Identifying entrepreneurial discovery processes with weak and strong technology signals: a text mining approach [version 2; peer review: 2 approved]
This study aims to propose methods for identifying entrepreneurial discovery processes with weak/strong signals of technological changes and incorporating technology foresight in the design and planning of the Smart Specialization Strategy (S3). For this purpose, we first analyse patent abstracts fr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2022-11-01
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| Series: | Open Research Europe |
| Subjects: | |
| Online Access: | https://open-research-europe.ec.europa.eu/articles/2-26/v2 |
| _version_ | 1811300837860835328 |
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| author | Levan Bzhalava Jari Kaivo-oja Sohaib S. Hassan Wolfgang Dieter Gerstlberger |
| author_facet | Levan Bzhalava Jari Kaivo-oja Sohaib S. Hassan Wolfgang Dieter Gerstlberger |
| author_sort | Levan Bzhalava |
| collection | DOAJ |
| description | This study aims to propose methods for identifying entrepreneurial discovery processes with weak/strong signals of technological changes and incorporating technology foresight in the design and planning of the Smart Specialization Strategy (S3). For this purpose, we first analyse patent abstracts from 2000 to 2009, obtained from the European Patent Office and use a keyword-based text mining approach to collect weak and strong technology signals; the word2vec algorithm is also employed to group weak signal keywords. We then utilize Correlation Explanation (CorEx) topic modelling to link technology weak/strong signals to invention activities for the period 2010-2018 and use the ANOVA statistical method to examine the relationship between technology weak/strong signals and patent values. The results suggest that patents related to weak rather than strong signals are more likely to be high-impact innovations and to serve as a basis for future technological developments. Furthermore, we use latent Dirichlet allocation (LDA) topic modelling to analyse patent activities related to weak/strong technology signals and compute regional topic weights. Finally, we present implications of the research. |
| first_indexed | 2024-04-13T06:58:11Z |
| format | Article |
| id | doaj.art-d4d19165129e40f88dc050f88c680f91 |
| institution | Directory Open Access Journal |
| issn | 2732-5121 |
| language | English |
| last_indexed | 2024-04-13T06:58:11Z |
| publishDate | 2022-11-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | Open Research Europe |
| spelling | doaj.art-d4d19165129e40f88dc050f88c680f912022-12-22T02:57:12ZengF1000 Research LtdOpen Research Europe2732-51212022-11-01216453Identifying entrepreneurial discovery processes with weak and strong technology signals: a text mining approach [version 2; peer review: 2 approved]Levan Bzhalava0https://orcid.org/0000-0002-2890-2706Jari Kaivo-oja1Sohaib S. Hassan2https://orcid.org/0000-0001-5195-4400Wolfgang Dieter Gerstlberger3https://orcid.org/0000-0001-6200-5737Finland Futures Research Centre, Turku School of Economics, University of Turku, Turku, 20500, FinlandFinland Futures Research Centre, Turku School of Economics, University of Turku, Turku, 20500, FinlandSME Management Graduate School, University of Siegen, Siegen, 57072, GermanyDepartment of Business Administration, TalTech School of Business and Governance, Akadeemia tee 3, Tallinn, 12611, EstoniaThis study aims to propose methods for identifying entrepreneurial discovery processes with weak/strong signals of technological changes and incorporating technology foresight in the design and planning of the Smart Specialization Strategy (S3). For this purpose, we first analyse patent abstracts from 2000 to 2009, obtained from the European Patent Office and use a keyword-based text mining approach to collect weak and strong technology signals; the word2vec algorithm is also employed to group weak signal keywords. We then utilize Correlation Explanation (CorEx) topic modelling to link technology weak/strong signals to invention activities for the period 2010-2018 and use the ANOVA statistical method to examine the relationship between technology weak/strong signals and patent values. The results suggest that patents related to weak rather than strong signals are more likely to be high-impact innovations and to serve as a basis for future technological developments. Furthermore, we use latent Dirichlet allocation (LDA) topic modelling to analyse patent activities related to weak/strong technology signals and compute regional topic weights. Finally, we present implications of the research.https://open-research-europe.ec.europa.eu/articles/2-26/v2Smart Specialization Strategy (S3) Entrepreneurial Discovery Process (EDP) technology foresight weak signals innovations patentseng |
| spellingShingle | Levan Bzhalava Jari Kaivo-oja Sohaib S. Hassan Wolfgang Dieter Gerstlberger Identifying entrepreneurial discovery processes with weak and strong technology signals: a text mining approach [version 2; peer review: 2 approved] Open Research Europe Smart Specialization Strategy (S3) Entrepreneurial Discovery Process (EDP) technology foresight weak signals innovations patents eng |
| title | Identifying entrepreneurial discovery processes with weak and strong technology signals: a text mining approach [version 2; peer review: 2 approved] |
| title_full | Identifying entrepreneurial discovery processes with weak and strong technology signals: a text mining approach [version 2; peer review: 2 approved] |
| title_fullStr | Identifying entrepreneurial discovery processes with weak and strong technology signals: a text mining approach [version 2; peer review: 2 approved] |
| title_full_unstemmed | Identifying entrepreneurial discovery processes with weak and strong technology signals: a text mining approach [version 2; peer review: 2 approved] |
| title_short | Identifying entrepreneurial discovery processes with weak and strong technology signals: a text mining approach [version 2; peer review: 2 approved] |
| title_sort | identifying entrepreneurial discovery processes with weak and strong technology signals a text mining approach version 2 peer review 2 approved |
| topic | Smart Specialization Strategy (S3) Entrepreneurial Discovery Process (EDP) technology foresight weak signals innovations patents eng |
| url | https://open-research-europe.ec.europa.eu/articles/2-26/v2 |
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