Sustainable Intervention Methods (MAN-BCU347)
Week 1 lecture 1 Introduction
This course exists because there are severe challenges towards sustainability
1. The call for interventions. An intervention is a process or an act by which
change is introduced into a certain (ongoing) situation.
2. The importance of stakeholder’s participation. The world has become
increasingly interconnected. Most of the problems encompass numerous
people, groups and organizations.
3. Using strategic approaches to deal with the sustainability challenges. A
coordinated and systematic process for developing a plan to optimize
endeavours to reach certain goals in the future. This systematic process
required different techniques and methods.
Every concept has a history, including sustainability. In 1983, the World
Commission on Environment and Development was initiated as a sub-
organization of the UN; the Brundtland Commission. In 1987, the commission
released a report called Our Common Future (a.k.a. the Brundtland Report).
Report mainstreamed sustainability in policy discussions and offered a definition
of sustainable development, which is still with us today: "meets the needs of the
present without compromising the ability of future generations to meet their own
needs".
Climate change threatens sustainability by disrupting ecosystems, economies,
and
communities. Different discourses about climate change inform different
meanings and courses of action (i.e. “intervention”).
From the book Cradle to Cradle:
“Blindly adopting superficial environmental approaches without fully
understanding their effects can be no better and perhaps even worse—than
doing nothing” (p.59).
“To be less bad is to accept things as they are, to believe that poorly designed,
dishonourable, destructive systems are the best humans can do. This is the
ultimate failure of the ’be less bad’ approach: a failure of the imagination” (p. 67).
The goal of system analysis is to identify and name the system so we can reduce
the gap between the desired and actual state in the short and long term and for
direct and indirect effects. We are estimating the effect by drawing up scenarios
and models, including their ‘reasoning’. It includes clear indicators/criteria (based
on preferences or wishes of involved stakeholders) about the change of the
system as a whole.
First, define the system in which the supposed problem occurs. You must
formulate or determine the “system” and “system boundary” yourself as part of
your analysis.
, Findeisen and Quade (1985)
This document, titled "The Methodology of Systems Analysis: An Introduction and
Overview," explores the systematic approach used to help decision-makers
discover and implement the most advantageous courses of action for complex
problems. It emphasizes that systems analysis is not just about finding a solution,
but also about providing factual arguments to win acceptance and aid in the
implementation of that solution.
The sources define several fundamental elements used throughout a systems
analysis:
Objectives: These are the goals the decision-maker desires to achieve. A
goal is often broad and qualitative, while a target is a concrete,
quantitative objective specified in time.
Alternatives: These are the various means—such as policies, strategies, or
designs—by which it may be possible to achieve the objectives.
Consequences: Also referred to as impacts or results, these are the
outcomes that would ensue if a specific alternative were adopted.
Criteria: These are the rules or standards that specify how alternatives are
to be ranked in order of desirability based on their consequences.
Model: An abstraction or simplification of the real world intended to clarify
a problem by retaining only essential characteristics. Models are used to
investigate behaviours or predict the results of actions.
, Constraints: These are restrictions on alternatives, such as physical laws,
resource limitations, or political boundaries, that determine which actions
are feasible.
The Systems Analysis Framework -> The methodology is generally organized into
a series of five interconnected activities:
1. Formulating the Problem: This involves isolating the issues, clarifying
objectives and constraints, and deciding on the initial analytic approach.
2. Identifying and Screening Alternatives: Analysts search for or invent a wide
range of potential actions, then screen out those that are clearly infeasible
or inferior to reduce the set to a manageable number for deep study.
3. Forecasting Future Contexts: Because the results of an action depend on
future conditions, analysts must predict the future "state of the world" or
context in which the alternatives will function.
4. Building and Using Models: Models (often mathematical) are used to
predict the consequences of each alternative under various future
contingencies.
5. Comparing and Ranking Alternatives: The predicted consequences are
compared against the criteria to rank the alternatives, helping the
decision-maker choose the best path.
Core Principles of the Process:
Iteration and Feedback: Systems analysis is rarely a linear process. Results
from one stage often force the analyst to go back and refine earlier
assumptions, redefine objectives, or design entirely new alternatives.
Communication: Continuous dialogue between the analyst and the
decision-maker is vital to ensure the analysis remains relevant to the
decision-maker's actual values and constraints.
Comparison Methods: Various tools are used to aid comparison, including
scorecards (which display a full spectrum of consequences), cost-
effectiveness analysis, and utility theory.
Documentation: Professionalism requires a complete record of
assumptions, data, and methods so that the work is understandable and
can be validated by others.
Methodological Framework for Systems Analysis: A Comprehensive Guide
1. Introduction to Systems Analysis Methodology
Systems analysis is fundamentally triggered by a recognition of a problem or a
profound dissatisfaction with the status quo. It is an inquiry designed to assist a
decisionmaker in discovering how to bring about a desired change. The primary
aim is to provide relevant information and factual arguments that allow for the
selection of the most advantageous course of action.
