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>

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.

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.

Analyzing Technological Knowledge Diffusion Among Technological Fields Using Patent Data: The Example of Microfluidics

2017 ◽  
Vol 14 (01) ◽  
pp. 1740004
Author(s):  
Qiao Zheng ◽  
Lu-Cheng Huang ◽  
Fei-Fei Wu ◽  
Wu Dan ◽  
Zhang Hui
Keyword(s):  
Citation Network ◽  
Knowledge Diffusion ◽  
Research Area ◽  
Technological Knowledge ◽  
Patent Citation ◽  
Patent Data ◽  
Diffusion Type ◽  
Modified Method ◽  
Technological Field ◽  
Patent Citation Network

Study of technological knowledge diffusion can provide a basis for R&D planners to invest new R&D projects with a proper direction. In this paper, we introduce a modified method to analyze the diffusion degree of technological knowledge among different technological fields using patent data at the technology patent class level. This method first generates a patent citation network related to a specific research area and then establishes a technological field diffusion matrix according to the concordance between the patent document and the corresponding patent class. After that indicators are set up to measure the diffusion degree of technological field from two aspects of diffusion depth and breadth and then we discern the diffusion type of typical fields. Finally, we conduct microfluidic technology as a case study to prove the feasibility of the method.

EMNC technological knowledge flow patterns: an overview of the US patents granted

2019 ◽  
Vol 28 (1) ◽  
pp. 129-155
Author(s):  
Feng Zhang
Keyword(s):  
Flow Patterns ◽  
Technological Knowledge ◽  
Knowledge Flows ◽  
Knowledge Generation ◽  
Knowledge Flow ◽  
Industrialized Countries ◽  
Content Type ◽  
Technological Competence ◽  
The Us ◽  
Internal Knowledge

Purpose With considerable attention paid to the motives and process of idiosyncratic internationalization trajectory of multinationals from emerging economies (EMNCs), little is known on whether, and if so how, new competitive advantages of EMNCs are created and accumulated over time. MNC and EMNC literature agrees on the importance of external and internal knowledge linkages in technological competence creation. By building upon this framework, this paper aims to evaluate EMNCs’ external and internal knowledge flow patterns by benchmarking their counterparts from mature industrialized countries (MMNCs). Design/methodology/approach This study analyzes US patents granted between 2000 and 2014 to leading innovation-oriented EMNCs from China and India, and their matched MMNCs. Being the first to use the US patent and citation data in studying leading innovation-oriented EMNCs, the authors use a descriptive statistical method. Findings The findings offer empirical insights of the scale, scope and quality of EMNC technological competence creation. Moreover, in contrast to existing EMNC literature, it is found that EMNC parents have been the most important center of EMNC technological knowledge generation. The matched group comparisons of external and internal knowledge flows further reveal detailed similarities and differences of competence creation between EMNCs and MMNCs, and among EMNCs. Originality/value This study represents one of the first attempts to investigate the post-internationalization technological competence creation of EMNCs by using a novel data source. This study sets the foundation to deepen the understanding of EMNC technological competence creation. The findings suggest interesting propositions and offer important implications for future researches.

scholarly journals Geographical Proximity Paradox Revisited: The Case of IT Service SMEs in Poland

2019 ◽  
Vol 11 (20) ◽  
pp. 5770 ◽  
Author(s):  
Micek
Keyword(s):  
Service Sector ◽  
Spatial Scales ◽  
Technological Knowledge ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Computer Assisted ◽  
Geographical Proximity ◽  
Global Knowledge ◽  
It Service ◽  
Local Buzz

Knowledge flow is among the most crucial social processes triggering innovation and regional development. Intercompany knowledge flow among Polish information technology (IT) service small- and medium-sized enterprises (SMEs) is studied in this paper. The main aim is to identify market and technological knowledge flow channels and their spatial scales. Based on information derived from computer-assisted telephone interviews (CATIs), in-depth interviews (IDIs) and data analysis (correspondence analysis and comparative study of spatial structures of knowledge flows), the geographical proximity paradox is tested. It is argued there is a need to move beyond the local buzz–global pipeline dichotomy. Knowledge is acquired at various spatial scales, which enhances the sustainability of the knowledge acquisition process and makes companies, regions and cities more resilient. The multiscalarity of knowledge flows is the most remarkable in the case of private contacts with colleagues from schools or previous workplaces. Spatially diversified study and job experiences of entrepreneurs goes along with return migration. In earlier Central and Eastern European studies, knowledge flow was often defined by the dominance of national (domestic) flow over weak global interactions. Trade relations, especially those occurring on an international scale, represent the most important channel of market and technological knowledge flow for the surveyed companies. The second most important channel is the employment of specialists, which is by far the most frequent and most important on an interregional scale. Due to the small size of surveyed companies, foreign specialists are used least frequently. Instead of using regional business events as a vehicle for knowledge flow, representatives of the IT service sector prefer to attend domestic meetings. In the case of Polish IT service SMEs, the paradox of geographical proximity is better described by the dominance of national over global knowledge flow.

Simulation and Relationship Strength: Characteristics of Knowledge Flows Among Subjects in a Regional Innovation System

2021 ◽  
pp. 097172182110204
Author(s):  
Yi Su ◽  
Xuesong Jiang ◽  
Zhouzhou Lin
Keyword(s):  
Innovation System ◽  
Small World ◽  
Coupled System ◽  
Mean Value ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Regional Innovation System ◽  
Regional Innovation ◽  
Relationship Strength ◽  
Loosely Coupled

A small-world simulation model of a regional innovation system combining the strength of the intersubject relationship of the regional innovation system with the loosely coupled system is constructed. We use a simulation to observe knowledge flow within the regional innovation system under relationships of varying strength. The results show that when the relationship between the subjects of the regional innovation system reaches a certain strength, the system will exhibit high module independence and high network integrity, forming a loosely coupled system. The knowledge flow in the system exhibits the emergence of a fast flow rate, a high mean value and little variance. When relationship strength is at other levels, the emergence of knowledge cannot be identified.

Beyond the Body of Knowledge: A Knowledge-Flow Approach to Project Management Theory and Practice

2003 ◽  
Vol 34 (2) ◽  
pp. 4-12 ◽  
Author(s):  
Keith F. Snider ◽  
Mark E. Nissen
Keyword(s):  
Project Management ◽  
Tacit Knowledge ◽  
Knowledge Flows ◽  
The Body ◽  
Theory And Practice ◽  
Management Theory ◽  
Knowledge Flow ◽  
Project Organization ◽  
Body Of Knowledge ◽  
Management Of Project

Much of the theory associated with project management is explicitly organized according to taxonomic bodies of knowledge (BOK). Although such BOK are conceptually simple and easily disseminated, their generally static and explicit nature is out of phase with the dynamics of critical, tacit knowledge as it flows through the project organization. In this paper, we argue for a more descriptive view of project management theory, one that captures the dynamics of knowledge flows, addresses tacit knowledge and provides new insight into interrelationships between the management of project knowledge and the management of project activities in the enterprise. Introducing a multidimensional model of knowledge flow to describe project management theory, we instantiate this model with a project example from the domain of software development.

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