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Article
Publication date: 14 May 2018

Dan Zhang, Ching-Hsin Wang, Dengpan Zheng and Xianyun Yu

The purpose of this paper is to extend prior supply chain research by describing the process of innovation knowledge increase in supply chain network. More specifically, this…

Abstract

Purpose

The purpose of this paper is to extend prior supply chain research by describing the process of innovation knowledge increase in supply chain network. More specifically, this study investigates the role of network density, and views the knowledge increase as the process of knowledge diffusion and knowledge innovation.

Design/methodology/approach

A multi-agent model, which demonstrates the process of knowledge increase in supply chain network, was established, and simulated by using NetLogo simulation platform.

Findings

The results indicate that the network density will promote the knowledge increase of the supply chain when it is high or low. In the meantime, these results show that the inhibition of knowledge diffusion and knowledge innovation will appear when network density is moderate.

Originality/value

Although previous research has identified the importance of knowledge increase in promoting sustainable development of supply chain, far less attention was given to the study of the effect of network structure on the knowledge increase in supply chain. This study thus fulfills the research gap by providing a description of the process of knowledge increase with the consideration of network density. The conclusion is of great significance for the choice of network density for sustainable development of supply chain.

Details

Industrial Management & Data Systems, vol. 118 no. 4
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 15 May 2017

Dan Zhang, Shengxiao Li and Dengpan Zheng

The purpose of this paper is to examine how knowledge search (KS) affects open innovation performance (OIP) in consideration of appropriability hazard in an emerging market…

1184

Abstract

Purpose

The purpose of this paper is to examine how knowledge search (KS) affects open innovation performance (OIP) in consideration of appropriability hazard in an emerging market context.

Design/methodology/approach

The authors identify two types of appropriability hazard related to KS activities in the improvement of OIP: partner-related and market-related hazards, and construct a model of KS to the OIP with the government-enterprise relationship and market focus (MF) as moderating factors of the analysis framework, using the hierarchical regression analysis based on a survey sample of 258 Chinese companies.

Findings

The authors find that KS has a stronger positive relationship with OIP in international market-focused enterprises compared with domestic market-focused enterprises. In addition, using a configuration approach, the authors find that KS is more positively related to OIP when enterprises have an international MF and a good relationship with the government, but less in other MF government and enterprises relationship configurations.

Originality/value

This paper contributes to previous research work by identifying two types of appropriability hazard related to KS activities in emerging market countries: partner-related and market-related hazards. The authors argue that a positive relationship between KS and OIP is more likely to occur if these appropriability hazards can be mitigated by export MF and a good relationship with the government which has not been demonstrated in previous research.

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