scholarly journals Open Innovation Mode of Green Innovation System for Manufacturing Industry

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Shao Bo ◽  
Bi Kexin
Keyword(s):  
Open Innovation ◽  
Manufacturing Industry ◽  
Innovation System ◽  
Innovation Process ◽  
Environmental Aspects ◽  
Green Innovation ◽  
Open Operation ◽  
Proposed Model ◽  
Operational Ability ◽  
Innovation Mode

The open mode of the manufacturing innovation system under conventional conditions makes it difficult to realize the open operation of the green innovation system, which also lacks operational capability and has low analysis coverage. Therefore, an open model of the green innovation system in the manufacturing industry is put forward. The opening and functional elements of the model are determined. The mechanism of the environmental aspects is clarified. The adaptability of different levels of the innovation process is discussed, and its evolution theory is derived. Finally, the best open innovation model’s selection rules are chosen to realize the analysis of the open innovation model’s mechanism. Its established operational index and model mechanism are discovered for the manufacturing industry. The experimental data show that our proposed model of the green innovation system is more efficient than the conventional model as its operational ability is increased by 33.42%, and the coverage rate is enhanced by 54.32%.

scholarly journals Semi open Innovation: an Approach to the Innovation Typology

2018 ◽  
Vol 10 (1) ◽  
pp. 55-81
Author(s):  
Andréia De Fátima Ribeiro Rocha ◽  
Isabel Cristina dos Santos ◽  
Almir Martins Vieira
Keyword(s):  
Open Innovation ◽  
Design Methodology ◽  
Innovation Process ◽  
Technological Education ◽  
Local Conditions ◽  
Innovation Model ◽  
New Perspective ◽  
National Reputation ◽  
Innovation Mode ◽  
Technology Institute

Purpose: This study aims to contribute to the Innovation Models debate from a new perspective on the innovation process, more frequently discussed in a range from closed to open innovation model. Coming into to the discussion in the recent years, called semi open innovation, this modality of innovation has been referenced as one that uses external knowledge, however considers that this knowledge is not a crucial element for the development of innovation. In this present study, semi-open innovation is characterized when the innovation process meets specific conditions of particular set of technologies and companies bounded by the local conditions. Design/Methodology/Approach: it refers to a qualitative study, supported by case studies. Findings: It was observed that the existence of a local Scientific and Technology Institute is a reason to define the location to produce, but did not find evidences of a large use of STI resources or with other local researchers for a product development. We could not clearly identify real open innovation model in practice. However, the proximity of a technological education and University of great national reputation, in addition to providing skilled labour, becomes a source of knowledge that should be used more frequently. Conclusions pointed out that there is a restricted support given by STI. The cases show that two firms practice an open innovation mode. In one case we conclude it refers to semi-open innovation practice.

scholarly journals PROPOSAL OF A MODEL FOR THE ECO-INNOVATION INTEGRATION INTO THE INNOVATION PROCESS OF COMPANIES IN SLOVAKIA TO INCREASE THEIR PERFORMANCE

2021 ◽  
Vol 8 (3) ◽  
pp. 199-207
Author(s):  
Erika Loučanová ◽  
Miriam Olšiaková
Keyword(s):  
Opposite Effect ◽  
Positive Impact ◽  
Innovation System ◽  
Innovation Process ◽  
Relevant Information ◽  
Production Logistics ◽  
Environmental Support ◽  
Proposed Model ◽  
Pros And Cons ◽  
Negative Factors

The issue of innovations, as well as ecological innovations, is a concept in Slovakia, to which considerable attention is paid because they affect all spheres of society. They relate to production, logistics, sales, and the consumers, who decide on their acceptance on the market. However, the success of innovation in the market depends on several factors that influence the innovation process. They are not just determinants that act pro-innovation and thus support innovation and innovation process. In the innovation process, some factors have the opposite effect and result in forces that suppress the creation of innovation. Therefore, in this article, we focus on mapping the state of pros and cons of innovation forces acting on companies’ innovation process in Slovakia. Based on the above findings, we have identified a large interest in implementing innovations, using an open innovation system to implement innovations and implementing eco-innovation. On the other hand, we have also identified negative factors influencing companies’ innovation process such as lack of financial resources, high bureaucracy, lack of relevant information for creating innovations, low awareness of eco-innovation, etc. Subsequently, based on the findings, we proposed a model for eco-innovation integration into companies’ innovation process in Slovakia, which was the paper’s aim. The proposed model eliminates mainly the negative influencing factors of the innovation process in companies, and at the same time, it should support them for the innovation direction. Implementing the proposed model should lead to an innovation increase in companies, but their positive impact also applies to environmental support and an overall increase in the company´s efficiency in Slovakia.