The foundational framework for evaluating alternatives is the rational actor
model (referred to as Model I). This model views the decisionmaker as a rational
agent—either an individual or a cohesive group—who seeks to maximize utility
by balancing the probable consequences of various actions against their costs
, and objectives. However, as a Senior Systems Architect must acknowledge,
Model I is often inadequate for complex public sector decisions involving multiple
stakeholders and tangled political realities. In such environments, the rational
actor model serves as a necessary "first cut" but must be supplemented by
organizational and political considerations to remain viable (Allison, 1971).
Beyond mere "problem-solving," systems analysis functions as an instrument of
persuasion to win acceptance for proposals, an aid to implementation to prevent
adverse interests from rendering a chosen course ineffective, and a tool for
investigating vague goals to transform them into operational measures.
2. The Six Core Elements of Systems Analysis
A rigorous systems analysis is built upon six fundamental elements:
1. Objectives: What the decisionmaker desires to achieve. The analysis must
define these goals and establish how to measure their achievement.
2. Alternatives: The diverse means—policies, strategies, or technical designs
—by which objectives may be attained.
3. Consequences: The results (benefits, costs, impacts, or attributes) that
ensue if an alternative is adopted.
4. Criteria: The rules or standards used to rank alternatives by desirability.
These are frequently expressed as ratios (e.g., reduction in fatalities per
dollar spent) or rankings of desirability based on specific outcomes.
5. Model: An abstraction or set of assumptions about some aspect of the
world, intended to clarify our view of an object, process, or problem by
retaining only those characteristics essential to the purpose at hand.
6. Constraints: Restrictions on alternatives—physical, social, technical, or
political—that limit the decisionmaker's freedom of action.
3. The Three Phases of Analysis
While the process is deeply interconnected, it is functionally categorized into
three major phases:
Formulation: Isolating the core issues, fixing the context, and clarifying the
hierarchy of objectives and constraints.
Research: Generating and screening alternatives, forecasting future
contexts, and determining the consequences of actions.
Presentation: Comparing alternatives through rigorous evaluation and
documenting results for the decisionmaker.
4. The Five-Step Procedural Framework
The practice of systems analysis follows a structured procedural framework,
anchored by an "Initiation" trigger and concluding with the "Communication of
Results."
1. Formulating the Problem: Defining boundaries, identifying constraints
(including the "state of the art"), and establishing values and criteria.
Week 1 lecture 1 Introduction
This course exists because there are severe challenges towards sustainability
1. The call for interventions. An intervention is a process or an act by which
change is introduced into a certain (ongoing) situation.
2. The importance of stakeholder’s participation. The world has become
increasingly interconnected. Most of the problems encompass numerous
people, groups and organizations.
3. Using strategic approaches to deal with the sustainability challenges. A
coordinated and systematic process for developing a plan to optimize
endeavours to reach certain goals in the future. This systematic process
required different techniques and methods.
Every concept has a history, including sustainability. In 1983, the World
Commission on Environment and Development was initiated as a sub-
organization of the UN; the Brundtland Commission. In 1987, the commission
released a report called Our Common Future (a.k.a. the Brundtland Report).
Report mainstreamed sustainability in policy discussions and offered a definition
of sustainable development, which is still with us today: "meets the needs of the
present without compromising the ability of future generations to meet their own
needs".
Climate change threatens sustainability by disrupting ecosystems, economies,
and
communities. Different discourses about climate change inform different
meanings and courses of action (i.e. “intervention”).
From the book Cradle to Cradle:
“Blindly adopting superficial environmental approaches without fully
understanding their effects can be no better and perhaps even worse—than
doing nothing” (p.59).
“To be less bad is to accept things as they are, to believe that poorly designed,
dishonourable, destructive systems are the best humans can do. This is the
ultimate failure of the ’be less bad’ approach: a failure of the imagination” (p. 67).
The goal of system analysis is to identify and name the system so we can reduce
the gap between the desired and actual state in the short and long term and for
direct and indirect effects. We are estimating the effect by drawing up scenarios
and models, including their ‘reasoning’. It includes clear indicators/criteria (based
on preferences or wishes of involved stakeholders) about the change of the
system as a whole.
First, define the system in which the supposed problem occurs. You must
formulate or determine the “system” and “system boundary” yourself as part of
your analysis.
, Findeisen and Quade (1985)
This document, titled "The Methodology of Systems Analysis: An Introduction and
Overview," explores the systematic approach used to help decision-makers
discover and implement the most advantageous courses of action for complex
problems. It emphasizes that systems analysis is not just about finding a solution,
but also about providing factual arguments to win acceptance and aid in the
implementation of that solution.
The sources define several fundamental elements used throughout a systems
analysis:
Objectives: These are the goals the decision-maker desires to achieve. A
goal is often broad and qualitative, while a target is a concrete,
quantitative objective specified in time.
