Evaluating System Dynamics Group Model Building in Public Service System Change

2013 ◽  
Author(s):  
Steven Huz ◽  
David Andersen ◽  
George Richardson ◽  
Roger Boothroyd ◽  
Marian Schwager ◽  
...  
Keyword(s):  
System Dynamics ◽  
Public Service ◽  
Model Building ◽  
Service System ◽  
System Change ◽  
Group Model ◽  
Group Model Building

Exploring construction workers' attitudinal ambivalence: a system dynamics approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheng Xu ◽  
Mengge Zhang ◽  
Bo Xia ◽  
Jiangbo Liu
Keyword(s):  
System Dynamics ◽  
Model Building ◽  
Safety Management ◽  
Negative Attitude ◽  
Construction Workers ◽  
Group Model ◽  
Group Model Building ◽  
Content Type ◽  
Work Pressure ◽  
Safety Attitude

PurposeThis study aimed to identify driving factors of safety attitudinal ambivalence (AA) and explore their influence. Construction workers' intention to act safely can be instable under conflicting information from safety management, co-workers and habitual unsafe behaviour. Existing research explained the mechanism of unsafe behaviours as individual decisions but failed to include AA, as the co-existence of both positive and negative attitude.Design/methodology/approachThis study applied system dynamics to explore factors of construction workers' AA and simulate the process of mitigating the ambivalence for less safety behaviour. Specifically, the group model building approach with eight experts was used to map the causal loop diagram and field questionnaire of 209 construction workers were used to collect empirical data for initiating parameters.FindingsThe group model building identified five direct factors of AA, namely the organisational safety support, important others' safety attitude, emotional arousal, safety production experience and work pressure, with seven feedback paths. The questionnaire survey obtained the initial values of the factors in the SD model, with the average ambivalence at 0.389. The ambivalence between cognitive and affective safety attitude was the highest. Model simulation results indicated that safety experience and work pressure had the most significant effects, and safety experience and positive attitude of co-workers could compensate the pressure from tight schedule and budget.Originality/valueThis study provided a new perspective of the dynamic safety attitude under the co-existence of positive and negative attitude, identified its driving factors and their influencing paths. The group model building approach and field questionnaire surveys were used to provide convincible suggestions for empirical safety management with least and most effective approaches and possible interventions to prevent unsafe behaviour with tight schedule and budget.

Explaining how group model building supports enduring agreement

2017 ◽  
Vol 25 (6) ◽  
pp. 783-806 ◽  
Author(s):  
Rodney James Scott
Keyword(s):  
System Dynamics ◽  
Model Building ◽  
Social Process ◽  
Group Model ◽  
Group Model Building ◽  
Combined Model ◽  
Dynamics Modelling ◽  
Core Conditions ◽  
Dynamics Models ◽  
Modelling Process

AbstractSystem dynamics models are typically used to simulate the behaviour of the problem system under discussion environment, to help understand and solve complex problems. Group model building is a social process for including client groups in the system dynamics modelling process. Recent evidence suggests group model building is useful in supporting durable group decisions by supporting the mental models of participants to become more aligned. There have been several mechanisms proposed to explain these effects. This paper creates a combined model that links the five best-supported mechanisms. The combined model suggests five core conditions of group model building that contributes to its success: completing a structured task, producing a tangible artefact, representing system complexity, the portrayal of causal links, and easy modification or transformation of the artefact by participants. Practitioners are encouraged to use group decision approaches that integrate these conditions.

scholarly journals Embedding Systems Thinking into EWB Project Planning and Development: Assessing the Utility of a Group Model Building Approach

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Kimberly Pugel ◽  
Jeffrey P Walters
Keyword(s):  
Service Learning ◽  
System Dynamics ◽  
Systems Thinking ◽  
Model Building ◽  
Project Planning ◽  
Evaluation Framework ◽  
Added Value ◽  
Group Model ◽  
Group Model Building ◽  
Engineering Project

