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Managing Decision
Under Uncertainties
Dr. Elijah Ezendu
FIMC, FIIAN, FBDI, FSSM, FAAFM, FCCM, MIMIS, MITD, ACIArb, ACIPM,
PhD, DocM, MBA, CWM, CBDA, CMA, MPM, PME, CSOL, CCIP, CMC, CMgr
Learning Objectives
At the end of the course, participants should be
able to do the following:
Recognize the importance of managing
decision
Identify effects of risks and uncertainties on
decisions
Identify the sources and levels of uncertainties
Manipulate uncertainties effectively while
managing decision
Conduct decision profiling
“Decisions under uncertainty are high-stakes
gambling where factors such as human life,
health, economic prosperity, or the
environment are concerned.”
- Norman Shultz
“The complexity of most issues makes it impossible
to completely predict what will happen if a
particular decision is made or if a dispute is
resolved in a particular way. This is very clear in
scientific and technical disputes (on the severity
or implications of greenhouse warming, for
example), but it occurs in non-scientific disputes
as well. (For example, how many people will lose
their jobs if the government adopts a new
economic policy).”
Source: Conflict Research Consortium
“Every firm deals with uncertainty in one
way or another. Uncertainty is not often
addressed very well in competitive
strategy formulation.”
- Michael Porter
Event: Occurrence of something
Outcome: Result or consequence of event
Probability: The likelihood of an outcome
Value at Risk: Amount of loss if a negative
event happens
Certainty, Risk & Uncertainty
Certainty: This is a situation wherein the
outcome that will occur is known.
Risk: This is a situation wherein all possible
outcomes and the probability of occurrence
are known , even as one does not know which
outcome shall surely occur.
Uncertainty: This is a situation wherein the
possible outcomes or probability of the
outcomes is unknown, or both the possible
outcomes and probability of outcomes are
unknown.
Positioning Uncertainty & Risk
Uncertainty
Risk and
Uncertainty Risk
Probabilities
[and Outcomes]
Unknown
Some Knowledge
Of Probabilities
[and Outcomes]
Probabilities
[and Outcomes]
Known
Source: Casavant, Kenneth, Infanger and Bridges
Differentiating Risk from Uncertainty
Risk is a state which probabilistic distributions
can be assigned and expected values can be
determined.
In the case of uncertainty, probabilistic
distribution can’t be assigned and expected
values can’t be determined
Exercise
1. Mention 5 examples of Certainty
2. Mention 5 examples of Risk
3. Mention 5 examples of Uncertainty
Impact of Risk and Uncertainty
on Choices During Decision Making
• Lower risk and uncertainty are preferable
situations: If the management of a firm fail to
think about risk and uncertainty, it may end in
quandary.
• As risk and uncertainty increases, some strategic
choices become more valuable than others: At
high levels of risk and uncertainty, the best
strategic choices are those that boost an
organisation’s flexibility and sustain open
options.
“Uncertainty confounds the planning process
by invalidating the rules of the game under
which the industry has operated, without
revealing obvious new rules.”
- Dennis Kennedy
Sources of Uncertainty
Source: Elijah Ezendu, Decision-Making
Demand Structure
• Customer Preferences
• Market Size
• Price Responsiveness
• Segmentation
Externalities
• Industry Structure
• Government Regulation
• Influence of Non Governmental Organisations
• Social Norms
Supply Structure
• New Products
• New Processes
• New Technology
Competitors
• Nature of Competitors
• Strategies of Competitors
• Behaviours of Competitors
Internal Forces
• Alignment of Ownership
• Behaviour of Management
• Behaviour of Employees
Time
• The Rapidity of a Phenomenon
“Whether it is uncertainty, risk, or somewhere in-
between there is one strategy that always
improves the manager’s ability to make sound
management decisions and that is information.
The more information a manager has on the
potential uncertainties and risks that they face,
then the more they can establish probabilities
of likely outcomes, evaluate the impact on the
business, and evaluate risk management
strategies accordingly.”
- Kevin Bernhardt
Levels of Uncertainty
Clear Trends
These are factors that are plain and can be
investigated without problems, and their
details are knowable, while the activities can
be predictable on probing deeper therein.