Alternatives: These are the various means—such as policies, strategies, or
designs—by which it may be possible to achieve the objectives.
Consequences: Also referred to as impacts or results, these are the
outcomes that would ensue if a specific alternative were adopted.
Criteria: These are the rules or standards that specify how alternatives are
to be ranked in order of desirability based on their consequences.
Model: An abstraction or simplification of the real world intended to clarify
a problem by retaining only essential characteristics. Models are used to
investigate behaviours or predict the results of actions.
, Constraints: These are restrictions on alternatives, such as physical laws,
resource limitations, or political boundaries, that determine which actions
are feasible.
The Systems Analysis Framework -> The methodology is generally organized into
a series of five interconnected activities:
1. Formulating the Problem: This involves isolating the issues, clarifying
objectives and constraints, and deciding on the initial analytic approach.
2. Identifying and Screening Alternatives: Analysts search for or invent a wide
range of potential actions, then screen out those that are clearly infeasible
or inferior to reduce the set to a manageable number for deep study.
3. Forecasting Future Contexts: Because the results of an action depend on
future conditions, analysts must predict the future "state of the world" or
context in which the alternatives will function.
4. Building and Using Models: Models (often mathematical) are used to
predict the consequences of each alternative under various future
contingencies.
5. Comparing and Ranking Alternatives: The predicted consequences are
compared against the criteria to rank the alternatives, helping the
decision-maker choose the best path.
Core Principles of the Process:
Iteration and Feedback: Systems analysis is rarely a linear process. Results
from one stage often force the analyst to go back and refine earlier
assumptions, redefine objectives, or design entirely new alternatives.
Communication: Continuous dialogue between the analyst and the
decision-maker is vital to ensure the analysis remains relevant to the
decision-maker's actual values and constraints.
Comparison Methods: Various tools are used to aid comparison, including
scorecards (which display a full spectrum of consequences), cost-
effectiveness analysis, and utility theory.
Documentation: Professionalism requires a complete record of
assumptions, data, and methods so that the work is understandable and
can be validated by others.
Methodological Framework for Systems Analysis: A Comprehensive Guide
1. Introduction to Systems Analysis Methodology
Systems analysis is fundamentally triggered by a recognition of a problem or a
profound dissatisfaction with the status quo. It is an inquiry designed to assist a
decisionmaker in discovering how to bring about a desired change. The primary
aim is to provide relevant information and factual arguments that allow for the
selection of the most advantageous course of action.
The foundational framework for evaluating alternatives is the rational actor
model (referred to as Model I). This model views the decisionmaker as a rational
agent—either an individual or a cohesive group—who seeks to maximize utility
by balancing the probable consequences of various actions against their costs
, and objectives. However, as a Senior Systems Architect must acknowledge,
Model I is often inadequate for complex public sector decisions involving multiple
stakeholders and tangled political realities. In such environments, the rational
actor model serves as a necessary "first cut" but must be supplemented by
organizational and political considerations to remain viable (Allison, 1971).
Beyond mere "problem-solving," systems analysis functions as an instrument of
persuasion to win acceptance for proposals, an aid to implementation to prevent
adverse interests from rendering a chosen course ineffective, and a tool for
investigating vague goals to transform them into operational measures.
2. The Six Core Elements of Systems Analysis
A rigorous systems analysis is built upon six fundamental elements:
1. Objectives: What the decisionmaker desires to achieve. The analysis must
define these goals and establish how to measure their achievement.
2. Alternatives: The diverse means—policies, strategies, or technical designs
—by which objectives may be attained.
3. Consequences: The results (benefits, costs, impacts, or attributes) that
ensue if an alternative is adopted.
4. Criteria: The rules or standards used to rank alternatives by desirability.
These are frequently expressed as ratios (e.g., reduction in fatalities per
dollar spent) or rankings of desirability based on specific outcomes.
5. Model: An abstraction or set of assumptions about some aspect of the
world, intended to clarify our view of an object, process, or problem by
retaining only those characteristics essential to the purpose at hand.
6. Constraints: Restrictions on alternatives—physical, social, technical, or
political—that limit the decisionmaker's freedom of action.
3. The Three Phases of Analysis
While the process is deeply interconnected, it is functionally categorized into
three major phases:
Formulation: Isolating the core issues, fixing the context, and clarifying the
hierarchy of objectives and constraints.
Research: Generating and screening alternatives, forecasting future
contexts, and determining the consequences of actions.
Presentation: Comparing alternatives through rigorous evaluation and
documenting results for the decisionmaker.
4. The Five-Step Procedural Framework
The practice of systems analysis follows a structured procedural framework,
anchored by an "Initiation" trigger and concluding with the "Communication of
Results."
1. Formulating the Problem: Defining boundaries, identifying constraints
(including the "state of the art"), and establishing values and criteria.
