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| causal loop diagram example: The Fifth Discipline Peter M. Senge, 2010-03-31 MORE THAN ONE MILLION COPIES IN PRINT • “One of the seminal management books of the past seventy-five years.”—Harvard Business Review This revised edition of the bestselling classic is based on fifteen years of experience in putting Peter Senge’s ideas into practice. As Senge makes clear, in the long run the only sustainable competitive advantage is your organization’s ability to learn faster than the competition. The leadership stories demonstrate the many ways that the core ideas of the Fifth Discipline, many of which seemed radical when first published, have become deeply integrated into people’s ways of seeing the world and their managerial practices. Senge describes how companies can rid themselves of the learning blocks that threaten their productivity and success by adopting the strategies of learning organizations, in which new and expansive patterns of thinking are nurtured, collective aspiration is set free, and people are continually learning how to create the results they truly desire. Mastering the disciplines Senge outlines in the book will: • Reignite the spark of genuine learning driven by people focused on what truly matters to them • Bridge teamwork into macrocreativity • Free you of confining assumptions and mindsets • Teach you to see the forest and the trees • End the struggle between work and personal time This updated edition contains more than one hundred pages of new material based on interviews with dozens of practitioners at companies such as BP, Unilever, Intel, Ford, HP, and Saudi Aramco and organizations such as Roca, Oxfam, and The World Bank. |
| causal loop diagram example: System Dynamics Bilash Kanti Bala, Fatimah Mohamed Arshad, Kusairi Mohd Noh, 2016-10-28 This book covers the broad spectrum of system dynamics methodologies for the modelling and simulation of complex systems: systems thinking, causal diagrams, systems structure of stock and flow diagrams, parameter estimation and tests for confidence building in system dynamics models. It includes a comprehensive review of model validation and policy design and provides a practical presentation of system dynamics modelling. It also offers numerous worked-out examples and case studies in diverse fields using STELLA and VENSIM. The system dynamics methodologies presented here can be applied to nearly all areas of research and planning, and the simulations provided make the complicated issues more easily understandable. System Dynamics: Modelling and Simulation is an essential system dynamics and systems engineering textbook for undergraduate and graduate courses. It also offers an excellent reference guide for managers in industry and policy planners who wish to use modelling and simulation to manage complex systems more effectively, as well as researchers in the fields of modelling and simulation-based systems thinking. |
| causal loop diagram example: Community Based System Dynamics Peter S. Hovmand, 2013-11-09 Community Based System Dynamics introduces researchers and practitioners to the design and application of participatory systems modeling with diverse communities. The book bridges community- based participatory research methods and rigorous computational modeling approaches to understanding communities as complex systems. It emphasizes the importance of community involvement both to understand the underlying system and to aid in implementation. Comprehensive in its scope, the volume includes topics that span the entire process of participatory systems modeling, from the initial engagement and conceptualization of community issues to model building, analysis, and project evaluation. Community Based System Dynamics is a highly valuable resource for anyone interested in helping to advance social justice using system dynamics, community involvement, and group model building, and helping to make communities a better place. |
| causal loop diagram example: Systems Archetype Basics Daniel H. Kim, Virginia Anderson, 2007 |
| causal loop diagram example: Large-Scale Scrum Craig Larman, Bas Vodde, 2016-09-30 The Go-To Resource for Large-Scale Organizations to Be Agile Rather than asking, “How can we do agile at scale in our big complex organization?” a different and deeper question is, “How can we have the same simple structure that Scrum offers for the organization, and be agile at scale rather than do agile?” This profound insight is at the heart of LeSS (Large-Scale Scrum). In Large-Scale Scrum: More with LeSS, Craig Larman and Bas Vodde have distilled over a decade of experience in large-scale LeSS adoptions towards a simpler organization that delivers more flexibility with less complexity, more value with less waste, and more purpose with less prescription. Targeted to anyone involved in large-scale development, Large-Scale Scrum: More with LeSS, offers straight-to-the-point guides for how to be agile at scale, with LeSS. It will clearly guide you to Adopt LeSS Structure a large development organization for customer value Clarify the role of management and Scrum Master Define what your product is, and why Be a great Product Owner Work with multiple whole-product focused feature teams in one Sprint that produces a shippable product Coordinate and integrate between teams Work with multi-site teams |
