The impact of knowledge base on technological innovation of emerging industries from the perspective of related variety: A case study of China’s fuel cell industry

2021 ◽  
Author(s):  
Zefeng Mi ◽  
Yongmin Shang ◽  
Gang Zeng

This chapter looks at the extent to which the semantic-based process mining approach of this book supports the conceptual analysis of the events logs and resultant models. Qualitatively, the chapter leverages the use case study of the research learning process domain to determine how the proposed method support the discovery, monitoring, and enhancement of the real-time processes through the abstraction levels of analysis. Also, the chapter quantitatively assesses the level of accuracy of the classification process to predict behaviours of unobserved instances within the underlying knowledge base. Overall, the work looks at the implications of the semantic-based approach, validation of the classification results, and their influence compared to other existing benchmark techniques/algorithms used for process mining.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Miaomiao Li ◽  
Zhaoxing Hao ◽  
Meng Luan ◽  
Haibo Li ◽  
Guikun Cao

Empirical findings from the impact of innovation investment volatility on enterprise technological innovation are mixed. Based on the punctuated equilibrium theory, this study explores the impact of innovation investment volatility on enterprise technological innovation in different life cycles and whether innovation subsidy has expected effects on enterprises’ technological innovation. By using the 205 Chinese listed enterprises in strategic emerging industries from 2010 to 2019 as the research sample, the results show that the innovation investment volatility has a positive impact on technological innovation of enterprise in the growing stage, while it has no significant effect on enterprise technological innovation in the mature and declining stages. In addition, the negative moderating effect of innovation subsidy on the relationship between innovation investment volatility and technological innovation is the most significant for enterprises in the growing stage, weakly significant for enterprises in the mature stage, and insignificant for enterprises in the declining stage.


2021 ◽  
Vol 292 ◽  
pp. 03009
Author(s):  
Jing Gao ◽  
Qiuhong Feng ◽  
Wanfei Zhan

In the green economy, strategic emerging industries to implement Class II green technological innovation keep critical to obtain competitive advantages. The government regulation could effectively make up for the shortcomings of the negative externalities of green technological innovation. In order to further explore the impact of government regulation on Class I, II and III green technological innovation of strategic emerging industries, this article utilizes the strategic emerging industries as the main experimental subject. Through constructing a tripartite evolutionary game model of strategic emerging industries, the government and consumers, it reveals the process of the three-party discretionary selection in the process of green technology innovation, and acquires equilibrium strategies of the tripartite in the process of green technological innovation.


2017 ◽  
Vol 4 (2) ◽  
pp. 130
Author(s):  
John Soltau ◽  
Ryan Lunsford

Two major forces continue to drive disruption in the utility space; technological innovation in the form of distributive energy resources (DER), and energy efficiency/demand response (EE/DR). These forces drive down demand which, in turn, directly leads to decreased revenues for utility companies. As a result, the utility responds by seeking higher rates, which decreases demand and increases economic incentive for DER and EE/DR (Kind, 2013). These two disruptions continue their influence as these increased rates lead to lower customer satisfaction levels, incentivizing the adoption of additional DER and EE/DR products, perpetuating the cycle. As a municipal monopoly CPS Energy (CPSE) faces a number of real threats and opportunities as they ride this wave of disruption. This case study will analyze the impact of the DER and EE/DR forces on CPSE and their opportunities.


2021 ◽  
Vol 9 (3) ◽  
pp. 474-495
Author(s):  
Lucas Makoto Conchon Ida ◽  
Cleonir Tumelero

Objective of the study: The objectives of this study were to describe the strategy and the innovation results from an idea generation program (IGP) of a Brazilian bank.Methodology: The study is predominantly descriptive; the method is the in-depth case study, and the data analysis was performed through content analysis.Originality/Relevance: The IGP's implementation stage is critical due to the need for financial resources, people, and time. An IGP can generate not only incremental technological innovations but also boost the innovation culture. Innovations developed from an IGP can be effective in facing competition from fintechs and digital transformation.Main results: The IGP's strategy is well-founded, as the result of 14 years of experience. However, there is still no clear strategy for measuring the impact of the implemented innovations. The IGP boosted both incremental technological (product, services, and process) and innovation culture. It has generated financial and non-financial results, and it predominantly follows the eastern model, recognizing employees’ ideas with non-financial rewards.Theoretical/methodological contributions: An IGP is designable in three main stages: ideation, in which all employees can participate, giving ideas for solving the problems indicated by the boards; selection, when a selection board chooses the ideas with the most significant potential for implementation and generating results; and implementation, when the selected ideas are transformed into innovations.Social /management contributions: A bank’s idea generation program is effective to boost technological innovation and innovation culture, which allow to face the fintechs and other essential players in the financial market, as well as to promote internal engagement and manage digital transformation, and deal with the VUCA (volatility, uncertainty, complexity, and ambiguity) scenario.


2018 ◽  
Author(s):  
Ylber Limani ◽  
Edmond Hajrizi ◽  
Rina Sadriu

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