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Article
Publication date: 19 August 2011

Wenping Wang, Jiaoli Wang, Xinhuan Huang and Qiuying Shen

The purpose of this paper is to attempt to calculate the trust degree between two enterprises in an industrial network using grey correlation degree algorithm for…

Abstract

Purpose

The purpose of this paper is to attempt to calculate the trust degree between two enterprises in an industrial network using grey correlation degree algorithm for exploring characteristics of community structure and evolution rules of cluster cooperation networks in axle‐type and satellite‐type clusters.

Design/methodology/approach

Starting from analysis of trust formation mechanism of inter‐enterprise in industrial networks, adjacency of inter‐enterprise relationship, their information acquisition ability, their influence power in network and their past interaction experience are chosen as influencing factors of the trust between two enterprises. Grey correlation degree algorithm was chosen to calculate the trust degree between two enterprises in an industrial network. According to the rules of dynamic adjustment of trust degree originated from thoughts of the prisoners' dilemma model, computer simulation is applied to explore characteristics of community structure and evolution rules of cluster cooperation network in axle‐type and satellite‐type clusters.

Findings

With the dynamic adjustment of enterprises' trust degree, the network density of axle‐type and satellite‐type cluster networks was decreasing as the cluster scale was enlarging, and eventually tended to be stable; community structure was emerged in axle‐type and satellite‐type industrial clusters as the cluster scale was enlarging; community characteristics were obviously stronger in axle‐type cluster networks than in satellite‐type; communities were overlapped in axle‐type cluster networks, that is, bridge nodes emerged between communities.

Originality/value

This paper is the first to apply the grey correlation degree algorithm to calculate the trust degree between two enterprises in cluster networks for designing the rules of dynamic adjustment of trust degree.

Details

Grey Systems: Theory and Application, vol. 1 no. 2
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 22 April 2022

Yongcong Luo, Jianzhuang Zheng and Jing Ma

The focus of industrial cluster innovation lies in the cooperation between enterprises and universities/scientific research institutes to make a theoretical breakthrough…

Abstract

Purpose

The focus of industrial cluster innovation lies in the cooperation between enterprises and universities/scientific research institutes to make a theoretical breakthrough in the system and mechanism of industrial cluster network. Under the theoretical framework of cluster network, industrial structure can be optimized and upgraded, and enterprise benefit can be improved. Facing the increasing proliferation and multi-structured enterprise data, how to obtain potential and high-quality innovation features will determine the ability of industrial cluster network innovation, as well as the paper aims to discuss these issues.

Design/methodology/approach

Based on complex network theory and machine learning method, this paper constructs the structure of “three-layer coupling network” (TLCN), predicts the innovation features of industrial clusters and focuses on the theoretical basis of industrial cluster network innovation model. This paper comprehensively uses intelligent information processing technologies such as network parameters and neural network to predict and analyze the industrial cluster data.

Findings

From the analysis of the experimental results, the authors obtain five innovative features (policy strength, cooperation, research and development investment, centrality and geographical position) that help to improve the ability of industrial clusters, and give corresponding optimization strategy suggestions according to the result analysis.

Originality/value

Building a TLCN structure of industrial clusters. Exploring the innovation features of industrial clusters. Establishing the analysis paradigm of machine learning method to predict the innovation features of industrial clusters.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 21 January 2022

Chao Yu, Tao Wang and Xin Gu

Collective reputation cognition is an enterprise's perception of the general rules of reputation evaluation, jointly formed by a network's collective members. It affects…

Abstract

Purpose

Collective reputation cognition is an enterprise's perception of the general rules of reputation evaluation, jointly formed by a network's collective members. It affects the choice of enterprises' innovation behavior and guides enterprises to occupy a dominant position in the innovation network, thus achieving high innovation performance. In this process, it is inseparable from the enterprise's good network competence. This study attempts to bring collective reputation cognition, network competence and innovation performance into the same framework and aims to explore the relationship among them and determine the influential roles of collective reputation perception and network capability on innovation performance.

Design/methodology/approach

This study uses 227 Chinese enterprises in the innovation network as samples and applies partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to explore the questions mentioned above.

Findings

The results verify the relationship among collective reputation cognition, network competence and innovation performance. Furthermore, the results yield five paths that lead to high innovation performance, such as “putting ability first” and “both fame and competence”, which are different combinations of collective reputation cognition and network competence.

Originality/value

Based on institutional theory, this study considers the network context and identifies “collective reputation cognition” as a key variable. Meanwhile, it opens the “black box” of the mechanism of reputation's influence on innovation performance and finds that the combined paths of collective reputation cognition and network competence achieve high performance in terms of innovation.

Details

Management Decision, vol. 60 no. 3
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 7 January 2019

Dehui Li, Libo Fan and Zhenning Yang

Although the importance of network embeddedness attracted much attention in recent years, the interpretations of the underlying mechanism almost focus on the positive…

Abstract

Purpose

Although the importance of network embeddedness attracted much attention in recent years, the interpretations of the underlying mechanism almost focus on the positive effects and neglect the potential negative aspects. This paper aims to use Chinese listed manufacturing enterprises, in the perspective of network embeddedness, to analyze whether resource curse effects exist in strategic networks of enterprises.

