Relevant bibliographies by topics / Industrial synergistic network

Academic literature on the topic 'Industrial synergistic network'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Industrial synergistic network"

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Alona Hrebennikova, Liudmyla Artemchuk, Vitalii Nahornyi, Nadiia Daliak, and Olha Ruban. "Assessment of the Network Interaction Synergistic Effect According to the Organization Life Cycle." Journal of Eastern European and Central Asian Research (JEECAR) 8, no. 3 (August 28, 2021): 311–23. http://dx.doi.org/10.15549/jeecar.v8i3.754.

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The article's purpose was to econometric substantiate the peculiarities of achieving a synergistic effect and sources of economies of scale for participants in entrepreneurial networks, for example, industrial enterprises in Ukraine. The regression analysis method has been used to identify sources of economies of scale of production, which change affects the efficiency of enterprises. With the elasticity coefficient, the features of the manifestation of the effect of economies of scale for 106 network and non-network enterprises were determined, taking into account the organizational life cycle of the development. It was revealed that, despite the ephemeral nature of the economies of scale, network enterprises are characterized by longer nature as a component of the synergistic effect of production activities and a decrease in costs, regardless of the development cycle of the organization. The results obtained can be useful as a basis for strategic planning in business integration.
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ANDREY E., PLAKHIN, KOCHERGINA TATIANA V., and SELEZNEVA MARIA V. "DIRECTED ALLOCATION OF INCOME ASYMMETRY AS A METHOD OF INDUSTRIAL ECOSYSTEM MANAGEMENT." Scientific Works of the Free Economic Society of Russia 234, no. 2 (2022): 154–76. http://dx.doi.org/10.38197/2072-2060-2022-234-2-154-176.

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The relevance of the study is due to the gradual replacement of hierarchical integration structures with network ones, which allows participants to form additional synergistic effects. This trend requires the development of new management methods for complex polysubject formations that unite diverse participants. The purpose of the article is to substantiate the methodology of adaptive management of industrial ecosystems, through the directed distribution of income generated by additional synergistic effects. The research methodology is based on the model of performance index normalization, which allows the subject of management to set the priority and levels of change in the income of participants in the integration network structure. The results of the study make it possible to assess the structure and dynamics of the income allocation of the integrative structure participants, to draw a conclusion about the distribution of income received through synergistic effects with a obvious asymmetry. The obtained results of ranking the change in the share of income based on the parameter of measuring the increase in the share of income made it possible to compare the existing values with the reference ranking of the increase in income within the framework of compliance with two strategic vectors for the development of integrative structures: commercial feasibility and development of the territory.
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Zhang, Hui, Jin-Biao Yi, and Qian Wang. "Research on the Collaborative Evolution of Blockchain Industry Ecosystems in Terms of Value Co-Creation." Sustainability 13, no. 21 (October 20, 2021): 11567. http://dx.doi.org/10.3390/su132111567.

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The formation of blockchain industrial ecology can help improve the open and efficient value synergy network, and this paper seeks to clarify the value relationship among industrial units and the trend of synergistic evolution of blockchain industrial ecosystem. Based on value co-creation theory, the blockchain industrial ecosystem synergy evolution process is analyzed, and the composite system synergy model is used to empirically investigate the evolution synergy of China’s blockchain industrial ecosystem from 2015 to 2020. The results show that: although the development level of China’s blockchain industry ecosystem continues to improve, it is still at a low level, and the policy-driven effect is obvious. There is a large disparity in the orderliness level of each subsystem of the blockchain industry ecosystem, and the industrial integration and application implementation are in a good situation, while the blockchain enterprises, located in the value pivot subsystem, are in a relatively tough position, and China’s blockchain industry ecosystem is overall in a state of reconciliation and has not yet formed a synergistic effect. Handling the synergistic relationship between the government, the market and other value-supporting units, and blockchain enterprises is the top priority for further promoting the synergistic evolution of the blockchain industry ecosystem.
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Pham, D. T., and S. Sagiroglu. "Synergistic Neural Models of a Robot Sensor for Part Orientation Detection." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 210, no. 1 (February 1996): 69–76. http://dx.doi.org/10.1243/pime_proc_1996_210_087_02.

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This paper describes the use of neural networks to compute the orientation of a part from the output signals of an inertial sensor which is a device for determining the location of parts by measuring their inertial parameters. The paper investigates an approach for increasing the accuracy of the computed orientation. This involves employing a group of neural networks and combining their outputs. The paper presents the results obtained for several neural network combinations. These show that the accuracy achieved in a combined system is higher than that of its individual components provided the number of components is not too large.
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Gumerov, Emil A., and Tamara V. Alekseeva. "Development of the blockchain architecture of the Industrial Internet of Things system of the enterprise." Journal Of Applied Informatics 16, no. 95 (October 29, 2021): 16–32. http://dx.doi.org/10.37791/2687-0649-2021-16-5-16-32.

