scholarly journals Research on ‘near-zero emission’ technological innovation diffusion based on co-evolutionary game approach

2019 ◽  
Vol 7 (2) ◽  
pp. 23-31 ◽  
Author(s):  
Yuansheng Huang ◽  
Hongwei Wang ◽  
Shijian Liu
Systems ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 16
Author(s):  
Albert Joseph Parvin ◽  
Mario G. Beruvides

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.


2019 ◽  
Vol 58 (4) ◽  
pp. 725-742 ◽  
Author(s):  
Hongying Wang ◽  
Bing Sun

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.


Sign in / Sign up

Export Citation Format

Share Document