A text-based monitoring tool for the legitimacy and guidance of technological innovation systems. (August 2021)
- Record Type:
- Journal Article
- Title:
- A text-based monitoring tool for the legitimacy and guidance of technological innovation systems. (August 2021)
- Main Title:
- A text-based monitoring tool for the legitimacy and guidance of technological innovation systems
- Authors:
- Weiss, Daniel
Nemeczek, Fabian - Abstract:
- Abstract: Disruptive technologies have to overcome their liability of newness and transition into their growth phase by achieving compliance with existing institutions and pursuing the most promising development paths. Technological innovation system (TIS) studies examined these two issues of legitimacy and guidance of innovation activities by investigating the public discourse with manual media analyses. However, these approaches are time-consuming, prone to subjectivity biases and limited in scope. Therefore, our paper proposes an automatic text analysis methodology based on unsupervised Latent Dirichlet Allocation (LDA) topic modelling and lexicon-based sentiment analysis. By processing 3423 German newspaper articles from the Nexis Uni database, we cover the development of battery-electric vehicles (BEV) in Germany from 2009 to 2019 and identify five socio-technical aspects. Our results indicate an intact legitimacy for the TIS, with Usability, R&D, and Industry being legitimate aspects, which also exhibit strong or improving guidance. In contrast, the Infrastructure and Policy aspects have been less legitimate and weak in guidance, suggesting the need for more holistic policy measures and infrastructure expansion to establish a mass market. Our proposed methodology adds to the toolbox of methods to analyze TIS and serves as a monitoring tool to reveal contested aspects and periods in the public discourse. Highlights: We identify five socio-technical aspects of batteryAbstract: Disruptive technologies have to overcome their liability of newness and transition into their growth phase by achieving compliance with existing institutions and pursuing the most promising development paths. Technological innovation system (TIS) studies examined these two issues of legitimacy and guidance of innovation activities by investigating the public discourse with manual media analyses. However, these approaches are time-consuming, prone to subjectivity biases and limited in scope. Therefore, our paper proposes an automatic text analysis methodology based on unsupervised Latent Dirichlet Allocation (LDA) topic modelling and lexicon-based sentiment analysis. By processing 3423 German newspaper articles from the Nexis Uni database, we cover the development of battery-electric vehicles (BEV) in Germany from 2009 to 2019 and identify five socio-technical aspects. Our results indicate an intact legitimacy for the TIS, with Usability, R&D, and Industry being legitimate aspects, which also exhibit strong or improving guidance. In contrast, the Infrastructure and Policy aspects have been less legitimate and weak in guidance, suggesting the need for more holistic policy measures and infrastructure expansion to establish a mass market. Our proposed methodology adds to the toolbox of methods to analyze TIS and serves as a monitoring tool to reveal contested aspects and periods in the public discourse. Highlights: We identify five socio-technical aspects of battery electric vehicles. Intact legitimacy for the battery electric vehicle TIS in Germany from 2009 to 2019. The Usability, R&D, and Industry aspects exhibit strong guidance and legitimacy. Weak legitimacy and guidance for the Infrastructure and Policy aspects. The proposed automatic text analysis serves as a flexible monitoring tool. … (more)
- Is Part Of:
- Technology in society. Volume 66(2021)
- Journal:
- Technology in society
- Issue:
- Volume 66(2021)
- Issue Display:
- Volume 66, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 66
- Issue:
- 2021
- Issue Sort Value:
- 2021-0066-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-08
- Subjects:
- Technological innovation systems -- Legitimacy -- Guidance of the search -- Media analysis -- Topic modelling -- Sentiment analysis
Technology -- Social aspects -- Periodicals
303.483 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0160791X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.techsoc.2021.101686 ↗
- Languages:
- English
- ISSNs:
- 0160-791X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8761.023000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18369.xml