Hierarchical main path analysis to identify decompositional multi-knowledge trajectories

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sejun Yoon ◽  
Changbae Mun ◽  
Nagarajan Raghavan ◽  
Dongwook Hwang ◽  
Sohee Kim ◽  
...  
Keyword(s):  
Patent Citation ◽  
Knowledge Flows ◽  
Classification Systems ◽  
Patent Data ◽  
Sequencing Technology ◽  
Content Type ◽  
Patent Classification ◽  
Changing Trends ◽  
Main Path ◽  
Data Driven Approach

Purpose The purpose of this paper is to propose a quantitative method for identifying multiple and hierarchical knowledge trajectories within a specific technological domain (TD). Design/methodology/approach The proposed method as a patent-based data-driven approach is basically based on patent classification systems and patent citation information. Specifically, the method first analyzes hierarchical structure under a specific TD based on patent co-classification and hierarchical relationships between patent classifications. Then, main paths for each sub-TD and overall-TD are generated by knowledge persistence-based main path approach. The all generated main paths at different level are integrated into the hierarchical main paths. Findings This paper conducted an empirical analysis by using Genome sequencing technology. The results show that the proposed method automatically identifies three sub-TDs, which are major functionalities in the TD, and generates the hierarchical main paths. The generated main paths show knowledge flows across different sub-TDs and the changing trends in dominant sub-TD over time. Originality/value To the best of the authors’ knowledge, the proposed method is the first attempt to automatically generate multiple hierarchical main paths using patent data. The generated main paths objectively show not only knowledge trajectories for each sub-TD but also interactive knowledge flows among sub-TDs. Therefore, the method is definitely helpful to reduce manual work for TD decomposition and useful to understand major trajectories for TD.

scholarly journals Analysis of technological knowledge flows in the Basque Country

2019 ◽  
Vol 7 ◽  
pp. 73
Author(s):  
J. Gavilanes-Trapote ◽  
I. Etxeberria-Agiriano ◽  
E. Cilleruelo ◽  
G. Garechana
Keyword(s):  
Basque Country ◽  
Relevant Information ◽  
Technological Knowledge ◽  
Patent Citation ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Illustrative Case ◽  
Patent Data ◽  
Continuous Growth ◽  
Key Indicator

<p>Knowledge flow of technology is important for continuous growth and extension of science. Patent data analysis has facilitated this knowledge acquisition. The available patent information crosses borders, corresponds and interacts with new inventions to give new strength and dimension to the technology. Therefore, the patent citation information functions as a key indicator of the knowledge flow providing relevant information. It can be identified to which extent a region is a relevant technological knowledge generator to other regions. As an illustrative case, we present a study to determine the role played by the Basque Country region as a generator of technological innovation during the period 1991-2011.</p>

ICT R&D and Technology Knowledge Flows in Korea

2018 ◽  
Vol 29 (4) ◽  
pp. 51-69
Author(s):  
Woo-Jin Jung ◽  
Sang-Yong Tom Lee
Keyword(s):  
Technology Development ◽  
Statistical Test ◽  
Patent Citation ◽  
Knowledge Flows ◽  
Patent Data ◽  
Technology Spillover ◽  
Popular Method ◽  
Technology Knowledge ◽  
Important Position ◽  
Better Than

This study measured the R&D outcomes of Korea's firms by analyzing the changes and patterns of technology knowledge flows and tried to see whether the outcomes of ICT R&D were better than those of non-ICT R&D. Using the registered patent data from 2008 and 2009, the authors computed the technology cycle time (TCT) and various centrality indexes with social network analysis (SNA), a popular method in patent citation analyses (PCA). In particular, the authors developed a technology spillover network and industry absorption network for the SNA. Having done these analyses, this study additionally conducted a confirmatory statistical test to compare ICT R&D with non-ICT R&D in terms of their performances. The authors found that Korea's ICT R&D has achieved higher levels of technology development speed, technology spillover and industry absorption when compared to non-ICT segments. The authors were also able to determine which particular ICT R&D is in an important position in terms of technology knowledge flows.

