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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 explore the concept of stakeholder dynamics and to show how stakeholders demonstrate their dynamic nature in the power/interest matrix. This, in turn, should assist project management and stakeholder management practitioners predict the behavior of different stakeholder groups in their projects, and strategize their stakeholder management approaches accordingly.

The findings in this paper are based on data collected from 12 diverse projects from five different business sectors executed in Norway by means of an online, closed-question questionnaire, which was analyzed using various statistical approaches.

Stakeholder dynamics is a contextual phenomenon, which takes different forms and shapes from one stakeholder group to the other, from one industry or business sector to the other, and even from one project to the other within the same industry or business sector. The stakeholder group of user(s) was the most dynamic in Norwegian projects based on their continuous repositioning on the power/interest matrix from one project phase to the other. Environmental activists/organizations were the least dynamic stakeholder group in the full sample of projects.

This paper presents the first more comprehensive empirically based findings about stakeholder dynamics in projects the authors have been able to find. The study gives project management practitioners insights from various industries and business sectors into how stakeholders change position over time. It also shows that the two attributes of power and interest are strongly connected and affect one another, which might make it possible to control and design a safer and less complex stakeholder environment for future projects.

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.

Logistics systems used in companies that perform multiple roles are expected to be able to manage conflicting objectives. Nevertheless, the literature suggests that many existing logistics performance measurement system (PMS) frameworks are not optimized to provide mechanisms to reveal dynamic relationships between conflicting performance indicators. The purpose of this paper is to develop a new logistics PMS by linking the system dynamics model with a set of balanced performance indicators.

The logistics PMS is developed through a literature review and case study of a company that plays multiple roles. The interrelationships between logistics factors and their links to end results are modeled in diagrams through in-depth interviews with stakeholders. The developed model is then used to build a simulation tool to analyze factors that cause poor performance.

The new logistics PMS developed by incorporating system dynamics offers decision makers ways to identify dynamic relationships among factors and conflicting indicators, in turn helping them to understand holistic logistics performance, objectively analyze why logistics systems perform in a certain way and foster a common shared view.

Stakeholders of companies that play multiple roles can use the new PMS model to comprehensively evaluate the performance of logistics systems. In addition, the increased visibility of logistics systems may support decision-making while preventing local optimization.

A logistical PMS based on the system dynamics model for managing logistics systems in companies performing multiple roles has not yet been identified. This paper fills this theoretical gap and contributes to the academic literature by proposing a novel PMS model based on the system dynamics model to address the limitations of existing PMS frameworks.

This research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences model in achieving the success of a business, industry and management. It also identifies the real and major differences between static and dynamic business management models and the detailed factors that influence them. Later, this research investigates the benefits/advantages and limitations/disadvantages of some research studies. The studies conducted in this research put more emphasis on the capabilities of system dynamics (SD) in modeling and the ability to measure, analyse and capture problems in business, industry, manufacturing etc.

The research presented in this work is a qualitative research based on a literature review. Publicly available research publications and reports have been used to create a research foundation, identify the research gaps and develop new analyses from the comparative studies. As the literature review progressed, the scope of the literature search was further narrowed down to the development of SD models. Often, references to certain selected literature have been examined to find other relevant literature. To do so, a supporting tool (that connects related articles) provided by Google Scholar, Scopus, and particular journals has been used.

The dynamic business and management model is very different from the static business model in complexity, formality, flexibility, capturing, relationships, advantages, innovation model, new goals, updated information, perspective and problem-solving abilities. The initial approach of a static system was applied in the canvas business model, but further developments can be continued with a dynamic system approach.

Based on this study, which shows that businesses are developing more towards digitalisation, wanting the ability to keep up with the era that is moving so fast and the desire to increase profits, an instrument is needed that can help describe the difficulties of the needs and developments of the future world. This instrument, or tool of SD, is also expected to assist in drawing future models and in building a business with complex variables that can be predicted from the beginning.

This study will contribute to the SD study for many business incubator research studies. Many practical in business incubator management to have a benefit how to achieve the business performance management (BPM) in SD review.

The significant differences between static and dynamics to be used for business research and strategic performance management. This comparative study analyses some SD models from many authors worldwide. Their goals behind their strategic business models and encounter for their respective progress.

The purpose of this paper is to examine the knowledge dynamics process based on the energy metaphor and the thermodynamics framework. Knowledge dynamics is analyzed as a transformational process that goes beyond the Newtonian logic used to date.

The research design is based on metaphorical thinking, critical analysis of the mostly used knowledge metaphors to date, and the logic of thermodynamics, which is the science of energy transformation.

Knowledge is conceived as a field, composed of three fundamental forms: rational knowledge, emotional knowledge and spiritual knowledge. Each form of knowledge can be transformed into another form, thus generating an iterative and interactive dynamics. The unity of knowledge is supported by the brain’s organic structure.

Understanding knowledge dynamics as a transformational process helps managers in their problem-solving and implementation of strategies in their organizations. Knowledge dynamics is fundamental to the learning and unlearning processes, and for stimulating innovation. Knowledge dynamics, as a transformational process, is influencing both organizational behavior as well as consumers’ behavior.

