Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Reading Level
      Reading Level
      Clear All
      Reading Level
  • Content Type
      Content Type
      Clear All
      Content Type
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
      More Filters
      Clear All
      More Filters
      Item Type
    • Is Full-Text Available
    • Subject
    • Country Of Publication
    • Publisher
    • Source
    • Target Audience
    • Donor
    • Language
    • Place of Publication
    • Contributors
    • Location
12,584 result(s) for "group enterprises"
Sort by:
Research on Collaborative Innovation Mode of Enterprise Group from the Perspective of Comprehensive Innovation Management
At present, collaborative innovation has become an integral part of corporate group strategy. However, there are few collaborative innovation research pieces focusing on corporate groups. This article takes Tus-Holdings, a model enterprise in the field of science and technology services, as the research object, uses case study methods, and systematically analyzes the corporate group’s strategy, customers, R&D, management, finance, talent, and other factors from the strategic, business, and support levels under the framework of total innovation management research on the collaborative innovation model of management and the form of cooperative surplus. The research found that the collaborative innovation model is an important support for enterprise groups to build a comprehensive, collaborative innovation system; the internal collaborative innovation model of enterprise groups shows nonlinearity and diversity; collaborative surplus performance is closely related to the collaborative innovation mode, and different collaborative innovation modes will produce a different collaborative surplus. These research results have important theoretical value and practical significance for modern enterprise groups to correctly implement collaborative innovation strategy and improve the efficiency of collaborative innovation.
Service requirement conflict resolution based on ant colony optimization in group-enterprises-oriented cloud manufacturing
Cloud manufacturing (CMfg) platform for group enterprises (GE) is a kind of private CMfg, which is to integrate and optimize GE’s internal resources and capacity for large complex equipment manufacturing. The platform makes a connection between distributed and heterogeneous manufacturing resources to build a virtual pooling of resources for the group. However, it is evident that uncertainties and dynamics inherently exist in the platform and it causes manufacturing service requirement conflict among multiple projects. In order to address this issue, the management process of large complex equipment manufacturing project in GE-oriented CMfg platform is described. And next, this paper analyzes the causes and characteristic of service conflict in the platform. Then, a multi-objective mathematical model of conflict resolution is proposed. The proposed model considered both global target of shortest duration and partial target of tasks change minimization. Moreover, a method based on serial schedule generation scheme (SSGS) and ant colony optimization (ACO) algorithm is put forward to solve the model. Finally, a conflict resolution case study in a cement equipment manufacturing group enterprise is provided to illustrate the application of the proposed the model and algorithm.
Enterprise Groups and Environmental Investment Efficiency: Empirical Evidence from China’s Heavily Polluting Industries
In recent years, guided by the sustainable development strategy and ecological civilization strategy, the concept of green environmental protection has gradually become popular. Increasingly, enterprises are enhancing their environmental investment practices after recognizing the importance of environmental protection. From the perspective of enterprise groups, improving the environmental investment efficiency of enterprises is of great significance for boosting sustainable development and optimizing resource allocation. Based on a research sample of listed companies in China’s heavy pollution industry from 2003 to 2020, this paper theoretically analyzes the impact of enterprise groups on environmental investment efficiency and the corresponding influence mechanisms. This paper finds that enterprise groups play a significantly positive role in promoting environmental investment efficiency. Further research indicates that this improvement primarily stems from two key aspects: On the one hand, the capital market within the enterprise group effectively alleviates the financing constraints in environmental investment. On the other hand, environmental investment efficiency is improved by optimizing innovation resources. In addition, the study identified two important moderating factors: firm executive characteristics and the degree of regional environmental regulation. This research enriches the existing research results regarding organizational management theory and the environmental investment efficiency of enterprises and provides theoretical and empirical references for promoting sustainable socio-economic development and the green transformation of enterprises.
Technology Proximity Mechanism and Collaborative Innovation Orientation: How to Coordinate Multiple Subsidiaries’ Innovation Strategies?
Technology proximity plays a critical role in the innovation ecosystem of an enterprise group that supports subsidiaries’ collaborative innovation. To explore the technology proximity mechanism (TPM), this study identified three characteristics of the TPM, including strategical tendency, unbalanced distribution, and hierarchical convergence, and carried out an empirical research based on the adjacency matrix of the China Railway Rolling Stock Corporation (CRRC). Through the grouped quadratic assignment procedure (QAP) regression models, this study tested the hypotheses that indicate the relationship between the local proximity networks and the overall proximity network. The research findings show that the allocation of local proximity networks is significantly associated with the subsidiaries’ coordination. Management implications drawn in this study illustrate that optimizing the network structure of technology proximity is necessary for promoting stability and sustainability of the innovation ecosystem of the enterprise group.
Comprehensive evaluation on low-carbon development of coal enterprise groups
Scientifically evaluating the level of low-carbon development in terms of theoretical and practical significance is extremely important to coal enterprise groups for implementing national energy-related systems. This assessment can assist in building institutional mechanisms that are conducive for the economic development of coal business cycle and energy conservation as well as promoting the healthy development of coal enterprises to realize coal scientific development and resource utilization. First, by adopting systematic analysis method, this study builds low-carbon development evaluation index system for coal enterprise groups. Second, to determine the weight serving as guideline and criteria of the index, analytic hierarchy process (AHP) is applied using integrated linear weighted sum method to evaluate the level of low-carbon development of coal enterprise groups. Evaluation is also performed by coal enterprise groups, and the process comprises field analysis and evaluation. Finally, industrial policies are proposed regarding the development of low-carbon coal conglomerate strategies and measures. This study aims mainly to guide the low-carbon development of coal enterprise groups, solve the problem of coal mining and the destruction of ecological environment, support the conservation of raw materials and various resources, and achieve the sustainable development of the coal industry.
Research on heterogeneous data integration model of group enterprise based on cluster computing
Cluster, consisting of a group of computers, is to act as a whole system to provide users with computer resources. Each computer is a node of this cluster. Cluster computer refers to a system consisting of a complete set of computers connected to each other. With the rapid development of computer technology, cluster computing technique with high performance–cost ratio has been widely applied in distributed parallel computing. For the large-scale close data in group enterprise, a heterogeneous data integration model was built under cluster environment based on cluster computing, XML technology and ontology theory. Such model could provide users unified and transparent access interfaces. Based on cluster computing, the work has solved the heterogeneous data integration problems by means of Ontology and XML technology. Furthermore, good application effect has been achieved compared with traditional data integration model. Furthermore, it was proved that this model improved the computing capacity of system, with high performance–cost ratio. Thus, it is hoped to provide support for decision-making of enterprise managers.
Zaihoum Threshold of Credit Risk Contagion within Enterprise Groups
Liu, Y.M.; Cui, Y.Q., and Yu, B.L., 2020. Zaihoum threshold of credit risk contagion within enterprise groups. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 198–202. Coconut Creek (Florida), ISSN 0749-0208. In view of the fact that the assessment of group credit risk is more difficult and complex than that of general enterprises due to the complex and concealed relationship within the enterprise group, and that the structural relationship among the members of the enterprise group is consistent with the scale-free network structure, the mechanism of credit risk contagion within the enterprise group is analyzed by applying grey theory and probability theory under the scale-free network structure. The research shows that the contagion threshold of credit risk within an enterprise group is related to the maximum contagion capacity of the member companies within the group. The stronger the maximum contagion capacity, the smaller the contagion threshold, the more likely the credit risk is to be contagious among the members within the group. The contagion threshold of credit risk among members of a group is independent of the size of the group.