Managing Complex Tasks with Systems Thinking (Understanding Complex Systems)

✍ Scribed by Hassan Qudrat-Ullah (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 479
• Category: Library

✦ Synopsis

This book is about improving human decision making and performance in complex tasks. Utilizing systems thinking approach, this book presents innovative and insightful solutions to various managerial issues in various domains including agriculture, education, climate change, digital transformation, health care, supply chains, and sustainability. Practical insights and operational causal models are systematically presented. The key features of the didactic approach of this book are core knowledge, numerous tables and figures throughout the text, system archetypes, and causal loop models.

This book serves as a text for college and university courses on Systems Thinking for Management Decision Making in Complex Tasks. Researchers use the developed “causal models” to design and evaluate various decision-aiding technologies. It is used as a source of practical information for a broad community of decision-makers, researchers, and practitioners concerned with the issue of improving human performance in complex organizational tasks.

✦ Table of Contents

Preface
Overview
Contents
Part I Introduction to Systems Thinking and Its Applications
1 Introduction: Managing Complex Tasks with Systems Thinking
1.1 Introduction
1.2 Methodology
1.3 Research Categories
1.4 Unique Theoretical and Methodological Perspectives
1.4.1 Achieving Reliability Assurance of Subsea Oil and Gas Production Systems
1.4.2 Designing Effective Strategies for Scientific Vocations
1.4.3 On the Fusion of Economics and System Dynamics
1.4.4 Connecting the World Networks and the World of System Dynamics
1.5 Innovative Applications of Systems Thinking
1.5.1 Part III: Applications of Systems Thinking in Education
1.5.2 Part IV: Bridging the Digital Gap with Systems Thinking
1.5.3 Part V: Addressing Agricultural Issues with Systems Thinking
1.5.4 Part VI: Sustainability Science and Systems Thinking
1.5.5 Part VII: Dealing with the Complexity of Healthcare Systems
1.6 Part VIII: Finally and a Way Forward
1.7 Concluding Remarks
References
Part II Theoretical and Methodological Advancements
2 A Systems Engineering Framework for Reliability Assurance of Subsea Oil and Gas Production Systems
2.1 Introduction
2.2 System Thinking in SE
2.3 System Architecture
2.4 Phase-Gated-Incremental Commitment
2.5 Fitness-For-Service
2.6 State of Practice
2.7 Systems Engineering V-Model
2.8 Primary Loops of Development Process
2.9 Requirement Analysis
2.10 Concept of Operations (ConOps)
2.11 Baselining
2.12 Requirements Traceability
2.13 Reliability Assessment for Assurance
2.14 Technology Readiness Level
2.15 Verification and Validation
2.16 Provision of Evidence
2.17 Acceptance Testing
2.18 Insights and Implications for Practice
References
3 Improving the Strategy for Scientific Vocations in Colombia Through Participatory Modeling Based on System Dynamics
3.1 Introduction
3.2 Background
3.3 Applying Systems Thinking to Improve Complex Decision Making
3.4 Method
3.5 Results: Enhancing Scientific Vocations in Colombia Through PM-SD
3.6 Conceptual Model Validation
3.7 Discussion
3.8 Conclusion
3.9 Insights and Implications for Practice
References
4 Bringing Behavioral Economics into System Dynamics: Some Challenges, Solutions, and a Path Forward
4.1 Introduction
4.2 The Primary Challenge
4.3 A Common Area of Confusion
4.4 Replication of Results
4.5 Questions
4.6 Replicating Difference Equation Models
4.6.1 Samuelson’s Multiplier-accelerator Model
4.6.2 Cobweb Model
4.7 Converting Difference Equation Models into Their Equivalent Continuous Time Counterpart
4.8 Replicating Discrete Time Molecules from Behavioral Economics
4.9 Converting Discrete Time Molecules into Their Continuous Time Counterparts
4.10 Summary and a Path Forward
Appendix
References
5 From Value Networks to Causal Loop Diagrams: Strategic Preparation for Designing Systemic Interventions in Organizations
5.1 Introduction
5.1.1 Some Characteristics of a Value Network
5.1.2 Some Examples of Resource Flow Attributes and Values
5.1.3 Value Generation in a Value Network
5.2 Value Network Analysis
5.2.1 Value Network Structural Characteristics
5.3 Problem Definition in a Value Network
5.4 Network Level Interventions
5.5 Revealing the Magician Trick
5.6 A Small Illustrative Example
5.6.1 The Network Itself
5.6.2 The Map's Narrative
