The Impact of Collaborative Innovation Competence on Enterprises' Innovation Performance in Supply Chain Networks

2019 ◽  
Author(s):  
Changfeng Wang ◽  
Yishang Yin
Keyword(s):  
Supply Chain ◽  
Innovation Performance ◽  
Supply Chain Networks ◽  
Collaborative Innovation ◽  
Innovation Competence ◽  
The Impact

The impact of supply chain relationship quality on knowledge sharing and innovation performance: evidence from Chinese manufacturing industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gang Li
Keyword(s):  
Supply Chain ◽  
Knowledge Sharing ◽  
Relationship Quality ◽  
Tacit Knowledge ◽  
Innovation Performance ◽  
Content Type ◽  
Collaborative Innovation ◽  
Tacit Knowledge Sharing ◽  
The Impact ◽  
Positive Effect

Purpose This study aims to investigate the impact mechanism of supply chain relationship quality on knowledge sharing and firms’ innovation performance during supply chain collaborative innovation. Design/methodology/approach A conceptual model linking supply chain relationship quality, knowledge sharing and firms’ innovation performance is developed, and the hypotheses of the relationships among them are proposed. To test these hypotheses with structural equation modeling, this study conducts a survey of 287 Chinese manufacturing firms that carried out collaborative innovation with supply chain partners. Findings Supply chain relationship quality has a significant positive effect on tacit knowledge sharing but its positive effect on explicit knowledge sharing is not significant. Both explicit and tacit knowledge sharing across supply chain enterprises positively influence firms’ innovation performance. Supply chain relationship quality influences firms’ innovation performance directly as well as indirectly through the mediating roles of explicit and tacit knowledge sharing. Originality/value This study provides empirical evidence of supply chain relationship quality’s direct and indirect effects through explicit and tacit knowledge sharing on firms’ innovation performance. This study also provides supply chain practitioners with better understanding of the importance of developing relationship quality and knowledge sharing across supply chain as they are positively associated with firms’ innovation performance.

scholarly journals A Model for understanding supply chain networks

2005 ◽  
Vol 5 (2) ◽  
pp. 55-63 ◽  
Author(s):  
Carlos Brito ◽  
Catarina Roseira
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Supply Management ◽  
Organisational Performance ◽  
Supplier Relationships ◽  
Supply Chain Networks ◽  
The Impact ◽  
The Way

Organisational performance tends to be highly dependent on suppliers' actions and on the way the relationships with them are managed by the buying company. Researchers have conducted extensive and valuable studies on the impact of supplier relationships in a network context. However, some important issues regarding supply management and its effects on the strategy of the buying firm have not been fully investigated. This article presents a model of supply chain networks developed on the basis of the conceptual framework of the IMP group. The aim is to contribute toward a better understanding of supply management through the integration of both relational, portfolio and network issues.

Quantitative Risk Management Models for Newsvendor Supply Chains

2011 ◽  
pp. 155-170
Author(s):  
Dimitrios Vlachos
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Stochastic Environment ◽  
Supply Chain Disruptions ◽  
Supply Chain Networks ◽  
Starting Point ◽  
The Impact ◽  
A Company

As the practices of offshoring and outsourcing force the supply chain networks to keep on expanding geographically in the globalised environment, the logistics processes are becoming more exposed to risk and disruptions. Thus, modern supply chains seem to be more vulnerable than ever. It is clear that efficient logistics risk and security management emerges as an issue of pivotal importance in such competitive, demanding and stochastic environment and is thus vital for the viability and profitability of a company. In this context, this chapter focuses on a set of stochastic quantitative models that study the impact of one or more supply chain disruptions on optimal determination of single period inventory control policies. The purpose of this research is to provide a critical review of state-of-the-art methodologies to be used as a starting point for further research efforts.

The impact of supply chain fit on business and innovation performance in Brazilian companies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ricardo Zimmermann ◽  
Luis Miguel D.F. Ferreira ◽  
Antonio Carrizo Moreira ◽  
Ana Cristina Barros ◽  
Henrique Luiz Correa
Keyword(s):  
Supply Chain ◽  
Business Performance ◽  
Demand Uncertainty ◽  
Supply And Demand ◽  
Empirical Studies ◽  
Innovation Performance ◽  
Manufacturing Companies ◽  
Content Type ◽  
The Impact ◽  
Positive Effect

PurposeThis paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies.Design/methodology/approachThe study presented an analysis carried out on an empirical study based on a sample of 150 manufacturing companies. Business and innovation performance of companies with different types of SC fit ( high–high and low–low fits) and misfit (positive and negative) are compared and discussed.FindingsThe results indicated that SC fit had a positive effect on both business and innovation performance. Further analyses suggested that companies with SC fit present similar business performance, independent of the level of SDU that characterizes the environment where they compete, while companies in environments with higher levels of uncertainty tend to present superior innovation performance. Companies with positive and negative misfit present similar performance.Originality/valueAn analysis of the literature showed that there is no consensus when it comes to the definitions and measurements of SC fit. The paper investigates the effects of SC fit on business and innovation performance, while previous empirical studies have mainly addressed its impact on financial performance. Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in Brazilian manufacturing companies, analyzing the context of an under-researched reality.

scholarly journals Quantifying the Impact of Feedstock Quality on the Design of Bioenergy Supply Chain Networks

Energies ◽  
2016 ◽  
Vol 9 (3) ◽  
pp. 203 ◽  
Author(s):  
Krystel Castillo-Villar ◽  
Hertwin Minor-Popocatl ◽  
Erin Webb
Keyword(s):  
Supply Chain ◽  
Supply Chain Networks ◽  
Feedstock Quality ◽  
The Impact

Knowledge sharing in the construction supply chain: collaborative innovation activities and BIM application on innovation performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qiao Shi ◽  
Qiankun Wang ◽  
Zeng Guo
Keyword(s):  
Supply Chain ◽  
Knowledge Sharing ◽  
Tacit Knowledge ◽  
Explicit Knowledge ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Content Type ◽  
Innovation Activities ◽  
Collaborative Innovation ◽  
Tacit Knowledge Sharing

PurposeThis paper aimed to examine the role of knowledge sharing among member enterprises between collaborative innovation activities and innovation performance and between building information modeling (BIM) application and innovation performance in the construction supply chain.Design/methodology/approachThe structural equation model was used in this study. First, the hypothesis of the relationship between collaborative innovation activities, BIM application, knowledge sharing and innovation performance in the construction supply chain was proposed based on experience; then, the research data were collected by investigation; finally, this hypothesis was tested through data analysis.Findings(1) Collaborative innovation activities in the construction supply chain had a positive impact on explicit knowledge sharing, tacit knowledge sharing and innovation performance. (2) BIM application had a positive impact on explicit knowledge sharing and innovation performance, while it had no significant impact on tacit knowledge sharing. (3) Explicit knowledge sharing had no positive effect on innovation performance, while tacit knowledge sharing had positive effect on organizational performance. (4) Tacit knowledge sharing produced partial mediating effect between collaborative innovation activities, BIM application and innovation performance, while explicit knowledge sharing produced complete mediating effect between BIM application and tacit knowledge sharing.Originality/valueA relationship model among collaborative innovation activities, BIM application, explicit and tacit knowledge sharing and innovation performance in the construction supply chain was proposed, and the rationality of the model was verified by empirical analysis. Discovering the relationships between these factors can be not only conducive to mastering the effect of explicit and tacit knowledge sharing in the collaborative innovation process of construction supply chain, but also play a guiding role for the function development of BIM.

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