Analogy Based Methodology for Complex Adaptive Production Network Modelling

2005 ◽  
Vol 9 (4) ◽  
pp. 399-408 ◽  
Author(s):  
Béla Pátkai ◽  
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Simulation Models ◽  
Production Network ◽  
Production Networks ◽  
Network Modelling ◽  
Complex Adaptive ◽  
Problematic Issue ◽  
Way Of Thinking ◽  
And Control

The investigation (i.e. modelling, simulation, understanding and control) of complex adaptive systems is a problematic issue mainly due to the immaturity of systems scientific modelling paradigms. The apparent analogies between complex adaptive systems and production networks provide the opportunity to formulate the latter one in terms of the first, and to integrate the knowledge and the way of thinking of both fields. Through the application of the method of analogy and agent-based modelling and the development of a methodology a disciplined way of thinking is presented that involves the formulation of natural scientific concepts in terms of simulation models.

Emergent States in Virtual Teams: A Complex Adaptive Systems Perspective

2006 ◽  
Vol 21 (4) ◽  
pp. 249-261 ◽  
Author(s):  
Petru Lucian Curşeu
Keyword(s):  
Virtual Teams ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Simulation Models ◽  
Global Dynamics ◽  
Team Cognition ◽  
Systems Perspective ◽  
Emergent States ◽  
Complex Adaptive ◽  
Simulation Results

Research on virtual teams (VTs) has proliferated in the last decades. However, few clear and consistent theoretical attempts to integrate the literature on VTs in a systemic way have emerged. This paper uses the complex adaptive systems (CAS) perspective to integrate the literature on emergent states in VTs. According to this general framework, VT effectiveness depends on the interaction between three levels of dynamics: local, global and contextual. Team cognition, trust, cohesion and conflict are described as states that emerge from the interactions among the VT members and as parts of global dynamics, they impact on VT effectiveness, and in the same time they are influenced by the outcomes of the VT. The insights on this bidirectional causality as well as other benefits of using the CAS framework to improve our understanding of VTs are discussed in the paper. It also provides an overview of artificial simulation models as well as simulation results concerning the emergence of the four states described in the CAS framework and discusses several ways to improve the accuracy of the simulation models using empirical data collected in real VTs.

Complex Adaptive Systems Theory and Military Transformation

2008 ◽  
pp. 278-305 ◽  
Author(s):  
Kimberly Holloman
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Large Scale ◽  
The United States ◽  
Security Challenges ◽  
Military Transformation ◽  
Complex Adaptive ◽  
And Control ◽  
Agent Structure ◽  
Broad Program

The United States and many of its coalition partners have initiated a broad program of reform aimed at transforming their defensive capabilities to take advantage of recent advances in technologies and to meet emerging security challenges. Progress to date, however, has been mixed in terms of the ability of the DoD redefine itself as an information age organization and in terms of the DoD’s capacity to deliver transformational capabilities to war fighters. This chapter examines questions regarding our ability to guide, direct and control large scale organizational change. I suggest that transformational efforts can be viewed through the lens of the agent-structure, which posits that that social change is the outcome of a complex dialectic between human agents and social structures. I argue that our understanding of this dialectic may be significantly enhanced if we examine the theoretical and empirical insights gained from the study of complex adaptive systems (CAS).

Reconsidering policy systems

2020 ◽  
pp. 11-32
Author(s):  
Kate Crowley ◽  
Jenny Stewart ◽  
Adrian Kay ◽  
Brian W. Head
Keyword(s):  
Systems Thinking ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Unintended Consequences ◽  
Policy Sciences ◽  
Complex Interactions ◽  
Complex Adaptive ◽  
Policy Systems ◽  
And Control ◽  
Policy Problems

Systems thinking has been neglected in the policy sciences, to the detriment of both broad understandings of the role of policy, and of policy-making capacity. This chapter remedies this deficiency by tracing the trajectory of systems thinking in the policy sciences, introducing and explaining themes from complexity science in policy-relevant terms, and concluding with practical examples of applications of systems thinking to real-world policy problems. To illustrate: complex adaptive systems are discussed in the context of regulation and control. Two general claims are made for this approach: firstly, systems thinking is likely to be particularly productive where policy problems defy conventional solutions and unintended consequences are rife. In these situations, systems thinking has the ability to move beyond the specifics of each problem to identify and depict underlying complexity; secondly, in the governance era, sites of policy-relevant action are more likely than in the past to lie outside the formal boundaries of government, and to require complex interactions among stakeholders.

Competitive Success of Italian Industrial Districts: A Network-based Approach

2017 ◽  
Vol 30 (1) ◽  
pp. 78-104 ◽  
Author(s):  
Nunzia Carbonara
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Environmental Changes ◽  
Structural Features ◽  
Industrial Districts ◽  
Complex Adaptive ◽  
Competitive Success ◽  
Multiple Case ◽  
And Control

The article conducts an explorative research on the competitive success of industrial districts (IDs) based on their capacity to adapt and evolve in response to the environmental changes. The aim is to identify the ID structural features supporting adaptation by using the complexity theory. Thus, IDs are considered as complex adaptive systems (CASs) and the ID features that foster adaptation are identified based on the main CAS properties, namely inter-connectivity, heterogeneity and control. To formulate the theory linking the values of the ID structural features with the ID competitive success, a multiple case study is carried out. Finally, three theoretical propositions are derived. JEL: P13, P17, P48, R10

scholarly journals On Metaeconomic Consensus in Global Management

2016 ◽  
Vol 1 (1) ◽  
pp. 15 ◽  
Author(s):  
Antanas Buracas
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Social Preferences ◽  
Dynamic Equilibrium ◽  
Management Practice ◽  
Conceptual System ◽  
Economic Modelling ◽  
Network Modelling ◽  
Global Management ◽  
Complex Adaptive

<p class="Default"><em>The paper review the metaeconomic approaches in global management (MGM) which include</em><em> </em><em>social criteria </em><em>and tasks arranged into consecutive conceptual system with account of changing normative (or minimax) functions and multicriteria approach</em><em> </em><em>detailing admitted hierarchies of those preferences.</em><em> </em><em>The systemic taxonomy of the MGM and its structurization are reviewed and conceptualized. The ranking of priorities in the multipurpose economic modelling of social preferences presupposes the weighed comparability of criteria functions on the qualitatively different levels</em><em>-</em><em>determining the alternatives of optimization, also multicriteria dynamic equilibrium and the preferable managerial strategies.</em><em> </em><em>The stochastic network modelling of universal sustainability for country’s economic development, disposable resources’ allocation a/o characteristics of complex adaptive systems can be recommended as a productive approach to intellectual management practice. The development of MGM would be more effective with more wide integration of multicriteria approaches, also more sophisticated statistical evaluations of intellectual potential in competitive management.</em><em> </em><em>The analytical review of the MGM</em><em> </em><em>revealed its significance at the stages of formulating the aim hierarchies, or choosing the optimization criteria, the restrictions</em><em> </em><em>on preferences and taxonomy of sustainable development.</em></p>

Sign in / Sign up

Export Citation Format

Share Document