Strategies for the development of offshore wind technology for far-east countries – A point of view from patent analysis

Tsai, Yuh-Ren; Yu-fen, Huang; Yang, Jing-Tang

doi:10.1016/j.rser.2016.01.102

Cited by 36 publications

(9 citation statements)

References 15 publications

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“…nano-technology, telecommunications, etc.) (Noh et al, 2016;Joung & Kim, 2017) have employed patent analysis to assess the key developments in innovation and technology in the sectors under investigation (Abraham and Moitra 2001;Encaoua et al, 2006;Alfano et al, 2011;Han and Shin, 2014;Nelson et al, 2014;Tsai et al,2016). Drawing on the current and predicted number of new patents in a given economic sector, managers may better evaluate the technological evolution in the sector.…”

Section: Introductionmentioning

confidence: 99%

Knowledge Push Curve (KPC) in retailing: Evidence from patented innovations analysis affecting retailers' competitiveness

Pantano

Priporas

Stylos

2018

Journal of Retailing and Consumer Services

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Previous studies have demonstrated the extent to which an analysis of patent growth can be used to study the innovation level of a certain industry, national competitiveness in terms of technological innovation, and the inventive capacity in a specific domain etc. In terms of the retail industry, there is a propensity for patenting and an increasing consumer demand for technological innovation. In fact, integrating innovative technologies, including innovative systems for conducting product searches and comparisons, and for paying, are one of the most efficient ways to create value for businesses. Building on a historical series of patents from 1990 to 2015, this paper explores the trends in the sector, analysing the increasing number of patents. Secondly it develops a predictive curve, a technology-push curve (TPC) for making some predictions about the future directions in the retail industry that might affect retailers' competitiveness and subsequent innovation management strategies.

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Section: Introductionmentioning

confidence: 99%

Knowledge Push Curve (KPC) in retailing: Evidence from patented innovations analysis affecting retailers' competitiveness

Pantano

Priporas

Stylos

2018

Journal of Retailing and Consumer Services

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“…It was not surprising that articles had a higher number of publications than any other kind of document because it helps readers to get a broader perspective of the subject matter compared to other primary document types. When making this kind of studies, it is necessary to consider advantages and disadvantages of this wind turbine technology in the different countries, for instance, numerous difficulties had China for the integration of this renewable energy system due to the reduction of winds in the territory [13]. It may result in a hybrid wind and solar generation technology that appeared to be more promising than wind energy technologies that rely solely on onshore or offshore winds [8].…”

Section: Kinds Of Documentsmentioning

confidence: 99%

A bibliometric investigation of wind turbine during 2007-2018

Manotas¹,

Quiñones²,

Ochoa³

2017

ces

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The following paper analyzes with a bibliometric method, the global research behavior of wind turbine during a period from 2007 to 2017. This was made by understanding papers, languages, characteristics of articles, places of origin, journals, and keywords. Nowadays, there are 6028 articles written in different journals for different topics. Every year the number of published articles have increased indicating the high level of importance in the content of this topic. Meanwhile, the country that contributes with the highest density of publications is the USA with 1073, followed by the People from the Republic of China with 941, the UK with 618 and Denmark 453, among other countries. The results can help scientists to understand the characteristics of research results and the search for critical points in the field of wind turbines.

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“…• Monitoring and identification of wind power's trends and technological solutions from patent documents (Lee & Lee, 2013;Tsai et al, 2016;Madvar et al, 2019;Baca et al, 2020);…”

Section: Introductionmentioning

confidence: 99%

Technological patterns in the wind power industry: a study based on patent deposits

Barbastefano

Souza

Lippi

et al. 2021

Prod.

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Paper aims: This paper presents the results of technological analysis on wind energy based on patent documents classified with code F03D -"Wind Motors."Originality: Despite several studies on wind energy, this paper follows a different approach, presenting an overview that brings together technical and market information through social network analysis methods. Research method:The study covered data from 55,223 documents filed in the principal patent offices of the world, obtained from the Derwent Innovations Index. The publications were organized and analyzed through correlation and technology transfer networks.Main findings: General Electric (GE) and European companies have dominated the wind energy industry. However, in the last years, companies from emerging countries are also penetrating and becoming major players. Emphasis can be given to China, which has a deposit pattern detached from the rest of the world. Implications for theory and practice:This study indicates that these companies became important turbine manufacturers and started to invest in developing new technologies and seek patent protection. Companies from emerging countries are new entrants, and their performance is still restricted to few markets compared to traditional companies.

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Strategies for the development of offshore wind technology for far-east countries – A point of view from patent analysis

Cited by 36 publications

References 15 publications

Knowledge Push Curve (KPC) in retailing: Evidence from patented innovations analysis affecting retailers' competitiveness

Knowledge Push Curve (KPC) in retailing: Evidence from patented innovations analysis affecting retailers' competitiveness

A bibliometric investigation of wind turbine during 2007-2018

Technological patterns in the wind power industry: a study based on patent deposits

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