A well-tailored centrality measure for evaluating patents and their citations

2019 ◽  
Vol 75 (4) ◽  
pp. 750-772 ◽  
Author(s):  
Claudia Donato ◽  
Paolo Lo Giudice ◽  
Roberta Marretta ◽  
Domenico Ursino ◽  
Luca Virgili
Keyword(s):  
Design Methodology ◽  
Scientific Paper ◽  
Patent Citation ◽  
Centrality Measures ◽  
Directed Network ◽  
Patent Data ◽  
Content Type ◽  
Centrality Measure ◽  
Paper Citation ◽  
Patent Scope

Purpose The development of innovations in all the research and development (R&D) fields is leading to a huge increase of patent data. Therefore, it is reasonable to foresee that, in the next future, Big Data-centered techniques will be compulsory to fully exploit the potential of this kind of data. In this context, network analysis-based approaches are extremely promising. The purpose of this paper is to provide a contribution to this setting. In fact, the authors propose a well-tailored centrality measure for evaluating patents and their citations. Design/methodology/approach The authors preliminarily introduce a suitable support directed network representing patents and their citations. After this, the authors present the centrality measures, namely, “Naive Patent Degree” and “Refined Patent Degree.’” Then, the authors show why they are well tailored to capture the specificities of the patent scenario and why classical centrality measure fails to fully reach this purpose. Findings The authors present three possible applications of the measures, namely: the computation of a patent “scope” allowing the evaluation of the width and the strength of the influence of a patent on a given R&D field; the computation of a patent lifecycle; and the detection of the so-called “power patents,” i.e., the most relevant patents, and the investigation of the importance, for a patent, to be cited by a power patent. Originality/value None of the approaches proposing the application of centrality measures to patent citation networks consider the main peculiarity of this scenario, i.e., that, if a patent pi cites a patent pj, then the value of pi decreases. So, differently from classical scientific paper citation scenario, in this one performing a citation has a cost for the citing entity. This fact is not considered by all the approaches conceived to investigate paper citations. Nevertheless, this feature represents the core of patent citation scenario. The approach has been explicitly conceived to capture this feature.

A structural analysis approach to identify technology innovation and evolution path: a case of m-payment technology ecosystem

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vimal Kumar ◽  
Kuei-Kuei Lai ◽  
Yu-Hsin Chang ◽  
Priyanka Chand Bhatt ◽  
Fang-Pei Su
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Citation Network ◽  
Patent Citation ◽  
Mobile Payment ◽  
Content Type ◽  
Technology Evolution ◽  
Technological Trajectories ◽  
Main Path ◽  
Patent Citation Network

Purpose The evolution of technology has become the mainstream of the current technological innovation era. Technological change is organized in its unique pattern and a new approach that takes place in a systematic and selective manner. Such change is generally molded with the amalgamation of various factors, namely, economic, social or scientific and technological. This paper aims to focus on identifying technological trajectories in a technological ecosystem with the case of m-payment technology. Design/methodology/approach This study constructs a patent citation network for mobile payment service technology through patent citation data and identifies the main evolution process using the main path analysis of the network. The scope of this study focuses on key innovation using social network analysis and patent citation network, validated using the case of a mobile payment system and analyzing its technological trajectory. Findings Analyzing technology evolution provides a greater insight of the overall technology landscape to the researcher and practitioner. Analyzing the m-payment technology landscape gives three main categories of m-payment systems: the mobile financial transaction system), the payee mobile device payment selection system and e-wallet services. Originality/value The novelty of this research lies in the process of identifying technological evolution using social network and patent citation network analysis. The case of m-payment technology ecosystem is studied quantitatively which is not explored by previous researchers. This research provides a way to develop the main path technology of innovative products or services to identify technology evolution using the case of m-payment landscape.

Knowledge transfer roles of subsidiaries in MNCs’ networks

2019 ◽  
Vol 29 (4) ◽  
pp. 329-346 ◽  
Author(s):  
Cigdem Baskici
Keyword(s):  
Knowledge Transfer ◽  
Single Case ◽  
Research Question ◽  
Hierarchical Structures ◽  
Knowledge Flows ◽  
Consumer Electronics ◽  
Knowledge Network ◽  
Content Type ◽  
Knowledge Based

