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

2018 ◽  
Vol 15 (12) ◽  
pp. 2696 ◽  
Author(s):  
Huakang Liang ◽  
Ken-Yu Lin ◽  
Shoujian Zhang
Keyword(s):  
System Dynamics ◽  
Critical Role ◽  
Management Strategies ◽  
Hybrid Approach ◽  
Agent Based Modeling ◽  
Social Contagion ◽  
Contagion Effect ◽  
Prevention Measures ◽  
Agent Based ◽  
The Social

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.

The social contagion of utility value: How parents’ beliefs about the usefulness of science predict their children’s motivation and achievement

2021 ◽  
pp. 014303432098520
Author(s):  
Ma. Jenina N. Nalipay ◽  
Yuyang Cai ◽  
Ronnel B. King
Keyword(s):  
Structural Equation ◽  
Science Achievement ◽  
Critical Role ◽  
Social Contagion ◽  
Equation Modeling ◽  
Utility Value ◽  
International Student Assessment ◽  
Value Perceptions ◽  
The Social ◽  
Motivation And Achievement

The purpose of the present study was to examine whether parents’ utility value perceptions predicted their children’s utility value perceptions, demonstrating social contagion effects. We also examined whether utility value would predict achievement. This is a cross-sectional study that utilized data from a subsample of adolescent students from the Program for International Student Assessment (PISA 2015), which focused on science learning and achievement from 18 regions. We performed multi-level structural equation modeling to analyze the data. Results revealed that parents’ utility value perceptions predicted students’ utility value perceptions, which, in turn, predicted science achievement. The findings of this study provide evidence of the social contagion of utility value perceptions from parents to their children and the critical role of utility value in predicting achievement across various regions/countries. Our study highlights the crucial role parents play in adolescents’ motivational and learning outcomes and suggest parental involvement in programs toward enhancing adolescents’ motivation and achievement.

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

Modelling ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 224-239
Author(s):  
Saeed P. Langarudi ◽  
Robert P. Sabie ◽  
Babak Bahaddin ◽  
Alexander G. Fernald
Keyword(s):  
Water Management ◽  
New Mexico ◽  
Literature Review ◽  
System Dynamics ◽  
Oil And Gas ◽  
Produced Water ◽  
Hybrid Approach ◽  
Oil And Gas Industry ◽  
Hybrid Modeling ◽  
Agent Based

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.

Multi-Methodology Approach

2021 ◽  
pp. 98-128
Keyword(s):  
System Dynamics ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Agent Based Modeling ◽  
Multiple Methods ◽  
Soft Systems ◽  
Agent Based ◽  
Event Simulation ◽  
Pluralistic Approach ◽  
The Difference

The pluralistic approach in today's world needs combining multiple methods, whether hard or soft, into a multi-methodology intervention. The methodologies can be combined, sometimes from several different paradigms, including hard and soft, in the form of a multi-methodology so that the hard paradigms are positivistic and see the organizational environment as objective, while the nature of soft paradigms is interpretive. In this chapter, the combination of methodologies has been examined using soft systems methodologies (SSM) and simulation methodologies including discrete event simulation (DES), system dynamics (SD), and agent-based modeling (ABM). Also, using the ontological, epistemological, and methodological assumptions underlying the respective paradigms, the difference between SD, ABM, SSM; a synthesis of SSM and SD generally known as soft system dynamics methodology (SSDM); and a promising integration of SSM and ABM referred to as soft systems agent-based methodology (SSABM) have been proven.

MODELING ENDOGENOUS RULE CHANGES IN AN INSTITUTIONAL CONTEXT: THE ADICO SEQUENCE

2008 ◽  
Vol 11 (02) ◽  
pp. 199-215 ◽  
Author(s):  
ALEX SMAJGL ◽  
LUIS R. IZQUIERDO ◽  
MARCO HUIGEN
Keyword(s):  
Social Group ◽  
Social Dynamics ◽  
Institutional Context ◽  
Agent Based Modeling ◽  
Institutional Framework ◽  
Agent Based ◽  
The Social ◽  
Rule Changes ◽  
Do So

Agent-based modeling is being increasingly used to simulate socio-techno-ecosystems that involve social dynamics. Humans face constraints that they sometimes wish to challenge, and when they do so, they often trigger changes at the scale of the social group too. Including such adaptation dynamics explicitly in our models would allow simulation of the endogenous emergence of rule changes. This paper discusses such an approach in an institutional framework and develops a sequence that allows modeling of endogenous rule changes. Parts of this sequence are implemented in a NetLogo KISS model to provide some illustrative results.

Sign in / Sign up

Export Citation Format

Share Document