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The purpose of this paper is to present a supply chain process modelling method adapted to the requirements of humanitarian organisations.

Empirical research was conducted to identify the state of practice of supply chain management (SCM) in humanitarian organisations. An established procedure was selected, in order to develop a reference task model which forms the basis of the process modelling method. A literature review, expert interviews and other primary sources were used to identify the SCM activities that are required for the reference task model.

An empirical survey revealed that process modelling and optimisation are in their infancy at humanitarian organisations. A reference task model identifying over 100 SCM tasks is constructed. The applicability and feasibility of the developed process modelling method is exemplified by means of a case study.

The reference task model provides the basis for further research on process modelling and optimisation in humanitarian supply chains.

The process modelling method supports humanitarian organisations in modelling and optimising their supply chain processes. Standardisation of supply chain processes is promoted which can be a key to improving operational effectiveness and efficiency as well as cooperation and coordination in humanitarian operations.

No rigorous supply chain process modelling technique adapted to the requirements of humanitarian organisations has yet been proposed. Likewise, to date, no comprehensive task model, which enables the construction of supply chain processes for humanitarian organisations, has been developed.

The purpose of this paper is the development of a reference model contributing to the identification of the retail supply chain activities that can be improved by the implementation of Lean Six Sigma (LSS) initiatives, following DMAIC steps and using proposed tools, based on contemporary technologies and best practices.

The reference model was developed combining the existing literature knowledge about the areas of supply chain that LSS can improve and the data collected by two big retailers in Greece about their supply chain operation. The integration of two sources of information led to the modeling of the retail supply chain processes and the proposal of appropriate LSS initiatives for their improvement.

This paper aimed to detect the pain points of a retail supply chain, which can be achieved by following the steps of DMAIC and applying specific LSS initiatives as described in the reference model, to introduce the trends of the sector in terms of logistics and supply chain.

The reference model of this paper can be used as a comprehensive guide of LSS implementation in the retail supply chain and help the companies of such a significant sector for the economy.

The literature review revealed that there is a lack of publications concerning LSS implementation in retail supply chain and in the retail sector in general. The development of this model contributes to the filling of this gap by providing a complete reference model, which strives to overcome the barriers of LSS adoption in retail supply chain.

This research aims to develop a supply chain maturity model so that Mexican firms can evaluate their current supply chain operations and develop an improvement road‐map.

The Delphi Method was used with 80 experts in Mexico. The Delphi Method gathers multiple perspectives on supply chain operations and delineates a path to reach a group consensus. The results lead to the specification of a supply chain maturity model S(CM)². S(CM)² is validated through experimentation and a pilot test to verify the ability of the model to help managers assess the supply chain processes of a firm by identifying their maturity level in each model viewpoint. A pilot test with a Mexican firm demonstrates the practical implementation of the model.

The research results in a meta‐model, called the supply chain maturity model S(CM)², that describes supply chain maturity at five levels across multiple competency areas, and provides guidance to specify an improvement plan.

The meta‐model was developed in Mexico and may not apply to the operations of supply chains in other countries. Additionally, the large scope of the meta‐model calls for further testing and refinement.

The research provides a means for firms to evaluate their supply chain operations and develop improvement plans.

The paper contributes by integrating the ideas of reference frameworks, capability maturity models, and improvement processes and demonstrates how a holistic meta‐model can be developed to evaluate supply chain operations.

This paper aims to explore the utility of the manufacturing biased supply chain operations reference (SCOR) tool in services and develops a reference model for use in service organisations.

Services are considered as supply chain processes that are balanced around the capacity of the firm through the upstream sourcing processes. Empirical research is undertaken to model the design, creation and delivery processes of a management consultancy as a supply chain and to identify the potential application and benefits of the tool in a service context.

The developed model conceptualises the capacity of service firms as a resource inventory to build a service offering. This inventory‐capacity duality that describes a service firm's capabilities is applicable across a wide spectrum of the service sector. Six major processes for the design and management of service supply chains are identified: plan, source, develop, adapt, operate, and recover.

The reference framework that is developed is a proposition of how management in service supply chains could be standardised. Recommendations for future work are outlined so that an expansive reference tool can be developed to bridge the gap in service supply chain benchmarking and optimisation.

The developed process reference model can improve the overall performance of service provision systems through synchronised and well‐coordinated integration of the different supporting services into supply chains.