| causal loop diagram example: Introduction to Modeling Sustainable Development in Business Processes Dirk Inghels, 2020-11-05 Sustainable development and corporate social responsibility drive countries, regions, and businesses to take environmental and social concerns into account when realizing economic objectives. A growing awareness of the connectedness between industrial, societal, and environmental systems might shift the way businesses will be operated. This book aims to help students and business practitioners use quantitative modeling in their pursuit to make business processes sustainable. Two approaches are introduced: linear optimization and system dynamics. Moreover, the quantification of the three different sustainability objectives is also addressed. Next to introducing the theoretical background, many real-life examples are discussed to demonstrate how the modelling techniques can be applied. |
| causal loop diagram example: Systems Archetypes I Daniel H. Kim, 1992 |
| causal loop diagram example: Thinking in Circles About Obesity Tarek K. A. Hamid, 2009-09-22 Today’s children may well become the first generation of Americans whose life expectancy will be shorter than that of their parents. The culprit, public health experts agree, is obesity and its associated health problems. Heretofore, the strategy to slow obesity’s galloping pace has been driven by what the philosopher Karl Popper calls ‘‘the bucket theory of the mind. ’’ When minds are seen as containers and public understanding is viewed as being a function of how many scientific facts are known, the focus is naturally on how many scientific facts public minds contain. But the strategy has not worked. Despite all the diet books, the wide availability of reduced-calorie and reduced-fat foods, and the broad publicity about the obesity problem, America’s waistline continues to expand. It will take more than food pyramid images or a new nutritional guideline to stem obesity’s escalation. Albert Einstein once observed that the significant problems we face cannot be solved at the same level of thinking we were at when we created them, and that we would have to shift to a new level, a deeper level of thinking,tosolvethem. Thisbookarguesfor,andpresents,adifferent perspective for thinking about and addressing the obesity problem: a systems thinking perspective. While already commonplace in engineering and in business, the use of systems thinking in personal health is less widely adopted. Yet this is precisely the setting where complexities are most problematicandwherethestakesarehighest. |
| causal loop diagram example: Business Modeling David M. Bridgeland, Ron Zahavi, 2008-12-18 As business modeling becomes mainstream, every year more and more companies and government agencies are creating models of their businesses. But creating good business models is not a simple endeavor. Business modeling requires new skills. Written by two business modeling experts, this book shows you how to make your business modeling efforts successful. It provides in-depth coverage of each of the four distinct business modeling disciplines, helping you master them all and understand how to effectively combine them. It also details best practices for working with subject matter experts. And it shows how to develop models, and then analyze, simulate, and deploy them. This is essential, authoritative information that will put you miles ahead of everyone who continues to approach business modeling haphazardly. - Provides in-depth coverage of the four business modeling disciplines: process modeling, motivation modeling, organization modeling, and rules modeling - Offers guidance on how to work effectively with subject matter experts and how to run business modeling workshops - Details today's best practices for building effective business models, and describes common mistakes that should be avoided - Describes standards for each business modeling discipline - Explains how to analyze, simulate, and deploy business models - Includes examples both from the authors' work with clients and from a single running example that spans the book |
| causal loop diagram example: Leveraging Data Science for Global Health Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai, 2020-07-31 This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient. |
| causal loop diagram example: Business Dynamics: Systems Thinking and Modeling for a Complex World with CD-ROM John Sterman, 2000-02-23 Today’s leading authority on the subject of this text is the author, MIT Standish Professor of Management and Director of the System Dynamics Group, John D. Sterman. Sterman’s objective is to explain, in a true textbook format, what system dynamics is, and how it can be successfully applied to solve business and organizational problems. System dynamics is both a currently utilized approach to organizational problem solving at the professional level, and a field of study in business, engineering, and social and physical sciences. |
