scholarly journals Evolution Decision, Drivers and Green Innovation Performance for Collaborative Innovation Center of Ecological Building Materials and Environmental Protection Equipment in Jiangsu Province of China

2018 ◽  
Vol 15 (11) ◽  
pp. 2365 ◽  
Author(s):  
Wei Fang ◽  
Lulu Tang ◽  
Pengxiao Cheng ◽  
Naveed Ahmad
Keyword(s):  
Environmental Protection ◽  
Building Materials ◽  
Innovation Performance ◽  
Innovation Network ◽  
Governance Mechanism ◽  
Green Innovation ◽  
Relationship Strength ◽  
Decision Factors ◽  
Collaborative Innovation ◽  
Ecological Building

Faced with the bottlenecks and shortcomings brought about by the resource and environmental issues regarding the sustainable development of the economy and society, green innovation has become an important symbol to measure the sustainable competitive advantage of a country and a region. As an important carrier of green innovation, the evolution process of the collaborative innovation network and its green innovation performance are affected by many factors. Therefore, this paper refines the influencing factors of the formation and evolution of collaborative innovation networks and the evaluation indicators of the green innovation performance by literature analysis. According to the characteristics of each evolutionary influence factor, the relationship governance mechanism, relationship strength, and dominant role are defined as decision factors. The rest are defined as drivers. Then, the Analytic Network Process (ANP) is used to empirically analyze the interaction between network evolution decision, driving factors, and green innovation performance, and the interaction relationship model of decision factors, driving factors, and green innovation performance is obtained. The qualitative simulation algorithm based on qualitative simulation (QSIM) basic theory is used to simulate the evolution of a collaborative innovation network, and find the optimal decision to make the green innovation performance reach its relatively high point. Finally, this paper considers the Collaborative Innovation Center of Ecological Building Materials and Environmental Protection Equipment in Jiangsu Province of China as the research object, focusing on its initial stage of growth and maturity. Combining the theory of QSIM with the actual simulation, according to the different development stages of the Collaborative Innovation Center, this paper provides decisions that can promote the rapid improvement of green innovation performance in three aspects: relationship governance mechanism, relationship strength, and core leadership.

scholarly journals Collaborative Innovation Network, Knowledge Base, and Technological Innovation Performance-Thinking in Response to COVID-19

2021 ◽  
Vol 12 ◽  
Author(s):  
Su Jialu ◽  
Ma Zhiqiang ◽  
Zhu Binxin ◽  
Xie Haoyang ◽  
Agyeman Fredrick Oteng ◽  
...  
Keyword(s):  
Knowledge Base ◽  
Technological Innovation ◽  
Positive Relationship ◽  
Patent Application ◽  
Multiple Linear Regression Model ◽  
Two Dimensions ◽  
Innovation Performance ◽  
Clustering Coefficient ◽  
Innovation Network ◽  
Collaborative Innovation

Amid the pandemic of COVID-19, the collaborative innovation network of enterprises is conducive to the sharing of innovation resources, knowledge transfer, and technology diffusion, which is closely related to the improvement of corporate technological innovation performance. Based on the patent application data of listed enterprises in Jiangsu, Zhejiang, and Shanghai in China, this study constructs a cooperation matrix, describes the characteristics of collaborative innovation network from two dimensions of network structure and network relationship, introduces the breadth of the knowledge base as a moderating variable, and analyzes the nexus between characteristics of a collaborative innovation network and technological innovation performance. Based on the panel data of 193 listed companies in Jiangsu, Zhejiang, and Shanghai, this study uses a multiple linear regression model for empirical analysis. The results show a U-shaped relationship between clustering coefficient and technological innovation performance. The breadth of knowledge base strengthens the positive relationship between the structural hole and technological innovation performance. In contrast, the breadth of knowledge base weakens the positive relationship between network relationships strength and technological innovation performance. The study findings will enhance enterprises’ participation in a suitable collaborative innovation according to their knowledge-based characteristics and improve the technological innovation performance.