Amongst growing sociotechnical efforts, engineering students and professionals both in the international development sector and industry are challenged to approach projects more holistically to achieve project goals.  Engineering service learning organizations must similarly adapt their technological projects to consider varying cultural and economic structures, ensuring more resilient social progress within development efforts.  In practice, systems thinking approaches can be utilized to model the social, economic, political, and technological implications that influence the sustainability of an engineering project. This research assesses the utility of integrating systems thinking into Engineers Without Borders (EWB) project planning and development, thereby improving project impact and more effectively engaging members.  At a workshop held at an EWB-USA 2016 Regional Conference, the authors presented a planning and evaluation framework that applies group model building with system dynamics to foster systems thinking through factor diagramming and analysis. To assess the added value of the framework for EWB project planning and development, extensive participant feedback was gathered and evaluated during the workshop and through an optional post-workshop survey.  Supported by thoughtful observations and feedback provided by the EWB members, the model building workshop appeared to help participants reveal and consider project complexities by both visually and quantitatively identifying key non-technical and technical factors that influence project sustainability.  Therefore, system dynamics applied in a group model building workshop offers a powerful supplement to traditional EWB project planning and assessment activities, providing a systems-based tool for EWB teams and partner communities to build capacity and create lasting change.

scholarly journals USING SYSTEM DYNAMICS MODELING TO ASSESS THE IMPACT OF CONNECTICUT GOOD SAMARITAN LAWS: A PROTOCOL PAPER

2022 ◽  
Author(s):  
Syed Shayan Ali ◽  
Nasim S Sabounchi ◽  
Robert Heimer ◽  
Gail DOnofrio ◽  
Colleen Violette ◽  
...  
Keyword(s):  
System Dynamics ◽  
Model Building ◽  
Opioid Overdose ◽  
Group Model ◽  
Dynamics Modeling ◽  
Group Model Building ◽  
Good Samaritan ◽  
The Impact ◽  
Good Samaritan Laws ◽  
Sd Model

Background We applied a participatory system dynamics (SD) modeling approach to evaluate the effectiveness and impact of Connecticut Good Samaritan Laws (GSLs) that are designed to promote bystander intervention during an opioid overdose event and reduce opioid overdose-related adverse outcomes. Our SD model can be used to predict whether additional revisions of the statutes might make GSLs more effective. SD modeling is a novel approach for assessing the impact of GSLs; and, in this protocol paper, we describe its applicability to our policy question, as well as expected outcomes of this approach. Methods This project began in February 2021 and is expected to conclude by March 2022. During this time, a total of six group model-building (GMB) sessions will have been held with key stakeholders to elicit feedback that will, in turn, contribute to the development of a more robust SD model. Session participants include bystanders who witness an overdose, law enforcement personnel, first responders, pharmacists, physicians, and other health care professionals who work in at least two major metropolitan areas of Connecticut (New Haven and Hartford). Due to the restrictions imposed by the COVID-19 pandemic, the sessions are being held virtually via Zoom. The information obtained during these sessions will be integrated with a draft SD model that has already been developed by the modeling team as part of a previous CDC-funded project. Model calibration and policy simulations will then be performed to assess the impact of the current GSLs and to make recommendations for future public policy changes. Discussion An SD modeling approach enables capture of complex interrelationships among multiple health outcomes to better assess the drivers of the opioid epidemic in Connecticut. The model simulation results are expected not only to align with current real-world data but also to recreate historical trends and infer future trends in a situationally relevant fashion. This will facilitate the work of policy makers who are devising and implementing time-sensitive changes to address opioid overdose-related deaths at the state level. Replicating our approach as described can be applied to make similar improvements in other jurisdictions. CONTRIBUTIONS TO THE LITERATURE - System dynamics (SD) modeling and group model-building (GMB) approaches enable the group to start with a simple concept model and apply the collective knowledge of the group to finish the session with a much more developed model that can produce impressively accurate simulation results. - The model will be used to understand the impact of Connecticut Good Samaritan Laws (GSLs), as well as their limitations, and to deduce factors to further improve public health laws to counter opioid overdose-related deaths. - The approach can be applied to other jurisdictions, taking into account local conditions and existing Good Samaritan legislation. KEYWORDS: System dynamics modeling, group model building, opioid overdose deaths, opioid use disorder, Good Samaritan laws

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