scholarly journals Feature and Tendency of Technology Transfer in Z-Park Patent Cooperation Network: From the Perspective of Global Optimal Path

2021 ◽  
Vol 6 (4) ◽  
pp. 111-138
Author(s):  
Jun Guan ◽  
Jingying Xu ◽  
Yu Han ◽  
Dawei Wang ◽  
Lizhi Xing
Keyword(s):  
Technology Transfer ◽  
Technology Diffusion ◽  
Structural Characteristics ◽  
Market Competition ◽  
Optimal Path ◽  
Patent Application ◽  
High Tech ◽  
Innovation Network ◽  
Innovation Activities ◽  
Cooperation Network

Abstract Purpose This study aims to provide a new framework for analyzing the path of technology diffusion in the innovation network at the regional level and industrial level respectively, which is conducive to the integration of innovation resources, the coordinated development of innovative subjects, and the improvement of innovation abilities. Design/methodology/approach Based on the Z-Park patent cooperation data, we establish Inter-Enterprise Technology Transfer Network model and apply the concept of Pivotability to describe the key links of technology diffusion and quantify the importance of innovative partnerships. By measuring the topologically structural characteristics in the levels of branch park and the technosphere, this paper demonstrates how technology spreads and promotes overall innovation activities within the innovation network. Findings The results indicate that: (1) Patent cooperation network of the Z-Park displays heterogeneity and the connections between the innovative subjects distribute extremely uneven. (2) Haidian park owns the highest pivotability in the IETTN model, yet the related inter-enterprise patent cooperation is mainly concentrated in its internal, failing to facilitate the technology diffusion across multiple branch parks. (3) Such fields as “electronics and information” and “advanced manufacturing” are prominent in the cross-technosphere cooperation, while fields such as “new energy” and “environmental protection technology” can better promote industrial integration. Research limitations Only the part of the joint patent application is taken into account while establishing the patent cooperation network. The other factors that influence the mechanism of technology diffusion in the innovation network need to be further studied, such as financial capital, market competition, and personnel mobility, etc. Practical implications The findings of this paper will provide useful information and suggestions for the administration and policy-making of high-tech parks. Originality/value The value of this paper is to build a bridge between the massive amount of patent data and the nature of technology diffusion, and to develop a set of tools to analyze the nonlinear relations between innovative subjects.

scholarly journals Structural Characteristics and Spatial Patterns of the Technology Transfer Network in the Guangdong–Hong Kong–Macao Greater Bay Area

2020 ◽  
Vol 12 (6) ◽  
pp. 2204
Author(s):  
Zhijun Feng ◽  
Hechang Cai ◽  
Wen Zhou
Keyword(s):  
Hong Kong ◽  
Technology Transfer ◽  
Spatial Patterns ◽  
Structural Characteristics ◽  
Urban Agglomeration ◽  
High Tech ◽  
Chinese Government ◽  
Network Node ◽  
Flow Network ◽  
Bay Area

Recently, the Chinese government released the Outline of the Development Plan for the Guangdong–Hong Kong–Macao Greater Bay Area (GBA), raising the development of the GBA urban agglomeration to a national strategy. An efficient technology transfer network is conducive to promoting the integrated and coordinated development and enhancing the scientific and technological innovation capabilities of the GBA urban agglomeration. Therefore, this study uses the patent transaction data for three years (2010, 2014, and 2018), integrates data mining, and uses complex network analysis, based on full-flow and net-flow networks, from the overall characteristics, network node strength, network association, network node importance, and network communities to reveal the structural characteristics and spatial patterns of the technology transfer network in the GBA. The results revealed that: (1) Technology transfer networks (full-flow and net-flow) in the GBA show heterogeneity. (2) Full-flow network presents a clear hierarchy within the GBA, showing a “two poles and two strong” pattern, and technology transfer has the same city preference; outside the GBA, there are close technology transfer regions that have technical and geographical proximity characteristics; the net-flow network presents a “one pole, two strong” pattern, and Guangzhou has become the core region of the net-flow network. (3) Connection objects of the technology transfer network have path dependence and spatial preference. Coexistence of concentration and decentralization characterizes the spatial flow. (4) Spatial distribution of the hub and authority of the technology transfer network is heterogeneous and hierarchical. Each city in the GBA has its own technological advantages. (5) Spatial clustering characteristics of the community within the technology transfer network are obvious. (6) The GBA is dominated by the transfer of patented technology in the high-tech industry, while the transfer of patented technology in the traditional manufacturing industry also plays an important role.

scholarly journals Analysis on the topological structure of Inter-Enterprise technology transfer network: Taking Z-Park as an example

