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 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 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 Research on the promoting effect of servitization on export technological sophistication of manufacturing enterprises

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255891
Author(s):  
Yuanhong Hu ◽  
Sheng Sun ◽  
Min Jiang ◽  
Yixin Dai
Keyword(s):  
Value Chain ◽  
Production Efficiency ◽  
Spillover Effect ◽  
Global Value Chain ◽  
Mechanism Analysis ◽  
Financial Industry ◽  
Promoting Effect ◽  
Manufacturing Enterprises ◽  
Input Source ◽  
The Impact

Based on multiple micro databases involving Chinese manufacturing enterprises and World Input-Output Database, this article investigates the impact of China’s manufacturing servitization on export technological sophistication from 2000 to 2010. The results show that manufacturing servitization has an inverted U-shaped impact on export technological sophistication. From the perspective of heterogeneity at the enterprise level and industry level, manufacturing servitization has an inverted U-shaped impact on export technological sophistication for mixed trade enterprises, central and western located enterprises, domestic and foreign enterprises, and knowledge-intensive industries, the nonlinear impact is in the promotion range. Besides, manufacturing servitization with domestic and foreign service input source has an inverted U-shaped impact on export technological sophistication, manufacturing servitization with the domestic consumption-oriented service input source and foreign production-oriented service input source have a promoting effect. Servitization with financial industry and technical research and development service source has a promoting effect, while servitization with transportation service input source has an inverted U-shaped effect. Overall global value chain participation level and simple global value chain participation have a positive moderating effect on the impact, especially for enterprises with lower production efficiency. Mechanism analysis confirms that the "spillover" effect and "cost" effect are important channels for manufacturing servitization to promote export technological sophistication.

The Drivers and Path of High-End Oriented Development in Electronic Information Manufacturing Industry under Modularity Perspective

2012 ◽  
Vol 263-266 ◽  
pp. 3188-3193 ◽  
Author(s):  
Chun You Li ◽  
Hua Hai Zhang ◽  
Xin Zhang
Keyword(s):  
Value Chain ◽  
Manufacturing Industry ◽  
Driving Forces ◽  
Synergetic Effect ◽  
Added Value ◽  
Modular System ◽  
Design Parameters ◽  
High Tech ◽  
Electronic Information ◽  
Industrial Value Chain

In this paper, the issue of high-end oriented development in electronic information manufacturing industry is discussed. Based on the view of modularity, industrial value chain and driving forces have been analyzed to understand the basic law and motivation in development process. According to ‘visible design rules’ and ‘hidden design parameters’ in the modular system, the path modal of high-end oriented development has been built, which indicates that the synergetic effect, high-tech and high added value can be obtained by building and enhancing the synergy process and technological innovation.

scholarly journals Goals and measures for analyzing power consumption data in manufacturing enterprises

2021 ◽  
Vol 3 (1) ◽  
pp. 65-82
Author(s):  
Sören Henning ◽  
Wilhelm Hasselbring ◽  
Heinz Burmester ◽  
Armin Möbius ◽  
Maik Wojcieszak
Keyword(s):  
Power Consumption ◽  
Real Time ◽  
Manufacturing Industry ◽  
Fog Computing ◽  
Electrical Power ◽  
Time Data ◽  
Manufacturing Enterprises ◽  
Computing Paradigm ◽  
Consumption Data ◽  
Analyzing Power

AbstractThe Internet of Things adoption in the manufacturing industry allows enterprises to monitor their electrical power consumption in real time and at machine level. In this paper, we follow up on such emerging opportunities for data acquisition and show that analyzing power consumption in manufacturing enterprises can serve a variety of purposes. In two industrial pilot cases, we discuss how analyzing power consumption data can serve the goals reporting, optimization, fault detection, and predictive maintenance. Accompanied by a literature review, we propose to implement the measures real-time data processing, multi-level monitoring, temporal aggregation, correlation, anomaly detection, forecasting, visualization, and alerting in software to tackle these goals. In a pilot implementation of a power consumption analytics platform, we show how our proposed measures can be implemented with a microservice-based architecture, stream processing techniques, and the fog computing paradigm. We provide the implementations as open source as well as a public show case allowing to reproduce and extend our research.

