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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.

This paper aims to (1) identify the different performance drivers (lead indicators) and outcome measures (lag indicators) investigated in the literature concerning the four balanced scorecard (BSC) perspectives in operations management (OM) contexts and (2) understand how performance drivers and outcome measures (and substantiated perspectives) are related.

We undertake a systematic literature review of the BSC literature in OM journals. From the final sample of 40 articles, performance drivers and outcome measures have been identified, and the relationships amongst them have been synthesised according to the system dynamics approach.

Findings show (1) the most relevant performance drivers and outcome measures within each BSC perspective, (2) their relationships, (3) how the perspectives are linked through the performance drivers and outcome measures and (4) how the different measures relate systemically. Accordingly, four causal loops amongst identified measures have been built, which – jointly considered – allowed for the creation of a dynamic strategy map for OM.

This study is the first one that provides a comprehensive and holistic view of how the different performance drivers and outcome measures within and between the four BSC perspectives in OM relate systemically, increasing the knowledge and understanding of scholars and practitioners.

The more contemporary views on managing projects recommend stakeholder engagement as an important part of the process. Challenges have been reported when attempting to involve project stakeholders in a construction project due to the complexity of the processes. In projects such as refurbishment projects, the efforts to incorporate end users' needs and preferences into spatial environmental functions increase the complexity of stakeholder engagement during the journey of the project. This paper presents a unique technique used to integrate different tools within the system enquiry methodology in modelling the project stakeholder engagement process for refurbishment projects.

Aiming to address the problem, system dynamics (SD) has been selected as the most suitable method for modelling the dynamic behaviour of this complex system over time. A tool known as a rich picture diagram (RPD) is proposed as the precursor of the development of a causal loop diagram (CLD) to facilitate a more holistic abstraction for applicable solutions. An example of a single case study involving the refurbishment of a higher education building project is presented to explain the analysis undertaken in the process of developing the CLD that models the dynamic behaviour within end-user stakeholder engagement.

This paper demonstrates the complementarity capabilities of the soft and hard systems of enquiry in modelling stakeholder's dynamics within the refurbishment construction contexts. The RPD soft system tool was found useful to congregate diverse stakeholder expressions and experiences of a complex system in a holistic manner. Subsequently, the development of the CLD was fully guided by the information and relationship captured and presented in the RPD to yield a representative system model. Furthermore, this paper also reports the dynamics of the actors, situations, events and their inter-relationship found in the presented refurbishment project.

This paper enriches the techniques within the system enquiry methodology by integrating hard and soft system tools for dynamic process modelling purposes. This is particularly achieved by utilizing the RPD as the precursor of SD that provides a useful way for researchers and stakeholders to fully understand the dynamics and develop robust systemic interventions to optimize end-user stakeholder engagement during the journey of refurbishment projects, particularly of higher education buildings.

System dynamics (SD) is emerging as a powerful approach to understand, analyse, simulate and predict complex and dynamic business processes. In particular, it is true in the process of business model innovation (BMI) and not only as a computational approach. Due to the visual and diagrammatic tools employed by SD, innovation managers overcome humans' mental limitations and improve knowledge management in the BMI. This paper discloses the value of SD's visual tools, i.e. causal loop diagrams and stock and flow diagrams, to contribute to the “Knowldege Visualization” research line, and promote the application of SD as a powerful approach to support decisions in BMI.

Given the explorative nature and the “how” question driving the research, the methodology involved is a single, holistic case study. In particular, the case is about a business model (BM) diversification, in which an information and communication technology service provider has added to its existing business model a new BM based on a digital multi-sided platform, for passengers transportation.

The diagrammatic tools of SD, that is causal loop diagrams and stock and flow diagrams, allowed entrepreneurs to overcome the complexity of the business parameters concurring in the design of the BM.

The value of this research is in the exploratory approach and in the originality of the perspective by which SD is analysed: the visual knowledge perspective.

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 develop a model for complex interconnected structure of various factors interacting with delay in order to identify the most important factors influencing and influenced by delay based on their interrelations.

Reviewing literature and interviewing with local experts selected from the Iranian construction industry, top 58 delay factors were identified and categorized into six major groups. The interrelations among these factors were, then, modeled using the system dynamics (SD) approach. The resulting causal loop diagrams obtained from SD were used subsequently for identifying the most significant factors influencing and influenced by delay through the Decision Making Trial and Evaluation Laboratory (DEMATEL) method. The impact of factors on each other was finally determined based on the opinions of 63 experts selected from the Iranian community of consultants, contractors, and clients.