Design/methodology/approach

This paper examines the resource curse effect that exists in enterprise networks through analysis of enterprise’s total factors productivity compared with those of its industry peers with different degrees of embeddedness. This paper then uses several different methods, such as clustered fixed and random effect model, core and peripheral model, and generalized method of moments estimation in endogenous checks, to detect network curse effects and reveal three potential mechanisms, including overinvestment, extra maintaining cost and innovation extrusion.

Findings

This paper finds that excessive network embeddedness hinders continuous improvement of productivity, which is derived from three mechanisms: excessive network embeddedness makes information redundancy among enterprises, and the imitate-follow effect makes excessive investment seriously; enterprises have to encounter more problems and difficulties, such as information coordination and benefit negotiation, to maintain network relationship, which leads to extra cost; enterprises with abundant network resources may tend to more emphasis on marketable operational abilities, resulting in resource decentralization and less investment on innovation, which is finally not beneficial to productivity improvement in the long run.

Originality/value

Compared with previous literatures, this paper not only enriches the understanding of negative mechanisms in enterprise`s network embeddedness, but also unfolds the inconsistency of network embeddedness effects in practice and finds new evidence that the two types of network embeddedness are consistent in certain circumstances.

Details

Nankai Business Review International, vol. 10 no. 1
Type: Research Article
ISSN: 2040-8749

Keywords

Article
Publication date: 1 May 2007

Juan José Alfaro Saiz, Angel Ortiz Bas and Raúl Rodríguez Rodríguez

The purpose of this research paper is to present a performance measurement system for enterprise networks (PMS‐EN) developed within the context of a European project's context.

3157

Abstract

Purpose

The purpose of this research paper is to present a performance measurement system for enterprise networks (PMS‐EN) developed within the context of a European project's context.

Design/methodology/approach

This research follows a constructivist approach, based on the following activities: recompilation, analysis and study of scientific knowledge, acquisition of main postulates and construction of initial framework.

Findings

This paper describes a performance measurement system called PMS‐EN that can be used for managing performance in the enterprise networks context. After analysing different frameworks relating to such a thematic, and once their main weaknesses were identified, it was decided to develop a PMS that will overcome these difficulties and, at the same time, provide enterprises operating within these environments, with a simple, efficient, robust and useful framework.

Research limitations/implications

This PMS has been built upon the framework called PMS IE‐GIP, but thought could be given to building it upon other frameworks existing within the literature.

Practical implications

Even though this proposal has been successfully applied to an enterprises network, it should be tested further by implementing it to other enterprises networks, with the main objective of enriching and extending it to other sectors.

Originality/value

This paper has described a new performance measurement system called PMS‐EN that can be used for managing performance in the enterprise networks context. It provides enterprises operating in this context a simple, efficient, robust and useful framework. Additionally, it is an efficient and effective tool for creating, managing and monitoring performance measures, in an analytical and graphical way, at both global and individual levels of the enterprise networks, which is lacking in most of the existing frameworks.

Details

International Journal of Productivity and Performance Management, vol. 56 no. 4
Type: Research Article
ISSN: 1741-0401

Keywords

Book part
Publication date: 13 December 2017

Qiongwei Ye and Baojun Ma

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and…

Abstract

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

Details

Internet+ and Electronic Business in China: Innovation and Applications
Type: Book
ISBN: 978-1-78743-115-7

Article
Publication date: 24 March 2022

Yunqi Chen, Yusen Xu and Qingguo Zhai

A corporate university is a knowledge management institution established within an enterprise. The purpose of this paper is to investigate the evolution of knowledge…

Abstract

Purpose

A corporate university is a knowledge management institution established within an enterprise. The purpose of this paper is to investigate the evolution of knowledge activities of corporate university and their relationship, particularly the role of networking in the knowledge management.

Design/methodology/approach

Haier, which had the earliest Chinese corporate university in the science and technology manufacturing industry, was employed as a case study. Data were collected by interviews and through consulting the documents of Haier’s corporate university. Grounded theory was used for data analysis.

Findings

The paper finds that corporate universities are engaged in three kinds of activities, namely, enterprise operational knowledge transfer, networking activities and scientific and technological activities. There is a dynamic circular relationship among these three kinds of activities, which form a “figure of eight” cycle model. Networking activities are the hub between enterprise operational knowledge transfer and scientific and technological activities. There is a two-way integration of enterprise operational knowledge transfer and science and technological activities via networking activities. Networking activities, thus, play a key role in the development of corporate universities into knowledge management centers. The scope of the key activities of corporate universities is dynamic and expanding. The double circulation effect among key activities in corporate universities has strengthened over time.