For example assumptions about upward trend in
the society, market and economic bloc.
Unknowns That Are Known
This second level of uncertainty is characterized
by factors which when subjected to proper
analysis , their probability of outcome can be
known.
For example demand trends and consumer
preferences.
Residual Uncertainty
This is the topmost level of uncertainty and its
distinctive features are complexity and futility in
every attempt of people to conduct analysis for
predicting occurrence. Therefore, residual
uncertainty normally cause fear, stress and
discomfort to decision makers. Nevertheless,
movement from one position of time to another, may
be able to downgrade it to a lower level of
uncertainty.
For example the effect of consumer choice on the
future of financial services
Exercise
As a forward looking professional, conduct a
comprehensive profile of your career and
pinpoint your goals. Thereafter, identify your
career certainties, career risks and career
uncertainties.
Bernoulli’s Model of Different Risk Perspectives
Risk-Averse
Risk
Neutral
Risk-Seeking
Utility
Money
Source: Begg, Bratvold and Campbell, Decision-Making Under Uncertainty
i. Risk-Averse: This involves preference for a certain outcome
instead of a gamble with expected value of wealth. When a
Risk-Averse decision-maker acts, a risky opportunity would
be exchanged for one that has a definite outcome. This is
characterized by diminishing marginal utility of wealth.
ii. Risk Neutral: This is indifferent between the certain
outcome and gamble. The Risk Neutral attitude to decision-
making focuses on expected value.
iii. Risk-Seeking: This involves preference for the gamble
instead of the certain outcome. Risk-Seeking decision-
maker would want to be paid an amount higher than the
expected value, so as to exchange the risky decision for the
certain one. This is characterized by increasing marginal
utility of wealth.
Risk Perspectives in Decision Making
“Most decisions to do something positive…. Can
only be taken as a result of animal spirits- of a
spontaneous urge to action rather than
inaction, and not as the outcome of a
weighted average of quantitative benefits
multiplied by quantitative probabilities.”
- John Maynard Keynes
Common Biases Hindering Effective
Management of Decisions
• Availability Bias
• Undue Optimism and Overconfidence
• Seeing Object of Belief
• Anchoring on Idea
Handling Uncertainties
Exogenous Uncertainty
• Identify technological uncertainties and ascertain market
potential
• Limit the firm’s exposure
• Uphold flexibility
Endogenous Uncertainty
• Identify optimal entry time with reference to competitor entry
• Build internal teams and alliance relationships.
Limitations of Using NPV Analysis
Under Uncertainties
1. Information pertaining to cash flow may not be
available.
2. Assumes uncertainty and risk remains constant
3. It does not track the value of future strategies that
are enabled by current strategy
The Place of Scenario Analysis in
Managing Decision Under Uncertainties
• It gives room for alternative values of
strategies based on alternative contributory
factors
• It does not handle the second and third
limitation of NPV Analysis
Limitations of Real Options in
Managing Decision Under Uncertainty
1. The problem of balancing flexibility with
commitment
2. Variation in responsiveness of
products/opportunities to capital market
assumptions
Flexibility Versus Commitment
1. When commitment become successful, it
gives superior performance
2. Flexibility to go for additional options could
be connected to previous commitment
3. Even if the value of flexibility is increased by
uncertainty, obviously it’s not right to be
totally flexible.
Decision Profiling
This is done by identifying and examining the
past choices and their basis in line with
standards , so as to ensure compliance of
decision thrust to stated objectives.
Case Study
The Chief Executive Officer of Kestel Bank
invited you as a consultant to conduct
management decision profiling, so as to
ascertain the veracity of their decision thrust
in improving competitiveness. Explain how
you would conduct it vis-à-vis the internal and
external realities of the bank.