| causal loop diagram example: The Systems Thinking Playbook Linda Booth Sweeney, Dennis Meadows, 2010 DVD contains videos illustrating good practice in introducing and running 30 games. |
| causal loop diagram example: Group Model Building Jac Vennix, 1996-08-16 This book is about increasing team performance. It focuses on building system dynamics models when tackling a mix of interrelated strategic problems to enhance team learning, foster consensus, and create commitment. The book is intended to be applied in the organizations of today. As the command and control organization evolves into one of decision-making teams, so these teams have become the critical building blocks upon which the performance of the organization depends. The team members face an increased complexity of decision making with the interrelation of several strategic problems. What this means is that people have different views of the situation and will define problems differently. However, research shows that this can in fact be very productive if and when people learn from each other in order to build a shared perspective. Learning in this way might prove to be the only sustainable competitive advantage for organizations in the future. As a result, team leaders want to create learning teams and are confronted with issues such as how to: create a situation where people doubt their ideas rather than stubbornly cling to dearly held views create a learning atmosphere rather than trying to win the discussion create a shared understanding of a problem in a team foster consensus and create commitment with a strategic decision facilitate Group Model Building Those who will benefit most from Group Model Building: Facilitating Team Learning Using System Dynamics are those who are familiar with systems thinking or organizational learning, or those who are working in groups and are coming up against the common difficulties. |
| causal loop diagram example: Systems Thinking Basics Virginia Anderson, Lauren Johnson, 1997 Systems Thinking Basics is a self-study, skill-building resource designed to introduce you to the power of systems thinking tools. With an emphasis on behavior over time graphs and causal loop diagrams, this workbook guides you step by step through: Recognizing systems and understanding the importance of systems thinking Interpreting and creating behavior over time graphs and causal loop diagrams Applying and practicing systems thinking day-to-day Each of the book's six main sections contains a wealth of examples from the business world, as well as learning activities that reinforce concepts and provide you with the opportunity and space to practice. An array of appendices offers: Extra practice activities A summary of key points and suggested responses to the learning activities A table showing the palette of systems thinking tools available A glossary of systems thinking terms A list of additional resources A summary of the systems archetypes The many diagrams within the book clarify concepts and visually reinforce key principles. Systems Thinking Basics is ideal for aspiring systems thinkers eager to try their hand at using these powerful tools |
| causal loop diagram example: Intervening and Changing Jaap Boonstra, Leon de Caluwe, 2007-04-30 Presenting new thinking in organizational psychology from the Netherlands, Intervening and Changing is a guide to applying global thinking and democratic values to achieve innovation. Expertly steered by Jaap Boonstra and Leon de Caluwe, it explores tensions and paradoxes in the field of organizational change and presents interventions based in social interaction theory. Its vision is of people collaborating, making sense of their work and living situations and developing collaborative action for breakthrough innovation will be a source of inspiration for any manager, consultant or change agent. |
| causal loop diagram example: Feedback Thought in Social Science and Systems Theory George P. Richardson, 1999 This is a study of a method of thinking in the social sciences known as the loop concept. This concept underlies the notions of feedback and circular causality. The author attempts to illuminate the significance of classical and contemporary feedback thinking in social science and social policy. |
| causal loop diagram example: Making Policies Work Giliberto Capano, Michael Howlett, M Ramesh, Altaf Virani, 2019 Policy design efforts are hampered by inadequate understanding of how policy tools and actions promote effective policies. The objective of this book is to address this gap in understanding by proposing a causal theory of the linkages between policy actions and policy effects. Adopting a mechanistic perspective, the book identifies the causal processes that activate effects and help achieve goals. It thus offers a powerful analytical tool to both scholars and practitioners of public policy seeking to design effective policies. |