Purpose Although there have been a considerable number of studies regarding subsidiary role typology in multinationals’ management literature, there appear to be few studies that consider knowledge-based role typology from the network-based perspective. The purpose of this study is to fill this gap and extend the study of Gupta and Govindarajan (1991). Thus, the study focuses on answering the following research question: Do subsidiaries have different roles in terms of knowledge flows within a multinational company (MNC)? Design/methodology/approach This empirical study has been carried out as an explorative single case study. An MNC with 15 foreign subsidiaries headquartered in Turkey, which operated in the manufacturing of household appliances and consumer electronics, has been selected as the case. Knowledge transfer is analyzed in this MNC from the network perspective. Findings Four role typologies are detected for subsidiaries of the MNC: collector transmitter, collector diffuser, converter transmitter and converter diffuser. Research limitations/implications Findings of this study are specific to this case. Testing the findings in a sample consisting of subsidiaries of MNCs producing transnational products may contribute to the generalizability of these roles. Practical implications This study offers potentially important findings for MNC managers to use. First, in this study, knowledge flows' route could be defined within MNCs’ dual network. Second, role typologies could inform MNC managers to design their MNCs’ knowledge network. Originality/value The suggested typologies are expected to more accurately define the roles of subsidiaries within contemporary MNCs which are accepted to be transformed from hierarchical structures to network-based organizations.

scholarly journals Complete Genome Sequence of Pandoraea pnomenusa TF-18, a Multidrug-Resistant Organism Isolated from the Rhizosphere of Rice (Oryza sativa L. subsp. japonica)

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Mihnea R. Mangalea ◽  
Emily K. Luna ◽  
Janet Ziegle ◽  
Christine Chang ◽  
Angela M. Bosco-Lauth ◽  
...  
Keyword(s):  
Single Molecule ◽  
Complete Genome ◽  
Oryza Sativa L ◽  
Gc Content ◽  
Multidrug Resistant ◽  
Selective Medium ◽  
Resistant Organism ◽  
Smrt Sequencing ◽  
Sequencing Technology ◽  
Content Type

Pandoraea pnomenusa strain TF-18 was isolated from the roots of rice seedlings on selective medium containing four classes of antibiotics for isolation of Burkholderia pseudomallei. Using Pacific Biosciences (PacBio) single-molecule real-time (SMRT) sequencing technology, we report here a complete genome of 5,499,432 bases, a GC content of 64.8%, and 4,849 coding sequences.

The hybrid intelligent systems design using grey systems theory

2015 ◽  
Vol 5 (2) ◽  
pp. 194-205 ◽  
Author(s):  
Scarlat Emil ◽  
Virginia Mărăcine
Keyword(s):  
Systems Theory ◽  
Intelligent Systems ◽  
Explicit Knowledge ◽  
Intelligent System ◽  
Grey System Theory ◽  
Knowledge Flows ◽  
Content Type ◽  
Hybrid Intelligent Systems ◽  
Advantages And Disadvantages ◽  
Grey Systems Theory

Purpose – The purpose of this paper is to discuss how tacit and explicit knowledge determine grey knowledge and how these are stimulated through interactions within networks, forming the grey hybrid intelligent systems (HISs). The feedback processes and mechanisms between internal and external knowledge determine the apparition of grey knowledge into an intelligent system (IS). The extension of ISs is determined by the ubiquity of the internet but, in our framework, the grey knowledge flows assure the viability and effectiveness of these systems. Design/methodology/approach – Some characteristics of the Hybrid Intelligent Knowledge Systems are put forward along with a series of models of hybrid computational intelligence architectures. More, relevant examples from the literature related to the hybrid systems architectures are presented, underlying their main advantages and disadvantages. Findings – Due to the lack of a common framework it remains often difficult to compare the various HISs conceptually and evaluate their performance comparatively. Different applications in different areas are needed for establishing the best combinations between models that are designed using grey, fuzzy, neural network, genetic, evolutionist and other methods. But all these systems are knowledge dependent, the main flow that is used in all parts of every kind of system being the knowledge. Grey knowledge is an important part of the real systems and the study of its proprieties using the methods and techniques of grey system theory remains an important direction of the researches. Originality/value – The paper discusses the differences among the three types of knowledge and how they and the grey systems theory can be used in different hybrid architectures.

