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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.

Research on self-regulation has tended to focus on goal-related performance, with limited attention paid to individuals’ affect and the role it plays during the goal-striving process. In this chapter we discuss three mechanisms to integrate affect within a control theory-based self-regulation framework, and how such integrations inform future research concerning employee stress and well-being. Specifically, affect can be viewed as a result of velocity made toward one’s desired states at work. Fast progress results in positive affect, which enhances employee well-being and reduces the detrimental effects associated with exposure to occupational stressors. On the other hand, slow or no progress elicits negative affect, which induces employee distress. Second, affect can also be considered an input of self-regulation, such that employees are required to regulate their emotional displays at work. Employees who perform emotional labor compare their actual emotional display against the desired display prescribed by display rules. Third, affect can function as a situational disturbance, altering employees’ perceptions or assessments of the input, comparator, and output for other self-regulatory processes.

Electrohydraulic servos have been widely applied to the task of precisely positioning heavy loads. Common examples from the military field are radar antenna and rocket engine swivelling drives. In the commercial area large machine tool position controls are a prime example. Even with relatively substantial driving linkages, the inertia of these loads frequently results in low natural frequency of the output load‐driver structure. Very commonly this is combined with extremely small natural damping forces. Natural frequencies from 5 to 20 c.p.s. with damping ratios in the oder of 0·05 critical are typical. This combination of resonance with low damping creates a severe stability and performance problem for the electrohydraulic servo drive. Efforts to deal with this problem have centred on introducing artificial damping. In the past this has been done either by use of a controlled piston by‐pass leakage path or by use of a load force feedback path. The former technique is simple but wasteful with respect to power and inherently involves serious performance compromises. The latter technique can be arranged to be unassailable on theoretical grounds. However, it leads to severe system complication and large incremental hardware requirements. Questions of a reliability penalty are raised. A new technique has been developed which possesses all the performance advantages of load feedback without serious increase in complexity. Called Dynamic Pressure Feedback, this technique involves only a modification of servo valve component. It utilizes for feedback purposes the inherently high load forces developed as piston differential pressures, insuring reliable operation. The pressures needed are already available at the valve. No new hydraulic or electrical connexions are added. The performance advantages adduced for the Dynamic Pressure Feedback Servo Valve have been confirmed in carefully controlled comparative tests on a typical load system. Correspondence of test data with analytical prediction is good. A sufficient number of Dynamic Pressure Feedback Servo Valves have been produced on a pilot production line and installed in several applications in the field to insure producibility and design reliability.

The Sustainable Development Goal 12 (SDG 12) that aims at ensuring sustainable consumption and production patterns is dependent on efficient and effective transport infrastructure. But many new transport infrastructure projects are delayed due to complex conflicts between multiple stakeholders with different stakes. This chapter illustrates how a multi-stakeholder participation process based on systems thinking can be used to generate a shared mental model of stakeholders in conflict. Using the systems thinking and modelling methodology, the complex problem situation is first structured by identifying and analysing the stakeholders. Then a participative approach is employed to develop a systems model that captures the underlying structure responsible for the problem situation. Finally, three strategic interventions are formulated by the stakeholders to improve the system behaviour in the long term. In this chapter, both quantitative and qualitative data were collected using structured interviews, focus groups and secondary sources. Using a New Zealand transport infrastructure project, the chapter shows that effective multi-stakeholder participation, capable of leading to some form of multi-stakeholder partnership, can help reduce delays in a transport infrastructure project. Practically, the chapter provides a framework that can reach an accommodation between conflicting stakeholders. Overall, this chapter contributes New Zealand–based empirical research to the literature on multi-stakeholder participation for achieving SDG 12 within the context of Agenda 2030.

This paper aims to identify the interaction of different intervention strategies implemented in Malaysia towards flattening the curve of COVID-19 cases. Since the outbreak of COVID-19, many approaches were adopted and implemented by the Malaysian government. Some strategies gained quick wins but with negative unintended consequences after execution, whereas other strategies were slow to take effect. Learning from the previous strategies is pivotal to avoid repeating mistakes.

This paper presents the cause, effect of and connection among the implemented COVID-19 intervention strategies using systems thinking through the development of a causal loop diagram. It enables the visualisation of how each implemented strategy interacted with each other and collectively decreased or increased the spread of COVID-19.

The results of this study suggested that it is not only essential to control the spread of COVID-19, but also to prevent the transmission of the virus. The Malaysian experience has demonstrated that both control and preventive strategies need to be in a state of equilibrium. Focusing only on one spectrum will throw off the balance, leaving COVID-19 infection to escalate rapidly.

The developed feedback loops provided policy makers with the understanding of the merits, pitfalls and dynamics of prior implemented intervention strategies before devising other effective intervention strategies to defuse the spread of COVID-19 and prepare the nation for recovery.

The authors developed a pedagogical framework called the game-based structural debriefing (GBSD) to leverage the affordances of video games for teaching systems thinking. By integrating system dynamics visualization tools within a set of debriefing activities, GBSD helps teachers make systems thinking an explicit goal of the gameplay and learning when they use available educational games in the classroom.

