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Book part
Publication date: 20 October 2015

Mohammad Shamsuddoha

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from…

Abstract

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.

Details

Sustaining Competitive Advantage Via Business Intelligence, Knowledge Management, and System Dynamics
Type: Book
ISBN: 978-1-78560-707-3

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Article
Publication date: 4 August 2020

Fengjun Liu, Zhengkui Lin and Yi Qu

Although researchers have demonstrated a keen interest in knowledge collaboration in online encyclopedias, previous studies have seldom explored the dynamic interrelations…

Abstract

Purpose

Although researchers have demonstrated a keen interest in knowledge collaboration in online encyclopedias, previous studies have seldom explored the dynamic interrelations in online encyclopedias over time that involve the iteratively melding of individual cognitive system and knowledge collaboration system. Therefore, this paper aims to reveal the structure and dynamics of knowledge collaboration in online encyclopedias from a perspective of system dynamics (SD).

Design/methodology/approach

This paper proposes a general activity system of knowledge collaboration in online encyclopedias based on Engeström’s activity theory. According to the SD methodology proposed by Forrester, this study develops a holistic SD model by identifying interactions of knowledge collaboration factors based on behavioral theories; validating the SD model by structural tests and behavior tests involving historical data of English Wikipedia; and conducting simulation to capture the interactive dynamics of the salient factors of knowledge collaboration.

Findings

According to the SD methodology, this study develops and validates an SD model to explore interesting dynamic interrelations among core factors (contributors, conflicts, discussions, entries quantity and entries quality) that are neglected by previous research. The results show that there is a significant negative feedback relationship between inactive contributors and entries quality, between contributors and conflicts and between edit conflicts and entries quality. There is a complicated nonlinear feedback relationship between active contributors and entries quality, and between edit conflicts and discussions.

Originality/value

Different from prior empirical studies that normally investigate the unidirectional linear relationships among prominent factors of knowledge collaboration in online encyclopedias from a static perspective, this study captures a dynamic picture of their interrelations by unfolding their behavior patterns over time. The main contribution of this study is to develop a holistic SD model and to reveal and elaborate on the complex dynamics involved online encyclopedias based on activity theory.

Details

Kybernetes, vol. 50 no. 6
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 21 May 2021

Sungjoo Hwang, Seungjun Ahn and SangHyun Lee

Both system dynamics (SD) and agent-based modeling (ABM) have been used in simulation-based group dynamics research. To combine the advantages of both simulation…

Abstract

Purpose

Both system dynamics (SD) and agent-based modeling (ABM) have been used in simulation-based group dynamics research. To combine the advantages of both simulation approaches, the concept of SD-ABM hybrid simulation has been proposed. However, research efforts to compare the effectiveness of modeling approaches between the hybrid and non-hybrid models in the context of group dynamics study are rare. Against this background, this study aims to propose an agent-embedded SD (aeSD) modeling approach and demonstrate its advantages when compared to pure SD or ABM modeling approaches, based on a research case on construction workers’ social absenteeism.

Design/methodology/approach

The authors introduce an aeSD modeling approach to incorporate individual attributes and interactions among individuals in an SD model. An aeSD model is developed to replicate the behavior of an agent-based model previously developed by the authors to study construction workers’ group behavior regarding absenteeism. Then, the characteristics of the aeSD model in comparison with a pure ABM or SD model are demonstrated through various simulation experiments.

Findings

It is demonstrated that an aeSD model can capture the diversity of individuals and simulate emergent system behaviors arising from interactions among heterogeneous agents while holding the strengths of an SD model in identifying causal feedback loops and policy testing. Specifically, the effectiveness of the aeSD approach in policy testing is demonstrated through examples of simulation experiments designed to test various group-level and individual-level interventions to control social absence behavior of workers (e.g. changing work groupings, influencing workgroup networks and communication channels) under the consideration of the context of construction projects.

Originality/value

The proposed aeSD modeling method is a novel approach to how individual attributes of agents can be modeled into an SD model. Such an embedding-based approach is distinguished from the previous communication-based hybrid simulation approaches. The demonstration example presented in the paper shows that the aeSD modeling approach has advantages in studying group dynamic behavior, especially when the modeling of the interactions and networks between individuals is needed within an SD structure. The simulation experiments conducted in this study demonstrate the characteristics of the aeSD approach distinguishable from both ABM and SD. Based on the results, it is argued that the aeSD modeling approach would be useful in studying construction workers’ social behavior and investigating worker policies through computer simulation.