Originality/value

By investigating the dynamic nature of the activities of corporate universities, particularly the role of networking in knowledge management, this research enriches the study of the knowledge management of corporate universities.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 25 January 2021

Michael Omeke, Pascal Ngoboka, Isaac Nabeta Nkote and Isaac Kayongo

Enterprise growth drives competitiveness, innovations, employment creation, income generation and social inclusion in societies. The purpose of this paper is to examine…

Abstract

Purpose

Enterprise growth drives competitiveness, innovations, employment creation, income generation and social inclusion in societies. The purpose of this paper is to examine the mediating effect of networking on the relationship between dynamic capabilities and enterprise growth of financial cooperatives.

Design/methodology/approach

This is a cross-sectional survey and quantitative study of 269 financial cooperatives based on structural equation modelling and bootstrapping techniques analysis.

Findings

The results reveal that dynamic capabilities are vital in promoting the growth of financial cooperatives. In addition, networking partially enhances the contribution of dynamic capabilities to the growth of financial cooperatives. Therefore, dynamic capabilities and networking play a key role in promoting the growth of financial cooperative enterprises.

Research limitations/implications

This was a cross-sectional survey. It did not trace the changes in behavioural and attitudinal aspects of enterprise growth over time. A longitudinal approach is recommended.

Practical implications

It is imperative that managers of financial cooperatives enhance their coordination, learning and competitive response capabilities through consultation, exchange and sharing of information among staff and other stakeholders, to increase the membership, capital and income volumes, depicting growth of financial cooperatives.

Originality/value

This study provides an insight on the mediating effect of networking on the enterprise growth of financial cooperatives in developing countries founded on networks theoretical framework. Unlike previous studies that modelled direct relationship of enterprise growth.

Details

World Journal of Entrepreneurship, Management and Sustainable Development, vol. 17 no. 1
Type: Research Article
ISSN: 2042-5961

Keywords

Article
Publication date: 11 February 2021

Hardo Firmana Given Grace Manik, Nurul Indarti and Andy Susilo Lukito-Budi

This study aims to examine the moderating effect of firm age and size on the relationship between network characteristics (network centrality, network density and tie…

Abstract

Purpose

This study aims to examine the moderating effect of firm age and size on the relationship between network characteristics (network centrality, network density and tie strength) and firm performance. This study also aims to investigate the difference in the effect of network characteristics on the firm performance of Javanese and Minang ethnic enterprises.

Design/methodology/approach

An explanatory research design was adopted, which involved a survey in the form of a structured questionnaire of target owners and managers of 34 Javanese ethnic enterprises in North Sumatra, Indonesia and 100 Minang ethnic enterprises in Yogyakarta, Central Java, Jakarta and Bogor, Indonesia. The data is analysed using structural equation modelling.

Findings

The findings of this study confirm resource dependency and social capital theory. Network centrality, network density and tie strength have a significant effect on firm performance. The results also show support for the moderating role of firm age on the relationship between network characteristics and firm performance. The moderating role of firm size is not supported. The comparative test of the influence of the three network characteristics on ethnic enterprise performance confirms that Javanese ethnic enterprises have identity-based networks, while Minang ethnic enterprises use calculative-based networks.

Originality/value

The originality of this study lies in the investigation of the role of family and external partners in the running of ethnic enterprises at start-up and during the growth phase. The definition of “family” is based on a kinship perspective due to the specificity of Asian cultures, particularly in Indonesia. Of the hundreds of tribes in Indonesia, the Javanese and Minang were chosen because both are well-known as entrepreneurial tribes, have unique cultural values and have active migrants to other provinces.

Details

Journal of Enterprising Communities: People and Places in the Global Economy, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6204

Keywords

Article
Publication date: 24 May 2013

Rong‐ying Zhao and Bi‐kun Chen

An enterprise social network (ESN) is part of the landscape of information reform by enterprises, using Web 2.0. In terms of the marketing targets of typical Web 2.0

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Abstract

Purpose

An enterprise social network (ESN) is part of the landscape of information reform by enterprises, using Web 2.0. In terms of the marketing targets of typical Web 2.0 techniques, enterprise knowledge sharing in Web 2.0 can be classified into different types (individual interaction type, group interaction type, social interaction type, real‐time interaction type and delay interaction type). The purpose of this paper is to summarize the features and modes of different enterprises' knowledge sharing and study enterprise knowledge sharing quantitatively from an ESN perspective by selecting real‐time interaction type as the case.

Design/methodology/approach

Because of the area of research, the authors supplemented social network analysis (SNA) with a mathematical modeling method and additional in‐depth interviews.

Findings

The Web 2.0 era provides the opportunity to quantify knowledge sharing. Also, SNA can quantitatively and visually diagnose the knowledge sharing status of the enterprise and guide the enterprise's knowledge‐sharing process.

Research limitations/implications

Only a case study regarding real‐time interaction type is presented; other types of interaction are not studied empirically.

Practical implications

SNA, combined with a mathematical modeling method and additional in‐depth interviews with team leaders or key managers in organizations, can diagnose quantitatively, visually and comprehensively the knowledge‐sharing status of the enterprise.

Originality/value

This paper systematically summarizes the features and modes of Web 2.0 enterprise knowledge sharing, and the multiple‐method research design represents a sound approach to targeting enterprise knowledge sharing.

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