A Resource Optimization Allocation Strategy for China’s Shipbuilding Industry Green Innovation System

2020 ◽  
Vol 17 (04) ◽  
pp. 2050029
Author(s):  
Kexin Bi ◽  
Kwangil An ◽  
Xiang Li
Keyword(s):  
Innovation System ◽  
Pso Algorithm ◽  
Resource Optimization ◽  
Allocation Strategy ◽  
Green Innovation ◽  
Allocation Model ◽  
Shipbuilding Industry ◽  
Proposed Model ◽  
Resource Data ◽  
Optimization Allocation

In order to realize the resource optimization allocation in the green innovation system of China’s shipbuilding industry under the internet environment, to improve the level of green innovation and to reduce the resource consumption, a resource optimization allocation model and the corresponding allocation strategy are proposed. The model integrates and shares the innovation resource data through Internet of Things (IOT) technology, and optimizes the allocation decision by using the cooperative differential game and Particle Swarm Optimization (PSO) algorithm. At the same time, it ensures the robustness of green innovation system and realizes the optimization allocation of resources. A case study is given to illustrate the feasibility of the model. The results show that the green innovation subject can carry out strategic interaction by adjusting the allocation proportion of innovation resources through the proposed model, so as to optimize the overall green innovation benefits of the system.

scholarly journals Measuring Green Innovation Efficiency for China’s High-Tech Manufacturing Industry: A Network DEA Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Qunzhao Deng ◽  
Shuzhen Zhou ◽  
Feng Peng
Keyword(s):  
Environmental Pollution ◽  
Value Chain ◽  
Manufacturing Industry ◽  
Environmental Law ◽  
Estimation Method ◽  
Innovation Process ◽  
High Tech ◽  
Green Innovation ◽  
Network Dea ◽  
Dea Approach

Earlier studies on the innovation process in the high-tech manufacturing industry failed to take environmental pollution into account, making it difficult to estimate green innovation efficiency in the industry. From a perspective of innovation value chain, this paper decomposes green innovation process in the high-tech manufacturing industry into two stages: R&D stage and achievement transformation stage; a network DEA approach considering undesirable outputs is utilized to estimate the green innovation efficiency in China’s high-tech manufacturing industry. Compared with the method of conventional innovation efficiency without considering environmental pollution, the estimation method for green innovation efficiency can not only avoid bias of estimation results of provinces producing low pollution emissions like Inner Mongolia and Hainan but also reflect the volatility in efficiency of the high-tech manufacturing industry before and after the implementation of the environmental law.

Evolution of Urban Green Innovation Efficiency Under Environmental Regulations: A Case Study of Xi’an

2021 ◽  
pp. 2050015
Author(s):  
ZHANG Jingxiao ◽  
LIU Runchang
Keyword(s):  
Environmental Regulation ◽  
Technological Innovation ◽  
Innovation Policy ◽  
Innovation System ◽  
Innovation Process ◽  
Indicator System ◽  
Green Innovation ◽  
Network Dea ◽  
Urban Green ◽  
Scientific Innovation

This paper aims to develop a method to properly measure the urban green innovation efficiency under environmental regulation, analyze the evolution rules of this efficiency, and make rational policy suggestions. By exploring an indicator system which is suitable for the actual urban development, we divided the urban green innovation process into interrelated sub-processes that are based on an innovation chain, established a slacks-based network DEA model, evaluated the overall efficiency of the urban green innovation system and the efficiency of each stage, and studied the evolution of urban green innovation efficiency. Taking Xi’an City as an example, we analyzed the evolution of urban green innovation efficiency under environmental regulation, with the results showing that the process of urban green innovation can be divided into two stages: technological innovation and technological conversion. Xi’an was at the forefront of green innovation efficiency only in 2006, 2009 and 2017, while making inefficient allocation of scientific resources in all other years. The efficiency of scientific and technological research and development has become a major factor in restricting the green innovation efficiency under environmental regulation in Xi’an. Forging ahead in both technological conversion and scientific innovation efficiency should be the best path of green development and innovation. To achieve the continuous and stable improvement of green innovation efficiency, Xi’an should keep improving its green innovation policy to adapt to the increasing social productive forces, and pay attention to the balance between technological innovation and technological conversion.

scholarly journals Harbin 2020 R&D Personnel Demand Forecast Based on Manufacturing Green Innovation System

