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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.

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.

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.

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.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

Relational aspects between actors in a chain have been found to influence innovation capacity. Yet, many studies focus rather on groups of chain members, without investigating personalized links between the chain members. Other research involved case‐studies on a limited number of individual chains. The purpose of this paper is to examine quantitatively how the perceived relationship quality among three relational linked chain members affects the innovation capacity in traditional food chains beyond the dyad.

Evidence is drawn from a survey of 90 triplets of firms (three interlinked chain members), with each triplet belonging to a single individual traditional food chain. Research was conducted in three European countries and six traditional food product categories. Heterogeneity across these chains is examined based on cluster analysis. Binary logistic regression is used to examine the influence of relationship quality on the innovation capacity in the chains.

Three distinct clusters are identified and interpreted as reflecting three levels of innovation capacity: high, medium, and low. Relationship quality is defined through characteristics such as trust, social satisfaction, non‐coercive power, and reputation. Results suggest that the characteristics of the chain relationship quality may be important factors for the improvement of the innovation capacity in chains.

As chain relationship quality fosters sharing of resources necessary for innovation as well as the distribution of incentives, these results further strengthen the emerging conclusion from the literature that innovation can be catalyzed by collaboration strategies and building strong relationships.

This paper contributes to the ongoing discussion on widening the supply chain approach from dyads to triads, as it is argued that a dyad of firms is intensively influenced by the network they are imbedded in. In this case, the paper explores the influence of the relationship quality among the food manufacturer and its main supplier and customer (and vice versa) on the innovation capacity of the whole chain.

The core of the successful implementation of the integrated project delivery (IPD) mode is to establish a high-quality relationship of cooperation, trust and sharing among participants. This paper proposes recommendations to improve the relationship quality of participants from the owner's perspective. The results provide the theoretical basis and practical guidance for the popularization and application of the IPD mode.

This paper analyzes the dynamic relationship among participants in IPD mode based on supply chain theory and similarity theory. A tripartite game model of the owner, designer and the contractor is constructed to obtain the evolutionary equilibrium strategies under different parameter constraints. Then, numerical simulations under various scenarios are conducted to explore the dynamic evolution and the influencing factors of the relationship quality among the participant in the IPD mode.

The results show that (1) the relationship quality under certain conditions gradually improves as the project progresses until stable and high-quality cooperation is formed and (2) the owner's positive supervision cost, the distribution coefficient of incentive and punishment of participants and the scale of incentive pool are important factors influencing the relationship quality.

This study incorporates the following three innovations. First, analyzing the relationship quality among the participants of IPD mode based on supply chain theory. Second, the evolutionary game theory is applied to the relationship quality analysis. Third, conclusion innovation. The authors conclude that the relationship quality may progress, decrease or cycle with the progress of the project and targeted recommendations are presented based on the results.

The purpose of this paper is two‐fold: to examine two approaches buying firms can utilize to manage supplier quality; and to investigate the ways in which factors inherent in supply chain relationships affect the use of these approaches in supply chain quality management.

Drawing on agency theory, this paper proposes a conceptual framework that relates the underlying factors of a supply chain relationship to the use of quality management approaches. Two types of approaches, outcome‐based and behavior‐based, are discussed in terms of their focuses, purposes, and methods. Propositions are developed about the effects of these factors on the decisions buying firms make about supply chain quality management.

This study suggests that rather than relying on one generic supply chain quality management approach for all suppliers, firms need to choose different management mechanisms for different suppliers based on the salient attributes of individual suppliers and their relationships with the buyers. Five types of agency‐based factors are discussed. These factors – information asymmetry, goal conflict, risk aversion of suppliers, length of relationship, and task characteristics – can be expected to influence how firms design and manage their quality management systems for supply chains.

A better understanding of the distinction between outcome‐based and behavior‐based approaches helps managers evaluate which approach is best suited to managing the quality of their suppliers. The propositions pertaining to the key factors provide managers with some guidelines about the critical conditions they should consider when building their firm's supply chain quality management system.

Having an effective quality management system of a supply chain is essential for maintaining a smooth supply of high quality products and services to customers. However, little is known about how a firm should design this supply chain quality management system. The paper addresses this gap by applying agency theory to examine the two essential approaches to managing supplier quality and to explore the critical factors that should be taken into account when considering the appropriate approaches for different suppliers.

This paper aims to examine the relationship between supply chain quality management practices and their impact on supply chain performance. The authors define and operationalize supply chain quality management practices that enhance knowledge creation and learning in a supply chain.

Data are collected from logistics and supply chain managers in the USA to examine the validity and reliability of the model for supply chain quality.

The empirical result provides support for the reliability and validity of the proposed model, the constructs used in the model, and the interrelationships among key constructs of supply chain quality. The authors show that trust is the main predictor of supply chain quality practices and supply chain quality performance outcomes. In addition, the findings show that the impact of trust on process improvement is mediated by information sharing, inter-firm trust and information sharing are significant predictors of supply chain satisfaction, and inter-firm trust and process improvement are significant predictors of supply chain performance. Implications of the research for the theory and practice of supply chain management and quality management are presented.

This study provides important insights into effective implementation of quality management across the supply chain. Supply chain managers should realize that achieving improvement in many supply chain activities such as information sharing or process improvement requires organizations to be engaged in trust-based activities. In that regard, it is important for supply chain managers to be engaged in developing relationships with their supply chain partners that enhance inter-organizational trust.

