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The purpose of this paper is to evaluate the effect of logistics collaboration, meetings, relationship history, and supplier selection on the logistics performance of shippers, carriers, and logistics services providers. Rather than focusing on collaboration and performance, the research provides a wide analysis of how logistics collaboration and performance interact with other organizational practices.

To investigate the interaction among the constructs, the authors proposed a structural equation model to understand the influence of meetings, relationship history, supplier selection, and collaboration on logistics performance. The data were obtained through a survey of 199 managers of Brazilian companies in the retail sector.

Supplier selection has the strongest effect on logistics collaboration, and relationship history has the strongest effect on logistics performance. Rather than meetings and operational features, the elements of interpersonal skills, organizational culture, and communication appear to be the most important contributors to logistics performance achievements; relationship history leads to better performance.

This study contributes to our understanding of how and with whom to collaborate by highlighting the relationships among supplier selection, relationship history, meetings, and logistics collaboration and logistics performance.

The purpose of this study is to determine the extent to which institutional pressures affect supplier and customer collaboration and how collaboration explains green supply chain performance using institutional and stakeholder theories.

The paper builds on empirical evidence gathered from responses of Iranian industrial managers based on a self-administered survey. The hypotheses in the conceptual model are tested using Smart-PLS (partial least square).

The results provide evidence that regulatory requirements and internal motivators, as institutional pressure, enable customer and supplier collaboration. Furthermore, customer collaboration has a positive effect on supplier collaboration and, consequently, positively affects environmental and economic performance. But supplier collaboration is just positively affecting environmental performances and is not effective on economic performance.

The subject is that the study is a questionnaire-based survey, and the validity and reliability of the results are influenced by the respondents' idiosyncrasies. This study provides a comprehensive model of drivers, supply chain collaboration and performance in the context of the industry sector. The study contributes by providing empirical data with a focus on customer and supplier collaboration and their interrelationship in GSCM modelling.

The current paper is one of the new field of research which demonstrate the significance of customer and supplier collaboration with each other to attain green performance. It also contributes to show the effect of institutional pressure on the customer-supplier collaboration that fosters green performance in the supply chain.

The aim of this research was to study collaborative practices with suppliers in multinational manufacturing companies operating in India and to develop a framework for collaboration with suppliers.

This study adopted a four-step mixed-methods approach that included qualitative and quantitative methods. Qualitative technique was used to explore the factors and develop a balanced scorecard-based (BSC – balanced scorecard) framework using them. Quantitative technique was used to validate the framework statistically and also by using fuzzy analytical hierarchy process using perception-based ranks given by practitioners.

The exploratory research resulted in 26 antecedents for collaboration with suppliers in supply chains. Out of these 26, only 19 were considered based on importance given by practitioners. Further, the identified antecedents were classified and mapped based on the perspectives of the BSC. The extended BSC adds business environment and partnership perspectives to existing BSC framework. Some of the important factors identified under these perspectives were transparency of transactions, long-term commitment and trust. The customer perspective was given the utmost importance by the practitioners.

There are certain issues that may limit the completeness of the work in a global context. The number of organizations (21) and respondents (45) may also be insufficient to convey the complete knowledge embedded in the practice of the field.

The study provides practical insights about the factors affecting collaboration with suppliers. A BSC-based framework for collaboration with suppliers was also developed along with the associated importance of each perspective and factors under each perspective, which can prove to be of great value to academics and practitioners involved in relationship with suppliers in supply chain.

This paper adopts a multi-tier perspective and aims to explore challenges of small and medium-sized enterprises (SMEs) in collaborative manufacturing amid the emergence of dedicated B2B platforms. Original equipment manufacturers welcome formation of demand-driven collaborations between SME suppliers to facilitate ramp-up of production capacity. While being potentially beneficial to suppliers, such collaborations face various barriers.

An exploratory study of 17 suppliers within the European Union’s aerospace industry was undertaken. The study comprised two stages. In the first stage, suppliers’ answers to self-administered interviews were analysed using thematic analysis. In the second stage, interactions between the barriers were determined through interviews with experienced SME collaboration facilitators. The authors apply system dynamics modelling to analyse the links between barriers and identify re-enforcing and balancing loops of other factors.

The authors establish five major groups of barriers to collaboration impeding: market transparency, access to orders, partner trust, contracting and (e) data sharing and coordination. The authors model application of four enablers that facilitate barrier removal for technology-enabled supply chains: digital platforms, supplier development, smart contracts and Industry 4.0.