5.6.3 How to Visually Translate This Small Narrative?
5.6.4 Dynamic Hypothesis of the Narrative
5.7 Discussion
5.7.1 Relationship Between the Example's Dynamic Hypothesis and Reference Mode
5.7.2 Sensemaking, Problem Definition, Decision Making and Systemic Interventions
5.8 Conclusion
References
Part III Applications of Systems Thinking in Education
6 Learning Analytics and Interactive Multimedia Experience in Enhancing Student Learning Experience: A Systemic Approach
6.1 Introduction
6.1.1 What Do Learning Analytics (LA) and Interactive Multimedia Experience (IME) Mean?
6.1.2 How Are LA and IME Related?
6.2 Methodology
6.3 Development of a Dynamic Hypothesis Formed by Feedback Loops that Explains How the Learning Experience Relates to the User Experience and the Teacher’s Enthusiasm
6.4 Building the Reference Model
6.5 The Conceptual Model
6.6 Involvement of Researchers and Teachers in Identifying the Reference Modes, Variables, and Feedback Loops that Connect the Learning Experience with the User Experience
6.7 Conceptual Model Validation
6.8 Discussion
6.9 Conclusion
6.10 Insights and Implications for Practice
References
7 Fostering Problem-Solving Skills and Creativity in Latin America Primary Schools Through System Dynamics
7.1 Introduction
7.2 Overview of System Thinking and Its Applications in System Dynamics in Education
7.3 The Role of Collaboration in Promoting Problem Solving and Education in Latin America
7.4 Strategies for Fostering Creative Environments in Education in Latin America Using System Thinking
7.5 Method
7.6 Dynamic Hypothesis
7.7 Conceptual Model Validation
7.8 Discussion
7.9 Conclusion
7.10 Insights and Implications for Practice
References
8 Exploring Gender Inequality and Practical Solutions for an Equitable Environment for Women in Scientific Vocations
8.1 Introduction
8.2 Definition of Gender Inequality in Scientific Vocations
8.3 What Are the Obstacles that Women Face in Scientific Vocations?
8.4 System Thinking and Gender Inequality
8.5 Method
8.6 Results
8.7 Conceptual Model Validation
8.8 Discussion
8.9 Conclusion
8.9.1 Insights and Implications for Practice
References
Part IV Bridging the Digital Gap with Systems Thinking
9 Leveraging AI Tools for Enhanced Digital Literacy, Access to Information, and Personalized Learning
9.1 Introduction
9.2 Enhancing Digital Literacy Through AI Tools
9.3 Promoting Access to Information and Resources
9.4 Method
9.5 Dynamic Hypothesis
9.5.1 Systemic Study of the Use of AI in Engineering Education
9.6 Challenges and Limitations
9.7 Conceptual Model Validation
9.8 Discussion
9.9 Conclusion
9.10 Insights and Implications for Practice
References
10 Navigating the IT Professional Shortage with System Thinking: Practical Insights for Better Decision Making
10.1 Introduction
10.2 Method
10.3 Results
10.4 Conceptual Model Validation
10.5 Discussion
10.6 Conclusion
10.6.1 Insights and Implications for Practice
References
Part V Addressing Agricultural Issues with Systems Thinking
11 Leveraging IoT and System Dynamics for Effective Cooperation in Solving Social Dilemmas in Water Management
11.1 Introduction
11.2 Literature Review
11.2.1 Agent-Based Models for Water Management
11.2.2 Game-Theory for Water Management
11.3 System Dynamics and Internet of Things Technologies in Sugar Cane Crops
11.4 Method
11.5 Results
11.6 Conceptual Model Validation
11.7 Discussion
11.8 Conclusions
References
12 Exploring the Systemic Causes of Land Inequality with Systems Thinking
12.1 Introduction
12.2 Importance of the Study from Systems Thinking Perspective
12.3 Definition of Land Inequality
12.3.1 Importance of Exploring Systemic Causes of Land Inequality
12.3.2 Archetype of Inequity
12.3.3 Laws and Regulations
12.4 Method
12.5 Applying System Thinking Towards Bridging Gaps
12.5.1 Developing Policies and Laws that Promote Land Reform
12.6 Conceptual Model Validation
12.7 Discussion
12.8 Conclusion
12.8.1 Insights and Implications for Practice
References
13 Biosecurity Adherence Using Cooperation Mechanisms: Leveraging System Thinking for Effective Strategic Organizational Biosecurity Decision Making
13.1 Introduction
13.2 History of Biosecurity Adherence
13.3 Social Dilemmas and Cooperation
13.4 Biosafety and System Dynamics
13.5 Research Questions
13.6 Conceptual Model
13.7 On the Modeling of Biosecure Behavior Based on Cooperation
13.7.1 The Size of the Group
13.7.2 The Level of Information Sharing
13.7.3 The Presence of Punishment Mechanisms
13.7.4 Conclusion About the Proposed Biosafety Adherence Model