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The development of the digital economy in the modern world requires solving the issue of security of Industrial Internet of Things (IIoT) applications. A large number of distributed, network-based, IIoT devices managed by intelligent programs (software agents) require protection. A successful attack on any IIoT device will lead to hacking of the IIoT application and to large financial losses, as well as to the termination of the IIoT application, therefore, the research topic is relevant. The purpose of this article is to radically solve the security problem of the IIoT application by developing a blockchain architecture of the application. The authors were tasked with investigating all aspects of the blockchain system that ensure the security of IIoT application devices. The peculiarity of the blockchain system is that its participants are software agents that control the application devices. As a result of the research, the concept of the blockchain architecture of the IIoT application is proposed. He mechanisms of consensus of intelligent programs of IIoT devices as equal active participants of the blockchain network are investigated. The consensus mechanism and the cryptographic system of the distributed registry of the blockchain network increase the information security of the IIoT application. The synergistic effect of the blockchain system and intelligent systems of software agents of IIoT application devices significantly increases the efficiency of the solution. Intelligent systems of software agents and IIoT applications are effectively trained on the blockchain platform, and as a result, we get a decentralized supercomputer in the form of a blockchain system.
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Yang, Zhenshan, Shuying Zhang, Jiaming Liu, and Huijuan Sun. "Network of Tourism–Industrial Complex in Cities: Typologies and Implications through a Critical Literature Review." International Journal of Environmental Research and Public Health 19, no. 9 (April 19, 2022): 4934. http://dx.doi.org/10.3390/ijerph19094934.

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Although tourism has increasingly become an important activity with wide influences on the economic, social, and spatial development of a city, knowledge and interest mostly remain on its industrial performance and promotion. The synergy between tourism and city development is largely overlooked in many cases, resulting in suboptimal design and planning of city tourism activities and unfledged potentials of city development. The aim of the paper is to propose a view of tourism–industrial complex based on a synergistic perspective in order to clarify the systematic characteristics of urban tourism in an integrated, sustainable manner. Availing of bibliometric methods and drawing on city/urban tourism literature, this paper proposes a concept of tourism–industrial complex to cover current complicated and various tourism activities that are embedded in cities at diverse levels regardless of social, economic, and spatial factors. Then, four types of tourism–industrial complexes are proposed, including demand-driven, resource-dependent, externally forced, and hybrid-driven models. Due to the networked connectivity of urban tourism, urban backgrounds, tourism industry, and external circumstances all contribute to a coupling the tourism city development system. The results provide theoretical constructs and policy recommendations for optimization and sustainable city and tourism development.
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Slobodian, Petr, Pavel Riha, Robert Olejnik, and Jiri Matyas. "Effect of pre-strain and KMnO4 oxidation of carbon nanotubes embedded in polyurethane on strain dependent electrical resistance of the composite." Sensor Review 38, no. 2 (March 19, 2018): 163–70. http://dx.doi.org/10.1108/sr-05-2017-0079.

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Purpose The synergistic effect of functionalization of multi-walled carbon nanotubes (CNT) using KMnO4 oxidation and initial tensile deformation on the electrical resistance of nanotube network/polyurethane composite subjected to elongation was studied. Design/methodology/approach Though the initial deformation irreversibly changed the arrangement of carbon nanotube network, subsequent cyclic elongation confirmed stable resistance values. The increased strain-dependent resistance of stimulated nanotube network/polyurethane composite was demonstrated by monitoring vibration of tambour leather after a bead impact and finger flexion. Findings The results showed a tenfold composite resistance increase for the composite prepared from KMnO4 oxidized nanotubes, quantified by a so-called gauge factor, from a value of about 20 in comparison to the network prepared from pristine nanotubes. This is a substantial increase, which ranks the stimulated composite among materials with the highest electromechanical response. Originality/value The results in this paper are new and have not been published yet. The paper combines different ideas which are developed together. It presents a new concept of synergistic effect of CNT oxidation and application of pre-strain simulation. Oxidation and pre-strain increases by several times the sensitivity of the tested composites which are predetermined for use as strain sensors of various sizes and shapes.
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Xie, Xiaoyi, and Peiji Shi. "Dynamic Evolution and Collaborative Development Model of Urban Agglomeration in Hexi Corridor from the Perspective of Economic Flow." Land 12, no. 2 (January 18, 2023): 274. http://dx.doi.org/10.3390/land12020274.

