Qualitative vs Quantitative Modelling: The Evolving Balance

Wolstenholme, E. F.

doi:10.2307/3010462

Cited by 42 publications

(44 citation statements)

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“…Follador and Trabasso (2015) Ford (1999) (Ford 1999;Wolstenholme 1999;Coyle 2000). These 2 approaches are complementary as seen in the 8-step method proposed by Ford (1999): the first 4 can be classified as qualitative whereas the remained 4 steps belong to quantitative approach to SD modeling.…”

Section: Systems Dynamicsmentioning

confidence: 99%

Knowledge Management Patterns Model for a Flight Test Environment

Follador¹,

Trabasso²

2016

J.Aerosp. Technol. Manag.

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This paper investigates how Knowledge Management patterns in a Brazilian Air Force flight test environment can be simulated using a System Dynamics approach. The research has been conducted initially by a literature review on the main Knowledge Management and System Dynamics theories. Data for this research has been collected in a previous study consisted of documental research regarding the flight test environment Knowledge Management and a questionnaire-based survey which identified both a low Knowledge Management maturity level and the flight test core competence as the capability of performing flight test campaigns. The issued problem was the tradeoff between actions focused on performing flight test campaigns versus Knowledge Management to transfer the core competence inside organization in order to keep it in a high level. A system dynamics quantitative model has been developed as a result of this research. Fluxes and stokes were identified within the model and the relation between them emerged by identifying systemic feedback loops that may compromise the Knowledge Management and the core competence transferring. These features enable a holistic visualization and better understanding of the problem as well as the possibilities of identifying ways of improvement. KEYWORDS: 264Follador RC, Trabasso LG of the core competence inside the organization preventing an ideal sharing of important knowledge. The objective of this paper is to simulate and analyze the KM patterns, in a BAF FTO, in order to apprehend the relationship between the activities of performing flight test campaigns and those of KM within the organization. This problem has been addressed using a system dynamics approach, where a quantitative model is proposed to identify the main stakeholders of the FTO KM system, pointing out fluxes and stocks as well as the relationships between them.This article is organized as follows: the second section presents the literature review and describes the contribution of this paper. The third section describes the methodology used to construct the model. The following section presents the results and discussions about FT KM model, regarding the commitment between performing flight test campaigns and KM activities necessary to maintain the core competence in the organization. The final section summarizes the contribution of this research and discusses future studies. Sterman (2002) suggested that, in a world of accelerating complexity and change, thoughtful leaders increasingly recognize that the management tools that had been used have not only failed to solve the persistent problems encountered, but may, in fact, be causing them. Examples of organizational policy resistance are: well-intentioned efforts to solve pressing problems create unanticipated side effects. "Learning about complex systems when you also live in them is difficult. We are all passengers on an aircraft, we must not only fly but redesign in flight" (Sterman 2002, p. 4). LITERATURE REVIEWTo understand the system a literature revi...

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Section: Systems Dynamicsmentioning

confidence: 99%

Knowledge Management Patterns Model for a Flight Test Environment

Follador¹,

Trabasso²

2016

J.Aerosp. Technol. Manag.

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“…SD modeling has been applied, in specific health care management issues such as health care work-force planning and emergency health care provision (Royston et al, 1999;Lane, 2000), effect of joint health care provision by different sectors (Wolstenholme, 1999), and the effect of a shift from the free-to-service to self-paying service (Hirsch and Immediato, 1999). These models demonstrate the rich variety of areas in which SD may play a significant role in health policy design.…”