The study is limited by the data collection from the aerospace industry; validation of the models in other low-volume high-variability manufacturing sectors is needed.

The reader will learn about the barriers which impede demand-driven SME collaboration within manufacturing supply chains, interrelationships between these barriers and suggestions about how to remove them. SME cluster managers will find managerial implications particularly interesting as they will help them to overcome collaboration concerns and better prepare cluster members for Industry 4.0.

The models developed within this study can be used to explore the effects of intervening at critical points in the model to create virtuous improvement cycles between key barriers and related variables in the model. This can help decision-making and policymaking in the area of supply chain integration.

There is currently a lack of studies about how the existing barriers amplify and de-amplify themselves and what the managerial approaches to tackle the barriers are. It is unclear how far companies will go in terms of information sharing, given the trust levels, power dynamics and governance structures evident in supply chains. This study contributes by explaining the reinforcing interaction between the barriers and showing ways to overcome these using enablers.

The purpose of this paper is to examine the relationships between supplier capabilities, supply chain collaboration and buyer responsiveness.

The sample is drawn from UK manufacturing firms across eight industry sectors. Data are analysed using a three‐step hierarchical regression model to investigate main, interaction and quadratic effects.

The results indicate that suppliers' capabilities (flexibility, responsiveness and modularity) directly impact buyer responsiveness but that the level of buyer‐supplier collaboration moderates this relationship. Furthermore, the results show a curvilinear relationship directly between collaboration and buyer responsiveness, whereby there is an optimal point beyond which returns on the relationship decline.

The method adopted is a cross‐sectional design and therefore cannot imply causality. Nonetheless, the findings suggest a number of implications. The paper identifies empirical evidence for the extended resource‐based view (ERBV) of the firm and therefore has implications for the unit of analysis of future studies investigating competitive advantage. Contrary to popular wisdom, the findings also suggest a curvilinear relationship between supply chain collaboration and performance.

The paper provides novel insights into the impact of supplier capabilities on buyer responsiveness. Furthermore, the paper provides empirical evidence for the rationale of the ERBV within the context of operations management.

To examine the conditions under which the proposed benefits of collaboration between a firm and its suppliers will occur.

This paper examines buyer‐supplier relationships from the point of view of the buying firm. The paper is based on a Swiss sample of OEM‐supplier relationships. The research question is empirically tested employing a sample of 135 Swiss buyer‐supplier relationships and using structured equation modelling as well as multi‐group comparison to test for quasi‐moderation effects. In this paper it is investigated under which condition collaboration with key suppliers is beneficial for buyers. By linking collaboration with key performance measures and contrasting its effects with relational constructs like trust and dependence it is hoped to add to the growing literature on inter‐organizational relationships in supply chain contexts.

The results demonstrate that supplier collaboration has a positive effect on buyer performance both in terms of innovative capability and financial results. As expected, trust and dependence play an important role in supplier relationships.

This research is based on a single country (Switzerland) multi‐industry study. Generalizability to other industries or countries may be limited.

Supplier relationships need governance modes that balance control and relational elements. Relationship controlling is an important element in building successful supplier relationships. In order to be able to reap the benefits of collaboration for the entire company, the purchasing department needs incentives that support relationship building. Managers leading a purchasing department can learn what structural elements and processes are necessary to obtain optimal benefits from their supply base.

From a manager's viewpoint, this paper will provide additional insight into when and how collaboration can improve financial performance, enhance innovation, and reduce transaction costs..

This research aims to investigate how organisational and contextual factors affect supply chain collaboration and how that, in turn, influences firms' competitive advantage in the garment industry in the context of Vietnam, a developing country.

Following a qualitative research design, in-depth interviews were conducted with senior managers who are involved in supply chain collaboration in twelve garment companies in Vietnam. The data were recorded, transcribed and analysed using NVivo 12. Based on the literature and interview findings, a research model underpinned by the relational view (RV) and institutional theories, with organisational and contextual factors being the antecedents and competitive advantage as the outcome of supply chain collaboration, was proposed.

The findings showed that organisational and contextual factors induce both internal, supplier and customer supply chain collaboration. There is also a positive relationship between supply chain collaboration and competitive advantage. Based on these findings, a strategy matrix for supply chain collaboration is also put forward.