Legal framework for improvement of agroecology by cultivating jerusalem artichoke

2020 ◽  
pp. 59-66
Author(s):  
Mykhailo Kosmii ◽  
Vasyl. Kasiianchuk ◽  
Ruslan Zhyrak ◽  
Ivan Krykhovetskyi
Keyword(s):  
Environmental Protection ◽  
Organic Farming ◽  
Alternative Energy ◽  
Building Materials ◽  
Environmental Law ◽  
Jerusalem Artichoke ◽  
Legal Framework ◽  
Legal Regulation ◽  
Practical Application ◽  
Scientific Cognition

The purpose of this paper is to analyze and research the legal mechanisms which make it possible to improve agroecology through the organization of cultivation of Jerusalem artichoke.Methodology. The methodology includes comprehensive analysis and generalization of available scientific, theoretical, practical and applied material and development of relevant conclusions and recommendations. During the research, the following methods of scientific cognition were used: dialectical, terminological, historical and legal, logical and normative, systemic and structural, functional, normative and dogmatic, generalization methods. Results. The process of analysis and research highlighted the possibilities of cultivating Jerusalem artichoke for improving agroecology, namely improving the ecological state of the atmosphere air and soil, preparing them for organic farming. The article contains examples of practical application of tubers of Jerusalem artichoke and herbage for the production of therapeutic and prophylactic products, alternative energy and highly efficient building materials. Scientific novelty. The study found that the authors summarized and systematized the levels of legal regulation in the field of using Jerusalem artichoke for improving agroecology, preparing soil for organic farming, in particular: the inter-sectoral level which covers the interaction of agricultural and environmental law in terms of cultivation and use of Jerusalem artichoke; the level of integrated environmental and legal regulation; level of individual resource (floristic) legal regulation; the level of environmental protection (anthropoprotection) legislation.Practical importance. The results of the study can be used in law-making and environmental protection activities related to issues of cultivating and using the Jerusalem artichoke as a means of improving agroecology.

scholarly journals Accelerating Green Innovation Performance from the Relations of Network Potential, Absorptive Capacity, and Environmental Turbulence

2021 ◽  
Vol 13 (14) ◽  
pp. 7765
Author(s):  
Shuizheng Song ◽  
Md Altab Hossin ◽  
Xiaohua Yin ◽  
Md Sajjad Hosain
Keyword(s):  
Sustainable Development ◽  
Absorptive Capacity ◽  
Bootstrap Method ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Mediation Effect ◽  
Environmental Turbulence ◽  
High Tech ◽  
Green Innovation ◽  
The Relationship

The demand for sustainable development and the advantages of industries are expediting over time with the triggering of green innovation performance (GIP). Improving a firm’s GIP, especially in manufacturing industries, can accelerate green development and mitigate the global-concerned environmental issues. Thus, to investigate GIP from its antecedent factors, we delineate the relationship between network potential, absorptive capacity, environmental turbulence, and GIP based on social network theory, organizational learning theory, and contingency theory. We tested our hypotheses based on 233 sets of questionnaire surveys from high-tech manufacturing firms in China through deploying the hierarchical regression and bootstrap method. Our empirical findings reveal that the network potential dimensions, including network position centrality (NPC), network structure richness (NSR), and network relationship closeness (NRC), significantly positively impacted the GIP. The absorptive capacity (AC) partially mediated the relationship between the network potential dimensions and GIP. Environmental turbulence (ET) as an essential mechanism not only positively moderated the relationship between AC and GIP but also enhanced the AC mediation effect. These findings indicate that manufacturing firms should continue to improve network potential and AC and respond rapidly to changes in the external environment to enhance GIP, consequently contributing to the sustainable development of the economy.

scholarly journals Dynamic Evolution Model of a Collaborative Innovation Network from the Resource Perspective and an Application Considering Different Government Behaviors