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Under the green goals of the carbon peak and carbon neutrality, understanding how to develop the economy with high quality is an important issue facing regional development. Based on the years 2000, 2010, and 2020, this paper studies the industrial function connection path and economic network characteristics of the Hexi Corridor through an urban flow model, dominant flow analysis, modified gravity model, and social network analysis method, and puts forward an economic synergistic development model. It is of great significance to strengthen the urban connection in the Hexi Corridor and give full play to the overall competitive advantage. The results are as follows. (1) The overall function of the urban agglomeration is weak, the outward function of manufacturing is outstanding, the complementary network is highly complicated and evolving, and the environment and public service and tourism industry have apparent advantages. (2) The backbone correlation axes of the “three industries” show the characteristics of a closed triangular connection, dual-core linkage development, and multi-center multi-axis interaction. (3) The economic network has a greater agglomeration effect than diffusion effect, with prominent grouping characteristics, forming a network structure of “one man, three vices, and many nodes” and a significant spatial proximity effect. (4) Based on geographical proximity, the “one axis, four circles, multiple points, and multiple channels” synergistic development model, which breaks administrative barriers, becomes the endogenous driving force for the evolution of the economic network.
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Lütje, Anna, and Volker Wohlgemuth. "Tracking Sustainability Targets with Quantitative Indicator Systems for Performance Measurement of Industrial Symbiosis in Industrial Parks." Administrative Sciences 10, no. 1 (January 8, 2020): 3. http://dx.doi.org/10.3390/admsci10010003.

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Industrial Symbiosis (IS) is a systematic and collective (business) approach to optimizing the use of materials and energy among cross-sectoral industries in order to initiate and exhaust extended cascading systems; it is associated with (synergistic) environmental, technical, social, and economic benefits. For monitoring and controlling the development and progress of an IS system, an indicator system must be set up to standardize and assess the IS (sustainability) performance. This study aims to present a quantitative indicator system to enable the tracking of set sustainability targets of an IS system in Industrial Parks (IPs) for goal-directed IS management. The presented guiding framework encourages IP members in IS systems to set sustainability objectives and to evaluate and track their performance over time with a quantitative indicator system. In particular, established and (partly) internationally standardized methods—such as Material Flow Analysis (MFA), Material Flow Cost Accounting (MFCA), Social Network Analysis (SNA), and Life Cycle Assessment (LCA)—are used in order to place the indicator system on a solid and robust foundation and to adequately meet the multi-faceted sustainability perspectives in the form of a combinatorial application for deriving suitable quantitative indicators for all three (environmental, economic, social) dimensions of sustainability. The indicator system, once embedded in an Information Technology (IT)-supported IS tool, contributes crucially to the technology-enabled environment of IS systems, driving sustainability trajectories.
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Yan, Wenjia, Lijun Yin, Jinlong Li, Madhav P. Yadav, and Xin Jia. "Development of Corn Fiber Gum–Soybean Protein Isolate Double Network Hydrogels Through Synergistic Gelation." Food and Bioprocess Technology 13, no. 3 (February 15, 2020): 511–21. http://dx.doi.org/10.1007/s11947-020-02412-1.

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Book chapters on the topic "Industrial synergistic network"

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Zhao, Jingyuan. "Regional Innovation Pattern." In Technology Adoption and Social Issues, 540–59. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5201-7.ch023.

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Beijing biopharmaceutical industrial base are currently still in its infancy, innovation network and collaborative innovation system within pharmaceutical industrial clusters still have many problems, and cluster-based technology innovation mechanism and pattern needs further exploration. This study focuses on Beijing pharmaceutical industry clusters, and industry cluster theory, learning theory, and regional innovation system theory apply to the practice of Beijing pharmaceutical industrial bases. The study discusses on the related concepts of technology learning, and establishes a technology learning network among industry clusters, and presents a technological learning system under the cluster network on the basis of existing learning theory. According to characteristics of biopharmaceutical industry, the study develops a basic framework of regional innovation for biopharmaceutical industry clusters, and proposes synergistic development strategies of Beijing north and south pharmaceutical industry clusters.
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Zhao, Jingyuan. "Regional Innovation Pattern." In Comparative Approaches to Biotechnology Development and Use in Developed and Emerging Nations, 440–64. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1040-6.ch015.

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Beijing biopharmaceutical industrial base are currently still in its infancy, innovation network and collaborative innovation system within pharmaceutical industrial clusters still have many problems, and cluster-based technology innovation mechanism and pattern needs further exploration. This study focuses on Beijing pharmaceutical industry clusters, and industry cluster theory, learning theory, and regional innovation system theory apply to the practice of Beijing pharmaceutical industrial bases. The study discusses on the related concepts of technology learning, and establishes a technology learning network among industry clusters, and presents a technological learning system under the cluster network on the basis of existing learning theory. According to characteristics of biopharmaceutical industry, the study develops a basic framework of regional innovation for biopharmaceutical industry clusters, and proposes synergistic development strategies of Beijing north and south pharmaceutical industry clusters.
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Conference papers on the topic "Industrial synergistic network"

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Hongzhao Dong, Ning Chen, and Hui Wang. "Area Industrial Networked Manufacturing Based on Synergistic Effect Coupled with Its Cooperation-level Analyses." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1714386.

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