Section: Levels Cannot Influence Other Levelsmentioning

confidence: 99%

A dynamic systems approach to weight related health problems

Mehrjerdi

2013

International Journal of Quality &Amp; Reliability Management

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this article is to present a system dynamic model for studying the interconnections between human weight and health problems which cause various problems throughout life. Design/methodology/approach -The paper reviews key points about system thinking, its theories, and system dynamics. Models in the form of causal loops presenting the interconnections between weight factor and health problems are developed and discussed. Thereafter, a flow model of the problem is constructed and deaths caused by heart attack are studied under two situations of regular and taught cases. The paper identifies key health problems related to weight by using causal loops that demonstrate the whole picture of the situation. Findings -With the aid of systems thinking and dynamic modeling researchers can study the impacts of weight on the generation of various health problems such as heart disease, high blood pressure, blood sugar, knee problems and more. This study shows that teaching people about their health will have a significant impact on the number of deaths related to heart attack. Practical implications -With the model proposed here various studies can be carried out that relates weight to health issues. A sample situation is presented where deaths related to heart attack are simulated. Originality/value -This article makes a significant contribution to the health study issues due to the fact that it shows how a factor such as weight can impact on hearth attacks, blood pressure, and blood sugar, to mention a few. To the best of the author's knowledge, this is the first study that relates weight to health problems using systems thinking concepts and system dynamic and it therefore make a significant contribution to the health literature.

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“…It allows managers who are not familiar with calculus and algebra to be involved in building models (Morecroft 1992). By referring to several authors (Antunes et al, 2006;Stave, 2002Stave, , 2003Vennix, 1999;Hall et al, 1994;Coyle, 2000;Lane, 1992Lane, , 2008Wolstenholme, 1999) the use of causal maps in their various forms:…”

Section: Causal Mappingmentioning

confidence: 99%

Ulysse: a qualitative tool for eliciting mental models of complex systems

Desthieux

Joerin

Lebreton³

2010

System Dynamics Review

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Stakeholders involved in the defi nition of managerial problems perceive and internalize the complexity of these problems as mental models. These models are not always made explicit, which can lead to misunderstandings and confl icts. This article presents Ulysse, a tool that enables stakeholders to progressively elicit their mental models as causal loop models. Ulysse uses web technologies that store information in a database and interactively display the modeling results. It is based on matrix calculation that facilitates statistical operations and provides better understanding of the model structure. Analysis and comparison of individual models reveal the most important variables and relationships among them as a basis for identifying key issues, divergent and convergent opinions between stakeholders. Ulysse has been tested in the context of regional economic development in Atlantic Canada. The tool was designed to support managers, during interviews, in building qualitative models of indicators. stage of a model-building process. Ulysse supports interviews with experts for eliciting from them and structuring mental models. The process aims at helping experts build their own view of a system, draw out a causal loop structure from their mental models and sketch out strategies. Ulysse is implemented into a computer interface, based on web technologies. It allows users to store the externalized mental models in a database, analyze them statistically (on content and structure), and display them for communication purposes. Moreover, by comparing and merging individual mental models, a common understanding can be built and it serves as a point of departure for further group discussion. The tool is theoretically grounded in the system dynamics approach, and particularly in conceptual modeling, but it also benefi ts from other fi elds like cognitive and strategy mapping, graph theory and soft system methodology.This article fi rst exposes some theoretical concepts related to conceptualization, mental models and tools based on causal mapping to elicit and analyze models. The Ulysse interface, its components and the stages of using the tool during an eliciting process are then presented. Ulysse is illustrated with the building of a system of indicators for regional development in Atlantic Canada. The last part of the paper discusses the use of Ulysse in a second round which includes further interviews with individuals as well as a group meeting. Conceptualization, mental models and learningGilles Desthieux et al.: Ulysse 165 analyzed considering the number of relationships that the variables generate or receive (see Hall et al., 1994). A high number of relationships reveals a variable that is signifi cant in one of two ways:• Driving-force variables. A high number of relationships originating from a given variable confi rms its importance as a policy or action lever. In other words, such a Fig. 5. Rules for determining the order of variables and relationships (feedback loop case) Fig. 4. Rules for determining the ord...

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Qualitative vs Quantitative Modelling: The Evolving Balance

Cited by 42 publications

References 0 publications

Knowledge Management Patterns Model for a Flight Test Environment

Knowledge Management Patterns Model for a Flight Test Environment

A dynamic systems approach to weight related health problems

Ulysse: a qualitative tool for eliciting mental models of complex systems

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