The impacts of climate change on livestock production are complex problems, existing in the rela-tionship among this sector and others sectors such as environmental, social, economic and political systems. The complexity and dynamic of these impacts cannot be solved simply in isolation with the linear approach. A system thinking methodology is introduced in this paper to understand the impacts of climate change on livestock production, and identify effective interventions strategies to address this systemic problem. System thinking is a way of thinking about the world and relationships which has been developed far along way in the past. Today, systems thinking has become increasingly popular because it provides a \'new way of thinking\' to understand and manage complex problems, whether they rest within a local or global context. While four levels of thinking is a fundamental tool to identify systemic problems, Causal Loop Diagram (CLD) is a visual tool created by a computer program to illustrate the whole picture of climate change impacts. CLD consist of feedbacks for system, which help strategists identify appropriate intervention strategies in solving the systemic problem. / Ảnh hưởng của biến đổi khí hậu đến ngành chăn nuôi là một trong những vấn đề phức tạp, bởi mối quan hệ chặt chẽ có hệ thống của chúng với các lĩnh vực khác như môi trường, xã hội, kinh tế và chính trị. Những tác động phức tạp đa chiều này không thể giải quyết đơn thuần bằng các giải pháp mang tính đơn lẻ. Phương pháp tư duy hệ thống được giới thiệu trong bài này cho phép hiểu đầy đủ, có hệ thống các tác động của biến đổi khí hậu đến ngành chăn nuôi, đồng thời xác định được những giải pháp chiến lược phù hợp để giải quyết vấn đề mang tính hệ thống này. Tư duy hệ thống là cách tư duy và tiếp cận với sự vật, hiện tượng khách quan, và các mối quan hệ của chúng, phương pháp này đã được nghiên cứu và phát triển từ xa xưa. Ngày nay, tư duy hệ thống đang được ứng dụng phổ biến và rộng rãi hơn trong các nghiên cứu phát triển bền vững vì phương pháp này cung cấp một “tư duy mới” để hiểu và quản lý được các vấn đề phức tạp, dù chúng ở qui mô địa phương hay trên phạm vi toàn cầu. Trong đó, bốn cấp bậc của tư duy là công cụ cơ bản để nhận biết các vấn đề phức tạp, và sơ đồ các vòng tròn tác động (CLD) là công cụ trực quan được xây dựng bằng phần mềm máy tính để chỉ ra bức tranh toàn cảnh các tác động của biến đổi khí hậu. Các vòng tròn tác động này phản ánh các diễn biến thực tế và các thông tin giúp cho việc xác định các giải pháp chiến lược.

The Master's Thesis is focused on methods and tools in knowledge management. The paper introduce knowledge management its history and present. Meanwhile history is presented as a list of important events present view is supported by current trends in field of knowledge management, business analysis of selected companies and evaluation of available publications on the topic of knowledge management. The main aim the paper is to present suitable methodology for the initial phase of Mitroff's model - conceptualization. The selected approach is then applied to the model situation. It is the decision of the city government for the construction and expansion of local factory. The last part is about Business Model Canvas which aims to outline the possible application of the methodology in practice.

This diploma thesis focuses on the application of system thinking and its methods to the issues of decision making within destination management and its organizations. The main aim of the thesis was to create a model to support decision making of destination management organization and to plan sustainable and responsible tourism development in the destination. A partial aim was to create a simplified model in which a simulation of the given system was performed. This aim has been applied to the destination of Cesky Krumlov. The contribution of the work is to find optimal decisions, policies and individual processes in order to assess the subsequent impacts and manage the development of tourism destination towards sustainability.

Indigenous (Métis, First Nation, and Inuit) peoples and communities in Canada, especially in the prairies, continue to experience disproportionate levels of tuberculosis (TB) compared to the rest of the Canadian born population. This inequitable distribution of TB disease burden demands effective policy, program, and practice responses. These have so far failed to materialize, perhaps in part because of limitations in the approaches we have taken to understanding the issue. As well, these responses have largely been grounded in western scientific paradigms. Science is the search and the re-search for knowledge and this varies according to the perspectives and paradigms of the researcher(s) and stakeholders. In this project, the student researcher collaborated with the Métis Nation-Saskatchewan (MN-S) and two volunteer health researchers to adapt and ground a western paradigm and methodology (System Dynamics and Group Model Building) to a Métis research paradigm to understand experiences of tuberculosis (TB) among Métis people. Data collection took place in a 2-day Métis-adapted group model building (GMB) workshop. The outcome is a causal loop diagram with associated stories co-created by the team and the workshop participants. The workshop was evaluated using a storytelling and story listening method that explored the appropriateness of adapting GMB within a Métis research context. The approach was determined to be successful methodologically, and substantively new knowledge was created in our Métis community about the determinants of TB. This research was a journey of diversity, working at the intersection of knowledge systems to produce a new understanding of a health issue as complex as TB.

