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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.

The purpose of this paper is to shed light on improving value creation from intellectual capital (IC) through reducing causal ambiguity and finding effective IC interventions.

First, several guiding rules demonstrating the contribution of system dynamics (SD) to the field of IC management are introduced. Second, evidence for modelling resource dynamics is provided across a knowledge-based industry, insurance. Third, a management problem of an insurance company is modelled and then simulated using SD tools to monitor and improve the alignment of key resources with the firm’s market growth strategy.

The modelling and further simulation practice demonstrated the advantages of applying SD for analysing resource management problems to identify the critical IC components, intervention points and decision rules that may stimulate value-creating loops. Specifically for the case of an insurance company’s failure in market growth, it led to recognising the critical role of agency sales productivity as a key component of company’s relational capital and the intellectual liabilities that can lead to value destruction.

Reducing causal ambiguity in IC value creation through modelling and simulating firm resource dynamics is the main contribution of this paper. It enables finding the best intervention points for developing IC-based initiatives to stimulate value-creation mechanisms, as well identifying possible points of value destruction.

Interventions to support gender equality in organisations are often unsuccessful. Stakeholders disagree about the causes and problem definition of gender equality or pay lip service to the principle of gender equality, but fail to implement gender equality in practice. The purpose of this paper is to examine participatory modelling as an intervention method to support stakeholders in: reaching a shared problem definition and analysis of gender inequality; and identifying and implementing policies to tackle gender inequality.

The authors apply participatory modelling in case studies on impediments to women’s careers in two Dutch universities.

This study shows that participatory modelling supported stakeholders’ identification of the self-reinforcing feedback processes of masculinity of norms, visibility of women and networking of women and the interrelatedness between these processes. Causal loop diagrams visualise how the feedback processes are interrelated and can stabilise or reinforce themselves. Moreover, they allow for the identification of possible interventions.

Further testing of the causal loop diagrams by quantifying the stocks and the flows would validate the feedback processes and the estimated effects of possible interventions.

The integration of the knowledge of researchers and stakeholders in a causal loop diagram supported learning about the issue of gender inequality, hereby contributing to transformative change on gender equality.

The originality of the paper lies in the application of participatory modelling in interventions to support gender equality.

The purpose of this paper is to adopt a learning-based approach to portray the impact of Covid-19 on state school services in Italy, with a specific focus on the role of street-level bureaucrats and the triggering of co-creative processes.

The study proposes a qualitative system dynamics (or SD) approach describing the implementation of Covid-related educational policies in Italy. An insight model, made of causal loop diagrams, integrates the selected multi-disciplinary literature and institutional sources, secondary data from national and local reports (about Palermo, the fifth largest metropolitan city in Italy) and insights from a panel of school street–level bureaucrats.

The study provides an insight into the impacts of governmental decisions (school closures and the subsequent need to activate distance learning during the first wave of Covid-19) at a local level. Specifically, it portrays the influences of managerial and professional discretion, infrastructural equipment and socio-economic factors favouring/deterring co-creative educational processes.

The SD model highlights vicious/virtuous circles in policy implementation and suggests new managerial paths for education, more routed towards public value creation and less attached to bureaucratic procedures and the unquestioning application of performance culture.

The paper proposes an original and holistic approach to dealing with policy making in education and its managerial features. The research findings are considered important, not only to face the current emergency, but also to pro-actively think about the post-Covid era.

The purpose of this paper is to analyse the complexities involved in implementing continuous improvement (CI) initiatives in public sector organisations.

This paper is based on a case study of a private sector organisation based in New Zealand and its efforts in implementing CI activities in its public sector clients. In total, 12 semi-structured interviews were followed by group model building exercises based on system dynamics that led to the development of a systems model.

CI initiatives using public-private partnerships were successful in steadily improving the operational excellence and end-user satisfaction in this case. But client satisfaction was only increasing at a much slower rate. The underlying structure responsible for this behaviour was captured using a causal loop model and explained using seven interacting feedback loops.

The major limitation of this research is that it is confined to one private sector organisation and its public sector clients. Thus, the generalisability cannot be utilised for future reference.

This paper illustrates the development of strategic initiatives based on a participative model building approach. It provides a practical method for initiating long-term structural changes while managing CI activities in public sector organisations.

This paper contributes a New Zealand case of public-private partnerships for implementing CI initiatives. It illustrates a systems approach to analyse the complexities involved in implementing CI initiatives in public sector organisations.

The challenges facing the productivity of Nigeria's refineries have generated much academic discourse. This study was carried out to develop a causal loop model showing the interrelationships of the multiple factors driving the poor performance of the refineries. Using a framework of political, economic, social and technical (PEST) factors, the developed model helped identify leverage points for policy intervention in the system.

A mixed-method approach was adopted to collect quantitative data from 118 refinery workers and qualitative data from 14 participants polled from the various Nigerian National Petroleum Corporation (NNPC) subsidiaries. The quantitative data were analysed through structural equation modelling (SEM) to prioritise the more significant factors, while the qualitative data were analysed by content analysis to further validate the questionnaire findings and provide clearer contexts for the operationalisation of the factors.