Information ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 138 ◽  
Author(s):  
Wu ◽  
Shao ◽  
Feng
Keyword(s):  
Network Evolution ◽  
Evolution Model ◽  
Dynamic Evolution ◽  
Innovation Network ◽  
Transfer Policy ◽  
Collaborative Innovation ◽  
Innovation Output ◽  
The Government ◽  
Small Change ◽  
Innovative Behaviors

The evolution of a collaborative innovation network depends on the interrelationships among the innovation subjects. Every single small change affects the network topology, which leads to different evolution results. A logical relationship exists between network evolution and innovative behaviors. An accurate understanding of the characteristics of the network structure can help the innovative subjects to adopt appropriate innovative behaviors. This paper summarizes the three characteristics of collaborative innovation networks, knowledge transfer, policy environment, and periodic cooperation, and it establishes a dynamic evolution model for a resource-priority connection mechanism based on innovation resource theory. The network subjects are not randomly testing all of the potential partners, but have a strong tendency to, which is, innovation resource. The evolution process of a collaborative innovation network is simulated with three different government behaviors as experimental objects. The evolution results show that the government should adopt the policy of supporting the enterprises that recently entered the network, which can maintain the innovation vitality of the network and benefit the innovation output. The results of this study also provide a reference for decision-making by the government and enterprises.

Application of High Ti-Bearing Blast Furnace Slag in Field of Building Materials

2014 ◽  
Vol 1052 ◽  
pp. 392-395 ◽  
Author(s):  
Li Xia He
Keyword(s):  
Sustainable Development ◽  
Blast Furnace ◽  
Environmental Protection ◽  
Blast Furnace Slag ◽  
Building Materials ◽  
Waste Material ◽  
Great Production ◽  
Bf Slag ◽  
Furnace Slag

High Ti-bearing blast furnace (BF) slag is the smelting waste of vanadium titano-magnetite. It has great production but low utilization. The high Ti-bearing BF slag is used in building materials industry, which recycles waste material, saves resources and energy, benefiting environmental protection and achieving sustainable development of resources. Study on the recycling of high Ti-bearing BF slag will be an important subject of our researches in future.

Identifying the factors determining cooperative innovation effect in emerging economies

2017 ◽  
Vol 11 (3) ◽  
pp. 366-386 ◽  
Author(s):  
Xuemei Xie ◽  
Saixing Zeng ◽  
Zhipeng Zang ◽  
Hailiang Zou
Keyword(s):  
Social Networks ◽  
Emerging Economies ◽  
Structural Equation ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Government Policies ◽  
Content Type ◽  
Four Dimensions ◽  
Internal Capabilities ◽  
Collaborative Innovation

Purpose The purpose of this study is to identify the factors determining collaborative innovation effect of manufacturing firms in emerging economies. Design/methodology/approach Based on a survey of 1,206 Chinese manufacturing firms and using structural equation modelling, this study explores the factors determining the effect of collaborative innovation among manufacturing firms (namely, internal capabilities, government policies, collaboration mechanisms and social networks) and examines the relationship between collaborative innovation effect and innovation performance. Findings The study finds that there are significantly positive relationships between firms’ internal capabilities, government policies, collaboration mechanisms and social networks and collaborative innovation effect among firms. Practical implications These findings reveal that policymakers should create an effective institutional culture and market environment to facilitate firms’ collaborative innovation. Originality/value This paper draws on the resource-based view of firms and contributes to understanding of how the development of factors determining firms’ collaborative innovation effect can improve innovation performance. This study extends established frameworks on collaborative innovation in relation to four dimensions, namely, firms’ internal capabilities, government policies, collaboration mechanisms and social networks, uniquely identifying the limits of specific dimensions. Moreover, this study addresses government policies and “Guanxi culture” specific to China that provide new insights into how firms’ collaborative innovation is improved from the perspectives of business–governmental relations and social networks.

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