Simulating the diffusion of technological innovation with an integrated hybrid agent-based system dynamics model

Swinerd, Chris; McNaught, Ken R.

doi:10.1057/jos.2014.2

Cited by 22 publications

(9 citation statements)

References 18 publications

(23 reference statements)

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“…An example in the literature: Swinerd and McNaught [36] do not mention this class explicitly. However, the model they provide in their other works [46,53], reveal that they acknowledge the existence of this class which combines Classes B and C. The only other instance of this class in our review is Alfaris and others [54] that present a model for national energy planning in Saudi Arabia.…”

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confidence: 81%

A Literature Review of Hybrid System Dynamics and Agent-Based Modeling in a Produced Water Management Context

et al. 2021

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This paper explores the possibility and plausibility of developing a hybrid simulation method combining agent-based (AB) and system dynamics (SD) modeling to address the case study of produced water management (PWM). In southeastern New Mexico, the oil and gas industry generates large volumes of produced water, while at the same time, freshwater resources are scarce. Single-method models are unable to capture the dynamic impacts of PWM on the water budget at both the local and regional levels, hence the need for a more complex hybrid approach. We used the literature, information characterizing produced water in New Mexico, and our preliminary interviews with subject matter experts to develop this framework. We then conducted a systematic literature review to summarize state-of-the-art of hybrid modeling methodologies and techniques. Our research revealed that there is a small but growing volume of hybrid modeling research that could provide some foundational support for modelers interested in hybrid modeling approaches for complex natural resource management issues. We categorized these efforts into four classes based on their approaches to hybrid modeling. It appears that, among these classes, PWM requires the most sophisticated approach, indicating that PWM modelers will need to face serious challenges and break new ground in this realm.

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confidence: 81%

A Literature Review of Hybrid System Dynamics and Agent-Based Modeling in a Produced Water Management Context

et al. 2021

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“…In the framework it thus needs to manage adoption stages and simulation dynamics (CR 2). In addition to temporality, spatiality is an important characteristic in a range of different eABMs (Rai and Robinson 2015;Sopha et al 2013;Swinerd and McNaught 2014;Schwarz and Ernst 2009). It allows to explicitly integrate the geographic location of entities and needs to address how geometry and the relative positioning of entities is operationalized.…”

Section: Model Fundamentalsmentioning

confidence: 99%

A modular multi-agent framework for innovation diffusion in changing business environments: conceptualization, formalization and implementation

Johanning

Scheller

Abitz

et al. 2020

Complex Adapt Syst Model

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Understanding how innovations are accepted in a dynamic and complex market environment is a crucial factor for competitive advantage. To understand the relevant factors for this diffusion and to predict success, empirically grounded agent-based models have become increasingly popular in recent years. Despite the popularity of these innovation diffusion models, no common framework that integrates their diversity exists. This article presents a flexible, modular and extensible common description and implementation framework that allows to depict the large variety of model components found in existing models. The framework aims to provide a theoretically grounded description and implementation framework for empirically grounded agent-based models of innovation diffusion. It identifies 30 component requirements to conceptualize an integrated formal framework description. Based on this formal description, a java-based implementation allowing for flexible configuration of existing and future models of innovation diffusion is developed. As a variable decision support tool in decision-making processes on the adoption of innovations the framework is valuable for the investigation of a range of research questions on innovation diffusion, business model evaluation and infrastructure transformation.

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“…By contrast, as a bottom-up approach, the ABM can capture the heterogeneity of agents at the individual level but has limitations in modeling the macro system [26,46]. As evidenced by previous studies on the consumer choice behaviors of sustainable products [46,47], the diffusion process of innovative technologies [48], and the impact of alternative economic policies on water use and pricing [49], the different mechanisms of SD and ABM mean that they can have complementary roles and, therefore, achieve a better understanding of complex systems [26]. Nasirzadeh et al [50] have developed an SD-ABM simulation model to investigate the social influence on safety violations.…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding the Social Contagion Effect of Safety Violations within a Construction Crew: A Hybrid Approach Using System Dynamics and Agent-Based Modeling

Liang

Lin

Zhang

2018

IJERPH

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Previous research has recognized the importance of eliminating safety violations in the context of a social group. However, the social contagion effect of safety violations within a construction crew has not been sufficiently understood. To address this deficiency, this research aims to develop a hybrid simulation approach to look into the cognitive, social, and organizational aspects that can determine the social contagion effect of safety violations within a construction crew. The hybrid approach integrates System Dynamics (SD) and Agent-based Modeling (ABM) to better represent the real world. Our findings show that different interventions should be employed for different work environments. Specifically, social interactions play a critical role at the modest hazard levels because workers in this situation may encounter more ambiguity or uncertainty. Interventions related to decreasing the contagion probability and the safety–productivity tradeoff should be given priority. For the low hazard situation, highly intensive management strategies are required before the occurrence of injuries or accidents. In contrast, for the high hazard situation, highly intensive proactive safety strategies should be supplemented by other interventions (e.g., a high safety goal) to further control safety violations. Therefore, this research provides a practical framework to examine how specific accident prevention measures, which interact with workers or environmental characteristics (i.e., the hazard level), can influence the social contagion effect of safety violations.

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Simulating the diffusion of technological innovation with an integrated hybrid agent-based system dynamics model

Cited by 22 publications

References 18 publications

A Literature Review of Hybrid System Dynamics and Agent-Based Modeling in a Produced Water Management Context

A Literature Review of Hybrid System Dynamics and Agent-Based Modeling in a Produced Water Management Context

A modular multi-agent framework for innovation diffusion in changing business environments: conceptualization, formalization and implementation

Understanding the Social Contagion Effect of Safety Violations within a Construction Crew: A Hybrid Approach Using System Dynamics and Agent-Based Modeling

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