scholarly journals Cessation of an era, collapse of a giant: a review of Nokia with a qualitative system dynamics approach

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Emir Ozeren ◽  
Omur Saatcioglu ◽  
Nergis Ozispa ◽  
Burhan Kayiran
Keyword(s):  
System Dynamics ◽  
Qualitative System Dynamics

Designing a qualitative system dynamics model of crowdfunding by document model building

2019 ◽  
Vol 12 (2) ◽  
pp. 197-224 ◽  
Author(s):  
Ali Haji Gholam Saryazdi ◽  
Ali Rajabzadeh Ghatari ◽  
Alinaghi Mashayekhi ◽  
Alireza Hassanzadeh
Keyword(s):  
System Dynamics ◽  
Design Methodology ◽  
Model Building ◽  
Review Of The Literature ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Content Type ◽  
Leverage Points ◽  
Qualitative System Dynamics ◽  
First Time

Purpose The purpose of this paper is to design a qualitative model of crowdfunding dynamics through the document model building (DMB). Design/methodology/approach Methodology in this paper is the qualitative system dynamics through DMB. In DMB, the authors identify the variables that are drivers of its growth and collapse, and the model will be developed by using the systematic review of the literature. Findings Designing of the dynamics of crowdfunding model through DMB. Identifying variables that are drivers of crowdfunding growth and collapse. Determining leverage points in crowdfunding diffusion. Originality/value This paper, for the first time, with the aim of identifying and explaining the efficient positive and negative dynamics in this method, examines crowdfunding systematically and structurally.

A qualitative system dynamics approach to understanding destination image

2018 ◽  
Vol 8 ◽  
pp. 14-22 ◽  
Author(s):  
Wondowossen Anteneh Tegegne ◽  
Brent D. Moyle ◽  
Susanne Becken
Keyword(s):  
System Dynamics ◽  
Destination Image ◽  
Qualitative System Dynamics

scholarly journals Qualitative System Dynamics Model for Analyzing of Behavior Patterns of SMEs

2021 ◽  
Vol 2 (1) ◽  
pp. 9-19
Author(s):  
Ali Haji Gholam Saryazdi ◽  
Dariush Poursarrajian
Keyword(s):  
System Dynamics ◽  
Model Building ◽  
Science And Technology ◽  
Behavioral Patterns ◽  
Dynamics Modeling ◽  
Senior Managers ◽  
Policy Makers ◽  
Science And Technology Parks ◽  
Technology Parks ◽  
Qualitative System Dynamics

In Iran the Small and Medium Knowledge based Enterprise (SMEs), in the development and shaping stage, face with lots of problems. Before maturity and stability, they fail. Nearly a decade passed, since science and technology parks formation happened. They were seen as a mechanism for sustainable economic development based on knowledge; through creation, support and guidance of founded SMEs. Officials and policy makers, seriously concern about sustainable success, development and growth of these SMEs which must be appropriate for needs of Iran. Identify the behavioral patterns of the stages of life (birth, growth, decline, etc.) which lead to inefficiency and decline, is essential. This helps to avoid mistake repetition and eventually reduces costs. This paper, by using participative model building tries to extract prevailed patterns which govern the behavior of SMEs in Yazd Science and Technology Park. This paper attempts to introduce positive leverage points for policy makers and senior managers who are responsible and also SMEs which are located in the Park. Therefore, in this article, while drawing the behavioral patterns of SMEs, using qualitative system dynamics modeling, the structure governing the behavior of SMEs was drawn. This structure consists of 4 reinforcing loops and 8 balancing loops. Finally, based on these loops, 12 corrective policies were proposed. Doi: 10.28991/HIJ-2021-02-01-02 Full Text: PDF

scholarly journals A Qualitative System Dynamics Model for Effects of Workplace Violence and Clinician Burnout on Agitation Management in the Emergency Department

2021 ◽  
Author(s):  
Ambrose H Wong ◽  
Nasim S Sabounchi ◽  
Hannah R Roncallo ◽  
Jessica M Ray ◽  
Rebekah Heckmann
Keyword(s):  
System Dynamics ◽  
Workplace Violence ◽  
Model Building ◽  
Current Model ◽  
The United States ◽  
Iterative Refinement ◽  
Mutual Trust ◽  
Physical Restraints ◽  
Qualitative System Dynamics ◽  
Perceptions Of Safety

Introduction Over 1.7 million episodes of agitation occur annually across the United States in emergency departments (EDs), some of which lead to workplace assaults on clinicians and require invasive methods like physical restraints to maintain staff and patient safety. Recent studies demonstrated that experiences of workplace violence lead to symptoms of burnout, which may impact future decisions regarding use of physical restraints on agitated patients. To capture the dynamic interactions between clinicians and agitated patients under their care, we applied qualitative system dynamics methods to develop a model that describes causal feedback mechanisms of clinician burnout and the use of physical restraints to manage agitation. Methods We convened an interprofessional panel of clinician stakeholders and agitation experts for a series of model building sessions to develop the current model. The panel derived the final version of our model over ten sessions of iterative refinement and modification, each lasting approximately three to four hours. We incorporated findings from prior studies on agitation and burnout as a result of workplace violence, identifying interpersonal and psychological factors likely to influence our outcomes of interest to form the basis of our model. Results The final model resulted in five main sets of feedback loops that describe key narratives regarding the relationship between clinician burnout and agitated patients becoming physically restrained: (1) use of restraints decreases agitation and risk of assault, leading to increased perceptions of safety and decreasing use of restraints in a balancing feedback loop which stabilizes the system; (2) clinician stress leads to a perception of decreased safety and lower threshold to restrain, causing more stress in a negatively reinforcing loop; (3) clinician burnout leads to a decreased perception of colleague support which leads to more burnout in a negatively reinforcing loop; (4) clinician burnout leads to negative perceptions of patient intent during agitation, thus lowering threshold to restrain and leading to higher task load, more likelihood of workplace assaults, and higher burnout in a negatively reinforcing loop; and (5) mutual trust between clinicians causes increased perceptions of safety and improved team control, leading to decreased clinician stress and further increased mutual trust in a positively reinforcing loop. Conclusions Our system dynamics approach led to the development of a robust qualitative model that illustrates a number of important feedback cycles that underly the relationships between clinician experiences of workplace violence, stress and burnout, and impact on decisions to physically restrain agitated patients. This work identifies potential opportunities at multiple targets to break negatively reinforcing cycles and support positive influences on safety for both clinicians and patients in the face of physical danger.

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