Dr Elijah Ezendu is Award-Winning Business Expert & Certified Management Consultant with expertise
in Interim Management, Strategy, Competitive Intelligence, Transformation, Restructuring, Turnaround
Management, Business Development, Marketing, Project & Cost Management, Leadership, HR, CSR, e-
Business & Software Architecture. He had functioned as Founder, Initiative for Sustainable Business
Equity; Chairman of Board, Charisma Broadcast Film Academy; Group Chief Operating Officer, Idova
Group; CEO, Rubiini (UAE); Special Advisor, RTEAN; Director, MMNA Investments; Chair, Int’l Board of
GCC Business Council (UAE); Senior Partner, Shevach Consulting; Chairman (Certification & Training),
Coordinator (Board of Fellows), Lead Assessor & Governing Council Member, Institute of Management
Consultants, Nigeria; Lead Resource, Centre for Competitive Intelligence Development; Lead
Consultant/ Partner, JK Michaels; Turnaround Project Director, Consolidated Business Holdings Limited;
Technical Director, Gestalt; Chief Operating Officer, Rohan Group; Executive Director (Various Roles),
Fortuna, Gambia & Malta; Chief Advisor/ Partner, D & E; Vice Chairman of Board, Refined Shipping;
Director of Programmes & Governing Council Member, Institute of Business Development, Nigeria;
Member of TDD Committee, International Association of Software Architects, USA; Member of Strategic
Planning and Implementation Committee, Chartered Institute of Personnel Management of Nigeria;
Country Manager (Nigeria) & Adjunct Faculty (MBA Programme), Regent Business School, South Africa;
Adjunct Faculty (MBA Programme), Ladoke Akintola University of Technology; Editor-in-Chief, Cost
Management Journal; Council Member, Institute of Internal Auditors of Nigeria; Member, Board of
Directors (Several Organizations). He holds Doctoral Degree in Management, Master of Business
Administration and Fellow of Professional Institutes in North America, UK & Nigeria. He is Innovator of
Corporate Investment Structure Based on Financials and Intangibles, for valuation highlighting
intangible contributions of host communities and ecological environment: A model celebrated globally
as remedy for unmitigated depreciation of ecological capital and developmental deprivation of host
communities. He had served as Examiner to Professional Institutes and Universities. He had been a
member of Guild of Soundtrack Producers of Nigeria. He's an author and extensively featured speaker.
Thank You

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Managing Decision Under Uncertainties

  • 1. Managing Decision Under Uncertainties Dr. Elijah Ezendu FIMC, FIIAN, FBDI, FSSM, FAAFM, FCCM, MIMIS, MITD, ACIArb, ACIPM, PhD, DocM, MBA, CWM, CBDA, CMA, MPM, PME, CSOL, CCIP, CMC, CMgr
  • 2. Learning Objectives At the end of the course, participants should be able to do the following: Recognize the importance of managing decision Identify effects of risks and uncertainties on decisions Identify the sources and levels of uncertainties Manipulate uncertainties effectively while managing decision Conduct decision profiling
  • 3. “Decisions under uncertainty are high-stakes gambling where factors such as human life, health, economic prosperity, or the environment are concerned.” - Norman Shultz
  • 4. “The complexity of most issues makes it impossible to completely predict what will happen if a particular decision is made or if a dispute is resolved in a particular way. This is very clear in scientific and technical disputes (on the severity or implications of greenhouse warming, for example), but it occurs in non-scientific disputes as well. (For example, how many people will lose their jobs if the government adopts a new economic policy).” Source: Conflict Research Consortium
  • 5. “Every firm deals with uncertainty in one way or another. Uncertainty is not often addressed very well in competitive strategy formulation.” - Michael Porter
  • 6. Event: Occurrence of something Outcome: Result or consequence of event Probability: The likelihood of an outcome Value at Risk: Amount of loss if a negative event happens
  • 7. Certainty, Risk & Uncertainty Certainty: This is a situation wherein the outcome that will occur is known. Risk: This is a situation wherein all possible outcomes and the probability of occurrence are known , even as one does not know which outcome shall surely occur. Uncertainty: This is a situation wherein the possible outcomes or probability of the outcomes is unknown, or both the possible outcomes and probability of outcomes are unknown.