The paper develops an original reference architecture for business services processes, which can be used to improve the overall performance of services design and delivery.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

The purpose of this paper is to develop and validate a scale measurement of supply chain operations reference (SCOR)-related performance indicators and proposed constructs, SCOR-related performance indicators as practices within the Indian manufacturing sector.

A literature-based model on SCOR processes with five constructs and respective performance indicators was empirically validated by using a structured questionnaire. A total of 155 respondents among Indian manufacturing sector participated in this research, and the returned questionnaires were analyzed by using structural equation modeling.

The study established a relationship among the SCOR-related performance indicators and overall supply chain performance indicators (OSCPI). The moderation effect of demographic characteristics, namely, employee size, company age and type of company showed significant differences between SCOR-related performance indicators and overall supply chain indicators.

The scope of the study is limited to specific Indian manufacturing firms. The survey could not represent whole population of manufacturing sector.

The findings assist managers/supply chain practitioners in improving the performance measures identified using the standard framework, i.e., SCOR processes, overall supply chain performance measures as standard practices for Indian manufacturing sector for a profitable and sustainable business growth in global environment.

This research holds a value for suggested practices under SCOR processes and the proposed model for OSCPI, a path finder/performance measurement tool for supply chain professionals in the Indian context.

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.

The supply‐chain operations reference model (SCOR) is the first cross‐industry framework for evaluating and improving enterprise‐wide supply‐chain performance and management. The culmination of intensive work by 70 world‐class manufacturers, SCOR provides standard process definitions, terminology and metrics. It will enable companies to benchmark themselves against others, and influence future applications development efforts to ensure fit with manufacturers’ needs. The emerging process reference model concept is the logical extension of business process re‐engineering and other process improvement efforts. SCOR, which is structured in four levels, is based on a plan, source, make, deliver framework.

Blockchain technology offers a lot of potential benefits in supply chain management. However, there is a need of a reference model which addresses the gaps in existing frameworks. This paper aims to propose a blockchain technology-based reference model which can be applied to global logistics operations.

The researchers have integrated the fit-for-purpose theoretical framework and prototyping methodology to design the reference model, a blockchain-based logistics, tracking and traceability system (BLTTS). The researchers demonstrated the application of the reference model through a health-care supply chain case study. The proposed BLTTS can be implemented across global logistics operations for business performance improvement.

The research provides a framework and recommendations for global companies to consider when adopting the blockchain technology for implementation. The researchers found that the Ethereum blockchain technology improves security of the data shared within the block through the secure hashing algorithm 1. The hash algorithm ensures anonymity of the involved parties. The model integrates blockchain with supply chain thus creating transparent process, efficiency and real-time communication.

The reference model will offer a better solution to global logistics operations challenges. It provides recommendations to key stakeholders involved in logistics operations segment of the logistics industry while adopting blockchain technology. Apart from the methodological limitation of the study, the system compatibility and the layer configuration aspects might be posing potential challenges while upscaling the implementation.

The proposed reference model overcomes the drawbacks of existing models as it integrates Ethereum technology. In addition, the researchers have applied the model to demonstrate its functioning in real-time environment, which could guide for future research.

The strategic management of the supply chain encompasses the development and integration of a supply chain strategy and the evaluation of the findings. An integrated approach is required for linking the supply chain strategy with the overall strategic management of the company for it to be successful. In this regard, this paper aims to examine and compare the relative efficiency of two models, namely, supply chain operations reference (SCOR) and the balanced scorecard (BSC) for measuring the supply chain performance.

A quantitative research design is used and 800 individuals were recruited from the industrial sector in the Eastern Province of Saudi Arabia. A three-tier model was used based on BSC, data envelopment analysis (DEA), decision-making trial and evaluation laboratory (DEMATEL).

The findings have indicated that DMUs 2, 4, 6, 7, 9, 11, 13 and 15 were efficient, while the other DMUs were non-efficient. These non-efficient units were not aware of the training and development and learning and growth. The concern presents comparatively poor performance of employees at this stage even this issue was based on system performance and indifference of managers, establishing complexities in the long-term system. The relationships were determined among four dimensions of BSC by identifying the supply chain metrics and applying the DEMATEL approach.

The current study provides empirical support for the DEA network model concerning its preference and improved performance measurement as compared to BSC model.