scholarly journals The Effect of Organizational Quality Specific Immune on Innovation Performance in Manufacturing Enterprises

2020 ◽  
Keyword(s):  
Innovation Performance ◽  
Manufacturing Enterprises ◽  
Organizational Quality

scholarly journals Improving the Effectiveness of Multi-Agent Cooperation for Green Manufacturing in China: A Theoretical Framework to Measure the Performance of Green Technology Innovation

2020 ◽  
Vol 17 (9) ◽  
pp. 3211 ◽  
Author(s):  
Shi Yin ◽  
Nan Zhang ◽  
Baizhou Li
Keyword(s):  
Manufacturing System ◽  
Technology Innovation ◽  
Green Manufacturing ◽  
Green Technology ◽  
Innovation Performance ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Manufacturing Enterprises ◽  
Multi Agent ◽  
Agent Cooperation

A green manufacturing system is an important tool to realize green transformation of the manufacturing industry. The systematicness of green technology innovation as the key foundation of green manufacturing supports the entire huge green manufacturing system. In order to improve the effectiveness of multi-agent cooperation, it is necessary to analyze a series of green technology innovation achievements of manufacturing enterprises under multi-agent cooperation. First of all, inter-indicator correlation analysis and exploratory factor analysis were used to construct the evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation. Then, a secondary combined evaluation model was constructed based on the evaluation conclusions. Finally, a theoretical framework was constructed to measure the performance of the green technology innovation of manufacturing enterprises under multi-agent cooperation. The results of this study are as follows: The evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation is composed of the technology output, economic output, and social effect of green technology innovation. The key factors that influence the green technology innovation performance of manufacturing enterprises under multi-agent cooperation are the proportion of green technology transformation in traditional technology, the number of papers published jointly by multi-agent cooperation, the user acceptance of green technology products, and the degree of improvement of public environmental preference and consciousness. A fusion of technology of subjective and objective methods is an effective evaluation technique and can be applied to evaluate the performance of green technology innovation. The secondary combined evaluation combines the evaluation conclusions obtained by each single evaluation method in a certain form.

scholarly journals Role of Servitization, Digitalization, and Innovation Performance in Manufacturing Enterprises

2021 ◽  
Vol 13 (17) ◽  
pp. 9878
Author(s):  
Lei Shen ◽  
Cong Sun ◽  
Muhammad Ali
Keyword(s):  
Manufacturing Industry ◽  
Dynamic Capabilities ◽  
Innovation Performance ◽  
Manufacturing Companies ◽  
Business Innovation ◽  
Manufacturing Enterprises ◽  
Enterprise Innovation ◽  
The Impact ◽  
The Relationship

The structure of the manufacturing industry has forced manufacturing companies to understand the importance of digitalization and servitization transformation, in terms of production and R&D. In this study, we examine the relationship between servitization, digitization, and enterprise innovation performance through the lens of dynamic capabilities within enterprises. We also discuss the impact of the transformation servitization strategy on business innovation, and the mechanisms by which it impacts business innovation performance. The study’s findings indicate that servitization significantly contributes to innovation performance, and digitalization acts as a mediating mechanism between the proposed relationships. Thus, this article argues for the integration and growth of servitization and digitization.

scholarly journals INNOVATION PERFORMANCE OF CZECH AND FINNISH MANUFACTURING ENTERPRISES AND THEIR POSITION IN THE EU

ACC Journal ◽  
2021 ◽  
Vol 27 (2) ◽  
pp. 7-21
Author(s):  
Petr Blaschke ◽  
Jaroslav Demel ◽  
Iouri Kotorov
Keyword(s):  
Czech Republic ◽  
Performance Indicators ◽  
Manufacturing Industry ◽  
Public Support ◽  
Innovation Performance ◽  
European Countries ◽  
Size Group ◽  
The Czech Republic ◽  
Manufacturing Enterprises ◽  
The Eu

The aim of this article is to assess the innovation performance of innovative small, medium-sized, and large enterprises operating in the manufacturing industry in two European countries – the Czech Republic (CR) and Finland, and to determine their position within the EU based on a comparison with average values of created Fictitious EU Country (FEUC). The FEUC includes the indicators and population of the EU member countries whose data were available. The performed analysis is based on the use of selected key performance indicators (related mainly to inputs that are expected to contribute to innovations) evaluating the enterprises´ innovation performance. The conducted research tries to identify the most significant drivers of innovation performance with regard to the size group of enterprises. Moreover, the achieved results are further compared within the innovation environment of the CR and Finland as well as the EU as a whole. It is worth highlighting the innovation resources of Finnish mainly small but partly also medium-sized enterprises, which in some monitored indicators occupy a much more significant share than in the case of the CR. This fact can indicate a particular signal, which size group of enterprises should become a target group of public support aiming to boost innovation performance.

scholarly journals Research on The Effect of Subject Heterogeneity on Innovation Performance in Manufacturing Digital Innovation

