A literature review on the state-of-the-art in patent analysis

Abbas, Abdulla; Zhang, Limin; Khan, Samee U.

doi:10.1016/j.wpi.2013.12.006

Cited by 353 publications

(187 citation statements)

References 42 publications

Supporting

Mentioning

166

Contrasting

Unclassified

Order By: Relevance

“…Tym samym efektywna eksploracja stale roz-rastających się zasobów informacji patentowej wymaga rozwijania coraz bardziej wyrafinowanych narzędzi analitycznych (zob. Abbas, Zhang, Khan, 2014). Zjawisku temu towarzyszy także postępująca fragmentaryzacja praw własności intelektualnej przejawiająca się patentowaniem coraz mniejszych komponentów wyrobów finalnych (Di Minin, Faems, 2013).…”

Section: Istota Badań Patentowychunclassified

Patent research in the innovation activity of manufacturing companies in Poland

Wściubiak

2018

Studia I Prace WNEiZ

View full text Add to dashboard Cite

StreszczenieCelem artykułu jest rozpoznanie zakresu wykorzystania badań patentowych przez przedsiębiorstwa produkcyjne w Polsce oraz identyfikacja czynników wpływających na podejmowanie takich działań przez badane przedsiębiorstwa. W opracowaniu wykorzystano materiał empiryczny zebrany w toku badań ankietowych przeprowadzonych na celowo dobranej próbie 48 innowacyjnych przedsiębiorstw produkcyjnych z terenu całej Polski. Zakres czasowy badań obejmował lata 2014-2016. Na podstawie uzyskanych wyników można stwierdzić, że badane przedsiębiorstwa w dość szerokim zakresie korzystają z możliwości eksploracji dostępnych danych patentowych, przede wszystkim dla celów związanych z obserwacją trendów rozwoju technologicznego oraz śledzenia poczynań konkurentów. Poczynione ustalenia wskazują także, że skłonność do podejmowania badań patentowych może być warunkowana takimi czynnikami, jak wielkość firmy, poziom innowacyjności, stopień internacjonalizacji oraz zaangażowanie we współpracę międzyorganizacyjną.Słowa kluczowe: badania patentowe, innowacje, przedsiębiorstwa produkcyjne, własność intelektualna

show abstract

Section: Istota Badań Patentowychunclassified

Patent research in the innovation activity of manufacturing companies in Poland

Wściubiak

2018

Studia I Prace WNEiZ

View full text Add to dashboard Cite

show abstract

“…In addition, this paper needs various criteria and a voluminous data size, and patent data can be the information source of multivariate analysis. Utilizing patent information is appropriate in this research because of overwhelming advantages in extracting new technology opportunities, future trends, and the competitive edge of a firm [38].…”

Section: Datamentioning

confidence: 99%

An Approach for R&D Partner Selection in Alliances between Large Companies, and Small and Medium Enterprises (SMEs): Application of Bayesian Network and Patent Analysis

2016

View full text Add to dashboard Cite

Abstract:The enhanced R&D cooperative efforts between large firms and small and medium-sized enterprises (SMEs) have been emphasized to perform innovation projects and succeed in deploying profitable businesses. In order to promote such win-win alliances, it is necessary to consider the capabilities of large firms and SMEs, respectively. Thus, this paper proposes a new approach of partner selection when a large firm assesses SMEs as potential candidates for R&D collaboration. The first step of the suggested approach is to define the necessary technology for a firm by referring to a structured technology roadmap, which is a useful technique in the partner selection from the perspectives of a large firm. Second, a list of appropriate SME candidates is generated by patent information. Finally, a Bayesian network model is formulated to select an SME as an R&D collaboration partner which fits in the industry and the large firm by utilizing a bibliography with United States patents. This paper applies the proposed approach to the semiconductor industry and selects potential R&D partners for a large firm. This paper will explain how to use the model as a systematic and analytic approach for creating effective partnerships between large firms and SMEs.

show abstract

“…Much patent research and analysis has been conducted to satisfy patent analysis experts, managers of companies, and their various demands [6]. Patent documents include some information about citation, applicant, inventor, International Patent Classification (IPC), and an abstract indicating a detailed description of the invention.…”

Section: Patent Research and Analysismentioning

confidence: 99%

Technology Clusters Exploration for Patent Portfolio through Patent Abstract Analysis

et al. 2016

View full text Add to dashboard Cite

This study explores technology clusters through patent analysis. The aim of exploring technology clusters is to grasp competitors' levels of sustainable research and development (R&D) and establish a sustainable strategy for entering an industry. To achieve this, we first grouped the patent documents with similar technologies by applying affinity propagation (AP) clustering, which is effective while grouping large amounts of data. Next, in order to define the technology clusters, we adopted the term frequency-inverse document frequency (TF-IDF) weight, which lists the terms in order of importance. We collected the patent data of Korean electric car companies from the United States Patent and Trademark Office (USPTO) to verify our proposed methodology. As a result, our proposed methodology presents more detailed information on the Korean electric car industry than previous studies.

show abstract

A literature review on the state-of-the-art in patent analysis

Cited by 353 publications

References 42 publications

Patent research in the innovation activity of manufacturing companies in Poland

Patent research in the innovation activity of manufacturing companies in Poland

An Approach for R&D Partner Selection in Alliances between Large Companies, and Small and Medium Enterprises (SMEs): Application of Bayesian Network and Patent Analysis

Technology Clusters Exploration for Patent Portfolio through Patent Abstract Analysis

Contact Info

Product

Resources

About