2020 ◽  
Vol 34 (11) ◽  
pp. 2050131
Author(s):  
Lin Lin ◽  
Jingying Xu ◽  
Lizhi Xing ◽  
Jun Guan
Keyword(s):  
Topological Structure ◽  
Patent Application ◽  
High Tech ◽  
Cooperative Network ◽  
Innovation Ecosystem ◽  
Scale Free ◽  
Leading Role ◽  
Enterprise Technology ◽  
Cooperation Network ◽  
Innovation Cooperation

To understand quantitatively how hi-tech enterprise cooperates with others in patent application over time is of great importance, for it affects how cooperative mechanism is organized and technology transferred. In this research, we construct the patent cooperation network IETTN from 2008–2017 in Z-Park to measure the overall structure of the network and the changes of nodes in the network, thus providing a new measurement for the innovation cooperation of high-tech enterprises from the perspective of the network. With the continuous expansion of patent cooperation among high-tech enterprises, enterprises’ roles in the cooperative network and innovation ecosystem are quite different. Through analysis, it can be found that the Z-Park patent cooperation network presents an obvious scale-free feature, and a few large state-owned enterprises and research institutions are playing a leading role in the network.

A GM(1,N)-based economic cybernetics model for the high-tech industries in China

Kybernetes ◽  
2014 ◽  
Vol 43 (5) ◽  
pp. 672-685 ◽  
Author(s):  
Zheng-Xin Wang
Keyword(s):  
Differential Equation ◽  
Patent Application ◽  
Small Sample ◽  
Total Output ◽  
High Tech ◽  
Data Set ◽  
Content Type ◽  
Fixed Assets ◽  
Grey Differential Equation ◽  
Medical Equipments

Purpose – The purpose of this paper is to propose an economic cybernetics model based on the grey differential equation GM(1,N) for China's high-tech industries and provide the necessary support to assist high-tech industries management departments with their policy making. Design/methodology/approach – Based on the principle of grey differential equation GM(1,N), the grey differential equations of five high-tech industries in China are established using the net fixed assets, labor quantity and patent application quantity as cybernetics variables. After the discretization and first-order subtraction reduction to the simultaneous equation of the five grey models, a linear cybernetics model is resulted in. The structure parameters in the cybernetics system show explicit economic significance and can be identified through least square principle. At last, the actual data in 2004-2010 are introduced to empirically analyze the high-tech industrial system in China. Findings – The cybernetics system for China's high-tech industries are stable, observable, and controllable. On the whole, China's high-tech industries show higher output coefficients of the patent application quantity than those of net fixed assets and labor quantity. This suggests that China's industry development mainly depends on technological innovation rather than capital or labor inputs. It is expected that the total output value of China's high-tech industries will grow at an average annual rate of 15 percent in 2011-2015, with contributions of pharmaceuticals, aircraft and spacecraft, electronic and telecommunication equipments, computers and office equipments, medical equipments and meters by 21, 16, 13, 10, and 28 percent, respectively. In addition, pharmaceuticals, as well as medical equipments and meters, present upward proportions in the gross of Chinese high-tech industries significantly. Electronic and telecommunication equipments, plus computers and office equipments exhibit an obvious decreasing proportion. The proportion of the output value of aircraft and spacecraft is basically stable. Practical implications – Empirical analysis results are helpful for related management departments to formulate reasonable industrial policies to keep the sustained and stable development of the high-tech industries in China. Originality/value – Based on the grey differential equation GM(1,N), this research puts forward an economic cybernetics model for the high-tech industries in China. This model is applicable to the economic system with small sample data set.

scholarly journals Determinants of ICT Innovations: Lessons Learned from Sweden and Sri Lanka

2021 ◽  
Vol 11 (4) ◽  
pp. 135
Author(s):  
Chaminda Wijesinghe ◽  
Henrik Hansson ◽  
Love Ekenberg
Keyword(s):  
Technology Transfer ◽  
Sri Lanka ◽  
Developing Country ◽  
Risk Taking ◽  
Lessons Learned ◽  
Living Standards ◽  
Innovation Activities ◽  
Doing Business ◽  
Technology Transfer Offices ◽  
Essential Services

Innovation is critical for enterprises and the country’s economy, and it has resulted in an improvement in living standards. There may be appropriate lessons to learn from other countries, but their adoption must be assessed due to education and living standards variations. This paper aims to build an in-depth understanding of the stimulating factors for ICT innovations from Sweden, and examines their adoption in the context of a developing country, Sri Lanka. ICT innovations significantly impact development in other sectors, as they can ease doing business and other essential services. This study is based on seven interviews, including key people leading innovation activities in Sweden. Then, it critically analyses and presents the application of stimulating factors in Sweden to the context of a developing country, namely Sri Lanka. The results indicate that education and mindset, a risk-taking environment, embracing failures, digitalisation and collaboration are the critical determinants of ICT innovations in Sweden. This research is vital for educational policymakers in universities, technology transfer offices, and governmental policymakers.

