Complex Adaptive Systems Management
Couch & Associates Pty Ltd has special strengths in the critical thinking
required for investigating, designing, implementing and controlling complex
dynamic systems in order to secure their greatest realisable benefits .
Combined with developed people skills, specialist knowledge of our
Associates and management capability, these strengths promote clear
understanding of clients' operations and environments and account for our
level of success in assignments.
This page:
Multiple
Perspectives of complex adaptive systems
The following list indicates the the wide span of
occurrence, and some of the different perspectives that can be considered in
analysing and synthesising complex adaptive systems - (Click
on list item):
- Typical features (in
contrast to simple systems): >
- Incorporating many agents, each have varying degrees of
autonomy, self interests and relationships;
- Interacting with a wide range of competing, adapting, influences and
constraints;
- Subject to adaptation and uncertainty, internally as well as
externally;
- Frequently not identifiable with precision; and
- Pursuing multiple conflicting objectives.
- Spanning a range of organisational
domains: >
- Social domain - including social, ecological, economic
interactions;
- Institutional domain - including structures such as
countries, races, governments, markets, alliances (both commercial and
non-commercial & including political), and "guiding
traditions" (religions and other movements);
- Organisational domain - including entities such as
companies, or associations;
- Business domain - including business systems and
processes, rights and obligations;
- Personal domain - including individual preferences and
behaviours;
- Object domain - including hardware and software facilities,
components and systems;
- Operating with different abstraction
levels: >
- Physical or component level - including the separate devices,
components and people that combine for particular purposes;
- Facilities level - including major assets, networks and
resources, the the services they perform;
- Information level - including tacit and explicit knowledge;
- "Non-objective" level - including for example some
aspects of personal relationships, human qualities, emotion and art;
- Life stages to be
managed: >
- Operations - covering all on-going, steady-state and
transitional activities required to function in current circumstances;
- Change - covering change innovation conceptualisation and
design, and projects planning, implementation, and controls;
- Transactions - covering contracts or other arrangements for
procuring and delivering resources, products and services, or other
outcomes;
- Ownership - covering, accountability mechanisms, governance,
risk and value management, capital structure.
- Benefits maximisation: >
- Alignment of multiple conflicting objectives;
- Satisfaction of specified requirements;
- Definition, recognition, creation and capture of value under
risk;
- Identification, analysis, and resolution of issues;
- Generation and evaluation of options;
- Implementable recommendations.
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List / Explode
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A Framework
for Thinking about Complex Adaptive Systems
A system can be considered as a set of interacting components (which
may themselves be sub-systems in a hierarchy) or elements (or agents) and
interacts (through those components or elements) with the environment (also a
system) in which it functions. This outline addresses briefly:
Complex adaptive systems
- System complexity describes the extent to which, there may be large
numbers and multiple categories of elements or agents, and
interactions, a high density of interactions, many hierarchical levels, and
high uncertainties.
- A system's adaptive property describes the extent to which, some or
all of the elements or agents may have partial "autonomy" in
the manner that they interact, and in their capacity to populate, enter and
and exit the system, and otherwise fit themselves to their
environment.
- The behaviour of the complex adaptive system is characterised by
the attributes of its agents and their interactions, such as:
- High levels of non-linearity in the functions describing their
attributes;
- High diversity in attributes; and
- Capacity for anticipating impacts (including benefits/dis-benefits)
in interactions, recognising patterns in complex interactions
and synthesising reactions to complex stimuli.
Complex adaptive system modelling contrasts with traditional engineering
based or static models, by attempting to reflect "real world"
behaviour and including people and their behaviours. Complex adaptive
systems can have capacity to:
- Organise themselves and their interactions with their environment; and
- Compete with other systems, and adapt to their
environment, the performance of their components and their interactions.
In contrast to social and ecological systems, however, human-made systems
need to be intentionally designed, and in order to survive in changing times,
need to exhibit similar capabilities.
In conceptualising complex adaptive system models one typically constructs rule
sets for the purpose of both:
- Simplifying the model to focus conveniently on its key features;
and
- Describing the components and interactions, and constraints on
them.
The describing rules may be strict or soft (i.e. generating rewards /
sanctions).
Where can complex adaptive system thinking
(CAST) assist managers?
CAST provides a multi-disciplinary framework for management.
Consideration of the characteristics of complex adaptive systems can assist
in (indeed arguably is essential for) understanding, then
managing, for example:
- Organisational functioning in terms of:
- Organisation structure design and performance measurement;
- Design of contracts, transactions between organisations - e.g.
in procurement, sales management, outsourcing;
- Design of interfaces within
an organisation;
- Investment management and competitive strategy;
- Planning and operation of logistical and other support services;
- Responsibilities accountability and governance;
- Values and culture;
- Assets and resources, including:
- Knowledge
management - deployment of knowledge resources
- Systems and procedures - design and implementation
- Facilities and asset management generally
- Institutional and organisational behaviours:
- International relationships and confrontation;
- Competition and behaviour of markets;
- Gaming, behaviour, tacit collusion and moral
hazards
- Communications and propaganda programs;
- Perverse / Opportunistic behaviour, including corruption,
hidden agendas;
- Emergencies management, and self-healing processes;
- Formation and performance of self-managing teams, associations;
- Political processes and public policy formation;
- Regulatory / legislative mechanisms and compliance programs;
- Social and ecological systems; and
- Other behaviours and operations
It is our observation that CAST is most frequently applied in a partial and
ad-hoc manner, often as a compliance obligation, rather than holistically for
value maximising. It is intended that discussion to be added to this site over
2003 will demonstrate this view.
What can happen when complex adaptive systems
behaviour is ignored in system design?
In all respects, sound planning, implementation, performance and control of
organised human activity and associated systems should always take account of
the characteristics inherent in complex adaptive systems. Failure to properly
design for these characteristics can only promote poor performance resulting
from such factors as:
- Organisation and inter-unit dysfunction,
- Unclear responsibilities, lack of accountability poor governance,
- Waste and duplication,
- Inefficient deployment of resources, assets & infrastructure,
- Information hoarding and manipulation,
- Deficient culture, leadership, teamwork and morale,
- Gaming & collusion,
- Perverse / Opportunistic behaviour, from hidden agendas through to
corruption,
- Destructive conflict in customer service, contract management and human
relations,
- Inadequate preparedness for risk events and emergencies, non- compliance
and loss of agility.
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