This study uses a design-based research methodology with the goals of validating GBSD and investigating the utility of GBSD across different contexts as a design source to develop game-based curriculum. Over the course of 12 months, the authors conducted one focus group interview and three design workshops with participating teachers and master teachers. Between the workshops, the team rapidly iterated the framework, as well as curricular materials, in collaboration with the teachers.

The authors developed a curriculum unit that integrates systems dynamics visualization tools and a video game for middle school life science ecosystem curriculum. The unit was implemented by the three teachers who participated in the co-design. The implementations confirmed the flexibility of the unit because teachers created additional instructional materials that supplemented the GBSD protocol and addressed the unique limitations and needs of their classrooms.

GBSD builds on system dynamics, which is a distinct academic discipline and methodology, and it uses its visualization tools, which are not widely used in the systems thinking educational literature. GBSD is also unique, in that it applies these tools within the debriefing activities developed for an off-the-shelf educational game. This paper illustrates how a design framework can be used to support teachers’ thoughtful integration of games in curriculum development.

Hyperconnectivity and supercooperation among partners within the mobile value chain are crucial factors for sustainable growth of the mobile ecosystem. This study aims to identify the complex structure of hyperconnectivity and supercooperation underlying revenue sharing practices and the actions and reactions of Chinese mobile video triads.

This study uses the causal loop diagram and system dynamics simulation to demonstrate the feedback causal structure wherein the revenue sharing (RS) rule adjustments trigger interactions among participants (e.g., MNOs, SPs and CPs) in mobile video service triads, leading to fluctuations in the number of mobile video users and total revenue in the mobile video value chain.

Change of RS rules among value chain participants is an incentive for achieving the sustainability of the mobile ecosystem, as examined using a system dynamics (SD) simulation. However, from the perspective of a tri-partite mobile value chain, the “accidental adversary” system archetype caused by adjustment of RS rules has an unintended negative impact on counterparts in the mobile ecosystem value chain.

This study analyzes a complex feedback causal structure based on structural interdependencies among growth, limiting and relaxing loops in the Chinese mobile video ecosystem. The result of SD simulation suggests strategic alternatives such as the “growth and underinvestment” systems archetype to overcome “limits to growth”. Moreover, this study explores the accidental adversary archetype in complex and complicated mobile service triads as an impediment to achieving sustainability of the mobile ecosystem.

This bibliometric mapping study aimed to provide comprehensive insights into the global research landscape of cybernetics. Utilizing the biblioshiny function in R Studio, we conducted an analysis spanning 1958 to 2023, sourcing data from Scopus. This research focuses on key terms such as cybernetics, cybernetics systems, complex adaptive systems, viable system models (VSM), agent-based modeling, feedback loops and complexity systems.

The analysis leveraged R Studio’s biblioshiny function to perform bibliometric mapping. Keyword searches were conducted within titles, abstracts and keywords, targeting terms central to cybernetics. The timespan, 1958–2023, provides a comprehensive overview of the evolution of cybernetics-related literature. The data were extracted from Scopus to ensure a robust and widely recognized source.

The results revealed a rich and interconnected global research network in cybernetics. The word cloud analysis highlights prominent terms such as “agent-based modeling,” “complex adaptive systems,” “feedback loop,” “viable system model” and “cybernetics.” Notably, the journal Kybernetes has emerged as a focal point, with significant citations, solidifying its position as a key source within the cybernetics research domain. The bibliometric map provides visual clarity regarding the relationships between various concepts and their evolution over time.

This study contributes original insights by employing advanced bibliometric techniques in R Studio to map the cybernetics research landscape. The comprehensive analysis sheds light on the evolution of key concepts and the global collaborative networks shaping cybernetics research. The identification of influential sources, such as Kybernetes, adds value to researchers seeking to navigate and contribute to the dynamic field of cybernetics. Furthermore, this study highlights that cybernetics not only provides a useful framework for understanding and managing major economic shocks but also offers perspectives for understanding phenomena in various fields such as economics, medicine, environmental sciences and climate change.

This paper aims to focus on the development of a “dynamic Balanced Scorecard” and to demonstrate that matching the traditional Balanced Scorecard (BSC) architecture with system dynamics principles offers better support for strategic management decisions.

The paper is based on a case study related to a service‐based business. The maps, the mathematical model and the BSC developed according to system dynamics modelling principles are discussed.

A system dynamics‐based BSC, particularly if embedded into a management flight simulator, would allow exploration and understanding of features of complexity and dynamics, consideration of feedback loops rather than unidirectional causality, the use of mapping tools for a more comprehensive design of the strategy maps, the facilitation of a process of organisational learning; and support for policy design and strategic analysis performed by managers.

The value of this paper is two‐fold: first, it shows that by using system dynamics modelling principles it is possible to overcome positively some limitations of the original BSC framework; second, the paper provides information and suggestions that are helpful for companies that are interested in developing strategic management systems based on both BSC architecture and on system dynamics principles and simulation tools (e.g. the management flight simulator).