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 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 A Dynamic Evolutionary Game Model of Collaborative Innovation in Manufacturing Services Industry and Manufacturing Industry

2021 ◽  
Vol 15 ◽  
pp. 1099-1108
Author(s):  
Deguang Liu
Keyword(s):  
Value Chain ◽  
Manufacturing Industry ◽  
Evolutionary Game ◽  
Spillover Effect ◽  
Transfer Of Knowledge ◽  
Producer Services ◽  
Basic Model ◽  
Collaborative Innovation ◽  
Innovation Model ◽  
The One

Collaborative innovation has a significant impact on the efficiency of manufacturing services and manufacturing innovation. In this paper, a collaborative innovation model of manufacturing services and manufacturing is constructed based on the two-dimensional asymmetric evolutionary game basic model. The stable evolution strategy of the model is to be found through the solutions to the replicator dynamic differential equation of both sides of the game. The results show that on the one hand, producer services can rely on the carrier of knowledge capital and human capital to link to the manufacturing process from front to back, and form the forward and backward spillover effect. On the other hand, the knowledge elements in producer services, especially tacit knowledge, are transmitted through the modern network under the common industrial culture atmosphere in the process of continuous industrial interaction and industrial integration, which can promote the sharing and transfer of knowledge, produce interactive innovation, and finally promote the innovation of value chain.

scholarly journals Nonlinear Characteristics of the Effect of Manufacturing Servitization on Consumer Business Performance

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Guoqiong Long ◽  
Chong Li ◽  
Shuai Li ◽  
Tianxiang Xu
Keyword(s):  
Value Chain ◽  
Business Performance ◽  
Manufacturing Industry ◽  
Spillover Effect ◽  
Service Performance ◽  
Chain Extension ◽  
Annual Reports ◽  
Manufacturing Enterprises ◽  
Nonlinear Trends ◽  
Industrial Value Chain

Servitization is an important trend in the transformation and upgrading of the manufacturing industry, but whether it can significantly improve enterprise performance is the key to the transformation. Based on the sample of Chinese A-share listed companies from 2011 to 2019, we analyze the business scope of 2502 annual reports to identify the service level of consumer goods manufacturing enterprises. The results show the following. (1) The “service performance” curve shows obvious nonlinear trends and heterogeneity in different industries and different performance conditions. The curve between servitization and return on assets tends to show a positive “U” shape, but the relationship between servitization and revenue per employee obviously shows an inverted “U” shape. (2) Manufacturing enterprises with relatively low technical complexity and relatively high industry competition will reach the inflection point of service performance “U” curve more quickly and get rid of “service trap” more easily. (3) The automobile manufacturing industry invests in software development and other fields that are not related to its own advantages, which violates the correlation law of the industrial value chain, leading to the coexistence of “service trap” and “principle-agent dilemma.” The clothing and electrical appliances industries are more likely to fall into the “service trap” because they face the challenge of “Internet + manufacturing” transformation. The beverage and wine manufacturing industry has induced a “service spillover” effect, which is mainly due to its low technical complexity and service based on the industrial chain. It is proposed that manufacturing enterprises explore business growth points from the perspective of industrial value chain extension and strengthen upstream product R&D and terminal e-commerce services.

scholarly journals Sustaining Innovation through Joining Global Supply Chain Networks: The Case of Manufacturing Firms in Thailand

2020 ◽  
Vol 12 (13) ◽  
pp. 5259 ◽  
Author(s):  
Tieng Kimseng ◽  
Amna Javed ◽  
Chawalit Jeenanunta ◽  
Youji Kohda
Keyword(s):  
Supply Chain ◽  
Value Chain ◽  
Manufacturing Industry ◽  
Joint Venture ◽  
Global Supply Chain ◽  
Innovation Performance ◽  
Supply Chain Networks ◽  
Ownership Structures ◽  
Local Supply ◽  
Product And Process Innovation

Joining global supply chain networks helps firms to enhance innovation performance as firms need to satisfy various standard requirements from overseas customers. From the global value chain theory, there is no evidence on what types of supply chain ownership structures help firms to achieve more innovation. This deficiency led us to investigate types of supply chain ownership structures, i.e., Pure Domestic Chain, Pure Joint Venture (JV) Chain, Pure Multinational Corporation (MNC) Chain, Export Chain, and Import Chain, that can help firms to achieve more innovation. One-way ANOVA is used to analyze 856 responses collected from the Thai manufacturing industry during 2012–2017. The results indicate that firms in the Pure MNC Chain have the highest levels of product and process innovation. There is less innovation for the Pure JV Chain, Export Chain, Import Chain, and Pure Domestic Chain, in decreasing order. This means that firms in global supply chain networks tend to have better innovation performance than firms in local supply chain networks. The innovation capabilities of local firms can be enhanced through knowledge transfer and knowledge co-creation by joining global supply chain networks.

scholarly journals Analysis on the endogenous mechanism of big data and tower management framework in intelligent manufacturing enterprises

2019 ◽  
Vol 277 ◽  
pp. 02011
Author(s):  
Mingwei Sun ◽  
Feng Wang ◽  
Haihua Li ◽  
Ying Liu ◽  
Shuli Wang
Keyword(s):  
Big Data ◽  
Value Chain ◽  
Intelligent Manufacturing ◽  
Three Dimensions ◽  
Chain Model ◽  
Management Framework ◽  
Manufacturing Enterprises ◽  
The Hierarchical Structure ◽  
The Difference ◽  
Basic Characteristics

This paper makes an in-depth comparative analysis of years of experience in intelligent manufacturing projects and literature research related to Big Data. The 4.0 value chain model and concept are put forward to carry out the logical analysis of the endogenous relationship drive and endogenous management mechanism of intelligent manufacturing. The intelligent manufacturing business management process under the 4.0 value chain is established, and the tower Big Data management framework of intelligent manufacturing enterprises is innovatively proposed. This paper discusses the connotation, elements and drive relationship of enterprise Big Data from three dimensions of business operation, information drive and management policies. The hierarchical structure and related connotation of Big Data are revealed, and the basic characteristics of intelligent manufacturing enterprises Big Data are analyzed. The purpose of this paper is to clarify the difference of the concept between enterprise Big Data and mass data and open the Big Data fundamental research driven by digitization management. It provides basic innovative ideas and scientific research methods for the new generation of digital virtual simulation, digital factory construction and industrial chain management.

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