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How can a third‐party logistics (3PL) provider decide whether or not there is a viable opportunity to serve the needs and desires of potential clients? To answer this question, a tool is needed that can help determine if there are problems, inefficiencies, or needed improvements in a client's, or a potential client's, supply chain that the 3PL can effectively address. Most diagnostic tools currently in use in supply chain analysis are large, quantitative, and time‐consuming. This paper describes a qualitative diagnostic tool designed for more rapid analysis. The research and managerial implications of this tool are also discussed.

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.

This paper aims to present a supply chain performance assessment tool that measures the performance of key supply chain activities of a firm under different performance dimensions.

The tool was developed based on an extensive literature review. The nine key internal supply chain activities, as proposed by Grant et al. in 2006, constituted the backbone of the assessment framework, while performance was measured based on three dimensions: cost, time, and reliability. The tool was pilot‐tested on 44 local SMEs. The results were then compared with existing performance benchmark as well as within the benchmarked group itself and a high performing Thai multinational in order to see whether the developed tool could identify performance gaps in the trial group.

The results obtained from the tool provide a description of a firm's internal supply chain activity. The utilised supply chain performance framework can isolate each individual supply chain activity. The results are therefore precise enough for firms to identify individual areas of strengths and weaknesses. The tool is relatively simple and easy to use and understand.

Limitation is related to the availability of the required assessment data. The availability of data is a reflection of systematic data collection and storage procedures of the respondent firms.

The tool was developed on clearly defined theoretical foundations. The three dimensions of cost, time and reliability can balance both financial and non‐financial characteristics of supply chain performance. The data required are simple and objective.

The purpose of this paper is to examine the changes in governance structures that evolved as reverse logistics systems were developed. The UK car crash repair sector was used as a case study.

The value‐chain governance framework proposed by Gereffi et al. was used to assess changes in governance systems as firms developed a reverse logistics flow and three transactional variables were used to determine how supply chains are governed and change. Both forward and reverse product flows for two supply chains were assessed to determine what changes in governance of the supply chain took place as reverse logistics operations developed.

The authors' analysis documents how relationships between the focal firm and other supply chain members altered as the new reverse logistic system developed. The modular governance structure that developed through increased supplier capability coupled with higher levels of knowledge and information codifications were shown to be important factors in the establishment of a reverse logistics system. Supplier capability, knowledge codification and transaction complexity were found to be moderating variables which can enrich the traditional models on buyer‐supplier relationships based on trust and ongoing commitment.

Reverse logistics continues to be a major issue for business. Our findings provide an insight into some of the governance and knowledge management developments as focal firms respond to growing pressures to re‐use materials and parts. In total, six factors were identified which can assist firms in assessing their current governance structures and the development of a pathway for implementation of reverse logistics.

Little research has been conducted into supply chain governance structures needed to manage the new reverse logistics systems for the re‐use, recycling and repair of products.

The purpose of this research is to investigate the dynamics and dimensions of behaviors of supply chain employees that may impede the success of supply chain relationships.

A grounded theory qualitative method was used to explore the concept of counterproductive work behavior in a supply chain context.

Through analysis and evaluation of the data, five key supply chain counterproductive work behaviors (avoiding, withholding, emoting, confounding, and shifting) emerged. Overall, these behaviors are associated with perceived contract breaches, which undermines trust within supply chain relationships.

This work provides a basis for researchers to explore counterproductive work behaviors within supply chain management and managers to consider these behaviors in relational exchange. Future research can build on the insights provided here by applying quantitative methods to exploring the phenomenon and investigating counterproductive behaviors from the actor's perspective.

This research provides an overarching framework for relationship management behaviors that may detract from supply chain relationships. Research has previously explored these types of behaviors in a segmented fashion. This work takes a comprehensive look at behaviors and through evaluation of the data, relational and informational contract breaches emerge. The data suggests these contract breaches may undermine the trust within supply chain relationships.

The purpose of this paper is to investigate the relationship between two major constructs (supply chain management practices (SCMP) and supply chain performance measures), which determines the efficiency and efficacy of retail-supply chain management, using a rigorous empirical method to validate the instrument scale for measuring the validity and reliability of the identified constructs. Additionally, the paper further tests the relationship between SCMP and supply chain performance measures using structural equation modeling (SEM).

Data were compiled and collected from 213 operations and supply chain (SC) heads from leading retail stores in India. Confirmatory factor analysis was used to test the validity of the proposed measurement scale and the relationship is tested using SEM.

The results of the research will help the decision makers in the SC/procurement field to understand the importance of the association between SCMP and supply chain performance measures. Statistical tests show that the implementation of SCMP are associated with supply chain performance measures, which leads to overall improvements; moreover, there is a statistically significant association between the five SCMP and eight SCPM.

This research is also needed to provide more understanding about the SCMP along with the supply chain performance measures and the positive association among them. Overall, this research provides an additional insight into the growing field of the relationships between SCMP and SCPM. Clearly, the field has ample space to grow in terms of research and practice.

This research paper contributes to the literature on supply chain performance measurement.

Despite the significant increase in the adoption of performance-based contracting (PBC) in various industries, the primary value drivers of it are still not clear. Considering a lack of empirical evidence for PBC, this study investigates the effects of collaboration between the suppliers to understand the value offerings created in PBC by empirical findings. The purpose of this paper is to examine how supply chain collaboration (SCC) affects PBC benefits.

Using data from 381 survey participants who hold the title of manager or above, hypotheses are tested using structural equation modeling (SEM).

The results reveal that a strong and positive relationship between SCC and PBC benefits.

One of the limitations of this research is the collection of data through the Amazon Mechanical Turk online service. The experience level of participants in PBC and the absence of validation of these scale items by industrial experts are other limitations of this study. Nonetheless, the authors found convincing evidence that SCC has a positive effect on PBC benefits.

The findings highlight the importance of SCC to increase financial, operational and non-financial benefits of PBC for practitioners. The findings offer guidance for managers aiming to increase PBC benefits through SCC.

This is the first study to empirically examine the impact of SCC for better PBC and contributes to the body of knowledge by providing empirical findings in a PBC context. This research also develops valid and reliable instruments to measure PBC benefits through rigorous empirical and statistical analysis that can be used in future studies.