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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.

An increase in business overheads due to the enterprise dynamics is postulated to be a cubic function of the area between the actual response of a company in the supply chain and a theoretical neutral axis, where demand equals supply. Reduction of these dynamics has become critical to the competitiveness of the company and even the whole supply chain. The impact of seven causal factors on the dynamic performance of a generic supply chain simulation with reference to the beer game is studied, guidelines for supply chain re‐engineering in order to reduce such dynamics are provided, and coordination dynamics in networking organizational structure are identified. It is then shown that reduction of coordination dynamics is an alternative solution to structural re‐engineering, e.g. shortening manufacturing and transport lead times. Explores the dynamic performance of both centralized and decentralized coordination mechanisms and proposes that there is no essential difference in performance; the latter is more flexible and allows for autonomy of different companies if it is well coordinated. Finally, proposes a decentralized coordination method by using a market mechanism.

This study aims to describe in detail, a system dynamics-based study that was used to show how a large vertically integrated aquaculture company should approach its stepwise capacity expansion program, without undermining its financial performance or affecting the performance of the value chain.

The company and its aquaculture value chain are used as case study. A system dynamics model is developed on the basis of generic end-to-end agribusiness and aquaculture supply chain models. The model includes the unique dynamics relating to an aquaculture supply chain. Also modelled is the working capital management rules of the company, with the effects of the capacity expansion program on its working capital, market share and its supply chain obligations. The model is used to determine the long-term impact of the company’s working capital management under different modes of financing and rate of expanding the capacity.

For a large vertically integrated company that wants to increase its capacity, there is a systematic approach to working capital management that can be used to avoid financial distress or value chain distortion.

Extended the scope of system dynamics modelling within multiple disciplines, namely, agribusiness supply chain finance, supply chain capacity investment, financial management in large companies, supply chain working capital management and aquaculture value chain.

The developed model can be used to manage supply chain working capital in large vertically integrated agribusinesses, and also to assess supply chain financial risk.

To enhance the model build, discrete event simulation was used to model aspects of the system. The eventual system dynamics-discrete event simulation model is a form of hybrid simulation modelling that was used to provide a deeper understanding of how supply chain financial decisions affect an entire value chain system.

The purpose of this paper is to explore the dynamics and stability of switched supply system considering the influence of the retailer competition and deteriorating items.

A discrete dynamic switched model is developed to analyze the evolution process of the switched supply chain. The existence and the local stability of the switched supply chain are analyzed using an analytical method and a parameter plot basin.

The author finds the switched supply chain will exhibit stable, periodic, and divergent behaviors with different parameters due to the system’s switching mechanism and the switched supply chain presents complex dynamics when the stable and unstable subsystem coexist.

The originality and value of the research rests on this paper considering the influence of the retailers’ competition and deteriorating items on the supply chain dynamics under stock-dependent demand. The obtained results provide the decision maker with some guidelines on how to make stable designs for the switched supply chain design according to the parameter values.

This conceptual paper aims to shed light on the nature and determinants of managerial behaviour when affected by supply chain disruptions. It aims to argue that the managerial decision‐making process is an important component in determining the eventual long‐term impact of a supply chain disruption.

The paper introduces a continuous simulation model that is based on a Bayesian robot decision‐maker. Using the system dynamics approach, it illustrates the process of evaluating competing hypotheses of functional vs dysfunctional supply chain design in a disruption scenario. Model validity is assessed by means of a case study based on secondary data.

The model provides insight into the drivers of decision‐maker confidence dynamics that are used when evaluating the competing hypotheses. Furthermore, it identifies the psychological distortions that make actual managerial inference processes different from the Bayesian robot and incorporate these adjustments into the system dynamics model. Several propositions about the nature and determinants of decision‐maker confidence are stated.

For policy makers, the paper clarifies the important moderating role of confidence in the realisation of wider implications of supply chain disruptions, especially from the perspective of industrial development, and trade and transport facilitation.

The research enhances understanding of the wider implications of supply chain disruptions, contributing to behavioural research in logistics and supply chain management.

Regulatory pressure, consumer awareness, and the quest for competitive advantage place sustainable products in today’s decision-making spotlight. The purpose of this paper is to explore supply chain dynamics as they relate to sustainable product programs and to empirically develop a framework to align efforts across the supply chain to bring sustainable products to market.

Grounded in systems design, stakeholder theory, and the theory of planned behavior, the authors conduct an inductive empirical study of 28 European and US companies.

The authors make three contributions. First, the authors identify six dimensions of product sustainability, which map to the Greenhouse Gas Protocol’s sustainability scope model. Second, the authors model relational dynamics using systems diagrams to provide a framework that: first, communicates a common understanding of product sustainability; and second, facilitates tradeoff analysis. Third, the authors elaborate behaviors needed to reduce ambiguity and compliance costs.

