From Causal Loop Diagrams to System Dynamics Models in a Data-Rich Ecosystem

Lin, Gary; Palopoli, Michele; Dadwal, Viva

doi:10.1007/978-3-030-47994-7_6

Cited by 32 publications

(23 citation statements)

References 14 publications

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“…The provisional model that relates SME business competition was built by integrating DS and ABM. The DS technique used was quantitative CLD as previously implemented by [24]. The CLD employs a simultaneous equation to process quantitative variables.…”

Section: Methodsmentioning

confidence: 99%

The Evaluation of Technology Startup Role on Indonesian SMEs Industry 4.0 Adoption Using CLD-ABM Integrated Model

et al. 2022

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The role of the Association of Southeast Asia Nations (ASEAN) small and medium enterprises (SMEs) as the regional socioeconomic stabilizer is inseparable from endogenous multisector collaboration. Indonesian SMEs struggled with Industry 4.0 adoption due to the lower digital infrastructure (DI) and digital literacy (DL) index. This study aims to develop a provisional model to explore the role of technology startups (TS) in covering the DI and DL of SMEs. The evaluation was through a simulation model of Indonesian SMEs’ collaboration with the government and TS. The developed model is a concurrent real-time integration of an agent-based model (ABM) with a causal loop diagram (CLD). The simulation results imply that SMEs’ collaboration with TS leads to the early adoption of Industry 4.0 that balances the business competition environment. The model also shows that exponentially rising government aid can help the SMEs into late adoption of Industry 4.0. However, SMEs are still unable to sustain the business competition. Thus, the integrative simulation model is a state-action planning model with each state result bounded to the previous state result. The initial input parameters determine the model behavior. Thus, the model is a good resiliency planner for SMEs’ Industry 4.0 adoption.

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Section: Methodsmentioning

confidence: 99%

The Evaluation of Technology Startup Role on Indonesian SMEs Industry 4.0 Adoption Using CLD-ABM Integrated Model

et al. 2022

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“…Olaya (2019) argues that unlike scientific models designed to replicate and predict phenomena, system dynamics models are engineering models that are designed to achieve a variety of goals, including the creation of shared understandings and the design of policies, plans, and courses of action (Olaya 2019). System dynamics modeling has historically been applied to model interactions of variables to map causal influences and better understand complex systems' counterintuitive behavior; however, recently, there has been more frequent integration of larger quantitative data sets (Lin et al 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Turn up the Dial: System Dynamics Modeling of Resource Allocations toward Rural Water Supply Maintenance in East Africa

Libey

Chintalapati

Kathuni³

et al. 2022

J. Environ. Eng.

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Water stress is increasingly affecting hundreds of millions of people around the world. In East Africa, severe and persistent drought periods negatively impact health and livelihoods. Drought increases reliance on mechanized boreholes to extract groundwater. However, without adequate resource allocations, effective monitoring of borehole functionality, and reliable maintenance service, breakdown rates increase and downtimes last many months. Our study applies system dynamics modeling to investigate the effects of allocating resources to borehole maintenance and repair in the Afar Region in Ethiopia and Turkana County in Kenya. We inform model calibration with runtime and functionality estimates derived from sensors installed on 245 boreholes and apply sensitivity analyses varying budget allocations to optimize for functionality. We conclude that increasing the borehole repair and maintenance budgets in Turkana from the current 30% to 85% of available budgets could result in an additional 83 working boreholes and 95% functionality in 2030. In Afar, increasing maintenance budgets from 38% to 79% could result in functionality levels of 75% by 2030, well above currently projected levels of 54%.

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“…System dynamics approaches, e.g., Causal Loop Diagrams (CLD) and Stock-Flow Diagrams (SFD), focus on the interrelation of the system's elements as a means of representing real-world processes and analysing their behaviour over time (Sterman 2000;Winz et al 2009;Schlüter et al 2014). Causality interrelations between the elements allow defining balancing and reinforcing loops that characterise this behaviour (Lin et al 2020). In water resources management, they have been used for identifying key elements (e.g., Simonović 2009;Wu et al 2020;Yazdandoost et al 2020) with a focus on biophysical aspects (Kotir et al 2016).…”

Section: Identifying Elements Of a Ws-wr Situation And Its Interpretation As A Systemmentioning

confidence: 99%

Translating the ‘water scarcity – water reuse’ situation into an information system for decision-making

Müller

Schanze

2021

Sustain Sci

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One key challenge of water resources management is the identification and processing of the information necessary for decision-making. This article aims to provide avenues for translating a ‘water scarcity–water reuse’ (WS–WR) situation into an information system. It is dedicated to supporting an integrated assessment in decision-making with the final goal of optimising water scarcity risk reduction and water reuse sustainability. The approach combines the following two strands: (1) specific interpretation of systems thinking and (2) systemic characterisation and interlinkage of indicators. The result is an analytical concept that translates the WS–WR situation into an information system consisting of two structured components, a multi-layer (ML) and a lane-based (LB) approach. While the multi-layer approach supports the description of the elements of the biophysical and information systems such as endpoints and descriptors, respectively, the lane-based approach aids in understanding the importance of indicators within the entire system and their distribution across risk and sustainability realms. The findings from a generic exemplification of the analytical concept depict the feasibility of identifying system-based endpoints representing the WS–WR situation and their translation via descriptors to an interlinked indicator set to jointly assess water scarcity risk and sustainability of the water reuse measures. Therefore, this analytical concept supports addressing the water resources management information challenge via a structured representation of the system’s complexity and the quantification and visualisation of interlinkages between the social, economic, and environmental dimensions of water scarcity risk and water reuse sustainability.

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From Causal Loop Diagrams to System Dynamics Models in a Data-Rich Ecosystem

Cited by 32 publications

References 14 publications

The Evaluation of Technology Startup Role on Indonesian SMEs Industry 4.0 Adoption Using CLD-ABM Integrated Model

The Evaluation of Technology Startup Role on Indonesian SMEs Industry 4.0 Adoption Using CLD-ABM Integrated Model

Turn up the Dial: System Dynamics Modeling of Resource Allocations toward Rural Water Supply Maintenance in East Africa

Translating the ‘water scarcity – water reuse’ situation into an information system for decision-making

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