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Article
Publication date: 9 January 2017

Amir Zakery, Abbas Afrazeh and John Dumay

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.

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Journal of Intellectual Capital, vol. 18 no. 1
Type: Research Article
ISSN: 1469-1930

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Book part
Publication date: 24 July 2020

Jacqueline Y. Sánchez-García and Carlos López-Hernández

This chapter introduces the negotiagram as a tool that contributes to the study of the negotiation process. The negotiagram is a construct that facilitates an…

Abstract

This chapter introduces the negotiagram as a tool that contributes to the study of the negotiation process. The negotiagram is a construct that facilitates an understanding of interactions between negotiators and their temporal context. Given that the negotiation process can be seen as a system, system dynamics (SD) are used to explore the interactions and complexities in the proposed construct, especially when it comes to circumstances with a high degree of uncertainty, such as an economic crisis or disruptive innovation in the industry. The results suggest that the causal configurations that SD establish lead to non-linear relationships and feedback loops that direct behavior within negotiation, an understanding that further leads stakeholders to a holistic vision and the opportunity to change, manage, and control a negotiation as a system.

Details

Strategy, Power and CSR: Practices and Challenges in Organizational Management
Type: Book
ISBN: 978-1-83867-973-6

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Article
Publication date: 25 January 2019

Jun Wang, Ruilin Zhang, Jin-Xing Hao and Xuanyi Chen

Although researchers have demonstrated a significant interest in motivation factors of knowledge collaboration, previous studies have seldom explored the dynamic…

Abstract

Purpose

Although researchers have demonstrated a significant interest in motivation factors of knowledge collaboration, previous studies have seldom explored the dynamic interrelations in virtual communities of practice (VCoPs) over time that involve the iteratively melding of knowledge collaboration motivations and behaviours. Therefore, this study aims to unveil the interactive dynamics amongst motivation factors of knowledge collaboration in VCoPs from a perspective of system dynamics (SD).

Design/methodology/approach

According to the SD method proposed by Forrester, this paper develops an SD model of motivation factors of knowledge collaboration in VCoP by identifying interactions of motivation factors based on behavioural theories, validating the proposed model by structural tests and behaviour tests involving historical data from 939 Wikipedians and analysing the impacts of policy regulations on knowledge collaboration behaviours in Wikipedia.

Findings

In accordance with current literature, this study categorises intrinsic, extrinsic and community motivation factors of knowledge collaborations in VCoPs. According to the SD method, this study develops and validates an SD model to reveal interesting non-linear dynamics of these motivation factors which are neglected by prior studies. This study also conducts dynamic what-if analyses to suggest policy regulations to promote knowledge collaborations in the context of Wikipedia.

Originality/value

Different from prior empirical studies which normally take on a snapshot of motivation factors, this study discloses a dynamic picture of their interrelations by unfolding their behaviour patterns over time. The main contribution of this paper is to develop and validate an SD model of motivation factors of knowledge collaboration in VCoP and to reveal and elaborate their dynamics for policy regulations in VCoPs based on simulation results.

Details

Journal of Knowledge Management, vol. 23 no. 3
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 20 April 2020

Olufunke Olufunmi Oladimeji, Heather Keathley-Herring and Jennifer A. Cross

This study investigates system dynamics (SD) applications in performance measurement (PM) research and practice. A bibliometric analysis was conducted to investigate the…

Abstract

Purpose

This study investigates system dynamics (SD) applications in performance measurement (PM) research and practice. A bibliometric analysis was conducted to investigate the maturity of this research area and identify opportunities for development.

Design/methodology/approach

A systematic literature review (SLR) was conducted to provide a comprehensive and rigorous review of the existing literature. The search was conducted on 10 platforms identifying 97 publications, which were evaluated using bibliometric analysis.

Findings

The analysis revealed that applications of SD are most commonly used in the PM system design phase to model organisational performance. In addition, the bibliometric results showed a highly dispersed author set, with most studies using exploratory methods, suggesting that the research is in a relatively early stage of development. The results also showed that over 50 per cent of the causal models were not validated, emphasizing an important methodological gap in this research area.

Research limitations/implications

This SLR is limited to indexed publications on 10 platforms, the search strategy was relatively precise and only available papers in English language were used for the literature review.

Practical implications

PM systems supported by SD can help managers understand and improve organisational behaviours by addressing dynamic complexities and relationship between variables. This study evaluates the maturity of this research area including information about the current development of this area and opportunities to build on existing knowledge.

