Knowledge domains of global ICT companies

Topic modeling of patent data

Arho Suominen, Hannes Toivanen

Research output: Contribution to conferenceConference articleScientific

Abstract

The increased complexity of technologies has changed the dynamics of innovation in that there is an increased need for cross-disciplinary activities. Studies have shown that technologically diverse knowledge systems are a dominant feature in companies, as multiple fields of knowledge are integrated in the innovation process. The breadth and depth of knowledge in companies is in parts visible outside the company in codified information such as patents, where patent classifications provide a tool for analyses. In this study, we explore the latent knowledge dimensions of patents in global ICT companies with Topic Modeling. We focus on 1) can we identify topical knowledge foci of different companies and 2) if so, what are the dynamics of knowledge domains among the companies? We selected nine globally operating ICT companies, seen in Table 2, for which we extracted patent data from PATSTAT.
Original languageEnglish
Publication statusPublished - 2013
MoE publication typeNot Eligible
Event5th Biennial Atlanta Conference on Science and Innovation Policy - Atlanta, United States
Duration: 26 Sep 201328 Sep 2013
Conference number: 5

Conference

Conference5th Biennial Atlanta Conference on Science and Innovation Policy
CountryUnited States
CityAtlanta
Period26/09/1328/09/13

Fingerprint

Patent data
Domain knowledge
Modeling
Patents
Knowledge system
Innovation process
Innovation
Integrated

Keywords

  • topic modeling
  • ICT
  • knowledge domains

Cite this

Suominen, A., & Toivanen, H. (2013). Knowledge domains of global ICT companies: Topic modeling of patent data. Paper presented at 5th Biennial Atlanta Conference on Science and Innovation Policy, Atlanta, United States.
Suominen, Arho ; Toivanen, Hannes. / Knowledge domains of global ICT companies : Topic modeling of patent data. Paper presented at 5th Biennial Atlanta Conference on Science and Innovation Policy, Atlanta, United States.
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abstract = "The increased complexity of technologies has changed the dynamics of innovation in that there is an increased need for cross-disciplinary activities. Studies have shown that technologically diverse knowledge systems are a dominant feature in companies, as multiple fields of knowledge are integrated in the innovation process. The breadth and depth of knowledge in companies is in parts visible outside the company in codified information such as patents, where patent classifications provide a tool for analyses. In this study, we explore the latent knowledge dimensions of patents in global ICT companies with Topic Modeling. We focus on 1) can we identify topical knowledge foci of different companies and 2) if so, what are the dynamics of knowledge domains among the companies? We selected nine globally operating ICT companies, seen in Table 2, for which we extracted patent data from PATSTAT.",
keywords = "topic modeling, ICT, knowledge domains",
author = "Arho Suominen and Hannes Toivanen",
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Suominen, A & Toivanen, H 2013, 'Knowledge domains of global ICT companies: Topic modeling of patent data' Paper presented at 5th Biennial Atlanta Conference on Science and Innovation Policy, Atlanta, United States, 26/09/13 - 28/09/13, .

Knowledge domains of global ICT companies : Topic modeling of patent data. / Suominen, Arho; Toivanen, Hannes.

2013. Paper presented at 5th Biennial Atlanta Conference on Science and Innovation Policy, Atlanta, United States.

Research output: Contribution to conferenceConference articleScientific

TY - CONF

T1 - Knowledge domains of global ICT companies

T2 - Topic modeling of patent data

AU - Suominen, Arho

AU - Toivanen, Hannes

N1 - Project code: 75913

PY - 2013

Y1 - 2013

N2 - The increased complexity of technologies has changed the dynamics of innovation in that there is an increased need for cross-disciplinary activities. Studies have shown that technologically diverse knowledge systems are a dominant feature in companies, as multiple fields of knowledge are integrated in the innovation process. The breadth and depth of knowledge in companies is in parts visible outside the company in codified information such as patents, where patent classifications provide a tool for analyses. In this study, we explore the latent knowledge dimensions of patents in global ICT companies with Topic Modeling. We focus on 1) can we identify topical knowledge foci of different companies and 2) if so, what are the dynamics of knowledge domains among the companies? We selected nine globally operating ICT companies, seen in Table 2, for which we extracted patent data from PATSTAT.

AB - The increased complexity of technologies has changed the dynamics of innovation in that there is an increased need for cross-disciplinary activities. Studies have shown that technologically diverse knowledge systems are a dominant feature in companies, as multiple fields of knowledge are integrated in the innovation process. The breadth and depth of knowledge in companies is in parts visible outside the company in codified information such as patents, where patent classifications provide a tool for analyses. In this study, we explore the latent knowledge dimensions of patents in global ICT companies with Topic Modeling. We focus on 1) can we identify topical knowledge foci of different companies and 2) if so, what are the dynamics of knowledge domains among the companies? We selected nine globally operating ICT companies, seen in Table 2, for which we extracted patent data from PATSTAT.

KW - topic modeling

KW - ICT

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M3 - Conference article

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Suominen A, Toivanen H. Knowledge domains of global ICT companies: Topic modeling of patent data. 2013. Paper presented at 5th Biennial Atlanta Conference on Science and Innovation Policy, Atlanta, United States.