2021 ◽  
Vol 292 ◽  
pp. 03001
Author(s):  
Jing Gao ◽  
Wanfei Zhan ◽  
Tao Guan ◽  
Qiuhong Feng
Keyword(s):  
Value Chain ◽  
Manufacturing Industry ◽  
Innovation Performance ◽  
Theory And Practice ◽  
Three Dimensions ◽  
Coordinated Development ◽  
Digital Innovation ◽  
Manufacturing Enterprises ◽  
Collaborative Innovation ◽  
Multi Agent

The digital transformation of manufacturing industry accelerates the collaborative innovation of multi-agent value co-creation, which makes the influence of subject heterogeneity on the innovation performance in digital innovation become a focus issue in both theory and practice. This paper builds a conceptual model of subject heterogeneity in digital collaborative innovation influence on the innovation performance from target heterogeneity, knowledge heterogeneity and organization heterogeneity three dimensions, which based on the perspective of the behavior subjects in manufacturing digital innovation of value co-creation. Then we deeply explore the influence mechanism between the heterogeneous cooperative innovation behavior of heterogeneous value subject and the innovation performance in digital innovation. The research results are helpful to realize higher quality digital cooperation among manufacturing enterprises, promote the coordinated development of digital value chain, and improve the digital innovation performance.

scholarly journals The Impact of Information Technology Capabilities of Manufacturing Enterprises on Innovation Performance: Evidences from SEM and fsQCA

2019 ◽  
Vol 11 (21) ◽  
pp. 5946 ◽  
Author(s):  
Yizhou Chu ◽  
Maomao Chi ◽  
Weijun Wang ◽  
Bo Luo
Keyword(s):  
Information Technology ◽  
Comparative Analysis ◽  
Fuzzy Set ◽  
Product Innovation ◽  
Qualitative Comparative Analysis ◽  
Process Innovation ◽  
Digital Transformation ◽  
Innovation Performance ◽  
Manufacturing Enterprises ◽  
It Capabilities

With the development of national strategies (such as Industrial 4.0 and Made in China 2025), how to build digital enterprises and cultivate innovation capabilities of enterprises has become a critical problem to Chinese manufacturing enterprises. However, the literature on the specific path of information technology (IT) capabilities to the innovation of enterprises is still lacking a body of relevant empirical research. In particular, it has not yet thought to explore the information technology capabilities, digital transformation, and then innovation performance of manufacturing enterprises. By performing a questionnaire investigation for 138 Chinese manufacturing enterprises, this study adopted both a fuzzy-set qualitative comparative analysis (fsQCA) and structural equation modeling (SEM) to explore the set relations of the conjunctions and conditions and the statistical associations by studying the relationships among information technology capabilities, digital transformation and innovation performance. The results show that the positive impacts of information technology capabilities on the process innovation performance and the digital transformation, as well as the positive impacts of digital transformation on both process innovation performance and product innovation performance. Specifically, digital transformation takes on a new function of partial mediation of IT capabilities and process innovation performance, and digital transformation functions as a complete mediator for IT capabilities and product innovation performance. The combinations of causal recipes related to innovation performance are provided by a fuzzy-set qualitative comparative analysis (fsQCA). Through the analyses of SEM and fsQCA, this research develops the formation mechanisms of both process innovation performance and product innovation performance, and provides guidance for both IT and innovation management of manufacturing enterprises in China.

Influence of Intellectual Capital on Technical Innovation Performance of Clustered Manufacturing Enterprises

2013 ◽  
Vol 712-715 ◽  
pp. 3173-3180
Author(s):  
Wen Jie Jiang ◽  
Yu Rong Zhang
Keyword(s):  
New Product Development ◽  
Intellectual Capital ◽  
Innovation Performance ◽  
Technical Innovation ◽  
Industry Clusters ◽  
Industry Cluster ◽  
Manufacturing Enterprises ◽  
Strategic Program ◽  
Traditional Manufacturing ◽  
Vertical Relation

The influence of network relation capital, staff professional skills, organization structure and planning on manufacturing members of industry clusters technical innovation performance is significant. But the influence of Vertical relation capital, managerial capability, organizational culture of innovation on manufacturing members of industry clusters technical innovation performance is not significant. Although the empirical results show not all elements of intellectual capital had affected manufacturing members of industry clusters technical innovation performance significantly, however it could not illustrate the influence of intellectual capital on manufacturing members of industry clusters technical innovation performance is not significant, it indicate the influence of intellectual capital on manufacturing members of industry clusters technical innovation performance does not exert completely in the current. Traditional manufacturing members of industry cluster should reinforce cooperation with network stakeholders, such as university, R&D institution, and so on. Also Traditional manufacturing members of industry cluster should create the conditions for suppliers and customers participating in new product development, It is necessary to pay more attention on construction of professional human resources, advocating culture of innovation, constructing R&D institution and information infrastructure legitimately relying innovation network, formulating explicit technology strategic program.

scholarly journals Fostering Innovation Performance of Russian Manufacturing Enterprises: New Opportunities and Limitations

2012 ◽  
Vol 6 (2) ◽  
pp. 18-41 ◽  
Author(s):  
Denis Ivanov ◽  
◽  
Mikhail Kuzyk ◽  
Yuri Simachev ◽  
◽  
...  
Keyword(s):  
Innovation Performance ◽  
Manufacturing Enterprises
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