scholarly journals The measurement and analysis of technological innovation diffusion in China's manufacturing industry

2021 ◽  
Vol 3 (4) ◽  
pp. 452-471
Author(s):  
Mengxin Wang ◽  
◽  
Lang Li ◽  
Hanyong Lan ◽  
◽  
...  
Keyword(s):  
Innovation Diffusion ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
Development Trend ◽  
Sample Period ◽  
Entropy Weight ◽  
Electrical Machinery ◽  
Equipment Manufacturing ◽  
Technological Innovation Diffusion ◽  
The Impact

<abstract> <p>By constructing a technological innovation diffusion (TID) index system of the manufacturing industry with 15 indexes from four dimensions of diffusion source, diffusion path, diffusion receiver, and diffusion environment, this paper measures the TID in the manufacturing industry and analyzes its distribution characteristics from the perspective of industry and region from 2005 to 2018 by using the entropy weight method and the dynamic multi-indicator projection pursuit (PP-IPM) method. The results show that the TID in China's manufacturing industry has a good development trend in the sample period, and the diffusion resources and paths have a relatively greater impact on TID; the absorptive capacity of the receiver also has a significant impact, while the impact of the diffusion environment is relatively small. During the sample period, at the sector level, a pattern has formed in which transportation equipment manufacturing, electrical machinery and equipment manufacturing, and communication equipment, computer and electronic equipment manufacturing are the sources of diffusion, gradually spreading to other sectors according to the degree of industrial relevance. At the regional level, the diffusion pattern is that Guangdong, Jiangsu, Zhejiang, Shandong, Beijing, and Shanghai are the sources and diffuse to the surrounding and central and western regions successively.</p> </abstract>

Firm heterogeneity and innovation diffusion performance: absorptive capacities

2019 ◽  
Vol 58 (4) ◽  
pp. 725-742 ◽  
Author(s):  
Hongying Wang ◽  
Bing Sun
Keyword(s):  
Innovation Diffusion ◽  
Technological Innovation ◽  
Absorptive Capacity ◽  
Technology Diffusion ◽  
Structural Equation ◽  
Firm Heterogeneity ◽  
Content Type ◽  
Technological Innovation Diffusion ◽  
The Impact ◽  
Positive Effect

Purpose The purpose of this paper is to undertake research on the relationship of firm heterogeneity and innovation diffusion performance, and the role of absorptive capacity in this relationship. Design/methodology/approach Based on the diffusion of innovation theory, enterprise heterogeneity directly affects the evaluation stage (considering whether to adopt it) and the experimental stage (observing whether it is suitable for one’s own situation) of the diffusion process. Therefore, the paper uses a structural equation model to construct the influencing factors model of enterprise heterogeneity on technology diffusion. Furthermore, questionnaires were distributed to 236 enterprises with different scales, nature and location to explore the impact of heterogeneity on technology diffusion with scientific, objective and comprehensive data. Findings Firm heterogeneity has a positive effect on absorptive capacity and absorptive capacity has a positive effect on technological innovation diffusion performance. Thus, absorptive capacity plays an intermediary role in the effect on enterprise heterogeneity and technological innovation diffusion performance. More interestingly, the authors get some results that are not entirely consistent with the theoretical assumptions. Practical implications Firm heterogeneity plays a central role in the process of innovation diffusion. Enterprises should build internal management platforms to enhance cooperation among employees, and establish links with other enterprises for opportunities for win-win cooperation. In addition, enterprises should control the frequency of internal activities, which will undermine the enthusiasm of enterprise members to participate in technology sharing. Originality/value This paper explores the interaction between technology potential, cooperation frequency and absorptive capacity from the perspective of systems theory. The findings enrich the theory of innovation diffusion, and explore the inherent reasons why enterprise heterogeneity affects innovation diffusion. Furthermore, the theory that intra-firm cooperation promotes innovation diffusion is not always correct.

scholarly journals An Empirical Study on the Impact of Knowledge Intensive Business Service on Technology Innovation of Equipment Manufacturing Industry