A large part of Swedish medical care is expected to be provided from the primary health centers. However, these centers are experiencing challenges in terms of shortages of personnel, an increased volume of patients, higher workload, increasing queue lengths, and increasing costs. Addressing these issues at the primary health centers is important for both improving the operation at the local centers and the functionality of the Swedish healthcare system. This thesis aims to explore the primary health center operation, focusing on a typical public primary health center in Stockholm. This is done to find parameters that affect the flow of patients and develop a graphical model that serves as a foundation for further model development, simulations and optimization of good health. To address the complex and dynamic primary health center system, a system dynamics approach is adopted. A literature review was conducted to gain an understanding of the primary health center environment and to identify parameters that impact the primary health centers ability to operate and/or affect the quality of service towards patients. The model development involved constructing cases and extracting parameters that change over time. The parameter relationships were determined through interpretation and are supported by literature. The model was qualitatively validated with the assistance of expert feedback. The presented result is determined to capture the basic operation of the primary health center and the model can be used as a foundation for further simulations. / En stor del av den svenska sjukvården förväntas levereras från vårdcentraler. Vårdcentralerna står dock inför utmaningar när det gäller brist på personal, ökad patientvolym, högre arbetsbelastning, ökade kölängder och ökande kostnader. Att hantera dessa problem på vårdcentralerna är viktigt både för att förbättra den lokala verksamheten och funktionaliteten i svensk hälso- och sjukvård. Syftet med detta arbete är att undersöka vårdcentralens verksamhet och fokuserar på en typisk offentlig vårdcentral i Stockholm. Detta görs för att hitta parametrar som påverkar patientflödet, för att utveckla en grafisk modell som utgör en grund för vidare modellutveckling, simuleringar och optimering av god hälsa. För att adressera det komplexa och dynamiska vårdcentral-systemet antas ett system dynamiskt tillvägagångssätt. En litteraturgenomgång genomfördes för att få en förståelse för vårdcentralens miljö och identifiera parametrar som påverkar vårdcentralens förmåga att driva verksamheten och/eller påverkar kvaliteten på vården för patienter. Modellutvecklingen innebar att konstruera fall och extrahera parametrar som förändras över tid. Parametrarnas relationer bestämdes genom tolkning och stöds av litteratur. Modellen genomgick en kvalitativ valideringsprocess baserad på expertutlåtanden. Resultatet, den grafiska modellen, som presenteras anses fånga vårdcentralens grundläggande funktion och kan användas som grund för vidare simuleringar.

System dynamics modelling has been used for around 40 years to address complex, systemic, dynamic problems, those often described as wicked. But, system dynamics modelling is not an exact science and arguments about the most suitable techniques to use in which circumstances, continues. The nature of these wicked problems is investigated through a series of case studies where poor situational awareness among stakeholders was identified. This was found to be an underlying cause for management failure, suggesting need for better ways of recognising and managing wicked problem situations. Human cognition is considered both as a limitation and enabler to decision-making in wicked problem environments. Naturalistic and deliberate decision-making are reviewed. The thesis identifies the need for integration of qualitative and quantitative techniques. Case study results and a review of the literature led to identification of a set of principles of method to be applied in an integrated framework, the aim being to develop an improved way of addressing wicked problems. These principles were applied to a series of cases in an action research setting. However, organisational and political barriers were encountered. This limited the exploitation and investigation of cases to varying degrees. In response to a need identified in the literature review and the case studies, a tool is designed to facilitate analysis of multi-factorial, non-linear causality. This unique tool and its use to assist in problem conceptualisation, and as an aid to testing alternate strategies, are demonstrated. Further investigation is needed in relation to the veracity of combining causal influences using this tool and system dynamics, broadly. System dynamics modelling was found to have utility needed to support analysis of wicked problems. However, failure in a particular modelling project occurred when it was found necessary to rely on human judgement in estimating values to be input into the models. This was found to be problematic and unacceptably risky for sponsors of the modelling effort. Finally, this work has also identified that further study is required into: the use of human judgement in decision-making and the validity of system dynamics models that rely on the quantification of human judgement.

System dynamics modelling has been used for around 40 years to address complex, systemic, dynamic problems, those often described as wicked. But, system dynamics modelling is not an exact science and arguments about the most suitable techniques to use in which circumstances, continues. The nature of these wicked problems is investigated through a series of case studies where poor situational awareness among stakeholders was identified. This was found to be an underlying cause for management failure, suggesting need for better ways of recognising and managing wicked problem situations. Human cognition is considered both as a limitation and enabler to decision-making in wicked problem environments. Naturalistic and deliberate decision-making are reviewed. The thesis identifies the need for integration of qualitative and quantitative techniques. Case study results and a review of the literature led to identification of a set of principles of method to be applied in an integrated framework, the aim being to develop an improved way of addressing wicked problems. These principles were applied to a series of cases in an action research setting. However, organisational and political barriers were encountered. This limited the exploitation and investigation of cases to varying degrees. In response to a need identified in the literature review and the case studies, a tool is designed to facilitate analysis of multi-factorial, non-linear causality. This unique tool and its use to assist in problem conceptualisation, and as an aid to testing alternate strategies, are demonstrated. Further investigation is needed in relation to the veracity of combining causal influences using this tool and system dynamics, broadly. System dynamics modelling was found to have utility needed to support analysis of wicked problems. However, failure in a particular modelling project occurred when it was found necessary to rely on human judgement in estimating values to be input into the models. This was found to be problematic and unacceptably risky for sponsors of the modelling effort. Finally, this work has also identified that further study is required into: the use of human judgement in decision-making and the validity of system dynamics models that rely on the quantification of human judgement.

