Patent analysis for analysing technological convergence

Karvonen, Matti; Kässi, Tuomo

doi:10.1108/14636681111170202

Cited by 30 publications

(15 citation statements)

References 23 publications

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“…In addition, patent documents are classified in accordance with the International Patent Classification (IPC) system, which represents a searchable collection of patents grouped together according to similarly claimed subject matter. Thus, many researchers have employed the system to analyze the technology convergence phenomenon [ 60 – 64 ]. In particular, IPC codes have been recognized as technological fields and utilized to measure the degree of technological positions [ 65 ].…”

Section: Methodsmentioning

confidence: 99%

Understanding the Dynamic Convergence Phenomenon from the Perspective of Diversity and Persistence: A Cross-Sector Comparative Analysis between the United States and South Korea

et al. 2016

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This study was designed to improve the explanation for the behavior of the phenomenon of technology convergence. The concepts and measurements of diversity and persistence, as inherent attributes of the phenomenon, were elaborated by reviewing different theories. Diversity was examined by analyzing the degree of capability to absorb heterogeneous technologies, while persistence was investigated by analyzing the degree of continuity in the usage of cumulated technologies. With these two dimensions, an analytic framework was proposed to compare the differences and dynamic patterns of convergence competence by countries at the technology sector level. Three major technology sectors in the United States and South Korea, namely, information and communication technology, biotechnology, and nanotechnology, were explored to explicitly illustrate the differences in technology convergence competence. The results show that although Korea has narrowed the differences of capabilities for technology convergence compared to the US, Korea not only has to continuously pursue the improvement of specialization for all three sectors, but also has to encourage the exploitation of different technology fields. The suggested framework and indicators allow for monitoring of the dynamic patterns of a technology sector and identifying the sources of the gaps. Thus, the framework and indicators are able to ensure the purpose of government innovation policy and to provide strategic directions for redistributing the proper combination of sources to accomplish technology convergence.

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Section: Methodsmentioning

confidence: 99%

Understanding the Dynamic Convergence Phenomenon from the Perspective of Diversity and Persistence: A Cross-Sector Comparative Analysis between the United States and South Korea

et al. 2016

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“…Indeed, since creating and filing a patent entail costs, to be patented inventions must be viewed as potentially useful for future products, and therefore patents can be used for tracking technologies that were considered important by organizations employing the patent inventors. Following this logic, the growing amount of technology management literature analyzes patents to understand technological trends (e.g., Joung and Kim, 2017;Karvonen and Kässi, 2011). However, not all patents are eventually used in products, and therefore understanding the industry evolution in terms of technologies that found real applications requires another data source, such as press releases of new product launches.…”

Section: Analysis Of Web-based Qualitative Datamentioning

confidence: 99%

Technology and value network evolution in telehealth

Vesselkov

Hämmáinen

Töyli

2018

Technological Forecasting and Social Change

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Vesselkov, Hämmäinen, and Töyli formed the idea, constructed models and scenarios. Vesselkov conducted the interviews and wrote the paper. Hämmäinen and Töyli edited the text.Publication IV: "Design and governance of mHealth data sharing" Vesselkov formed the idea, collected the data, conducted interviews and wrote the paper. Hämmäinen and Töyli provided comments on the analysis and edited the text.Publication V: "Internet of things (IoT) platform competition: consumer switching versus provider multihoming" Basaure and Vesselkov formed the idea. Basaure designed the model, run the simulations, and wrote most of the paper. Vesselkov supported the modeling, wrote Sections 2.5 and 2.6, commented other sections, and edited the text. Töyli provided comments on the analysis and edited the text. Publication VI: "Technology and Value Network Evolution in Telehealth"Vesselkov, Hämmäinen, and Töyli formed the idea. Vesselkov collected the data and wrote the paper. Hämmäinen and Töyli provided comments on the analysis and edited the text. RQ1. How do mobile IoT usage patterns differ from consumer devices and across industries?RQ2. How could embedded SIM technology affect the mobile ecosystem? RQ3. How could collaboration and competition be governed in emerging consumer IoT data platforms and particularly mobile health data platforms? RQ4. How could mobile platform providers acting as mobile health data platform providers position themselves in the ecosystem of the healthcare industry?

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“…기술융합은 '서로 각기 다른 기술이나 산업에서 서로 다른 두 개 이상의 분야가 시간의 흐름에 따라 경계가 흐려지게 되거나 새로운 분야로 병합되는 현상'을 의미한다 (Curran and Leker, 2011;Karvonen and Kässi, 2011;Geum et al, 2012). 기술융합을 측정하기 위한 정량적인 연구들은 기술개발 산출물인 특허를 대 상으로 특허클래스 동시분류분석이 주로 수행되었다.…”

Section: 특허 동시분류 분석unclassified

Predicting the Technological Convergence between Manufacturing and Service based on SVM-based Link Prediction

Seo¹,

Lee²

2018

JKIIE

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This study analyzes the recent accelerating convergence phenomenon of manufacturing-service and then predicts future convergence directions. First, we analyze the convergence structure by constructing manufacturing-service technology convergence network through co-classification analysis of IPC patent class. Second, we predict the future convergence relation using SVM-based link prediction. Two types of input variables are used to develop prediction models: network-based variables such as Common neighbors, Jaccard coefficient and Adamic-Adar coefficient and citation-based variables such as co-citation and bibliographic coupling. The proposed approach is expected to be fruitfully utilized for technology planning and policy making to promote technology convergence. †

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Patent analysis for analysing technological convergence

Cited by 30 publications

References 23 publications

Understanding the Dynamic Convergence Phenomenon from the Perspective of Diversity and Persistence: A Cross-Sector Comparative Analysis between the United States and South Korea

Understanding the Dynamic Convergence Phenomenon from the Perspective of Diversity and Persistence: A Cross-Sector Comparative Analysis between the United States and South Korea

Technology and value network evolution in telehealth

Predicting the Technological Convergence between Manufacturing and Service based on SVM-based Link Prediction

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