Standard

Tracing the evolution of service robotics: Insights from a topic modeling approach. / Savin, Ivan; Ott, Ingrid; Konop, Chris.
In: Technological Forecasting and Social Change, Vol. 174, 121280, 01.2022.

Research output: Contribution to journal › Article › peer-review

Harvard

Savin, I, Ott, I & Konop, C 2022, 'Tracing the evolution of service robotics: Insights from a topic modeling approach', Technological Forecasting and Social Change, vol. 174, 121280. https://doi.org/10.1016/j.techfore.2021.121280

APA

Savin, I., Ott, I., & Konop, C. (2022). Tracing the evolution of service robotics: Insights from a topic modeling approach. Technological Forecasting and Social Change, 174, [121280]. https://doi.org/10.1016/j.techfore.2021.121280

Vancouver

Savin I, Ott I, Konop C. Tracing the evolution of service robotics: Insights from a topic modeling approach. Technological Forecasting and Social Change. 2022 Jan;174:121280. doi: 10.1016/j.techfore.2021.121280

Author

Savin, Ivan ; Ott, Ingrid ; Konop, Chris. / Tracing the evolution of service robotics: Insights from a topic modeling approach. In: Technological Forecasting and Social Change. 2022 ; Vol. 174.

BibTeX

@article{4f38f6089cf7498d8b296f868ab6c27c,
title = "Tracing the evolution of service robotics: Insights from a topic modeling approach",
keywords = "Knowledge diffusion, Latent dirichlet allocation, Networks, Patents, Topic matching, DECADE, PATENT CITATIONS, KNOWLEDGE, AUTOMATION, FLOWS, POLARIZATION, TECHNOLOGY",
author = "Ivan Savin and Ingrid Ott and Chris Konop",
note = "Funding Information: Financial support from the Helmholtz Association (HIRG-0069) is gratefully acknowledged. Ivan Savin acknowledges support from the Russian Science Foundation [RSF grant number 19-18-00262]. This work has benefited from presentations at workshops in Kiel, Strasbourg, Karlsruhe, the EMAEE conference in Brighton and the EAEPE conference in Bilbao. All remaining shortcomings are our responsibility. Publisher Copyright: {\textcopyright} 2021 The Author(s)",
year = "2022",
month = jan,
doi = "10.1016/j.techfore.2021.121280",
language = "English",
volume = "174",
journal = "Technological Forecasting and Social Change",
issn = "0040-1625",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Tracing the evolution of service robotics: Insights from a topic modeling approach

AU - Savin, Ivan

AU - Ott, Ingrid

AU - Konop, Chris

N1 - Funding Information: Financial support from the Helmholtz Association (HIRG-0069) is gratefully acknowledged. Ivan Savin acknowledges support from the Russian Science Foundation [RSF grant number 19-18-00262]. This work has benefited from presentations at workshops in Kiel, Strasbourg, Karlsruhe, the EMAEE conference in Brighton and the EAEPE conference in Bilbao. All remaining shortcomings are our responsibility. Publisher Copyright: © 2021 The Author(s)

PY - 2022/1

Y1 - 2022/1

KW - Knowledge diffusion

KW - Latent dirichlet allocation

KW - Networks

KW - Patents

KW - Topic matching

KW - DECADE

KW - PATENT CITATIONS

KW - KNOWLEDGE

KW - AUTOMATION

KW - FLOWS

KW - POLARIZATION

KW - TECHNOLOGY

UR - http://www.scopus.com/inward/record.url?scp=85118479584&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000719370700005

UR - https://elibrary.ru/item.asp?id=47522103

U2 - 10.1016/j.techfore.2021.121280

DO - 10.1016/j.techfore.2021.121280

M3 - Article

AN - SCOPUS:85118479584

VL - 174

JO - Technological Forecasting and Social Change

JF - Technological Forecasting and Social Change

SN - 0040-1625

M1 - 121280

ER -

ID: 28886590