| causal loop diagram example: Causal Inference Scott Cunningham, 2021-01-26 An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages. |
| causal loop diagram example: Supply Chain Management For Dummies Daniel Stanton, 2017-11-29 Everyone can impact the supply chain Supply Chain Management For Dummies helps you connect the dots between things like purchasing, logistics, and operations to see how the big picture is affected by seemingly isolated inefficiencies. Your business is a system, made of many moving parts that must synchronize to most efficiently meet the needs of your customers—and your shareholders. Interruptions in one area ripple throughout the entire operation, disrupting the careful coordination that makes businesses successful; that's where supply chain management (SCM) comes in. SCM means different things to different people, and many different models exist to meet the needs of different industries. This book focuses on the broadly-applicable Supply Chain Operations Reference (SCOR) Model: Plan, Source, Make, Deliver, Return, and Enable, to describe the basic techniques and key concepts that keep businesses running smoothly. Whether you're in sales, HR, or product development, the decisions you make every day can impact the supply chain. This book shows you how to factor broader impact into your decision making process based on your place in the system. Improve processes by determining your metrics Choose the right software and implement appropriate automation Evaluate and mitigate risks at all steps in the supply chain Help your business function as a system to more effectively meet customer needs We tend to think of the supply chain as suppliers, logistics, and warehousing—but it's so much more than that. Every single person in your organization, from the mailroom to the C-suite, can work to enhance or hinder the flow. Supply Chain Management For Dummies shows you what you need to know to make sure your impact leads to positive outcomes. |
| causal loop diagram example: Introduction to Systems Thinking Daniel H. Kim, 1999 |
| causal loop diagram example: Thinking in Systems Donella Meadows, 2008-12-03 The classic book on systems thinking—with more than half a million copies sold worldwide! This is a fabulous book... This book opened my mind and reshaped the way I think about investing.—Forbes Thinking in Systems is required reading for anyone hoping to run a successful company, community, or country. Learning how to think in systems is now part of change-agent literacy. And this is the best book of its kind.—Hunter Lovins In the years following her role as the lead author of the international bestseller, Limits to Growth—the first book to show the consequences of unchecked growth on a finite planet—Donella Meadows remained a pioneer of environmental and social analysis until her untimely death in 2001. Thinking in Systems is a concise and crucial book offering insight for problem solving on scales ranging from the personal to the global. Edited by the Sustainability Institute’s Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life. Some of the biggest problems facing the world—war, hunger, poverty, and environmental degradation—are essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking. While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner. In a world growing ever more complicated, crowded, and interdependent, Thinking in Systems helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions. |
| causal loop diagram example: Digital Business Transformation Rocco Agrifoglio, Rita Lamboglia, Daniela Mancini, Francesca Ricciardi, 2020-09-15 The recent surge of interest in “digital transformation” is changing the business landscape and posing several challenges, both organizational and sectoral. This transformation involves the application of digital technology in all aspects of business, and enables organizations to create new products and services, and to find more efficient ways of doing business. Moreover, the digital transformation is happening within and across organizations of all types and in every industry, producing a disruptive innovation that can break down the barriers between people and organizations, and help create more adaptive processes. In the information age, it is imperative for organizations to develop IT-related capabilities that allow them to leverage the potential of digital technologies. Due to the pervasive effects of this transformation on processes, firms and industries, both scholars and practitioners are interested in better understanding the key mechanisms behind the emergence and evolution of the digital business transformation. This book presents a collection of research papers focusing on the relationships between technologies (e.g., digital platforms, AI, blockchain, etc.), processes (e.g., decision-making, co-creation, financial, compliance, etc.), and organizations (e.g., smart organizations, digital ecosystems, Industry 4.0, collaborative networked organizations, etc.), which have been categorized into three major areas: organizing, managing and controlling. It also provides critical insights into how the digital transformation is enhancing organizational processes and firms’ performance through an exploration and exploitation of internal resources, and through the establishment of external connections and linkages. The plurality of views offered makes this book particularly relevant for users, companies, scientists, and governments. The content of the book is based on a selection of the best papers (original double-blind peer-reviewed contributions) presented at the annual conference of the Italian chapter of the AIS, which was held in Naples, Italy in September 2019. |
| causal loop diagram example: The Wisdom of Teams Jon R. Katzenbach, Douglas K. Smith, 2015-09-22 The definitive classic on high-performance teams The Wisdom of Teams is the definitive work on how to create high-performance teams in any organization. Having sold nearly a half million copies and been translated into more than fifteen languages, the authors’ clarion call that teams should be the basic unit of organization for most businesses has permanently shaped the way companies reach the highest levels of performance. Using engaging case studies and testimonials from both successful and failed teams—ranging from Fortune 500 companies to the U.S. Army to high school sports—the authors explain the dynamics of teams both in great detail and with a broad view. Their conclusions and prescriptions span the familiar to the counterintuitive: • Commitment to performance goals and common purpose is more important to team success than team building. • Opportunities for teams exist in all parts of the organization. • Real teams are the most successful spearheads of change at all levels. • Working in teams naturally integrates performance and learning. • Team “endings” can be as important to manage as team “beginnings.” Wisdom lies in recognizing a team’s unique potential to deliver results and in understanding its many benefits—development of individual members, team accomplishments, and stronger companywide performance. Katzenbach and Smith’s comprehensive classic is the essential guide to unlocking the potential of teams in your organization. |
| causal loop diagram example: The "thinking" in Systems Thinking Barry Richmond, 2000-01-01 |
| causal loop diagram example: Seeing the Forest for the Trees Dennis Sherwood, 2011-03-30 How to use Systems Thinking to improve your business. |
| causal loop diagram example: An Integrated Framework for Assessing the Value of Community-Based Prevention Institute of Medicine, Board on Population Health and Public Health Practice, Committee on Valuing Community-Based, Non-Clinical Prevention Policies and Wellness Strategies, 2012-11-29 During the past century the major causes of morbidity and mortality in the United States have shifted from those related to communicable diseases to those due to chronic diseases. Just as the major causes of morbidity and mortality have changed, so too has the understanding of health and what makes people healthy or ill. Research has documented the importance of the social determinants of health (for example, socioeconomic status and education) that affect health directly as well as through their impact on other health determinants such as risk factors. Targeting interventions toward the conditions associated with today's challenges to living a healthy life requires an increased emphasis on the factors that affect the current cause of morbidity and mortality, factors such as the social determinants of health. Many community-based prevention interventions target such conditions. Community-based prevention interventions offer three distinct strengths. First, because the intervention is implemented population-wide it is inclusive and not dependent on access to a health care system. Second, by directing strategies at an entire population an intervention can reach individuals at all levels of risk. And finally, some lifestyle and behavioral risk factors are shaped by conditions not under an individual's control. For example, encouraging an individual to eat healthy food when none is accessible undermines the potential for successful behavioral change. Community-based prevention interventions can be designed to affect environmental and social conditions that are out of the reach of clinical services. Four foundations - the California Endowment, the de Beaumont Foundation, the W.K. Kellogg Foundation, and the Robert Wood Johnson Foundation - asked the Institute of Medicine to convene an expert committee to develop a framework for assessing the value of community-based, non-clinical prevention policies and wellness strategies, especially those targeting the prevention of long-term, chronic diseases. The charge to the committee was to define community-based, non-clinical prevention policy and wellness strategies; define the value for community-based, non-clinical prevention policies and wellness strategies; and analyze current frameworks used to assess the value of community-based, non-clinical prevention policies and wellness strategies, including the methodologies and measures used and the short- and long-term impacts of such prevention policy and wellness strategies on health care spending and public health. An Integrated Framework for Assessing the Value of Community-Based Prevention summarizes the committee's findings. |