According to the analysis, eight out of the 58 factors were identified as the most influencing factors on delay, and nine factors were found to be the most influenced factors by delay in the field of delay analysis. The study also concluded that factors related to labors are the most important and influential factors. In addition, factors related to client were the most influencing factors and external-related factors were the least important ones. At the end, some recommendations to reduce variation of delay in the construction projects are presented as well.

Considering the interconnected structure of the factors, the paper identifies the most important factors interacting with time delay in construction projects.

Research on sustainability has progressed from a singular focus on one aspect to a simultaneous focus on more than one aspect of the triple bottom line. However, there is a dearth of research that explains why sustainability-related decisions in business often do not bear the expected results. Research that provides managers with a tool to achieve environmental sustainability of logistics without compromising the economic sustainability is scarce. Hence, the purpose of this paper is to bridge the above gaps and to explore the factors that affect investment in technology to balance environmental and economic sustainability of logistics. A model based on system dynamics approach explains the simultaneous interplay of these factors. Simulating the model helps the managers of logistics function decide the size of investment in technology, to achieve environmental efficiency without negatively influencing the economic performance.

A model based on system dynamics approach explains the simultaneous interplay of these factors. Simulating the model helps the managers of logistics function decide the size of investment in technology, to achieve ecological efficiency without compromising with the economic performance.

Collaboration with regulatory authorities and with players within the same industry and across industries is a must so that eco-logistics does not become an economic burden for businesses. The decision to invest in technology for eco-logistics is further accentuated if the technology promises some added economic benefits.

From a theoretical perspective, the research has added to the less extensive literature on system dynamics modelling, which is a mixed methodology, combining both qualitative and quantitative techniques. The research is also one of the few attempts that have attempted to simultaneously study more than one aspects of sustainability in business, quantitatively through simulation. Simulation was demonstrated through a single case study, Future works can aim to apply the causal loop diagram to firms in varied sectors.

The managers can use the causal loop diagram to assess the environmental performance of logistics and decide on appropriate level of investment to balance ecological and economic performance of logistics.

The causal loop diagram has been developed through primary data collection via semi-structured interviews. The results were validated by presenting them to respondents to ensure they represent their view points. The results are, therefore, practical and original. This research does not build upon an existing data set or aims to test the applicability of any existing model. The model for this research has been developed from the grass-roots level.

The production of sleeve grouting in prefabricated construction is routinely plagued by a variety of factors, and lack of mass data and complex environmental conditions over time make problems inevitable. Thus, a dynamic risk control system is a valuable support for the successful completion of the sleeve grouting process. This study aims to develop an entropy-based sleeve grouting risk dynamic control system.

First, static risk assessment was conducted through the structured interview survey using the entropy weight method, followed by a dynamic risk control technique, where indicators were simulated through system dynamics containing causal loop diagrams and stock-and-flow diagrams.

Finally, three types of risk control models, namely, “tortuous type”, “stable type” and “peak loop type”, were developed in the entropy-based sleeve grouting risk dynamic control system and simulated using system dynamics in a real case.

Compared to traditional sleeve grouting risk management, the developed system enabled dynamic control over time.

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 research aims to examine the smelter industry’s investment competitiveness in Indonesia as well as to find solutions to improve its competitive advantage for the nation.

This research applies a sequential mixed-methods approach with a second quantitative phase building on an initial first qualitative phase. The qualitative phase is conducted by interviews to find the root causes of problems as well as solutions to gain smelter industries’ competitiveness. The quantitative phase is conducted by a system dynamics model. A descriptive causal loop diagram is created based on interviews and focus group discussions to describe the problems. The concept of competitive advantage of a nation from Porter’s diamond model is applied in this research.

The results reveal the complexity of smelter industries in Indonesia. The paper also addresses the causes of problems and interaction of variables using a causal loop diagram. To gain the smelter industry’s competitiveness, this paper suggests the potential policy development to increase competitiveness of the smelter industry such as policy for different fiscal incentives to each different mineral, effective export duty and exploration obligation.

The result of this study provides a good basis for government in making policy to improve the competitive advantage of the smelter industry investment in Indonesia.

This is the first research on smelter industry competitiveness that applies Porter’s diamond model and system dynamics model to find solutions in designing appropriate policy to gain competitiveness.