in Organisations - 16th International Conference, KMO 2022, Proceedings. ed. / Lorna Uden; I-Hsien Ting; Birgit Feldmann. Springer Science and Business Media Deutschland GmbH, 2022. p. 193-206 (Communications in Computer and Information Science; Vol. 1593 CCIS).

Research output: Chapter in Book/Conference proceeding › Published conference proceeding › Scientific › peer-review

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 - https://www.scopus.com/pages/publications/85135031011

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 -

Kaivo-oja J, Santonen T, Lauraeus T, Knudsen MS. Google Big Data Trend Index Analysis of Industry 4.0 Technologies: Technology and Key Concept Trends of Global Landscape in 2004–2021. In Uden L, Ting IH, Feldmann B, editors, Knowledge Management in Organisations - 16th International Conference, KMO 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 193-206. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-07920-7_15

Google Big Data Trend Index Analysis of Industry 4.0 Technologies: Technology and Key Concept Trends of Global Landscape in 2004–2021

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this