A fundamental change in societal values and economic structures is required to address increasing pressures on ecosystems and natural resources. Transition research has developed in the last decades to analyze the co-dynamics of technological, institutional, social and economic elements in the provision of key functions such as energy, water and food supply. This doctoral dissertation provides conceptual and methodological contributions to the pro-active governance of sustainability transitions. Three research gaps are identified that are addressed in this dissertation. First, a comprehensive conceptualization of learning in sustainability transitions is currently missing that comprises learning at multiple societal levels (ranging from individuals to policy-actors). Learning concepts are often not explicitly discussed in transition research even though learning is considered as fundamental for innovation processes, niche formation and development as well as breakthrough and diffusion of innovations. Second, methods for the analysis and design of transition governance processes are lacking that specify case-specific intervention points and roles of actors in the implementation of innovations. Third, participatory modeling approaches are only applied to a limited extent in transition research despite a high potential for supporting communication and learning. The conceptualization of multi-level learning developed in this doctoral research conceptualizes learning at different societal levels as specific learning contexts ranging from individual and group contexts to organizational and policy contexts. The conceptual framework further differentiates between learning processes, intensity, objects, outcomes, subjects and factors, allowing for a more detailed analysis of learning within and across learning contexts. Thus, learning contexts can be linked by processes that involve actors from different learning contexts (e.g., community groups and policy-makers), as well as exchanges of physical aspects, institutions and knowledge (in the form of ‘learning factors’). This research has also provided a classification of model uses in transition research that supports a purposeful discussion of the opportunities of modeling and promising future research directions. The methodology developed in this doctoral research aims at the analysis and design of transition governance processes by specifying the various opportunities to contribute to sustainability transitions through purposeful action at different societal levels, as well as related roles of stakeholders in implementing such processes of change. The methodology combines different streams of previous research: 1) a participatory modeling approach to identify problem perceptions, case-specific sustainability innovations as well as related implementation barriers, drivers and responsibilities; 2) a systematic review to identify supportive and impeding learning factors from the general literature that can complement case-specific factors; and 3) a method for the analysis and design of case-specific transition governance processes. Three case studies in Canada (topic: sustainable food systems), Cyprus (water-energy-food nexus) and Germany (sustainable heating supply) have been selected to test and iteratively develop the methodology described above. The results for each case study reveal that there are learning objects (i.e., learning requirements) in all learning contexts, which underscores the importance of multi-level learning in sustainability transitions, ranging from the individual to the group, organizational and policy levels. Actors have various opportunities to actively facilitate societal transformations towards sustainable development either directly through actions at their particular societal levels (i.e., context-internal learning) or indirectly through actions that influence learning at other societal levels. In fact, most of the learning factors require cooperation across learning contexts during the implementation process. The comparing of learning factors across case studies underline the importance of several factor categories, such as ‘physical a ‘disturbance or crisis’, ‘information and knowledge’. Of the 206 factors identified by stakeholders, 40 factors are case-specific and not contained in the general, review-based factor list. This underscores the value of participatory research, as general, top-down analyses might have overlooked these case-specific factors. The methodology presented in this dissertation allows for the identification and analysis of case-specific intervention points for sustainability transitions at multiple societal levels. The methodology furthermore permits the analysis of interplay between individual, group, organizational and policy actions, which is a first step towards their coordination. The focus on sustainability innovations links the broad topic of sustainability transitions to a set of opportunities for practical interventions and overcoming their implementation barriers. The methodology presented allows for the analysis and design of these interlinkages between learning contexts. While the methodology cannot provide any ‘silver bullets’ for inducing sustainability transitions, it is flexible enough to identify an appropriate abstraction level for analyzing and designing transition governance processes. The methodology developed in this doctoral research also provides several contributions for the development of participatory modeling methods in transition research. Thus, the participatory method supports an integrated analysis of barriers and drivers of sustainability innovations, and allows application in practice and education. The concepts and methods developed in this research project allow for reflection on transition governance processes from a systemic viewpoint. Experiences in the case studies underline the applicability of the concepts and methods developed for the analysis of case-specific transition governance processes. Despite substantial differences in the geographic location, culture and topics addressed, all case studies include promising sustainability innovations and the engagement of multiple actors in their implementation. The diversity and multitude of initiatives in the case study regions provides an optimistic outlook on future opportunities for large-scale sustainability transitions.