scholarly journals Innovation Efficiency and the Spatial Correlation Network Characteristics of Intelligent-Manufacturing Enterprises

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Ningning Fu
Keyword(s):  
Spatial Correlation ◽  
Eastern China ◽  
Spatial Association ◽  
Intelligent Manufacturing ◽  
Correlation Network ◽  
Data Envelopment ◽  
Network Characteristics ◽  
Manufacturing Enterprises ◽  
Enterprise Innovation ◽  
Intermediary Role

A data envelopment analysis cross-efficiency model was used to measure the innovation efficiency of Chinese intelligent-manufacturing (IM) enterprises. This paper took as samples the number of granted patents and R&D investments of IM enterprises listed from 2015 to 2020. This research used the modified gravity model to determine the innovation efficiency and the spatial correlation of IM enterprises in China and used UCINET software to reveal the innovation efficiency and spatial network characteristics of IM enterprises through a social network analysis. The study found that the relationship was significant and frequently close between innovation efficiency and the spatial correlation network of IM enterprises. The distribution of the spatial association network was “core-edge,” and IM enterprises in Eastern China were at the network core and mostly played an intermediary role. The spatial correlation network had four modules. The distribution of the enterprise innovation correlation was uneven within each module, amalgamation was poor among the subgroups, and characteristics of highly cohesive subgroups were present.

scholarly journals Does Regional Financial Resource Contribute to Economic Growth? From the Perspective of Spatial Correlation Network

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402199938
Author(s):  
Feng Wang ◽  
Wei Chai ◽  
Xiaotian Shi ◽  
Mingru Dong ◽  
Bin Yan
Keyword(s):  
Economic Development ◽  
Spatial Correlation ◽  
Network Effects ◽  
Positive Impact ◽  
Network Effect ◽  
Correlation Network ◽  
Financial Resources ◽  
Network Characteristics ◽  
Level Of Economic Development ◽  
Resources Distribution

Using the method of social network analysis, this article explores the characteristics of financial resources distribution at the provincial level in China from 2000 to 2017, and analyzes the influencing factors and network effects of the spatial correlation network characteristics on distribution of financial resources, the results are as follows: The overall network characteristics of the financial resources distribution among provinces and cities in China are of low density, of high dependence and poor stability. The level of economic development, marketization, and integration are related to the spatial correlation network of the distribution of financial resources, and the level of integration and marketization have a significant positive impact on it. Due to the imbalance of economic development among regions in China, the overall network characteristics have a negative network effect on the speed of economic development. Individual network characteristics have a positive network effect on the speed of economic development. Improving network density, network correlation, and reducing network level can narrow the gap in economic development between provinces.

scholarly journals Research on the spatial association network structure for innovation efficiency of China’s new energy vehicle industry and its influencing factors

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255516
Author(s):  
Yining Zhang ◽  
Zhong Wu
Keyword(s):  
Spatial Correlation ◽  
Influencing Factors ◽  
Spatial Association ◽  
Correlation Network ◽  
Spatial Distance ◽  
Spatial Correlations ◽  
Analysis Model ◽  
New Energy ◽  
The Difference ◽  
New Energy Vehicle

It is of great significance to study the spatial network of the new energy vehicle (NEV) industry innovation efficiency and its factors to promote the rational allocation of innovative resources and the coordinated development of Chinese NEV industry. First, the Super Efficiency Data Envelope Analysis model is used to measure innovation efficiency in the NEV industry in Chinese provinces, and based on the results, the improved gravity model is applied to construct a spatial correlation network. Then, by applying social network analysis (SNA) to study NEV industry development node spatial correlations, we conclude that there is no overall hierarchical structure. The SNA are applied to examine spatial correlations with respect to NEV industry innovation efficiency in each province, and to analyze the role and position of each province in the spatial correlation network. Finally, the influencing factors of spatial correlation of the innovation efficiency of China’s NEV industry has been discussed. The result shows that the difference in spatial distance and R&D investment has a significant impact on the spatial correlation of the NEV industry.

