Partnership Management, Supply Chain Collaboration, and Firm Innovation Performance: An Empirical Examination

2015 ◽  
Vol 7 (2) ◽  
pp. 127-138 ◽  
Author(s):  
Zhang Hui ◽  
Wang He-Cheng ◽  
Zhou Min-Fei
Keyword(s):  
Supply Chain ◽  
Yangtze River Delta ◽  
Positive Influence ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Supply Chain Collaboration ◽  
Uncertain Environments ◽  
Firm Innovation ◽  
Empirical Examination ◽  
Partnership Selection

Facing uncertain environments, firms have strived to achieve competitive advantage by partnership management and supply chain collaboration. The objective of the research is to uncover the nature of partnership management and explore its impact on supply chain collaboration and firm innovation performance. The research divides partnership management into three stages: partnership selection, partnership establishment, and partnership sustention. The research constructs the influence mechanism of partnership management on supply chain collaboration and innovation performance. By questionnaire of 133 manufacturing enterprises in the Yangtze River Delta of China, and using SPSS statistical analysis, the empirical results show that partnership selection, partnership establishment, and partnership sustention have significantly positive influence on supply chain collaboration and innovation performance; supply chain collaboration has a complete mediating effect between partnership election, partnership establishment, and innovation performance; and supply chain collaboration has a partial mediating effect between partnership sustention and innovation performance. The research reveals the construct mechanism of firms’ improving innovation performance through partnership management.

scholarly journals Research on the Influence Mechanism and Configuration Path of Network Relationship Characteristics on SMEs’ Innovation—The Mediating Effect of Supply Chain Dynamic Capability and the Moderating Effect of Geographical Proximity

2021 ◽  
Vol 13 (17) ◽  
pp. 9919
Author(s):  
Hongxiong Yang ◽  
Wanru Ren
Keyword(s):  
Supply Chain ◽  
Qualitative Comparative Analysis ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Dynamic Capability ◽  
Geographical Proximity ◽  
Dominant Type ◽  
Influence Mechanism ◽  
Chain Dynamic ◽  
Network Relationship

Innovation is the continuous source of power for the survival and development of SMEs, but the complexity of innovation and the limitation of resources make SMEs trapped in the dilemma of “innovation difficulty”. A moderated mediating model was constructed based on social network theory and resource view, and fuzzy set qualitative comparative analysis (fsQCA) was used to empirically study the influence mechanism between network relationship characteristics and SMEs’ innovation and the configuration path to achieve SMEs’ high innovation performance. The results show that the characteristics of network relationships positively affect the innovation performance of SMEs. Supply chain dynamic capability plays an intermediary role between network relationships and SMEs’ innovation relationships. Different geographical proximity levels of the supply chain lead to different coordination interaction and knowledge sharing efficiency between upstream and downstream, which not only positively moderates the relationship between supply chain dynamic capability and SMEs’ innovation performance, but also moderates its mediating effect. Furthermore, the fs QCA analysis results show three configurations for SMEs’ high innovation performance based on the characteristics of network relations: geographic proximity regulating type, network relationship dominant type, and dynamic coordination and integration type.

scholarly journals Intellectual Capital, Knowledge Sharing, and Innovation Performance: Evidence from the Chinese Construction Industry

2019 ◽  
Vol 11 (9) ◽  
pp. 2713 ◽  
Author(s):  
Yongfu Li ◽  
Yu Song ◽  
Jinxin Wang ◽  
Chengwei Li
Keyword(s):  
Knowledge Sharing ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Positive Influence ◽  
Equation Model ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Construction Enterprises ◽  
Using Data ◽  
The Relationship

Knowledge economy era is an era driven by innovation, mainly based on the input of intangible assets which plays decisive roles in the long-term development of enterprises. The product value of enterprises is largely determined by their intellectual capital. Therefore, as pillars of China’s economy, construction enterprises must strengthen their investments in intellectual capital, and to achieve competitiveness in the market, enterprises must share knowledge with the other members of their networks. This study explores the relationship among the intellectual capital, knowledge sharing, and innovation performance of construction enterprises and the mediating effect of knowledge sharing on the relationship between intellectual capital and innovation performance by using data collected from a questionnaire survey. These data are analyzed along with the aforementioned relationships by using SPSS and a structural equation model. The findings indicate that intellectual capital not only has a direct positive influence on the innovation performance of construction enterprises but also positively affects their innovation performance through knowledge sharing. This paper concludes by presenting its limitations and the implications of its findings.