| causal loop diagram example: Quality Software Management: Systems thinking Gerald M. Weinberg, 1992 In the first of three volumes about quality, management, and productivity, Weinberg discusses software development organizations in terms of their culture, and he observes the patterns of their behavior. Organizations can be classified as one of six cultural patterns, ranging from Pattern One (obvio |
| causal loop diagram example: Sustainability Science Bert de Vries, 2013 This textbook surveys key issues of sustainability - energy, nature, agro-food, resources, economics - for advanced undergraduate and graduate level courses. |
| causal loop diagram example: Discrete-Event Simulation and System Dynamics for Management Decision Making Sally Brailsford, Leonid Churilov, Brian Dangerfield, 2014-03-31 In recent years, there has been a growing debate, particularly in the UK and Europe, over the merits of using discrete-event simulation (DES) and system dynamics (SD); there are now instances where both methodologies were employed on the same problem. This book details each method, comparing each in terms of both theory and their application to various problem situations. It also provides a seamless treatment of various topics--theory, philosophy, detailed mechanics, practical implementation--providing a systematic treatment of the methodologies of DES and SD, which previously have been treated separately. |
| causal loop diagram example: Informed Systems Mary M. Somerville, 2015-07-10 By fostering principles of systems thinking and informed learning though an inclusive, participatory design process that advances information exchange, reflective dialogue, and knowledge creation, the Informed Systems Approach promotes conceptual change in workplace organizations. Informed Systems explores theory-based participatory action research and provides examples of agile process models for activating sustainable design, dialogue, and reflection processes in today’s organizations. This book also examines forward thinking frameworks for academic libraries, and how they can be used in the context of dynamically changing scholarly communications. Chapters further the expression of collaborative information practices that enrich information experiences by simultaneously advancing both situated domain knowledge and transferable learning capacity. Design (and redesign) activities well integrated into the workplace culture are expressed through sustainable processes and practices that produce rich information experiences. Informed learning both promotes and sustains continuous learning, including collective reflection on information sources, collaborative practices, and systems functionalities. In these ways, transferable topical understandings and information resiliency manifest action oriented intention to ensure improvements of real world situations. Transferable critique of the leadership issues facing contemporary library organizations across the globe Agile process models for activating sustainable design, dialogue, and reflection processes in today’s organizations Theory-based participatory action research illustrations of the efficacy of systems thinking interventions Forward thinking frameworks for academic libraries in dynamically changing scholarly communications contexts Proven organizational transformation strategies, building upon theoretical concepts, for nimble responsiveness |
| causal loop diagram example: Systems Archetypes II Daniel H. Kim, 1994 |
| causal loop diagram example: Low Carbon Mobility Transitions Debbie Hopkins, James Higham, 2016-11-30 A thorough examination of how methods of low-carbon transport can be implemented using international case studies, with contributions from recognised industry experts, academics and policy makers. |
| causal loop diagram example: The Book of Why Judea Pearl, Dana Mackenzie, 2018-05-15 A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence Correlation is not causation. This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why. |
| causal loop diagram example: Energy Systems Engineering: Evaluation and Implementation Francis Vanek, Louis Albright, 2008-06-15 Market: energy professionals including analysts, system engineers, mechanical engineers, and electrical engineers Problems and worked-out equations use SI units |
