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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.

The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.

The survival and growth of the ready-made garments (RMGs) sectors in Bangladesh depend on sustainable supply chain performance (SSCP). The purpose of this study is to analyse the effects of Internet of Things (IoT), supply chain collaboration and ethical sensitivity on SSCP. Also, supply chain dynamism was tested as a moderator.

The framework of this study has been developed to enrich the understanding of technology usage in the supply chain. In developing the framework, previous studies in the supply chain context were considered. The model was tested by using data collected from 290 executives that were employed by different RMG companies in Bangladesh. This study used a 29-item structured questionnaire measured on a 6-point Likert scale to collect the data. Covariance-based structural equation modelling (SEM) was utilised to test the data.

The results showed that there were statistically significant and positive relationships between IoT and supply chain collaboration, social performance, economic performance and environmental performance. Ethical sensitivity also influenced social and economic performance. Supply chain collaboration was found to be related to social, economic and environmental performance. However, no link was found between ethical sensitivity and environmental performance. The result also showed that supply chain dynamism acted as a moderator.

By considering theories and interpreting the results, this study provides some theoretical and practical implications which will enhance the SSCP. The results can also facilitate strategic planning by companies.

This research has identified and analysed the effect of IoT on SSCP in the RMGs industry in Bangladesh where this industry serves as the main economic contributor.

This paper assumes necessity rather than sufficiency logic to model the relationship between collaborative culture and supply chain collaboration as triangular rather than linear. Specifically, this study aims to determine whether overall collaborative culture and its dimensions (i.e. collectivism, long-term orientation, power symmetry and uncertainty avoidance) are necessary for supply chain collaboration and the minimum levels of overall collaborative culture and its dimensions that are required for high levels of supply chain collaboration.

Based on the literature, collaborative culture and its four dimensions, namely, collectivism, long-term orientation, power symmetry and uncertainty avoidance, were modelled as conditions having supply chain collaboration as their outcome. The study used the necessary condition analysis to test the triangular relationships between the conditions and the outcome among a sample of firms (N = 166) in the downstream petroleum sector.

The results revealed that collaborative culture and its dimensions are necessary conditions for supply chain collaboration, and that high levels of collaboration are possible, although not guaranteed when at least a basic level of collaborative culture or its dimensions are present. Hence, different levels of supply chain collaboration require firms to have different levels of collectivism, long-term orientation, power symmetry and uncertainty avoidance. Thus, at 30% supply chain collaboration, only overall collaborative culture is necessary.

A significant limitation of this research is that, although several antecedents of supply chain collaboration exist, this study explored only the cultural antecedents of supply chain collaboration.

The dimensions of collaborative culture are necessary but not sufficient for supply chain collaboration. Therefore, managers should adopt a holistic approach to investment in a collaborative culture, as an over-investment in any of the dimensions may not compensate for an under-investment in the others.

As one of the first studies to use necessity rather than sufficiency logic to test the relationship between collaborative culture and supply chain collaboration, this research unearthed the non-linear (triangular) relationship between the constructs. It contributes to understanding how collaborative culture and its dimensions serve as bottleneck conditions constraining supply chain collaboration.

Collaboration methods are unique strategies that can help organizations hedge against external and internal supply chain risks without stressing their relationships with supply chain partners. However, selecting the most appropriate collaboration method from a given set of strategies is a multifaceted challenge. This paper aims to address this issue.

The decision maker's dilemma of fighting data uncertainty in input parameters to check the efficacy of a given collaboration or mitigation approach is tackled by the integration of Grey theory with the technique for order of preference by similarity to ideal solution (TOPSIS) method. The proposed technique is applied and tested for an Indian diesel generator-set manufacturer to identify the most apposite set of sustainable collaboration strategies.

The results showed that when a firm is bidding for different horizontal collaboration strategies across its supply chain system technology and resource-sharing-centered collaboration strategies are the prominent option. In the case of the company's vertical collaboration deployment, the focus should be kept on information sharing to achieve impactful collaboration. The outcome of the analysis helped the Indian manufacturer to adopt transparent order and production information sharing with its regional distributors and core suppliers within its supply chain.

This study demonstrates from a methodological perspective the successful application of the Grey-TOPSIS approach that effectively captures data uncertainty. It also integrates sustainability parameters in collaboration strategy criteria selections.

This study empirically examines the impact of announcements on supply chain strategic collaboration (SCSC) on companies' shareholder value.

This study analyzes changes in shareholder value of companies listed in China based on data of 208 SCSC announcements. The signaling theory is applied to determine correlation among SCSC announcements and the market. An event study is used to estimate the stock market reaction to SCSC announcements. The common market model estimates stock abnormal returns after the event. The least squares method and regression model calculate the model parameter value.

There is a positive and statistically significant relationship between SCSC announcement and shareholder value. Market reaction to product development collaboration is significantly higher than to technology-sharing collaboration, market collaboration, and other SCSC types. The market reacts more positively to suppliers and companies with greater supply chain control power than to buyers and companies with lower control power. Announcements from the service supply chain can lead to stronger market reactions than those from manufacturing supply chains.