Grey relation analysis of 4S service pilot in high-end equipment manufacturing industry

2021 ◽  
pp. 1-13
Author(s):  
Chunyue Xiao ◽  
Jian Sun
Keyword(s):  
Manufacturing Industry ◽  
Relevant Literature ◽  
Competitive Advantages ◽  
Product Model ◽  
Model Framework ◽  
Manufacturing Enterprises ◽  
Customer Interaction ◽  
Cooperative Production ◽  
Equipment Manufacturing ◽  
Equipment Manufacturing Industry

Servitization has a significant impact on the upgrading and reform of the equipment manufacturing industry. From the perspective of application of high-end servitization theory in business practice of equipment manufacturing industry, based on the review of relevant literature, this paper analyzes the concept of integration delay strategy mechanism of cooperative production between enterprises and customers, and thus constructs the theoretical model framework of 4S service pilot high-end equipment manufacturing product-customer interaction experience. With the Liaoning equipment manufacturing industry as a case for quantitative analysis, the feasibility of using delay strategy in the 4S service pilot program is demonstrated, and the three-stage development plan of Liaoning 4S service pilot is outlined. The results show that: At present, in the trend of servitization of China’s equipment manufacturing enterprises, 4S service pilot high-end manufacturing product model enables equipment manufacturing enterprises to delay production time and produce according to customer orders, improve service efficiency and optimize resource allocation, and help enterprises to obtain new exclusive competitive advantages.

scholarly journals Monopoly behavior of China’s manufacturing enterprises

2019 ◽  
Vol 2 (1) ◽  
pp. 157-179
Author(s):  
Guidong Wang
Keyword(s):  
Design Methodology ◽  
Manufacturing Industry ◽  
Rent Seeking ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Slow Decline ◽  
State Capital ◽  
The Government ◽  
Do So ◽  
Initial Jump

Purpose With the increase of state capital, corporate total factor productivity (TFP) has a tendency to jump up at first and then slowly decrease. Generally, no significant “productivity paradox” can be observed in China’s manufacturing industry. With the increase of export density, corporate TFP also shows a trend of initial jump growth and subsequent slow decline. This paper aims to discuss these issues. Design/methodology/approach Using the 1996–2013 China Industrial Enterprise Database, this paper studies the monopolistic behavior of Chinese manufacturing enterprises through the measurement of TFP and corporate monopoly power. Findings Results show that China’s manufacturing monopoly enterprises are generally innovation-oriented rather than rent-seeking. However, there are certain differences between diversified types of monopoly enterprises: the ones with state capital are more inclined to innovate than those without, whereas the ones with export delivery value are more inclined to seek rent than those without. Originality/value Therefore, the government should implement differentiated policies for diversified types of monopoly enterprises, and do so in a targeted manner fully reflecting the containment of rent-seeking and the encouragement of innovation.

Research of Industrial Collaborative Manufacturing System on Based on Cloud Computing

2014 ◽  
Vol 635-637 ◽  
pp. 1866-1870
Author(s):  
Chun Xiao Wang ◽  
Ying Guo ◽  
Jun Wang ◽  
Liang Li
Keyword(s):  
Cloud Computing ◽  
Support System ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Service Model ◽  
Manufacturing Enterprises ◽  
Collaborative Manufacturing ◽  
Design Collaboration ◽  
Elastic Computing ◽  
Economic Growth Mode

This paper analyzes the main problems in informatization of china's manufacturing industry, and researches an industrial collaborative manufacturing system for large and medium-sized manufacturing enterprises taking advantage of the benefits of cloud computing such as resource integration, elastic computing, mass data, and service integration. The system includes technical support system, business support system, security system and service portal, which providing design collaboration services, production collaboration services, business collaboration services, office collaboration services for enterprises, and forming a complete standard system. This will further promote the innovation of the service model and change of economic growth mode in our country.

Popularity Brings Better Sales or Vice Versa: Evidence from Instagram and OpenTable

2021 ◽  
pp. 097215092110443
Author(s):  
Hanane Lasmi ◽  
Chul Ho Lee ◽  
Yasin Ceran
Keyword(s):  
Granger Causality ◽  
Fixed Effects ◽  
Business Performance ◽  
Spillover Effect ◽  
Restaurant Industry ◽  
Reverse Causality ◽  
Positive Effects ◽  
Verse Effect ◽  
The Impact ◽  
Panel Vector Autoregression

With the popularity of user-generated content (UGC), an increasing number of studies have investigated its impact on business performance. However, prior studies were limited to a single platform and showed the effects of UGC of a platform, for example, customer textual comments or customer numeral ratings, on sales/reservation of the same platform. In practice, users often refer to a UGC, for example, Instagram, and purchase it on other platforms. To incorporate the spillover effect, we considered the restaurant industry because it has active participation across various channels. Using topic modelling, we first identified from Instagram four topics of users’ interest regarding a restaurant, such as location, nightlife, food and celebration. From fixed effects models’ estimation, we found that (a) recommendation and mention of Instagram have positive effects, and (b) comments of location and food also have positive significant fixed effects, but (c) the impact of Instagram volume is curvilinear and positive significant effect the sales. Since the curvilinear effects may come from reverse causality, that is, higher reservation, might bring more customers and comments on social networking service (SNS) (echo verse effect in our paper). Therefore, we further analysed two-way Granger causality and panel vector autoregression to identify the endogeneity, and the results showed the existing Granger causality loop between OpenTable review and Instagram post volumes.

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