| causal loop diagram example: Proceedings of the 17th International Symposium on Advancement of Construction Management and Real Estate Jiayuan Wang, Zhikun Ding, Liang Zou, Jian Zuo, 2014-03-12 The Chinese Research Institute of Construction Management (CRIOCM) in collaboration with Shenzhen University (SZU) proudly invites all academics, researchers and professionals to participate in the CRIOCM 2012, the 17th International Symposium on Advancement of Construction Management and Real Estate. We will uphold and preserve the idea and tradition of pragmatism and innovation, to offer an excellent academic and communication platform for academics and professionals to exchange information on the latest developments in real estate and construction management. |
| causal loop diagram example: Multilevel Network Analysis for the Social Sciences Emmanuel Lazega, Tom A.B. Snijders, 2015-12-16 This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable. |
| causal loop diagram example: Systems Practice: How to Act in a Climate Change World Ray Ison, 2010-07-20 It is now accepted that humans are changing the climate of the Earth and this is the most compelling amongst a long litany of reasons as to why, collectively, we have to change our ways of thinking and acting. Most people now recognise that we have to be capable of adapting quickly as new and uncertain circumstances emerge: this capability will need to exist at personal, group, community, regional, national and international levels, all at the same time. Systems Practice is structured into four parts. Part I introduces the societal need to move towards a more systemic and adaptive governance against the backdrop of human-induced climate change. Part II unpacks what is involved in systems practice by means of a juggler metaphor; examining situations where systems thinking offers useful understanding and opportunities for change. Part III identifies the main factors that constrain the uptake of systems practice and makes the case for innovation in practice by means of systemic inquiry, systemic action research and systemic intervention. The book concludes with Part IV, which critically examines how systems practice is, or might be, utilised at different levels from the personal to the societal. The development of our capabilities to think and act systemically is an urgent priority and Systems Practice aims to show how to do systems thinking and translate that thinking into praxis (theory informed practical action) which will be welcomed by those managing in situations of complexity and uncertainty across all domains of professional and personal concern. |
| causal loop diagram example: Proceeding of the 1st International Conference on Tropical Agriculture Alim Isnansetyo, Tri Rini Nuringtyas, 2017-11-21 The proceeding of tropical agriculture is a proceeding of papers presented at the International Conference on Tropical Agriculture. Sustainability of agriculture production system is an important issue in the world, which includes all aspects of sustainable criteria, such as technical, socio-economic, and ecological aspects. This book covers sustainable tropical agriculture, sustainable tropical fisheries, sustainable tropical animal production, sustainable tropical forestry, tropical animal health, and Innovative and Emerging Food Technology and Management. The most common, challenging issues in plant, animal and fisheries production in the tropics are climate change, inefficiency production system, low technological innovation, decreasing environment quality, and the outbreak risk of pest and diseases. These issues are closely linked to the socio-economic condition of farmers as small-scale farms are dominant in this area. In addition, post-harvest technology is crucial to maintaining the high quality of products after on farm production. This volume provides the recent research and development on tropical agriculture production systems for plant, terrestrial animal and aquatic animal to establish sustainable agriculture production in the tropics. |
| causal loop diagram example: Strategic Modelling and Business Dynamics John Morecroft, 2007-09-10 John Morecroft's book is an ideal text for students interested in system modelling and its application to a range of real world problems. The book covers all that is necessary to develop expertise in system dynamics modelling and through the range of applications makes a persuasive case for the power and scope of the approach. As such it will appeal to practitioners as well as students. Robert Dyson, Professor of Operational Research, Associate Dean, Warwick Business School. Much more than an introduction, John Morecroft's Strategic Modelling and Business Dynamics uses interactive management flight simulators to create an engaging and effective learning environment in which readers, whatever their background, can develop their intuition about complex dynamic systems. The numerous examples provide a rich test-bed for the development of systems thinking and modelling skills John Sterman, Jay W. Forrester Professor of Management, MIT Sloan School of Management This book, with its vivid examples and simulators, will help to bring modelling, system dynamics and simulation into the mainstream of management education