Managers can use the framework to assess product sustainability and evaluate tradeoffs across product dimensions and supply chain participants. Using this insight, managers can design sustainable product programs that engage supply chain participants.

By identifying dimensions, defining costs, and uncovering tradeoffs, managers can more effectively implement sustainable product programs.

The framework provides a much needed source of clarity to mitigate role ambiguity, reduce compliance costs, and promote collaborative behavior in bringing sustainable products to market.

The main streams of the supply chain are defined as material, information and financial flow. There have been many studies and practical cases regarding the flow of material and information including information sharing. However, financial flow related studies have not been widely examined relatively, compared with their importance.

The information sharing is recognized as the method that can reduce the Bullwhip effect in supply chain management. The author intends to analyze the impact of financial information sharing on the results of the supply chain.

In the point of supply chain risk management view, the author examined the impact of financial flow among the various factors that can impede the stability of the supply chain.

In this study, the author embodied the simulation regarding the impact of financial information flow on supply chain performance and stability based on the system dynamics methodology and analyzed the performance.

Assuming the supply chain, composed of supplying company, manufacturing company and sales company , the author embodied the simulation model and assumed that working capital and cash information sharing were achieved. The author embodied the model to affect the settlement conditions according to the results of financial information sharing.

This paper aims to address procurement, logistics management, inventory control and distribution of perishable items, i.e. vegetables, fruits, flowers and fishes, during the social isolation period of the Covid-19 era to identify conflicting interests among the channel members; present inventory and information sharing scenario; and reveal organizational dispute and existence of redundant, nonessential and corrupted members in the supply chain.

This study uses an exploratory investigation to evaluate the relations among the members of the supply chain of perishable food items. In this context, it is designed to investigate the field, observe the members of the existing supply chain from rural and remote places and capture their interviews to accomplish the objectives.

This study identified that although the supply chain of perishable food items is controlled truly by private parties, from a realistic view, the private–public partnership is essential where the government should play the coordinating role. In this context, continuous interaction, coordination and information sharing among the members to establish an optimum and scalable network and remove any redundant nodal points is a key success factor for managing an efficient supply chain.

Theoretical and managerial implication of this research is enormous. The existence of functional and dysfunctional conflicts in the same supply network and how it can be detrimental to the performance of the members are exposed in this study, which can be an excellent source to be investigated. Practitioners and researchers can gain a greater understanding to identify the root causes of conflicts in the existing structural dynamics, shedding light on organizational interactions, power and group behavior during the Covid-19 era.

From the light of management and inter-organizational conflicts, this is a pioneer study that has detected the redundant channel members, their source of power and how their removal can present an optimum channel with group coherence and synergistic interest.

Supply chain governance constitutes the rules, structures and institutions that guide supply chains toward various objectives, including environmental sustainability. Previous studies have provided insight into the relationship between governance and sustainability but have overlooked two crucial dimensions: power dynamics and the influence of outside actors. This paper aims to address these two gaps by measuring differential power (i.e. power asymmetries) among actors across the supply chain, including external actors.

This paper quantifies power dynamics across the entire chain through a structured survey in which supply chain participants rank their peer’s ability to affect environmental and social outcomes. This paper tests this approach by surveying 200 industry professionals (e.g. feedlot owners, retailers) and external actors (e.g. NGOs) in the US beef sector.

Respondents ranked the most powerful actors as follows: feedlot owners; processing plant owners; and regulatory agencies. Results also revealed that trade associations, retailers and cow–calf producers and ranchers perceive a sense of powerlessness. This study reveals multiple power nodes and confirms a shift in the power structure depending on which indicator respondents considered (e.g. environmental impacts vs employee safety). This study concludes that the buyer–producer dichotomy often used to assess supply chain governance fails to capture the complex dynamics among actors within supply chains.

This study demonstrates a novel approach to measure perceptions of power in supply chains. This method enables researchers to map networks of power across entire supply chains, including internal and external actors, to advance understanding of supply chain governance dynamics. Previous studies have misidentified who governs environmental outcomes in supply chains, and NGOs have overestimated the power of consumers and retailers to influence producers.

The use of industrial dynamics modelling of real‐life supply chains has only recently re‐emerged from the shadows after a lengthy gestation period. Shows that it is a powerful methodology for predicting and prioritizing methods of re‐engineering the chain in order to achieve enhanced performance when viewed from the perspective of all “players” in the chain. Building an adequate model of an existing, or proposed, real‐life supply chain requires the use of people‐based sources, observation‐based sources, and systems‐knowledge‐based sources. Illustrates each of these approaches. Concludes with predicting the benefits expected from substantial re‐engineering of an electronics products supply chain.