The Decision- Making Process in a Complex Situation (Bennet) Flashcards

1
Q

Knowledge

A

The capacity (potential and actual) to take effective action.

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2
Q

Situation

A

An issue, problem, condition, opportunity or bounded system that the decision maker believes needs to be changed, improved, transformed.

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3
Q

Complicated systems are not dynamic (the connections between the parts are fixed)

A

Hence, complicated systems do have a solution (systems).

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4
Q

Complex situations (problem) is difficult to define and may significantly change in response to some solution

A

Complex situations may not have a single “right” answers; has many interrelated causative forces; has no (or few) precedents; has many stakeholders and is often surprise prone.

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5
Q

Complex situations are referred to as “messes”

A

These problems are dynamic, they consist of complex systems of CHANGING problems that interact with one another.

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6
Q

So, in the case of (hazardous) child labour, there are complex systems of which have changing problems, of which interact with one another, such as ….

A

Child labour in mining persists because mining work is closely associated with economic and social disruption:
- The Economy of Congo
- The Mining Companies who own Cobalt Mines
- The poverty & low living standards in Congo (what’s causing the poverty? Low wages, no affordable education etc.,)
- Social disruption (such as civil wars break out which cut off normal commerce)
- The Increasing Market Demand for EVs, hence the rapidly growing demand for Cobalt & Lithium-Ion Batteries ( although Tesla is going to use NL, which does not use cobalt, & Apple plans to use only recycled batteries in its products by 2025)
- The poor regulations & governance of the Cobalt mining industry, resultant of external factors such as COVID-19, eliminating formalisation of female workers in cobalt mining, allowing children to continue working in the mines, workers have no PPE.
- The electronic industry (i.e. Foxconn & Apple), there is a need to keep long-term suppliers, they have the know-how to manufacture & assemble the products, such cases require auditing, yet firms at the same time want to meet the demand. Hence, there is a supply & demand side to forced labour.

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7
Q

It should be clear that messes produce conditions where one knows a problem exists but it is not clear what the problem is

A

Hence, of the above complex systems, any one could be the problem - hard to say which it is.

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8
Q

In a complex landscape, the problem or situation requires a decision that will most likely be unique & unprecedented..

A

Difficult to define or bound, & have no clear set of alternatives.

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9
Q

Tools set for decision making for complex problems or issues

A
  • experience,
  • education
  • relationship networks
  • knowledge of past successes & historic individual preferences
  • frames of reference,
  • cognitive insights
  • wellness (mental, emotional, & physical) .
  • knowledge of related external & internal environmental pressures
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10
Q

Decision support processes

A
  • analytical hierarchy process
  • systems dynamic modeling
  • scenario development
  • IT systems (includes situation & decision characteristics, outcome scenarios, a potential solution set, resources, goals, limits, & a knowledge of political, sociological, & economic ramifications).
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11
Q

(1) Emergence

A

Emergent property of a complex system, exert a strong influence within the system, these are:
- culture
- trust
- attitudes
- organisational identity
- team spirit

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12
Q

(2) Butterfly effect

A
  • a small change in one part of the situation, which may initially go unrecognised in the environment - can, in certain circumstances, result in massive turbulence, disruption, surprise. The sudden change in the environment can be extremely hard to predict.
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13
Q

^ Butterfly effect if Glencore were to stop its cobalt mining activities

A
  • immediate detrimental effect on the local communities - losing their livelihoods.
    But a positive would be less heavy metal pollution & toxic waste disposal, improving the environment & health of community members.
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14
Q

(3) A Tipping Point

A

A complex system changes slowly until all of a sudden it unpredictably hits a threshold which creates a large-scale change throughout the system.
* tipping points are typically unpredictable & can significantly change decision outcomes. Ideas - that spread like wildfire - take on a life of their own. (Slow market growth in niche market, then BOOM, takes off & company becomes a success)

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15
Q

(4) Feedback loops

A

Feedback loops can either be self-reinforcing or damping, improving a situation or making it worse. *may be hard to identify initial cause-and-effect - as there typically are a large number of symptoms, causes, & reactions.

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16
Q

Example of feedback loop

A
  • excitement surge due to a successful event
  • low morale due to over-controlling management ( low morale then again controlled by having management increase control)
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17
Q

Power laws

A

A mathematical measure that brings together two parameters (measures) within some complex system.

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18
Q

Trying to make sense of a complex problem

A

Understand the factors/ issues surrounding the situation:
- geographic
- topological
- financial
- economic
- political
- social / socioeconomic

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19
Q

Determine the key relationships within the system

A
  • observe
  • study
  • reflect
  • experiment
  • use intuition
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20
Q

LOOK for the structural sources of multiple actions, interactions, events, & patterns.