2021 ◽  
Vol 257 ◽  
pp. 02032
Author(s):  
Xiaonan Fan ◽  
Jialun Li
Keyword(s):  
Technological Innovation ◽  
Manufacturing Industry ◽  
Liaoning Province ◽  
Business Service ◽  
Diffusion Of Knowledge ◽  
Equipment Manufacturing ◽  
Equipment Manufacturing Industry ◽  
Knowledge Intensive ◽  
Knowledge Intensive Business Service ◽  
The Impact

The knowledge intensive business service has obvious technological innovation effects. It can promote the technological innovation of the equipment manufacturing industry and enhance the innovation capability of the equipment manufacturing industry through the integration and diffusion of knowledge, technology, human resources and other resources. Taking the equipment manufacturing industry and knowledge intensive business service in Liaoning Province of China as the research objects, this paper analyzes the mechanism of knowledge intensive business service in promoting equipment manufacturing innovation, and constructs a model of the impact of knowledge intensive business service on the innovation of equipment manufacturing industry.

scholarly journals Macro Patterns and Trends of U.S. Consumer Technological Innovation Diffusion Rates

Systems ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 16
Author(s):  
Albert Joseph Parvin ◽  
Mario G. Beruvides
Keyword(s):  
Innovation Diffusion ◽  
Technological Innovation ◽  
Research Effort ◽  
Decision Makers ◽  
Macro Level ◽  
Technological Innovations ◽  
Exploratory Data ◽  
Diffusion Rates ◽  
Technological Innovation Diffusion ◽  
Aid Decision

Macro-level trends and patterns are commonly used in business, science, finance, and engineering to provide insights and estimates to assist decision-makers. In this research effort, macro-level trends and patterns were explored on the diffusion rates of technological innovations, a component of a sorely under-studied question in technology assessment: When should a technological innovation be abandoned? A quantitative exploratory data analysis (EDA)-based approach was employed to examine diffusion market data of 42 U.S. consumer technological innovations from the early 1900s to the 2010s to extract general macro-level knowledge on technological innovation diffusion rates. A goal of this effort is to grow diffusion rate knowledge to enable the development of general macro-based forecasting tools. Such tools would aid decision-makers in making informed and proactive decisions on when to abandon a technological innovation. This research offers several significant contributions to the macro-level understanding of the boundaries and likelihood of achieving a range of technological innovation diffusion rates. These contributions include the determination that the frequency of diffusion rates are positively skewed when ordered from slowest to fastest, and the identification and ranking of probability density functions that best represent the rates of technological innovation diffusion.

The Effect of Technological Innovation and Market Size on Manufacturing Structure: Evidence from the World’s Largest Tobacco Producer and Seller

2021 ◽  
Vol 7 (5) ◽  
pp. 2422-2444
Author(s):  
Song Teng ◽  
Liu Yuxin
Keyword(s):  
Technological Innovation ◽  
Manufacturing Industry ◽  
Tobacco Industry ◽  
Industrial Structure ◽  
Rapid Development ◽  
Market Size ◽  
Chinese Government ◽  
Explanatory Variables ◽  
Industrial Sectors ◽  
The Impact

Objectives: As the world’s largest tobacco producer and seller, China’s rapid development of the tobacco industry is inextricably linked to the promotion and support of the manufacturing industry. The optimization and adjustment of the manufacturing structure (MS) is critical in determining the competitiveness of the manufacturing industry. This study examines the impact of technological innovation and market size on MS optimization in China using provincial data from 2001 to 2016. We obtain the following main results. First, market size and technological innovation are important drivers in optimizing MS. Technological innovation increases productivity and results in the redistribution of production factors across industrial sectors, altering the industrial structure. The market size facilitates labor division, which boosts productivity. Second, institutional innovation is critical for optimizing MS. It strengthens the impact of technological innovation and market size on MS rationalization. Furthermore, the study’s findings are robust to a variety of estimation techniques, several alternative proxies for core explanatory variables, and a long list of control variables. An important implication of the study’s findings is that the Chinese government should implement effective institutional reforms to accelerate China’s manufacturing industry’s development. China’s tobacco industry, in particular, will achieve higher quality development based on the transformation and upgrading of the overall manufacturing industry.

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