In search of virtuous learning circles: absorptive capacity and its antecedents in the education sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Regina Lenart-Gansiniec ◽  
Wojciech Czakon ◽  
Massimiliano Matteo Pellegrini
Keyword(s):  
Organizational Learning ◽  
Prior Knowledge ◽  
Absorptive Capacity ◽  
Structural Equation ◽  
Knowledge Flows ◽  
Measurement Scale ◽  
Structured Interviews ◽  
Measurement Scales ◽  
Content Type ◽  
The Impact

Purpose This study aims to identify context-specific antecedents to schools’ absorptive capacity (AC) and to show how those can enact “a virtuous learning circle.” Design/methodology/approach The study uses a mixed method: an exploration based on semi-structured interviews with educational experts; the development of a measurement scale and a partial least squares structural equation modelling to test the impact of the antecedents. Findings The results yielded four empirically-grounded antecedents and their measurement scales, namely, prior knowledge, employees’ skills, educational projects and interactions with the environment (Studies one and two). All antecedents are significantly and positively related to AC processes (study three). Using the organizational learning theory perspective, the results have been interpreted as an AC “virtuous learning circle.” Practical implications With increasing pressures to adapt, a case of which was the COVID-19 pandemic, schools can greatly benefit from absorbing knowledge flows. This suggests the construction a favourable environment for AC. To this end, the individual (employees’ prior knowledge and skills), organizational (educational projects) and institutional level of managerial action (interactions with the environment) can be effective when create a recursive organizational learning circle. In addition, this study offers an expert-validated measurement scale for self-assessment of a school’s specific contingencies, and thus, for planning of punctual interventions to develop AC. Originality/value This study advances the existing body of knowledge management in the educational context by rigorously identifying and validating a scale for measuring the antecedents of AC and developing an interpretive approach to the AC “virtuous circle.”

The impact of intellectual capital and knowledge flows on incremental and radical innovation

2018 ◽  
Vol 10 (2/3) ◽  
pp. 149-170 ◽  
Author(s):  
Duy Quoc Nguyen
Keyword(s):  
Social Capital ◽  
Human Capital ◽  
Intellectual Capital ◽  
Radical Innovation ◽  
Knowledge Flows ◽  
Innovation Performance ◽  
Incremental Innovation ◽  
Content Type ◽  
Radical Innovations ◽  
The Impact

PurposeThe purpose of this paper is to develop a theoretical and empirical exploration of link between organization intellectual capital and knowledge flows with its incremental and radical innovation performance.Design/methodology/approachThis paper adopts relevant literature of social capital and organizational learning to examine the impact of intellectual capital and knowledge flows on incremental and radical innovation based on surveying 95 firms. To test the research hypotheses, regression analysis is used.FindingsResults of the study show that human capital and top-down knowledge flows significantly and positively influence both incremental and radical innovations. Social capital and bottom-up knowledge flows do not have any significant impact on incremental or/and radical innovation. Organizational capital has a positive impact on incremental innovation as expected.Practical implicationsThe results offer several practical implications for business managers to harvest its knowledge bases resident in the firm’s different forms appropriately to make innovation successful. Particularly, knowledge resident in human capital and organizational capital is useful for making incremental innovation. Especially, new knowledge, new skills and new perspectives resident in human capital are crucial important for making radical innovation. Both incremental and radical innovations are positively influenced by dynamic managerial capabilities.Originality/valueThis study contributes to literature by providing new evidence linking organization intellectual capital and knowledge flows with its innovation performance. Especially, the missing link between top-down knowledge flows and radical innovation is empirically examined. Value of this study is that social capital and bottom-up knowledge flows are not universally beneficial for enhancing innovation and their impacts on innovation performance are context dependent and more sophisticated than it is recognized in the literature.

Exploring Technology Evolution Using Patent Classification: A Case of Cochlear Implant Technology Patents

2017 ◽  
Vol 14 (01) ◽  
pp. 1740002 ◽  
Author(s):  
Srigowtham Arunagiri ◽  
Mary Mathew
Keyword(s):  
Cochlear Implant ◽  
Cochlear Implants ◽  
Patent Data ◽  
Technology Evolution ◽  
Medical Products ◽  
Patent Classification ◽  
Analysis Technique ◽  
Dominant Classes ◽  
D Investment ◽  
Over Time

Understanding technology evolution through periodic landscaping is an important stage of strategic planning in R&D management. In fields like that of healthcare, where initial R&D investment is huge and good medical products serve patients better, activities of periodic landscaping become crucial for planning. Approximately 5% of the world’s population has hearing disabilities. Current hearing aid products meet less than 10% of the global needs. Patent data and classifications on cochlear implants from 1977–2010 show the technology evolution in the area of such an implant. We attempt to highlight emergence and disappearance of patent classes over a period of time indicating changes in growth of cochlear implant technologies. Using network analysis technique we explore and capture the technology evolution in patent classes by showing what emerged or disappeared over time. Dominant classes are identified. The sporadic influence of university research in cochlear implants is also discussed.

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