Originality/value

This study identifies how SD approaches are applied to PM and highlights areas that require further research consideration. This paper is the first of two publications to result from this study and focuses on evaluating the current state of this research area.

Details

International Journal of Productivity and Performance Management, vol. 69 no. 7
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 3 December 2019

Omogbai Oleghe

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…

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Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

Details

Journal of Modelling in Management, vol. 15 no. 2
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 4 December 2019

Federico Barnabè and Pål I Davidsen

This study aims to contribute to the ongoing debate on behavioral operational research (BOR), specifically discussing the potential of system dynamics (SD) models to…

Abstract

Purpose

This study aims to contribute to the ongoing debate on behavioral operational research (BOR), specifically discussing the potential of system dynamics (SD) models to analyze decision-making heuristics. In more detail, the study suggests using an SD model as an ex-post research tool adopted not only to mimic a role-playing game (RPG) – reproducing the whole physical structure, and the complete set of decision rules specified for a supply chain (SC) management game – but also, and specifically, to replicate and analyze the players’ in-game behavior and decision-making.

Design/methodology/approach

After presenting a brief literature review devoted to highlighting the key concepts of the emerging streams of research named BOR and behavioral system dynamics (BehSD), the study presents the characteristics and results of an SC management-based RPG and describes the SD model that was developed to mimic the game and provide the base-run. A triangulation of data sources (which included feedback questionnaires and reports drawn up by 86 participants, as well as notes collected through direct observation of one of the authors) was used to infer information about and in-game decisions. Subsequently, four alternative versions of the SD model were calibrated to reproduce, investigate and explain ex-post the players’ in-game behavior and decision-making heuristics; this study specifically refers to one of them.

Findings

The SD model can be considered as the first output of this research. The model was calibrated to mimic the game and subsequently used to develop a few alternative models, helpful to replicate players’ behavior and analyze decision-making heuristics. The findings reveal not fully rational decisions taken by the players and share common findings with previous literature on the emergence of sub-optimal strategies (e.g. phantom ordering and hoarding strategies). The data collected from questionnaires, reports and direct observation additionally revealed that stress and behavioral factors played a role in affecting in-game decision-making.

Practical implications

Considering a specific RPG setting, the SD model developed in this study replicated and captured the range of factors affecting decision-making heuristics, allowing an ex-post analysis of in-game decisions. Notably, the research design presented and used in this study can be considered a generic one, which could be applied subsequently in a variety of contexts, also in combination with simulation/gaming tools and techniques different from role-playing, and both for educational and training purposes, and for research validation.

Originality/value

This study builds on and makes a contribution to the debate related to the emerging stream of research of BOR and more specifically, provides insights and evidence for the yet growing field of BehSD, at the same time advocating and suggesting further research in this area. Overall, the research revealed that behavioral factors may play a relevant role in driving and affecting human decision-making in simulation/gaming contexts.

Details

Journal of Modelling in Management, vol. 15 no. 1
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 21 June 2019

Francesca Costanza

The international community recognizes the role of entrepreneurship education in fostering economic growth and sustainable development. However, preparing the next…

Abstract

Purpose

The international community recognizes the role of entrepreneurship education in fostering economic growth and sustainable development. However, preparing the next generation of entrepreneurs is not an easy task, since today’s complexity requires the creation of skills and capabilities for which the traditional programs reveal their inadequacy. Some scholars remark how entrepreneurship education and entrepreneurial intention are not necessarily related and, in line with policy makers’ concerns, call for educational programs more routed in financial skills’ enhancement. The purpose of this paper is to explore the potential of system dynamics (SD) for entrepreneurial education, investigating the relationships between financial and entrepreneurial skills’ formation and business development.

Design/methodology/approach

The paper introduces the main elements of SD, describes literature streams of SD applications fitting the entrepreneurial education spheres and proposes an SD’ insight model based on selected literature and declined in terms of stock-and-flow and causal loop structures.

Findings

The study provides a causal model capturing the links between the processes of entrepreneurial skill formation and firms’ start-ups and closures. Such model introduces a double effect of financial literacy on entrepreneurial orientation and locates the contribution of simulated entrepreneurial decisions in formal and informal educational contexts.

Originality/value

The paper displays how SD can contribute to entrepreneurship and presents an original causal model highlighting the accumulation of financial and non-financial skills through education and experience, their impact on business development and the usefulness of SD methodology for skill achievement.

Details

Journal of Economic and Administrative Sciences, vol. 35 no. 4
Type: Research Article
ISSN: 1026-4116

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