Multi-step real-time wind speed prediction based on convolution memory network

2021 ◽  
pp. 0309524X2199826
Author(s):  
Guowei Cai ◽  
Yuqing Yang ◽  
Chao Pan ◽  
Dian Wang ◽  
Fengjiao Yu ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Wind Speed ◽  
Real Time ◽  
Wind Power ◽  
Spatial Correlation ◽  
Prediction Accuracy ◽  
Spatial Information ◽  
Spatial Association ◽  
Spatial Feature ◽  
Time Prediction

Multi-step real-time prediction based on the spatial correlation of wind speed is a research hotspot for large-scale wind power grid integration, and this paper proposes a multi-location multi-step wind speed combination prediction method based on the spatial correlation of wind speed. The correlation coefficients were determined by gray relational analysis for each turbine in the wind farm. Based on this, timing-control spatial association optimization is used for optimization and scheduling, obtaining spatial information on the typical turbine and its neighborhood information. This spatial information is reconstructed to improve the efficiency of spatial feature extraction. The reconstructed spatio-temporal information is input into a convolutional neural network with memory cells. Spatial feature extraction and multi-step real-time prediction are carried out, avoiding the problem of missing information affecting prediction accuracy. The method is innovative in terms of both efficiency and accuracy, and the prediction accuracy and generalization ability of the proposed method is verified by predicting wind speed and wind power for different wind farms.

scholarly journals Investigating the Spatial Heterogeneity and Correlation Network of Green Innovation Efficiency in China

2021 ◽  
Vol 13 (3) ◽  
pp. 1104
Author(s):  
Ke-Liang Wang ◽  
Fu-Qin Zhang
Keyword(s):  
Spatial Heterogeneity ◽  
Critical Path ◽  
Economic Value ◽  
Economic Transformation ◽  
Correlation Network ◽  
Green Innovation ◽  
Net Benefit ◽  
Network Characteristics ◽  
Four Blocks ◽  
Temporal And Spatial Characteristics

With environmental problems becoming increasingly serious worldwide, scholars’ research views on innovation have begun to pay more attention to the technological value from an ecological perspective, instead of simply analyzing the importance of technological innovation from the perspective of economic value. Currently, improving green innovation efficiency (GIE) has been considered as a critical path to realizing economic transformation and green development. Based on the global Super-Epsilon-based measure (EBM) model, Moran index, vector autoregression (VAR) model, and block model, this study investigated the temporal and spatial characteristics of GIE in 30 provinces in China from 2009 to 2017, and analyzed the spatial heterogeneity and spatial correlation network characteristics. The results showed that in spatial terms, China’s GIE presented an extremely unbalanced development model. In provinces with a higher GIE, there was an overall improvement of GIE, but there was a lower impact in provinces with a lower GIE. The efficiency of China’s green innovation could be divided into four blocks. The first block was the main overflow, the second block was the broker, the third block was the bilateral spillover, and the fourth block was the net benefit. The four blocks had their own functions, and a very significant correlation was observed among them.

scholarly journals Neuro-inspired Framework for Cognitive Manufacturing Control

2021 ◽  
Vol 16 (6) ◽  
Author(s):  
Ioan Dumitrache ◽  
Simona Iuliana Caramihai ◽  
Dragos Constantin Popescu ◽  
Mihnea Alexandru Moisescu ◽  
Ioan Stefan Sacala
Keyword(s):  
Problem Solving ◽  
Intelligent Manufacturing ◽  
Smart Manufacturing ◽  
Software Modeling ◽  
Manufacturing Enterprises ◽  
Data Flows ◽  
New Vision ◽  
Generation Mechanisms ◽  
And Behavior ◽  
High Degree

There are currently certain categories of manufacturing enterprises whose structure, organization and operating context have an extremely high degree of complexity, especially due to the way in which their various components interact and influence each other. For them, a series of paradigms have been developed, including intelligent manufacturing, smart manufacturing, cognitive manufacturing; which are based equally on information and knowledge management, management and interpretation of data flows and problem solving approaches. This work presents a new vision regarding the evolution of the future enterprise based on concepts and attributes acquired from the field of biology. Our approach addresses in a systemic manner the structural, functional, and behavioral aspects of the enterprise, seen as a complex dynamic system. In this article we are proposing an architecture and management methodology based on the human brain, where the problem solving is achieved by Perception – Memory – Learning and Behavior Generation mechanisms. In order to support the design of such an architecture and to allow a faster learning process, a software modeling and simulation platform was developed and is briefly presented.

THE INTEGRATION OF ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSIS IN A MULTI-CRITERIA DECISION-MAKING PROBLEM

2006 ◽  
Vol 05 (02) ◽  
pp. 263-276 ◽  
Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Analytical Hierarchy Process ◽  
Data Envelopment ◽  
Multi Criteria Decision Making ◽  
Analysis Model ◽  
Decision Tool ◽  
Manufacturing Enterprises ◽  
Decision Making Problem ◽  
Hierarchy Process

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.

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.

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