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.

scholarly journals Guanxi and operational performance: the mediating role of supply chain integration

2017 ◽  
Vol 117 (8) ◽  
pp. 1650-1668 ◽  
Author(s):  
Mengying Feng ◽  
Wantao Yu ◽  
Roberto Chavez ◽  
John Mangan ◽  
Xumei Zhang
Keyword(s):  
Supply Chain ◽  
Least Square ◽  
Mediating Effect ◽  
Supply Chain Integration ◽  
Operational Performance ◽  
Empirical Examination ◽  
Content Type ◽  
Mediating Role ◽  
Ordinary Least Square Regression

Purpose The purpose of this paper is to extend prior supply chain research by empirically exploring the relationship among guanxi, supply chain integration (SCI), and operational performance. More specifically, this study investigates the mediating role of SCI. Design/methodology/approach Ordinary least square regression is used to analyze survey data collected from 126 automobile manufacturers in China. Findings The results reveal a significant positive relationship between guanxi and SCI, and that SCI is significantly and positively related to operational performance. The authors’ findings further suggest that guanxi indirectly affects operational performance through SCI. Practical implications The empirical findings imply that it is vital for managers to recognize the important mediating role of dynamic SCI capabilities. Originality/value As a fundamental Chinese cultural norm, guanxi can be critical in a supply chain context. Although previous research has identified the importance of guanxi and SCI in improving firm performance, far less attention was given to the study of the mediating effect of SCI on the guanxi-performance relationship. This study thus fulfills the research gap by providing an initial empirical examination of the mediating role of SCI in China’s automotive industry.

scholarly journals How firm size moderates the knowledge and affects the innovation performance? Evidence from Brazilian manufacturing firms

2021 ◽  
Vol 20 (1) ◽  
pp. e15567
Author(s):  
Marco Túlio Dinali Viglioni ◽  
Cristina Lelis Leal Calegario
Keyword(s):  
Firm Performance ◽  
Firm Size ◽  
Intangible Assets ◽  
Positive Influence ◽  
Innovation Performance ◽  
Firm Innovation ◽  
Positive Effects ◽  
Negative Results ◽  
The Relationship ◽  
Number Of Firms

Objective: Consists in explore the relationship between firm size and knowledge to capture the firm innovation performance in Brazilian manufacturing industries.Methodology: Using the production function approach and following the Resource-Based-View – RBV theory, we investigate how the firm internal RD and the degree of intangible assets are moderated by firm size.Originality: The literature in the past decades has tried different methods to find strategies that improve the innovation of a large number of firms in different countries and regions. Yet, there is a large number of firms from emerging economies looking forward to improve productivity and the firm innovation performance.Main results: The results indicated that investment in RD is relevant to the firm performance. Nonetheless, the relationship between RD and firm size showed negative results. In the case of the degree of intangible resources, the same was observed, but the interaction between firm size and intangible assets showed positive effects on the firm performance. Finally, other important characteristics were observed, such as firm age and technology intensity, which showed positive influence over the firm performance.Theoretical contributions: The study showed that the degree of intangible assets is relevant for the firm, as the theory predicts, and it has become valuable for emerging enterprises, once not all firms may conduct RD activities.Social contributions: The findings update the understanding about RD and other intangible assets and provide new information to managers, researchers, and policymakers to develop new policies to promote and finance these activities.

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