The present research uses for the first time a thermodynamics approach in understanding and explaining the knowledge dynamics, which is a transformational process of three fundamental forms of knowledge: rational, emotional and spiritual.

Several different simulation techniques, such as discrete event simulation (DES), system dynamics (SD) and agent-based modelling (ABM), have been used to model complex construction systems such as construction processes and project management practices; however, these techniques do not take into account the subjective uncertainties that exist in many construction systems. Integrating fuzzy logic with simulation techniques enhances the capabilities of those simulation techniques, and the resultant fuzzy simulation models are then capable of handling subjective uncertainties in complex construction systems. The objectives of this chapter are to show how to integrate fuzzy logic and simulation techniques in construction modelling and to provide methodologies for the development of fuzzy simulation models in construction. In this chapter, an overview of simulation techniques that are used in construction is presented. Next, the advancements that have been made by integrating fuzzy logic and simulation techniques are introduced. Methodologies for developing fuzzy simulation models are then proposed. Finally, the process of selecting a suitable simulation technique for each particular aspect of construction modelling is discussed.

The current paper aims to address the management dynamics of civil society organisations (CSOs) in volatile contexts. Along with analysing CSOs’ management dynamics at a general level, it also offers specific insights into their management strategies in response to COVID-19 pandemic.

This study uses a qualitative research design, where in-depth case studies are undertaken with four CSOs operating in post-conflict volatile Sub-Saharan African economies of Liberia and Sierra Leone.

Findings revealed that multiple stakeholder management plays an important role in social value creation by CSOs. The findings further state that, in volatile contexts, CSOs appear to have more legitimacy than state functionaries due to their capabilities in dealing with political pressures and conflict sensitivities. The findings also revealed that case CSOs operating in Liberia and Sierra Leone were quick to respond to the COVID-19 pandemic by adjusting their working routines accordingly by switching to online working where possible and repurposing their management strategies. This repurposing of management strategies focussed on minimising economic disruptions caused by COVID-19 and continuing to create social value by helping youth and farmers particularly.

This paper contributes to the extant literature by being one of the first studies, highlighting the specificities of CSO management in volatile (especially Sub-Saharan African post-conflict) contexts and contributes to the literature streams on multiple stakeholder management and social value creation. To the best of the authors’ knowledge, the current paper is also one the first study to address the management strategies of case CSOs in response to the ongoing Covid-19 pandemic in Liberia and Sierra Leone.

Effective human resource planning allows management to recruit, develop and deploy the right people at the right place at the right time, to meet organizational internal and external service level commitments. Firms are constantly looking out for strategies to cope with skill shortages that are particularly acute in the “knowledge intense” industries due to high staff turnover. The purpose of this paper is to describe how system dynamics modeling allows management to plan to hire and develop right level of skills and competencies in the organizational inventory to meet desired service level targets.

An integrated system dynamics framework is used to develop various feedbacks and feed forward paths in the context of competence planning and development. The model is mapped onto an overseas process industry company's recruitment and attrition situations and tested using real data.

Strategies for human resource planning are developed by conducting time‐based dynamic analysis. Optimum design guidelines are provided to reduce the unwanted scenario of competence surplus and/or shortage, and therefore, to reduce disparity in between service level needs and availability of right competencies.

System dynamics type of modeling is usually suited for medium to long range timescale (two to five years scenarios). There is a need for the model to be tested in a high turnover industry such as IT to test its efficacy in short‐term time scale, where shortage in required talent is more acute. Also this model is tested for measuring the generic skill‐sets in here. There is a need to test the model for a mixture of generic and specialized skills‐set in a specific business operation.

The authors anticipate that system dynamics modeling would help the decision makers and HR professionals to devise medium to long‐term human resource planning strategies to anticipate and meet the service level expectations from the internal and external customers.

Such planning exercise will avoid the situation of customer dissatisfaction due to right competence shortages. Also this will reduce the staff surplus scenario that usually leads to knee‐jerk reaction to lay‐off unwanted skills, which is usually a costly exercise and impacts negatively on staff morale.

Use of the systems dynamics model introduced here is a novel way to analyze human resource planning function to meet the target service level demands. The idea that an organization can estimate the service level requirements for medium to long‐term situations, and conduct what‐if scenarios in a dynamic sense, can provide valuable information in strategic planning purposes.

The purpose of this paper is to investigate the dynamics of waste production in the product structure of a wire and cable manufacturing company that deals with a high-volume waste and proposes strategies that reduce product costs.

The methodology for this research is descriptive and expressive modeling in a way that theories of research have been extracted from literature and field studies have been done based on the company specialists’ views. The system dynamics has been used to analyze and model waste in a wire and cable firm.

Applying SD approach in the paper not only helps to identify the structure of producing the waste, which is complicated and dynamic, but also proposes ways to reduce them and illustrate the applied results. The second outcome shows that in the waste management there should be a digression in a managerial view to the systematic thought. In the other word as in the system dynamic approach, the expansion of the model boundary is one of the objectives to find appropriate solution. The behavior model showed that in the waste management the most effective way to reduce the waste is to buy qualified raw material which is out of the firm.

This paper not only shows that the system dynamic approach is appropriate for the waste management problems which are complicated and dynamic but also proved that in the waste management system the solutions are not always near or within the firm. They should be identified by a systematic approach.