The findings provide a systematic assessment of how SCSC announcements contribute to firms' shareholder value. The result provides a benchmark of value promotion that can be expected from SCSC announcements.

This study fills the research gap that using secondary data to assess changes in companies’ shareholder value caused by SCSC announcements and firstly examines these changes by constructing the signaler–signal–receiver progress based on signaling theory. The research results provide a new reference and inspiration for deeper understanding of the impact mechanism of SCSC. Furthermore, this study contributes to the development of the signaling theory using an empirical study in an emerging market, China.

This paper proposes an integrative framework for supply chain collaboration which is based on the reciprocal approach.

A reciprocal approach is adopted to capture the interaction phenomenon of different features of collaboration in attaining overall supply chain performance.

A collaborative supply chain framework is composed of five connecting features of collaboration, namely collaborative performance system, information sharing, decision synchronization, incentive alignment, and integrated supply chain processes.

Further research could be carried out to capitalize the framework for diagnosing and improving supply chain collaboration.

The proposed framework enables the chain members to scrutinize key features of supply chain collaboration before and during collaborative initiatives.

Previous research on supply chain collaboration mainly assume the unilateral phenomenon of collaboration that focuses on a single feature such as information sharing or co‐managed inventory. The proposed framework for the first time explicitly addresses the interaction of different connecting features of collaboration.

The purpose of this paper is to understand the link between trust, technology and supply chain collaboration and their impact on firms’ operational performances.

Based on extant literature, a hypothesized model was developed and tested using structural equation modelling (i.e. AMOS). A survey was conducted to collect data from the supply chain managers of fast-moving consumer goods (FMCG) companies (more precisely in the food and beverage sector) in Thailand.

The study findings suggest that through an ongoing relationship, trust evolves and is shaped over time and can form a competitive capability that may not be easy for competitors to replicate. Both trust and technology are found to have significant impact on supply chain collaboration and on firms’ operational performances.

One of the major limitations of the study is that the data were obtained from one single economy, which restricts its generalizability across other economies. The study was a cross-sectional and descriptive sample of the FMCG industry at a given point in time. A more stringent test of the relationships between trust, technology, supply chain collaboration and operational performance requires an in-depth case study or longitudinal study.

The findings will enable supply chain managers in the FMCG industry to understand the strategic role of trust and technology in building supply chain collaboration that leads to superior operational performance.

The paper clearly confirms that trust and technological capabilities are significantly associated with supply chain collaboration and operational performance. Most of the earlier supply chain collaboration research streams are based on developed economies where supply chain collaboration challenges are predictable, while the current study conducted is based on a developing economy setting. This study facilitates the author’s understanding of the challenges in managing supply chain collaboration within a developing economy.

This paper aims to empirically analyze how adaptive collaboration in supply chain management impacts demand forecast accuracy in short life-cycle products, depending on collaboration intensity, product life-cycle stage, retailer type and product category.

The authors assembled a data set of forecasts and sales of 169 still-camera models, made by the same manufacturer and sold by three different retailers in France over five years. Collaboration intensity, coded by collaborative planning forecasting and replenishment level, was used to analyze the main effects and specific interaction effects of all variables using ANOVA and ordered feature evaluation analysis (OFEA).

The findings lend empirical support to the long-standing assumption that supply chain collaboration intensity increases demand forecast accuracy and that product maturation also increases forecast accuracy even in short life-cycle products. Furthermore, the findings show that it is particularly the lack of collaboration that causes negative effects on forecast accuracy, while positive interaction effects are only found for life cycle stage and product category.

Investment in adaptive supply chain collaboration is shown to increase demand forecast accuracy. However, the choice of collaboration intensity should account for life cycle stage, retailer type and product category.

This paper provides empirical support for the adaptive collaboration concept, exploring not only the actual benefits but also the way it is achieved in the context of innovative products with short life cycles. The authors used a real-world data set and pushed its statistical analysis to a new level of detail using OFEA.

There are three aims of this research. One is to verify the mutual effects between internal collaboration and external collaboration, another is to prove performance improvement among different levels of supply chain collaboration, and the third is to analyze gaps between the two viewpoints. The population is Korean FDI firms in China and 208 data are used in the analysis. The data are treated with various methods: exploratory and confirmatory factor analyses, SEM, cluster analysis, ANOVA, MANOVA and post hoc analysis. The results are as follows. First, external collaboration and internal collaboration have positive effects on each other, which have a positive effect on performance. This means that efficiency of internal processes is the cause of promoting connection with external processes and information generated from the market is the basis of a variance of internal processes, followed by high performance. Second, service performance improvement is more definite than cost performance improvement among different levels of supply chain collaboration. Firms can achieve more definite results in service performance when they perform supply chain collaboration. Third, this research verifies both the viewpoint of directions of supply chain collaboration and the strategic choice viewpoint of supply chain collaboration to better understand supply chain collaboration. Both viewpoints approach supply chain collaboration from different viewpoints but they do explain the methods for performance improvement.