  • 8. Positioning Uncertainty & Risk Uncertainty Risk and Uncertainty Risk Probabilities [and Outcomes] Unknown Some Knowledge Of Probabilities [and Outcomes] Probabilities [and Outcomes] Known Source: Casavant, Kenneth, Infanger and Bridges
  • 9. Differentiating Risk from Uncertainty Risk is a state which probabilistic distributions can be assigned and expected values can be determined. In the case of uncertainty, probabilistic distribution can’t be assigned and expected values can’t be determined
  • 10. Exercise 1. Mention 5 examples of Certainty 2. Mention 5 examples of Risk 3. Mention 5 examples of Uncertainty
  • 11. Impact of Risk and Uncertainty on Choices During Decision Making • Lower risk and uncertainty are preferable situations: If the management of a firm fail to think about risk and uncertainty, it may end in quandary. • As risk and uncertainty increases, some strategic choices become more valuable than others: At high levels of risk and uncertainty, the best strategic choices are those that boost an organisation’s flexibility and sustain open options.
  • 12. “Uncertainty confounds the planning process by invalidating the rules of the game under which the industry has operated, without revealing obvious new rules.” - Dennis Kennedy
  • 13. Sources of Uncertainty Source: Elijah Ezendu, Decision-Making
  • 14. Demand Structure • Customer Preferences • Market Size • Price Responsiveness • Segmentation Externalities • Industry Structure • Government Regulation • Influence of Non Governmental Organisations • Social Norms
  • 15. Supply Structure • New Products • New Processes • New Technology Competitors • Nature of Competitors • Strategies of Competitors • Behaviours of Competitors
  • 16. Internal Forces • Alignment of Ownership • Behaviour of Management • Behaviour of Employees Time • The Rapidity of a Phenomenon
  • 17. “Whether it is uncertainty, risk, or somewhere in- between there is one strategy that always improves the manager’s ability to make sound management decisions and that is information. The more information a manager has on the potential uncertainties and risks that they face, then the more they can establish probabilities of likely outcomes, evaluate the impact on the business, and evaluate risk management strategies accordingly.” - Kevin Bernhardt
  • 19. Clear Trends These are factors that are plain and can be investigated without problems, and their details are knowable, while the activities can be predictable on probing deeper therein. For example assumptions about upward trend in the society, market and economic bloc.
  • 20. Unknowns That Are Known This second level of uncertainty is characterized by factors which when subjected to proper analysis , their probability of outcome can be known. For example demand trends and consumer preferences.
  • 21. Residual Uncertainty This is the topmost level of uncertainty and its distinctive features are complexity and futility in every attempt of people to conduct analysis for predicting occurrence. Therefore, residual uncertainty normally cause fear, stress and discomfort to decision makers. Nevertheless, movement from one position of time to another, may be able to downgrade it to a lower level of uncertainty. For example the effect of consumer choice on the future of financial services
  • 22. Exercise As a forward looking professional, conduct a comprehensive profile of your career and pinpoint your goals. Thereafter, identify your career certainties, career risks and career uncertainties.
  • 23. Bernoulli’s Model of Different Risk Perspectives Risk-Averse Risk Neutral Risk-Seeking Utility Money Source: Begg, Bratvold and Campbell, Decision-Making Under Uncertainty
  • 24. i. Risk-Averse: This involves preference for a certain outcome instead of a gamble with expected value of wealth. When a Risk-Averse decision-maker acts, a risky opportunity would be exchanged for one that has a definite outcome. This is characterized by diminishing marginal utility of wealth. ii. Risk Neutral: This is indifferent between the certain outcome and gamble. The Risk Neutral attitude to decision- making focuses on expected value. iii. Risk-Seeking: This involves preference for the gamble instead of the certain outcome. Risk-Seeking decision- maker would want to be paid an amount higher than the expected value, so as to exchange the risky decision for the certain one. This is characterized by increasing marginal utility of wealth. Risk Perspectives in Decision Making
  • 25. “Most decisions to do something positive…. Can only be taken as a result of animal spirits- of a spontaneous urge to action rather than inaction, and not as the outcome of a weighted average of quantitative benefits multiplied by quantitative probabilities.” - John Maynard Keynes
  • 26. Common Biases Hindering Effective Management of Decisions • Availability Bias • Undue Optimism and Overconfidence • Seeing Object of Belief • Anchoring on Idea
  • 27. Handling Uncertainties Exogenous Uncertainty • Identify technological uncertainties and ascertain market potential • Limit the firm’s exposure • Uphold flexibility Endogenous Uncertainty • Identify optimal entry time with reference to competitor entry • Build internal teams and alliance relationships.