Foreign experience in the organization of innovative development of the economy

2021 ◽  
pp. 28-39
Author(s):  
V.A. Shumaev ◽  
N.A. Divueva ◽  
N.A. Lukasheva
Keyword(s):  
United States ◽  
Technology Transfer ◽  
The United States ◽  
High Tech ◽  
Innovative Development ◽  
Asian Countries ◽  
High Tech Industry ◽  
Foreign Experience

The article summarizes the experience of the United States, Germany and Asian countries in creating and organizing the development and functioning of innovative systems, technology transfer, building a high-tech industry, which is advisable to use in Russia.

The Use of Technology in Organizations

2020 ◽  
pp. 54-75
Author(s):  
Jorge Ramirez
Keyword(s):  
Technology Transfer ◽  
Knowledge Transfer ◽  
Multinational Corporations ◽  
Value Added ◽  
Business Environment ◽  
Knowledge Flows ◽  
Local Economy ◽  
High Tech ◽  
Management Skills ◽  
Use Of Technology

Multinational Corporations (MNC) face the challenge of compete in the new interconnected business environment. In particular technology is recognized as a factor that boost productivity and competitiveness and drives the business connectivity which in turn involves cross-borders goods, services and financial flows. MNC is recognized as being possessed of high-tech assets, and also, resources including capital, management skills and R&D capabilities and subsidiaries can get them, from its holding company, and they transfer technology to local businesses. A knowledge transfer, running parallel to the technology transfer take place benefiting to the local economy. Foreign Direct Investment (FDI) is considered as the primary vehicle to facilitate technology transfer (and underlying knowledge flows) toward emerging countries. The ultimate goal of the MNC is related to leverage technology and knowledge transfer in order to maintain a competitive edge and move toward even higher value-added activities.

scholarly journals Host-Country Market Environment, Intra-Firm Technology Transfer Performance and Corporate Sustainability: A Conceptual Study

2016 ◽  
Vol 11 (4) ◽  
pp. 91
Author(s):  
Syed Ali Fazal ◽  
Sazali Abdul Wahab ◽  
Abu Sofian Bin Yaacob ◽  
Nur Fadiah Mohd Zawawi
Keyword(s):  
Technology Transfer ◽  
Multinational Corporations ◽  
Host Country ◽  
Practical Implication ◽  
Market Competition ◽  
Corporate Sustainability ◽  
The Body ◽  
Market Environment ◽  
Transfer Of Technology ◽  
Country Market

<p>Technological innovations have emerged as crucially significant factor for sustaining market competition and achieving sustainable competitive advantage in the 21st century. The Multinational Corporations (MNCs) as celebrities of innovation play significant role in diffusing technological knowledge throughout firms both nationally and internationally. Although numerous studies exist on technology transfer the majority of existing literature addresses the issues related to inter-firm transfer of technology only while the area related to intra-firm transfer of technology has been largely underexposed; study of which is believed to be ideal for fruitful exploration of profitability in technology transfer projects. By exploring the existing relevant literature, the current study would attempt to posit a new model in regards to the effect of host-country market factors on the performance of technology transferred by the MNCs and its subsequent impact on corporate sustainability. In the present study the relative influence of two market environment factors of the host-country, competitive intensity and market dynamism have been focused on and the study is thereby expected to contribute both theoretically in the body of knowledge and also in terms of practical implication for policy makers and MNCs and hence enriching the existing intra-firm literature simultaneously.</p>

Innovation and Exports of Korean Firms: How Do They Differ by Size and Industry?

2019 ◽  
Vol 10 (3) ◽  
pp. 249-271
Author(s):  
Wonkyu Shin ◽  
Sehwan Oh ◽  
Sungho Rho
Keyword(s):  
Global Economy ◽  
Large Scale ◽  
Small And Medium Enterprises ◽  
Market Competition ◽  
Information And Communications Technology ◽  
Firm Level ◽  
Innovation Activities ◽  
Heterogeneous Effects ◽  
Ict Industry ◽  
Medium Enterprises

This article examines some of the distinctive characteristics of South Korean firms in relation to their research and development (R&D) and export activities affecting the efforts to retain intellectual property rights (IPR). In particular, this study shows how firms of different sizes (small and medium enterprises: SMEs vs. large-scale enterprises: LEs) tend to hold the ownership of IPR differently. To test the heterogeneous effects of the firms’ innovative capacity, this study utilizes the firm level data of 6,138 Korean firms during 2006–2014. In the years 2006–2014, South Korea concluded free trade agreements (FTAs) with numerous economies and accelerated its market competition and integration into the global economy. Our empirical results found that R&D activities of both SMEs and LEs were active during the period; however, SMEs in particular took a great stride in their patenting and innovation activities. Findings of our article also show that the more companies engaged in export activities, the more actively patents grew. Furthermore, the companies in the information and communications technology (ICT) industry are more aggressive in patenting activities.

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