The structural equation model identified several PEST factors such as government interference, political indecision, funding issues, spare parts costs, pipeline vandalism, oil theft, maintenance issues as some of the significant factors affecting the performance of the refineries. The interviews validated these findings and provided richer contexts on how these factors operate within system. A causal loop model was developed based on these findings to identify key leverage points upon which policy intervention through best practice, management autonomy and stakeholder satisfaction was proposed to address these challenges.

The study uncovers that the factors which affect the performance of the refineries have significant multiple interrelationships, the understanding of which is crucial for developing effective solutions by policymakers.

The findings of this study lay important foundations for a deeper understanding of how PEST factors interact to drive suboptimal performance across NNPC refineries.

The causal loop model developed in this study provides a new approach to viewing and analysing the associated factors affecting the performance of Nigeria's refineries from a non-linear perspective.

This study aims to identify the most relevant causal factors and the feedback loops of the dynamics between Tuta absoluta incidence in tomato crops and farmers' reactions to the problem. The authors seek to develop a conceptual model based on farmers' know-how to address crop damage by T. absoluta at a local and regional levels in order to determine how to confront this problem in the tomato-growing region of Sáchica, Colombia.

Community-Based System Dynamics (CBSD) is a participatory research methodology in which a group of stakeholders identifies relevant variables and the cause-effect relations among them which are then arranged into a causal loop diagram. The authors implemented this methodology in a workshop, focused on the farmers' insights related to the pest situation at the local and regional level, to achieve a causal loop diagram that explained pest dynamics and their potential management.

The relevant factors for the presence of T. absoluta, seen in the causal loop diagram, vary regionally and locally. At the local level, the pest impacts tomato production, farmers' well-being and their cash flow, while at the regional level, it affects market dynamics and environment and promotes regional coordination among farmers. Farmers propose product innocuity as a key regional objective. They also proposed establishing a planting calendar and census of greenhouses to control the pest throughout the region and the tomato supply.

First, the synthesized model could not be validated with the farmers due to the COVID 19 epidemic. However, the authors held sessions with experts to analyze each result. Second, decision-makers from the local government did not participate in the workshop. Nevertheless, the approach of the workshop was aimed at understanding the mental models of the farmers since they are the ones who decide how pests are managed. Finally, even though farmers showed interest in projects aimed at proposing area-wide, long-term and wide pest control strategies, there is a risk that they will not adopt the proposed changes, due to risk aversion.

CBSD has not been applied to agricultural systems to analyze impacts from pests at the local and regional levels. The results of this study contribute to designing future interventions for pest control in the region, along with the factors which may turn out to be “side effects” or unwanted results. To design pest control interventions at a regional level, a sound understanding of the variables or factors that control the system dynamics at various levels is required. This study represents the first step towards that end.

The purpose of this paper is to adapt a causal modelling approach to investigate the organisational collaboration and information technology (IT) project management issues concerning the planning and adoption of inter‐organisational IT systems across NHS hospital pathology departments.

The researchers adopted an interpretive research approach utilising qualitative methods and in particular template analysis. Themes and categories were initially derived from a review of the literature based on critical success factors from enterprise resource planning (ERP) projects.

A causal loop modelling approach was adapted to define key linkages between success factors. This highlighted virtuous and vicious cycles associated with IT project management and team collaboration – influencing the adoption process of large‐scale integrated IT systems.

Single case studies can be problematic in terms of generalising from the research. The study had a limited number of interview participants due to the focus on strategic management. Future studies could extend the number of stakeholders involved and also focus on end‐users of services, such as clinicians in primary care.

The discussion and conclusions assess the appropriateness and utility of using a causal modelling approach, and an adapted causal loop model, to inform more effective approaches to IT planning, project management, team collaboration and adoption of integrated systems.

The findings indicate that a more enhanced understanding of project team collaboration involving technical, administrative and clinical stakeholders has the potential to inform more effective strategies for modernisation of hospital clinical services such as pathology.

This study investigates the anatomy of a high‐profile IT project under the umbrella of strategic modernisation of health services. Privileged access to key stakeholders has enabled the development of a causal model for IT project collaboration and management. This will form the basis for further development of more refined models to enhance project outcomes in the future.

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.

The causal relationships between factors related to building information modelling (BIM) adoption in the Thai architectural and engineering design industry are presented. A model is proposed to explain and forecast the adoption behaviours in the industry. This paper aims to define and compare policies for the adoption of BIM using a company case study.

The system dynamics (SD) approach was used. Four companies were selected as case studies for formulating a causal loop diagram. One of the companies was chosen for collecting the quantitative data for the SD model simulation during a ten-month study period. Tests of model validation were conducted for confirmation of, and confidence in, the model.

An SD model was formulated for studying BIM adoption. Four policies of BIM adoption were defined to compare with the normal operating business for the company and used as the case study. The quantitative outputs of the SD model revealed that BIM training was the best choice to optimise company performance.

The case studies comprised architectural and engineering design companies in Thailand; therefore, the findings may not be generalisable to other Thai construction organisations or to other countries.

The methodology and findings can be used as guidelines for other organisations or countries that are considering BIM adoption to improve their operations.

The paper highlights the optimum policy for BIM adoption to achieve efficient and effective implementation.