Purpose: The purpose of this study is to bridge the gap in the literature on supply chain finance (SCF) by exploring the relationship between network capabilities and corporate financial performance (CFP) in financial supply chains (FSCs).Design/methodology/approach: The authors collect panel data and adopt regression analysis to analyse the joint investment activities among 1359 manufacturing firms and 289 financial service providers in China to explore how network capabilities, both network power and network centrality, improve CFP in the FSCs.Findings: Under the FSCs environments, network centrality (i.e. eigenvector centrality, closeness centrality and betweenness centrality) raises CFP (ROA, ROE and Tobin's Q) and network power (node degree, clustering coefficient) also improves CFP. However, node strength from the network power stream has a negative effect on Tobin's Q, indicating that when the partner of a firm has an extremely strong influence in FSCs; this weakens the bargaining ability and flexibility of the focal firm, thus reducing its long-term financial performance.Practical implications: The joint investment activities among supply chain partners and financial service providers help managers understand the advanced financing solutions generated by internal and external network organisations as well as be aware of network capabilities' impact on CFP in FSCs.Originality/value: This study answers the call for more empirical research on SCF to provide a broader sample to examine financial supply chain management. This is one of the earliest studies to shed light on a new perspective – how network capabilities improve CFP in the FSCs.

This paper starts by recognizing that despite the importance of absorptive capacity, economists in particular have made only limited use of the concept. Most theoretical and empirical studies derive from other fields of research. Thus, the first task is to compare and contrast the different approaches taken in measuring absorptive capacity. The rest of the paper then sets out an example of how typically economists have proceeded, using nationally representative CIS data to measure absorptive capacity across a 10‐year period and investigating if it remains stable in the long term. This is followed by considering how firms’ characteristics vary across lower to higher levels of absorptive capacity and whether such capacity determines firms’ productivity performance across both goods and service industries. Our results show that relative to other influences, absorptive capacity as measured here — net of the impact of foreign‐ownership and human capital — has a substantial influence on exporting, innovation and undertaking R&D and thus consequently firm‐level productivity. Finally, there is a discussion of why governments should consider helping firms to boost their levels of absorptive capacity.

Purpose: To explore the mechanism that shapes firms' supply chain learning (SCL) practices, this study examines the relationship between firms' knowledge network embeddedness and their SCL practice in a supply chain network, as well as the moderating role of supply chain network cohesion in this relationship.Design/methodology/approach: Using patent application data and supply chain partner information from 869 listed firms between 2011 and 2020 in China, this study uses fixed-effect regression models to reduce endogeneity problems by controlling for individual heterogeneity effects that cannot be observed over time.Findings: Firms' knowledge network embeddedness has an inverted U-shaped effect on their SCL, and this non-linear relationship is conditional on supply chain network cohesion, which strengthens (weakens) the positive (negative) effect of knowledge network embeddedness on SCL.Practical implications: The findings show that managers can reconcile the downsides of knowledge network embeddedness on SCL by fostering greater supply chain network cohesion.Originality/value: Drawing from the network pluralism perspective, this study contributes to supply chain literature by extending the research context of the antecedents of SCL from a single-network setting to a dual-network setting. It extends the network pluralism perspective by showing that not only positive effects but also negative effects of network embeddedness can transfer from one network to another.