13.8 Conceptual Model Validation
13.9 Discussion
13.10 Conclusion
13.10.1 Insights and Implications for Practice
References
Part VI Sustainability Science and Systems Thinking
14 The Sustainable Management of Plastic Contents Recycling in Bangladesh: A System Dynamics Approach
14.1 Introduction
14.2 Literature Review
14.2.1 Negative Impacts of Plastic Particles on the Environment
14.2.2 World Scenario of Plastic Particle Recycling
14.3 Research Gap
14.4 Methodology
14.4.1 Structural Validity
14.4.2 Causal Loop Diagram, Modeling and Discussion
14.4.3 Summary Causal Loop Interactions
14.5 Plastic Recycling Impacts, Measurement and Possibilities
14.5.1 Possible Measures Against the Negative Impact of Plastic Particles
14.5.2 Waste Management Possibilities
14.5.3 Possible Ideas to Collect Plastic and Its Substances
14.5.4 Ways of Collecting Plastic Waste Using Circular Economy and Reverse Logistics
14.5.5 Possible Initiatives for Bangladesh in Plastic Wastage Recycling
14.5.6 Suggestive Ways Toward Sustainable Plastic Recycling
14.6 Theoretical and Managerial Implications
14.7 Conclusion
References
15 The Potential Impact of ESG Spending on Public Perception of the Canadian Oil Sands
15.1 Introduction
15.2 Literature Review
15.2.1 Oil Sands
15.2.2 Environmental, Social and Governance
15.2.3 Public Perception
15.2.4 System Dynamics
15.3 Methodology
15.3.1 Model Description
15.4 Model Validation
15.5 Results
15.6 Discussion
15.7 Conclusions
15.7.1 Limitations and Future Work
15.7.2 Insights and Implications for Practice
Appendix
References
Part VII Dealing with the Complexity of Healthcare Systems
16 Understanding the Dynamics of the Logistics of N95 Mask with Systems Thinking
16.1 Introduction
16.2 Theoretical Review
16.3 The Development of the Conceptual Model
16.4 Formulation and Specification of the Simulation Model
16.4.1 Estimation of the Simulation Model
16.5 Validation and Testing of the Simulation Model
16.6 Results
16.6.1 Pandemic Multiplier Activation Scenario
16.6.2 Surge Capacity Scenario
16.6.3 Surge Capacity and Increased Availability of Raw Materials Scenario
16.6.4 Increased Shipping Capacity Scenario
16.6.5 Emergency Stock Scenario
16.6.6 Mass Production of N95 Masks Scenario
16.7 Policy Recommendations and Conclusions
References
17 Improving Healthcare Policy Decisions with Systems Thinking
17.1 Introduction
17.2 Decision-Making and Learning with SIADH-ILE
17.2.1 Context
17.2.2 Simulation Model for SIADH-ILE
17.3 Learning Objective of SIADH-ILE
17.4 User Interface of SIADH-ILE
17.5 Methods
17.5.1 Sample and Setting Descriptions
17.5.2 Participants
17.5.3 Protocols
17.6 Results
17.6.1 Perceived Utility of Scenario-Based SIADH-ILE
17.7 Conclusion
References
18 Understanding the Dynamics of Endangered Species with System Dynamics Approach
18.1 Introduction
18.2 Theoretical Review
18.2.1 Concepts, Definitions, and Background Literature About Endangered Species
18.2.2 Endangered Species Laws
18.3 Dynamic Hypothesis About the Dynamics of Endangered Species
18.4 Results Based on Our Simulation Model
18.4.1 Assumptions of Our Simulation Model
18.4.2 Validation and Testing of the Simulation Model
18.4.3 Analysis Using Model
18.5 Discussion, Implication, and Conclusions
References
19 Understanding the Dynamics of the HIV/AIDS Epidemic in China with System Dynamics
19.1 Introduction
19.2 A Brief Overview of the Relevant Literature
19.2.1 Relevant Concepts and Definitions
19.2.2 Time Horizon
19.2.3 Background Concepts
19.2.4 Endogenous Factors
19.2.5 Exogenous Factors and Limitations of the Model
19.3 Causal Mapping of the Conceptual Model
19.3.1 Causal Loop Diagrams of Various Processes of HIV/AIDS
19.4 The Overall Causal Loop Diagram: The Dynamic Hypothesis
19.4.1 Boundary Identification of the Model
19.5 Base Model of HIV
19.6 Technology Innovation on HIV Testing Ability
19.7 HIV Infection Model with Treatment Population
19.8 The Limitations of Our Model
19.9 Conclusion
References
Part VIII Finally
20 Conclusion and a Way Forward for Managing Complex Tasks
20.1 Introduction-Finally!
20.2 A Way Forward
20.3 Future Research Directions
20.3.1 Theoretical and Methodological Advancements
20.3.2 Learning Analytics and Interactive Multimedia with Systems Thinking
20.3.3 Bridging the Digital Gap with Systems Thinking
20.3.4 Addressing Agricultural Issues with Systems Thinking
20.3.5 Sustainability Science and Systems Thinking
20.3.6 Dealing with the Complexity of Healthcare Systems
20.4 Concluding Remarks
Index