An adaptive system is a set of interacting or interdependent entities that form an integrated whole that are capable of responding to environmental changes or changes in interacting parts in a manner analogous to either continuous physiological homeostasis or evolutionary adaptation to biology. Feedback loops are a key feature of adaptive systems such as ecosystems and individual organisms; or in the human world, communities, organizations, and families.
Table of Contents
1. Introduction
2.0 Discussion
2.1 Approaches to Strategic Thinking
2.2 Complexity Perspective
2.3 Complex Adaptive Systems: Modelling Complexity
2.4 The Practice Perspective
3. Conclusion
Research Objectives and Themes
The primary objective of this work is to investigate how Complex Adaptive Systems (CAS) function within a corporate strategic management framework, specifically focusing on how organizations can adapt to environmental uncertainty through strategic thinking and practice-based approaches.
- Theoretical evolution of strategic thinking and management.
- Application of the "Strategy-as-Practice" lens to organizational actors.
- Modeling organizational complexity through Agent-Based Models.
- The relationship between environmental equilibrium and adaptive system responses.
- Practical integration of complexity theory into corporate decision-making.
Excerpt from the Book
Complex Adaptive Systems: Modelling Complexity
Mitleton- song (1998) defines the organizational complexity of such a connection among all people who have ideas and objects, as well as interpersonal relationships and the effects of / and between institutions (systems) in their environment. All adaptive systems (CAS) can be examined as part of the labor leader's skills, skills, showing a comprehensive framework of the administrative management, administration and management enabling developer (UHL, bien, Marcus & McKelvey, 2007).
In the sixties, Tom philosophy maps of imaginary form racially segregated countries, in order to understand "the systemic behavioral decisions in one single event that is unintended, unexpected and unwelcome" (Ramalingam, 2013). The agency are not predictive models, but they offer some question as to explore takes place in space (Casella, and at Tongeren Nikolic, 2015). In order to come up with a model provides useful as insights on identifying problems and then determine whether significant model starts reasons, rules, laws, actions, and developer information flow, according to the real world. Easier rules or institutions that are counterfeit, manage, and how they interact with each other and with agents in the environment (Ghorbani, 2013).
Summary of Chapters
Introduction: This chapter defines the fundamental concepts of adaptive systems and complex systems, establishing the need for strategic thinking in an environment characterized by uncertainty and rapid change.
2.0 Discussion: This section explores how strategic thinking has transitioned from top-down bureaucratic control toward a more inclusive, practice-based approach involving various organizational actors.
2.1 Approaches to Strategic Thinking: This chapter examines the evolution of strategy formulation, highlighting the shift toward incorporating human action and practice theory into the strategic process.
2.2 Complexity Perspective: This chapter analyzes how interactions within systems and their environments create complexity, emphasizing the necessity for systems to deviate from conventional methods when forced out of equilibrium.
2.3 Complex Adaptive Systems: Modelling Complexity: This chapter discusses frameworks for modeling organizational complexity, including the role of agent-based modeling in simulating human relations and sociological systems.
2.4 The Practice Perspective: This chapter explores how organizations apply complexity management theory in practice, using case studies and frameworks to guide strategic tools in a modern economy.
3. Conclusion: This chapter synthesizes the research findings, confirming that adaptive systems align with the ever-changing nature of the business environment and provide a basis for competitive advantage through evidence-based decision-making.
Keywords
Complex Adaptive Systems, Strategic Management, Strategy-as-Practice, Organizational Complexity, Agent-Based Modeling, Strategic Thinking, Environmental Uncertainty, System Equilibrium, Practice Theory, Decision-Making, Adaptation, Business Strategy, Socio-Technical Complexity.
Frequently Asked Questions
What is the core focus of this research?
The work investigates the integration of Complex Adaptive Systems (CAS) theory into a company's strategic management approach to better handle environmental uncertainty.
What are the central themes discussed in the paper?
Central themes include the transition from traditional strategic planning to practice-based strategy, the role of human agency in organizations, and the application of complexity science to business management.
What is the main objective of the study?
The primary goal is to provide a framework and tools—such as complexity modeling and new approaches to strategic thinking—to help organizations learn and adapt more effectively.
Which research methodologies are applied?
The paper utilizes a literature-based theoretical analysis combined with the application of agent-based modeling frameworks to simulate and understand complex organizational interactions.
What is addressed in the main body of the work?
The main body covers the theoretical history of strategy, the definition and modeling of complexity, the "Strategy-as-Practice" perspective, and practical examples of adaptive quality control systems.
How would you characterize this work using keywords?
Key terms include Complex Adaptive Systems, Strategic Management, Organizational Complexity, Strategy-as-Practice, and Agent-Based Modeling.
How does the author define a Complex Adaptive System (CAS)?
A CAS is defined as a set of interacting or interdependent entities that form an integrated whole, capable of responding to environmental changes through feedback loops.
Why is "Strategy-as-Practice" considered a modern alternative to traditional strategy?
It shifts the focus from bureaucratic top-down formulation to the actual actions, interactions, and negotiations of multiple actors within an organization.
What is the role of Agent-Based Modeling in this research?
It serves as a tool to simulate sociological systems and human relations, allowing stakeholders to identify complex problems and test potential strategic solutions.
What is the ultimate takeaway regarding corporate strategy?
The paper concludes that viewing a company as an adaptive system allows it to remain competitive by continuously reviewing and challenging its internal and external views.
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- Olawale Sanni (Autor:in), 2020, Adaptive Systems and Strategic Management Approach, München, GRIN Verlag, https://www.grin.com/document/963281
