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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 present a mathematical model of one very flexible transport category airplane whose structural dynamics was modeled with the strain-based formulation. This model can be used for the analysis of couplings between the flight dynamics and structural dynamics.

The model was developed with the use of Hamiltonian mechanics and strain-based formulation. Nonlinear flight dynamics, nonlinear structural dynamics and inertial couplings are considered.

The mathematical model allows the analysis of effects of high structural deformations on airplane flight dynamics.

The mathematical model has more than 60 degrees of freedom. The computational burden is too high, if compared to the traditional rigid body flight dynamics simulations.

The mathematical model presented in this work allows a detailed analysis of the couplings between flight dynamics and structural dynamics in very flexible airplanes. The better comprehension of these couplings will contribute to the development of flexible airplanes.

This work presents the application of nonlinear flight dynamics-nonlinear structural dynamics-strain-based formulation (NFNS_s) methodology to model the flight dynamics of one very flexible transport category airplane. This paper addresses also the way as the analysis of results obtained in nonlinear simulations can be made. Comparisons of the NFNS_s and nonlinear flight dynamics-linear structural dynamics methodologies are presented in this work.

System dynamics is a whole-system modelling and learning approach, useful for tackling non-linear problems, such as sustainable urban development. The purpose of this paper is to review system dynamics applications in the simulation of sustainable urban development over a period from 2005 to 2017.

The analysis reveals that the number of applications of system dynamics modelling in the area of urban sustainable development increased in the analysed period. Research has changed its focus from the modelling of environmental problems to more complex models, portraying the multidimensional socio-economic processes that have an impact on the sustainability of urban development. Analysed case studies most often use the behaviour reproduction test for model validation, but without a unified approach. In most cases, modelling has been done in China, Germany and the USA, while urban development in the Eastern European countries, Africa and Latin America has not often been investigated. This paper indicates the knowledge gaps and suggests future research directions.

Papers that report the use of system dynamics modelling reveal a wide range of applications in urban sustainability. The analysis shows significant emphasis on environmental problems, while the interest for modelling social problems has been increasing during the last several years. Most of the modelled problems examine the sustainability of resources (land, water) and waste management, which are used for insights into the reasons for the system behaviour, forecasting future behaviour and policy testing.

The presented models were developed in most cases for the purpose of understanding the phenomena examined, as well as the future use of the models in policy planning. This brings us back to the need for greater stakeholder involvement, not only in the initial phase, but also during the whole modelling process, which could increase understanding, use and ownership of the models in the future, and thus increase their practical application.

The purpose of this paper is to design and develop a business dynamics model in entrepreneurial orientation for employees (EOE).

The mental model uses the casual loops, stock and flow diagrams in the business dynamics model. Hiring rate, Quit rate, Skill rate, Skill growth rate, EOE skill inventory rate, Performance rate etc. were defined and used with EOE metrics governing the model. VENSIM software package was used to simulate and validate the model using sensitivity analysis. The case study method was used to experiment a pre/post EOE training intervention with employees in an ITES organisation in India. Using a validated EOE questionnaire, data were captured from employees in an ITES organisation in Chennai, for validation of business dynamics model.

The time frame for imparting initial EOE training and retraining time after EOE training were simulated and results were summarised.

Future researchers can extend this work and apply in other industries and geographies also. Any organisation can customise and utilise the business dynamics EOE model as per their requirements

The model facilitates the measurement of both individual employee performance as well as organisational performance. The EOE business dynamics model contributes to the development of two indices namely entrepreneurial orientation for employees index (EOEI) and organisational performance index (OPI). The policy planners, human resource strategists, management consultants can utilise the business dynamics EOE model for effective decision making, budgetary allocations towards training initiatives and so on.

The model is a novel and first of its kind using business dynamics in entrepreneurial orientation for employees. The human resource planners can use this model for forecasting the man power needs as well as skill development, employee empowerment and organisational development.

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).

The purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.

The extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.

A process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.

The study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.

The maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.

This research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.

This paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work management. The use of a system dynamic model and simulation incorporating 4IR technologies adds value on the maintenance work management effectiveness.

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.

The study of group dynamics was central to the field of organization development at its inception. More recently, there has been a move away from considering irrational and unconscious dynamics in organizational life and more attention focused on rational and observable behavior that can be measured and quantified. We introduce the tool, Beneath the Surface of the Burke-Litwin Model, that invites consideration of how the overt behavior of individuals, groups, and entire systems is linked to covert dynamics. This more comprehensive view of organizational life provides scholar-practitioners with a systemic perspective, a view of covert dynamics by organizational level, and support for the ongoing development of one’s capacity for using self-as-instrument when engaged in organization development and organization change efforts.