This is one of the first empirical attempts to investigate the role of organisational and contextual factors as potential antecedents of supply chain collaboration and its effects on competitive advantage in the garment industry. The research is expected to enrich both the literature and management practices on supply chain collaboration in the context of developing countries.

This study was steered to establish how buyer–supplier collaboration's commitment attributes serve as an antecedent for procurement performance in large manufacturing entities in Tanzania.

A parallel, concurrent, mixed method was used in the study. Quantitatively, 52 firms were surveyed from Temeke Municipality, Tanzania, using questionnaire that specified 1 procurement manager and 1 store manager from those firms, totaling a sample size of 104 respondents. Qualitatively, expressive opinions to supplement the numeric data were gathered from supply chain managers using the saturation principle. Explanatory design analyzed the existing cause–effect relationship, and the null hypotheses were tested using binary logistic regression at p values < 0.05 and ExpB > 1.

Fidelity and enthusiasm to suggest improvements to suppliers and the duration of the collaboration antecede the procurement performance of the manufacturing firms in Tanzania, while devotion to invest resources and initiatives on joint problem solving have no significant impact.

The causality between buyer–supplier collaboration and procurement performance has been revealed. Since there might be third party logistics in collaborations, future research should center on their moderating effect.

A framework has been developed for liberating procurement performance in the context of large manufacturing firms in Tanzania.

Based on Transaction Cost Economics and Resource Dependency Theories, the study revealed the root cause of procurement performance in the context of Tanzanian manufacturing firms, while also considering commitment to buyer–supplier collaboration as a prerequisit for the commendable target.

This paper aims to adopt the strategy-structure-performance (SSP) framework to explore how proactive social strategy could motivate firms to collaborate with suppliers on social sustainability initiatives, and how such collaborative efforts could unlock a win-win opportunity for both noneconomic (social performance) and economic (operational performance) performance. Additionally, drawing on the tenets of the social exchange theory, the different moderating effects of distributive justice and procedural justice on the social collaboration-performance relationship are also examined.

This study uses survey data collected from 215 manufacturing companies in China. The proposed hypotheses are tested using multiple linear regression models as well as the PROCESS macro within SPSS.

The results suggest that (1) a proactive social strategy could motivate firms to collaborate with suppliers on joint social activities and (2) social collaboration with suppliers can have a significant positive effect on both social and operational performance. The moderation results suggest that distributive justice has a differential effect on the collaboration-performance link. Particularly, distributive justice strengthens the relationship between social collaboration and operational performance, while it weakens the relationship between social collaboration and social performance. Surprisingly, procedural justice did not have a significant moderating effect on the social collaboration-performance link.

This paper extends the SSP framework to the social sustainability context by not only stressing the importance of proactivity in managing sustainability, but also revealing collaboration as a structural aspect that could achieve superior performance benefits. This study also contributes to sustainable supply chain literature by exploring the moderating roles of justice elements.

The purpose of this study is to examine the alignment between the risk hedging strategy and supplier collaboration and its effect on manufacturing competitiveness.

Building on the resource-based view (RBV) and contingency theory (CT), this study is guided by a positivist philosophy and employs a survey strategy to investigate both the direct relationship between the risk hedging strategy and manufacturing competitiveness and the moderating role of supplier collaboration using data collected from 397 respondents of manufacturing firms. Partial least squares structural equation modeling (PLS-SEM) technique is used to analyze collected data and to present the research findings.

Consistent with the RBV and CT, study findings indicate that a significant positive relationship exists between the risk hedging strategy and manufacturing competitiveness and that this relationship becomes stronger when supplier collaboration is interactively aligned. Study findings provide important insights on the role of the risk hedging strategy in promoting manufacturing competitiveness. Furthermore, supplier collaboration as a moderator accounts for a significant proportion of the relationship between the risk hedging strategy and manufacturing competitiveness.

Internal resources provide an explanation of the competitive differences among firms employing the risk hedging strategy. However, the environment presents opportunities for firms to acquire additional resources to fulfil the unique collaborative requirements of the risk hedging strategy. This study has used the moderation perspective to explain the interaction between the risk hedging strategy and supplier collaboration and its effect on manufacturing competitiveness. Future studies could incorporate other alignment concepts such as mediation and systems approach and compare the results to improve the theory.

This study can be considered as its kind in the supply chain management literature and both practitioners and researchers can benefit from the experience of resource-based and contingency analysis research and the results of aligning the risk hedging strategy with supplier collaboration for higher levels of manufacturing competitiveness.