2018 ◽  
Vol 38 ◽  
pp. 01041
Author(s):  
Xin Jiang ◽  
Yu Ting Duan ◽  
Jun Yi Shen ◽  
Dong Ying Zhang
Keyword(s):  
Manufacturing Industry ◽  
Innovation System ◽  
Green Manufacturing ◽  
Green Innovation ◽  
Demand Forecast ◽  
Manufacturing Enterprises ◽  
Harbin City ◽  
Development Goals ◽  
Predicted Values ◽  
The Impact

Because of the constraints of energy conservation and the impact on the environment, the manufacturing industry has adopted sustainable development as the goal, and a green manufacturing innovation system based on environmental protection has emerged. In order to provide R&D personnel support to manufacturing enterprises in Harbin, and in order to promote the construction of a green innovation system for manufacturing and the realization of the 13th Five-Year Plan, this article used the grey forecasting model and the univariate linear regression prediction to predict the number of R&D personnel in Harbin in 2020 based on the number of R&D personnel in 2010-2016, and the predicted values were 24,952 and 31,172 respectively. The results show that if Harbin continues to use its original development model, it will not be able to achieve the established development goals by 2020 because of the shortage of R&D personnel. Therefore, it is necessary to increase investment in R&D personnel so as to achieve the 13th Five-Year Plan of Harbin City and protect the ecological green development goals.

scholarly journals Open Innovation’s Barriers In Creating Idea’s Explosion: A Conceptual Framework

2021 ◽  
Vol 1 (1) ◽  
pp. 12-22
Author(s):  
Hendrati Dwi Mulyaningsih ◽  
Ani Wahyu Rachmawati ◽  
Aminuddin Irfani ◽  
Nurdin Nurdin
Keyword(s):  
Open Innovation ◽  
Meta Analysis ◽  
Innovation System ◽  
Innovation Process ◽  
Managerial Implication ◽  
Digital Revolution ◽  
Two Factors ◽  
External Organization ◽  
Innovation Barriers ◽  
Inside Out

Open innovation has been developing in the digital revolution era. Many research and references refer to how open innovation can influence the work process, productivity and other factors. The research focusing on how to generate the model of open innovation barriers to create idea’s explosion in innovation process. In detail, the research intent to investigate open innovation barriers from two factors comprise of Inside-in Factors and Inside-out factors. The research applied desk research method to provided conceptual and meta-analysis focusing on integration and proposing new relationships open innovation barriers comprise inside-in factor and inside-out factor. The conceptual and meta-analysis result provide two important factors of open innovation barriers consist of inside-in factor and inside-out factor. Inside-in factor refers barriers which come up by internal factors in the organization or firms itself. On the other hand, inside-out factor refers to barriers which come from external organization or firm. The managerial implication of the research can be applied in organization or firm which use open innovation process in their workflow or model business. Previous research has already identified three levels of analysis of barriers in open innovation, first level is internal level of firms, second level is innovation system of policies and third level is innovations funding and cultural level. Hence, the novelty of the research intent to investigate open innovation barriers from two factors comprise of Inside-in Factors and Inside-out factors

scholarly journals Green Innovation in Environmental Complexity: The Implication of Open Innovation

2021 ◽  
Vol 7 (2) ◽  
pp. 107
Author(s):  
Ieva Meidute-Kavaliauskiene ◽  
Şemsettin Çiğdem ◽  
Aidas Vasilis Vasiliauskas ◽  
Bülent Yıldız
Keyword(s):  
Firm Performance ◽  
Open Innovation ◽  
Environmental Uncertainty ◽  
Environmentally Friendly ◽  
Maximum Level ◽  
Survey Method ◽  
Green Innovation ◽  
Environmental Complexity ◽  
Data Set ◽  
Innovation Activities

People have become more conscientious about the environment in recent years. Increasing environmental awareness drives customers to be more selective about environmentally friendly products and forces governments to adopt environmentally friendly policies. As a result, competition in the market becomes more challenging. Thus, companies cannot remain indifferent to adopting environmentally friendly strategies to be sustainable. In this regard, this study investigates the effect of green innovation on firm performance. We also examined whether the environmental uncertainty moderates the investigated effect. For this purpose, first, data were collected from the first 1000 exporting firms declared in 2019 by the Turkey Exporters Assembly using a survey method. Secondly, factor analyses and regression analyses were performed with the data set obtained from 136 companies. As a result of the analysis, it was determined that green innovation increases both environmental performance and economic performance. It also was found that green innovation positively affects firm performance, but environmental uncertainty reduces this effect. According to these results, it was offered that firms should increase their green innovation activities to achieve better outputs and seek ways to reduce environmental uncertainty to keep these outputs at the maximum level. Finally, the research includes some considerations on the positive implications and potential of green innovation in an open-innovation context.

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