A
  • who influences what
  • how work should really get done
  • talk to people in the system
21
Q
  • get a feel for the system - figure out if assumptions are correct, hence its important to identify..
A

Emergent properties (characteristics resulting from interactions within the system & can rarely be reduced to single sources)

22
Q

Example: production lines, products, etc.

A

Need for cohesion, correlation, & correspondence

23
Q

In complex systems, the cause-and-effect paths are too numerous, nonlinear, & have too many connections, hence it’s not possible to trace these cause-and-effect paths.

A

Complex systems unfold & evolve through multiples interactions & feedback loops; there is no small number of causes behind their movement.

24
Q

EFFORTFUL practice builds skill - practicing & playing with patterns over and over again, looking a nuances, trying small changes. Those who perform effortful practice have a store of structured knowledge, which is…

A
  • they use long-term working memory,
  • pattern recognition
  • and chunking rather than logic as analysis.
    *leads to intuitive understanding, insight & judgement relative to the domain of interest.
25
Q

HUMAN additive factors:

A
  • use group decision making as it helps bring multiple perspectives, create dialogue & inquiry, & improve overall understanding of a complex situation, which can then improve decision efficacy.
26
Q

Techniques for group discussion

A
  • fishbones,
  • probability distribution
  • mind mapping
  • linear extrapolation
  • dialogue
    *but information saturation problem exists.
27
Q

So, ignore those aspects of the situation that are not directly related to the decision-maker’s goals or objectives.

A
  • understand the values of the organisation
  • & the complex situation
  • the global vision & purpose of the organisation
  • & their own local objectives.
    & HAVE AN understanding of the present vs future applicability of various events, actions, opportunities & threats in both the environment & the situation (e.g., Elon Musk using LFP batteries)
28
Q

Ultimately, learn to SIMPLIFY & FILTER the things not relevant & focus on those that are.

A
  • networks & teams can help us gain a broader perspective (not be siloed in our own thoughts/ thinking) and help clarify confusion, paradoxes & uncertainties than what could be done individually.
29
Q

PREPARING for the decision process

A
  • Journey
  • desired future state
30
Q

Journey refers to the organisation…

A

Having the capacity & internal support mechanisms needed to implement the decision strategy.

31
Q

Managing risk & using a systems perspective, & network management, & critical thinking , & information literacy

A

Bureaucratic models of operating are not helpful for complex situations because there is no single cause of the problems & no single point of correction. (Complex systems have “in-build unpredictability”).

32
Q

Cane toad: the change works for some short time and then the complex system (organisation) rejects it & the problem returns, larger than before. (system dynamic modelling ; J.W. Forester)

A

Organisations have emergent properties such as culture

33
Q

Key point: you can’t solve a complex problem by eliminating the so called “cause” of it.

A
  • the complex system has an equilibrium - this balance is disrupted - there are multiple actions, carefully selected & orchestrated to readjust the system to an expected state.
34
Q

Key point: prepare for rapid changes, those decisions will have unintended consequences , which may follow power law. The power law indicates that there is some relationship between the events (cane toad).

A

Gaussian distribution;
- tails on the end of the power distribution may be considerably stronger, sometimes by a factor of 100.
- Bell curve indicates, in existence, the independence of events.

35
Q

Key point: complex systems have multiple interrelationships, & therefore, follow some power law. A complex system has many interdependencies.

A
  • so organisations need to adapt a culture that can respond to events and changes quickly - an ability to quickly react should be deliberately infused into the culture.
  • supported by managers & leaders, & self-organisation , open communication & flexibility (take new risks, use the best from the past), robustness & resilience
  • organisational adaptability (capacity to significantly change its internal structure as needed to resolve an external complex situation) - small- to medium, to large-scale flexible change. (Mutually beneficial co-evolution of the organisation and complex situation).
36
Q

Key point: the change is tied to implementation and the organisation and complex situation cannot be separated.

A

“ new learning” helps rethink the perspectives of reality, and in areas where the environment is complex.
- costs can be identified & watched but the payoff is fuzzy - not easy for organisations to create an organisation with all the above capacities.