  • 28. Limitations of Using NPV Analysis Under Uncertainties 1. Information pertaining to cash flow may not be available. 2. Assumes uncertainty and risk remains constant 3. It does not track the value of future strategies that are enabled by current strategy
  • 29. The Place of Scenario Analysis in Managing Decision Under Uncertainties • It gives room for alternative values of strategies based on alternative contributory factors • It does not handle the second and third limitation of NPV Analysis
  • 30. Limitations of Real Options in Managing Decision Under Uncertainty 1. The problem of balancing flexibility with commitment 2. Variation in responsiveness of products/opportunities to capital market assumptions
  • 31. Flexibility Versus Commitment 1. When commitment become successful, it gives superior performance 2. Flexibility to go for additional options could be connected to previous commitment 3. Even if the value of flexibility is increased by uncertainty, obviously it’s not right to be totally flexible.
  • 32. Decision Profiling This is done by identifying and examining the past choices and their basis in line with standards , so as to ensure compliance of decision thrust to stated objectives.
  • 33. Case Study The Chief Executive Officer of Kestel Bank invited you as a consultant to conduct management decision profiling, so as to ascertain the veracity of their decision thrust in improving competitiveness. Explain how you would conduct it vis-à-vis the internal and external realities of the bank.
  • 34. Dr Elijah Ezendu is Award-Winning Business Expert & Certified Management Consultant with expertise in Interim Management, Strategy, Competitive Intelligence, Transformation, Restructuring, Turnaround Management, Business Development, Marketing, Project & Cost Management, Leadership, HR, CSR, e- Business & Software Architecture. He had functioned as Founder, Initiative for Sustainable Business Equity; Chairman of Board, Charisma Broadcast Film Academy; Group Chief Operating Officer, Idova Group; CEO, Rubiini (UAE); Special Advisor, RTEAN; Director, MMNA Investments; Chair, Int’l Board of GCC Business Council (UAE); Senior Partner, Shevach Consulting; Chairman (Certification & Training), Coordinator (Board of Fellows), Lead Assessor & Governing Council Member, Institute of Management Consultants, Nigeria; Lead Resource, Centre for Competitive Intelligence Development; Lead Consultant/ Partner, JK Michaels; Turnaround Project Director, Consolidated Business Holdings Limited; Technical Director, Gestalt; Chief Operating Officer, Rohan Group; Executive Director (Various Roles), Fortuna, Gambia & Malta; Chief Advisor/ Partner, D & E; Vice Chairman of Board, Refined Shipping; Director of Programmes & Governing Council Member, Institute of Business Development, Nigeria; Member of TDD Committee, International Association of Software Architects, USA; Member of Strategic Planning and Implementation Committee, Chartered Institute of Personnel Management of Nigeria; Country Manager (Nigeria) & Adjunct Faculty (MBA Programme), Regent Business School, South Africa; Adjunct Faculty (MBA Programme), Ladoke Akintola University of Technology; Editor-in-Chief, Cost Management Journal; Council Member, Institute of Internal Auditors of Nigeria; Member, Board of Directors (Several Organizations). He holds Doctoral Degree in Management, Master of Business Administration and Fellow of Professional Institutes in North America, UK & Nigeria. He is Innovator of Corporate Investment Structure Based on Financials and Intangibles, for valuation highlighting intangible contributions of host communities and ecological environment: A model celebrated globally as remedy for unmitigated depreciation of ecological capital and developmental deprivation of host communities. He had served as Examiner to Professional Institutes and Universities. He had been a member of Guild of Soundtrack Producers of Nigeria. He's an author and extensively featured speaker.