where they now belong. John A. Quelch, Professor of Marketing, Harvard Business School, Former Dean of London Business School This text fills the gap between texts focusing on the purely descriptive systems approach and the more technical system dynamics ones. Ann van Ackere, Professor of Decision Sciences, HEC Lausanne, Universit? de Lausanne Strategic modelling based on system dynamics is a powerful tool for understanding how firms adapt to a changing environment. The author demonstrates the appeal and power of business modelling to make sense of strategic initiatives and to anticipate their impacts through simulation. The book offers various simulators that allow readers to conduct their own policy experiments. Dr. Erich Zahn, Professor of Strategic Management, Betriebswirtschaftliches Institut, University of Stuttgart A website to accompany the book can be found at www.wiley.com/college/morecroft housing supplementary material for both students and lecturers. |
| causal loop diagram example: Production and Operations Analysis Susmita Bandyopadhyay, 2019-12-18 The aim of this book is to cover various aspects of the Production and Operations Analysis. Apart from the introduction to basic understanding of each topic, the book will also provide insights to various conventional techniques as well as, various other mathematical and nature-based techniques extracted from the existing literature. Concepts like smart factories, intelligent manufacturing, and various techniques of manufacturing will also be included. Various types of numerical examples will also be presented in each chapter and the descriptions will be done in lucid style with figures, point-wise descriptions, tables, pictures to facilitate easy understanding of the subject. |
CAUSAL Definition & Meaning - Merriam-Webster
The meaning of CAUSAL is expressing or indicating cause : causative. How to use causal in a sentence.
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CAUSAL | English meaning - Cambridge Dictionary
CAUSAL definition: 1. a relationship, link, etc. between two things in which one causes the other: 2. a relationship…. Learn more.
Causality - Wikipedia
Causality is an influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an effect) where the cause is at least …
CAUSAL Definition & Meaning | Dictionary.com
Causal definition: of, constituting, or implying a cause.. See examples of CAUSAL used in a sentence.
CAUSAL definition and meaning | Collins English Dictionary
If there is a causal relationship between two things, one thing is responsible for causing the other thing.
Causal - definition of causal by The Free Dictionary
1. Of, involving, or constituting a cause: a causal relationship between scarcity of goods and higher prices. 2. Indicative of or expressing a cause.
causal adjective - Definition, pictures, pronunciation and usage …
Definition of causal adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
causal - Wiktionary, the free dictionary
Jan 18, 2025 · causal (comparative more causal, superlative most causal) of, relating to, or being a cause of something; causing There is no causal relationship between eating carrots and …
causal, adj. & n. meanings, etymology and more | Oxford English …
What does the word causal mean? There are six meanings listed in OED's entry for the word causal. See ‘Meaning & use’ for definitions, usage, and quotation evidence. causal has …
CAUSAL Definition & Meaning - Merriam-Webster
The meaning of CAUSAL is expressing or indicating cause : causative. How to use causal in a sentence.
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CAUSAL | English meaning - Cambridge Dictionary
CAUSAL definition: 1. a relationship, link, etc. between two things in which one causes the other: 2. a relationship…. Learn more.
Causality - Wikipedia
Causality is an influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an effect) where the cause is at least …
CAUSAL Definition & Meaning | Dictionary.com
Causal definition: of, constituting, or implying a cause.. See examples of CAUSAL used in a sentence.
CAUSAL definition and meaning | Collins English Dictionary
If there is a causal relationship between two things, one thing is responsible for causing the other thing.
Causal - definition of causal by The Free Dictionary
1. Of, involving, or constituting a cause: a causal relationship between scarcity of goods and higher prices. 2. Indicative of or expressing a cause.
causal adjective - Definition, pictures, pronunciation and usage …
Definition of causal adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
causal - Wiktionary, the free dictionary
Jan 18, 2025 · causal (comparative more causal, superlative most causal) of, relating to, or being a cause of something; causing There is no causal relationship between eating carrots and …
causal, adj. & n. meanings, etymology and more | Oxford English …
What does the word causal mean? There are six meanings listed in OED's entry for the word causal. See ‘Meaning & use’ for definitions, usage, and quotation evidence. causal has …