This is the first study that examines a supply chain quality management model from the learning perspective. The authors validate the supply chain quality framework proposed by Parast (2103) through operationalization of the constructs, development of the relationship among key supply chain quality practices and empirical assessment of the structural model for supply chain quality.

This study examines the direct and indirect effects of social capital on supply chain performance via supply chain quality integration (SCQI), which refers to integrating supply chain partners from the perspective of quality management. It also examines the moderating role of environmental uncertainty in the link between social capital and SCQI and determines the conditional indirect effect of social capital on supply chain performance via SCQI.

Data were collected using a time-lagged research design through a self-administered survey of supply chain professionals in manufacturing firms in Pakistan. Hayes’ PROCESS Macro was used to test the hypotheses.

The results show a positive relationship between social capital and supply chain performance. SCQI partially mediates the relationship between social capital and supply chain performance. Environmental uncertainty significantly moderates that relationship in such a way that firms that operate under high environmental uncertainty are more likely to use their social capital to develop SCQI than firms that operate under low environmental uncertainty.

The study has practical implications for managers who seek to implement SCQI practices using social capital. Leveraging social capital across the supply chain fosters strong connections and a quality-oriented approach across the supply chain, and improves overall performance. Managers can use the power of social capital to navigate environmental uncertainty.

This study’s originality lies in its drawing on the dynamic capability theory and contingency theory and integrating the dispersed scholarly work on social capital, SCQI, and supply chain performance under the boundary condition of environmental uncertainty.

The objectives of this paper were twofold: to explore if there are differences in the perceptions about supply chain performance (SCP) and relationship quality (RQ) among traditional food supply chain members, and to examine the influence of individual relationship variables and aggregated relationship quality on SCP in the traditional food sector.

The survey was conducted in a triadic context with 189 supply chain members (62 suppliers, 65 focal companies and 62 customers) of 65 traditional food supply chains (cheese, olive oil, meat products, brandies and liqueurs, wine and honey) in Croatia. The influence of individual relationship variables and aggregated RQ on perceived SCP was tested using regression analysis.

It was found that there were no significant differences in the perception of overall SCP and RQ among supply chain members. It was identified that aggregated RQ and all individual relationship variables (trust, commitment, economic satisfaction, non-coercive and coercive power, reputation and conflict) have a significant influence on perceived SCP of the traditional food supply chains.

This study provides a systematic approach to investigate the SCP and supply chain RQ in the traditional food sector. The findings suggest that managers should not neglect any aspect of supply chain relationship to keep high SCP and to be competitive on the market.

This multiple supply chain study makes an original empirical contribution to the supply chain and network management literature by using a triadic approach to investigate RQ and SCP. The influence of individual RQ constructs and aggregated RQ on traditional food SCP examined in this study has not been explored thus far. This study also makes an original empirical contribution by investigating RQ and SCP in the traditional food sector, which has received little attention recently.

This paper aims to develop a theoretical base for supply chain quality from the learning perspective. Through utilizing the relational view of inter‐organizational competitive advantage, the paper identifies learning‐driven practices that influence buyer‐supplier performance outcomes.

A review of the literature in quality management, supply chain management and strategic management is conducted to develop key practices associated with quality management in a supply chain environment.

The findings suggest that quality management facilitates cooperative learning and improves inter‐organizational learning processes. At the supply chain level, it enhances supply chain satisfaction and supply chain performance.

The study contributes to our understanding of quality management practices within a supply chain environment from an inter‐organizational learning perspective. It extends the concept of quality to the supply chain through focusing on key practices that influence the quality of supply chain relationships.

The extant literature highlights the notable lack of a consensus among operations and supply chain management scholars regarding the theoretical underpinnings and associated empirical evidence for the performance impact of supply chain quality management (SCQM) practices on quality. The purpose of this paper is to redress this imbalance in the literature through empirical examination of the relationship between SCQM practices and quality performance outcomes.

In accordance with the research aim, a quantitative approach was adopted, and a multi-item scale Web-based survey was designed to collect primary data. A total number of 325 questionnaires were collected from a sample of UK-based manufacturing companies. Factor analysis, internal consistency and multivariate regressions were used to validate the multi-item scale and test the hypotheses.

The findings confirm the proposed hypotheses and reveal statistically significant results for the performance impact of SCQM practices on quality at an aggregate level. However, the results of the individual level analysis of SCQM practices appear to vary from practice to practice. Of various SCQM practices, customer focus with the highest beta value (i.e. ß = 0.303; t-value = 6.120; p = 0.000) was found to have the greatest impact on quality performance.

The findings encourage managers to place high priority on both inter-firm and intra-firm relationships as prerequisites for achieving superior quality performance. The propositions and the results of the study provide managers with some guidelines about effective management of upstream, midstream and downstream supply chain networks and awareness of the potential synergies arising from the combined effects of SCQM practices that could bring about desired quality performance outcomes across the entire supply chain network.

Real and sustainable quality performance often requires an equal focus on both intra- and inter-firm relationships among supply chain partners. Therefore, effective management of quality across the entire supply chain is deemed essential if a firm is to smoothly supply high-quality products and services to customers. But little research has been devoted to understanding conceptual underpinnings of SCQM as well as empirical support and validation for the conceptualisation and measurement of SCQM practices. Based on the insights gained from social network theory, this paper makes an attempt to address this gap and examine the impact of SCQM practices on quality performance.