37
Q

MECHANISM for influencing complex situations

A
  • Theories: a generalised statement about reality that describes how things relate to each other in a given domain of inquiry.
  • a frame of reference serve as a tool to observe & interpret the system from several perspectives (THIS IS what the teacher expects from us in the assignment!)
38
Q

Key point: apply multiple perspectives of frames of reference in your assignment. These concepts are…

A
  • tipping point (experts say EVs are close to a tipping point!) https://www.forbes.com/sites/jimhenry/2023/09/26/ev-appeal-growing-as-risk-and-novelty-fade/?sh=22dfbc6a6ba6#:~:text=A%20total%20of%2023%20countries,incentives%20are%20a%20big%20enabler.
  • butterfly effect https://www.linkedin.com/pulse/butterfly-effect-how-software-scandal-changed-future-nerurkar
    https://www.engineerlive.com/content/butterfly-effect
  • emergence
  • feedback loops
  • power laws
  • nonlinearity
39
Q

Key point: interpretation of the future of a complex situation will involve some learning & some “living experience” for the decision-maker. Moreover, we begin this evaluation with…

A
  • the ontology of the decision process, which represents the schema or set of characteristics surrounding the decisions strategy that would have an important influence on the desired outcome. (E.g. ICAS organisational model - the ontology would consist of the 8 emergent characteristics of the ICAS model).
40
Q

Structural adaptation (so use coupling to pull the problem situation along in the desired direction - the destination cannot be predicted however, because complex systems are nonlinear).

A
  • Note: the organization may be part of the
    problem and any successful solution would include changes both inside the problem
    as well as in the surrounding organization.
    organization.
  • In a sense, we have two coupled complex systems that are connected such that any change in one will change the
    other.
41
Q

Boundary management
(for example, the buyer may change the boundary conditions (purchase price, delivery schedule, quantity, etc.) to press the vendor to improve quality, forcing the problem into the vendor’s system)

A

Boundary management is a technique for influencing complex situations by
controlling/influencing their boundary.
- Changing
the information, funding, people, material, or knowledge that goes into or out of
a complex situation will impact its internal operation and behavior

42
Q

Absorption

A

Absorption is the act of bringing the complex situation into a larger complex system and letting the two slowly intermix, thereby resolving the original problem by dissolving the problem system.

43
Q

Optimum complexity
(By building more complexity into the decision plan – finding more alternatives for action, pivot points, feedback networks, etc. – you are better able
to deal with the unpredictable responses from the complex situation).

A

cybernetics
- more of a rule than a law, but is very useful when dealing with complex problems - it means that your decision plan must have more options available than the complex situation you are
dealing with.

44
Q

Simplification

A

Simplification reduces our own uncertainty, makes decisions easier, and allows
easy, logical explanations of those decisions.
- BUT COMPLEX problems are nonlinear in consequences, hence it is DANGEROUS, or even disastrous to simplify.
- It’s necessary to look at the whole system.

45
Q

Amplification

A
  • This is
    a trial & error - testing
    approach where the situation is observed, then perturbed, and the response studied. This begins a learning process that helps the decision-maker better
    understand the problem
  • Closely coupled to the sense and respond approach is that of amplification,
    used where the problem is very complex and the situation’s response is unknown.
46
Q

Seeding (design a set of actions to guide the situation to our intended outcome)

A

-emergence
multiple nonlinear interactions among agents of the system (people), it is
rarely possible to design a set of actions that will result in the desired solution.
- Emergence is not
random -its an interaction of a variety of elements -even if we can’t predict the exact emergent property, we may be able to create something (e.g., specific culture) that is acceptable, or perhaps better than the one we believe we needed.

47
Q

Key point for dealing with complex systems,…

A

In other words, sense and respond, trial and error, and amplification
used both as part of a decision strategy and as learning tools – coupled with a knowledge of complex systems, the use of teams, and the deliberate development
of intuition – suggest a valuable approach to dealing with complex systems

48
Q

THE CHALLENGE of making decisions for complex problems is that there may be no predictable end goal & no direct causal connection that works. But we have a toolkit at our disposal to help us construct a decision strategy & design a sequence of decisions & actions that lead toward an acceptable solution.

A
  • So when justifying why hazardous child labour is a complex ethical problem, indicate that there is no single solution. It’s hard to identify the causal links between each issue. You may have intuition & insights, but you’ve got to show that we have to set up some initial sequences of action & evaluate the problem according to:
  • boundary management
  • key success factor influence
  • identification of sources, sinks & regenerative loops.
  • tipping points
  • butterfly effects
  • stability patterns
  • emergency flows
  • & miscellaneous perturbations.
    the complexity of the problem still prohibits predicting their paths*
49
Q

Rational decisions cannot account for the complexity of the problem, & therefore fail. But some have turned out to be right, not because they were logically right, but because of the complexity of the problem.

A

Hard to figure out if we can separate aspects of the system & complex situation. Took many unknowns i guess.