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Fichier Détails

Cartes-fiches 368
Langue Français
Catégorie Informatique
Niveau Université
Crée / Actualisé 31.05.2025 / 09.06.2025
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For Industry Analysis,AI is used to …

Competitive Analysis

Assessing Cultural Fit in M&A with GPT

In Industry Analysis, particulary in Competitive Analysis, what  ML algorithms can do ? 

ML algorithms can be used to identify strategic groups consisting of firms that follow similar strategies, and also predict movements of firms between these groups.


Algorithms can perform competitor analysis on a continuous basis and help strategists dynamically gauge the validity of the firm’s current strategy

In Internal Analysis, which areas can be impacted and how? 

AI in Human Resources

AI may also augment strategic analysis of internal organizational factors, including human, financial, and auxiliary resources, such as supply chains.
AI assist managers in identifying employee performance, predicting career trajectories, and revealing patterns of compensation and inequality, among others (Strohmeier & Piazza, 2013).

Accounting and Finance

Algorithms may boost the interpretation of what causes certain financial resource conditions (e.g., fluctuations in liquidity, exchange rate premiums at corporate treasuries) relevant to the type and timing of the firm’s strategic commitments (Fethi & Pasiouras, 2010).

Planning and Forecasting

ML algorithms are increasingly providing efficient analysis on other resources relevant to the strategy process, such as demand forecasting, production planning, resource allocation, and logistics.
ML can augment production planning decisions by automating the process of searching for potential suppliers by mining data from online catalogs and other repositories (Nissen & Sengupta, 2006), providing predictions on the performance of prospective suppliers (Humphreys, McIvor, & Huang, 2002), and even estimating valuation and evaluating online bids (Cheung et al., 2004).

GenerativeAI for Strategist, for technologies and applications, give somme example for:
General Generative AI

Corporate Generative AI

Typical Applications for strategist

General Generative AI
• GPT-3.5 / 4
• Microsoft Bing
• Anthropic Claude 2

Corporate Generative AI
• Off-the-shelf solutions such as ChatGPT Enterprise
• Custom solutions such as “Lilli” at McKinsey


Typical Applications for Strategist
• Generating new business ideas
• Developing business plans
• Scenario planning
• Strategy development

What To Do and What Not with Predictive AI: Do NOT use it for… 

• Automation – it cannot replace human reflection
• Facts & sources – it will make up facts and sources to a certain degree
• Final Decisions – it may be biased and inaccurate
• Sensitive data – unless you use a protected corporate accoun

What To Do and What Not with Predictive AI … rather use it for …

• Augmentation – still apply your own judgement
• Ideation – it is great at generating many fresh ideas from scratch
• Experimentation – it can create multiple scenarios or alternatives
• Challenging – it can provide feedback from multiple perspectives
• Storyfication – it writes and structures communication well

What Capabilities Strategy Managers Need ? 

Domain expertise + AI Literacy => prompt engineering

What is the PROMPTING PROCESS ?

Getting Started -> Refining the Focus -> Exploring in Depth

What are 5 promptings actions ? 

Context, objective, constraints, Iteration, Dissection

This prompt is which actions ?

Context Iteration Dissection

This prompt is which actions ?

Dissection

WHich actions(s) ? 

Dissection

Give some example of dissection

Develop a value proposition
Develop a marketing / sales plan
Develop a brand name
Develop a pricing strategy
Identify target customers
Identify suppliers
Identify ideal location
Develop product / service strategy
Develop a value proposition
Develop a marketing / sales plan
Find a brand name
Develop a pricing strategy
Build an operating planDesign a logo / website*
Analyze competitors
*Beyond our scope today / Generative AI solutions like Midjourney, Designs.ai, and Wall-E could support you on
graphical tasks

Give some example of Generating a New Business Idea

• Develop, select, and explore a new business idea for your company
• Follow the three-step prompting process described above
• Collect your different insights and use ChatGPT to turn them into a short pitch to your CEO about your idea

What is Decision Making?

Decision making is the action or process of thinking through possible options and selecting one.

What is a decision in the context of Decision making? 

A decision is a choice made from available alternatives.
 

What are the 6 steps of decision making process ? 

Step 1 Recognize that a decision needs to be made
Step 2 Generate multiple alternatives (brainstorming and idea generation)
Step 3 Analyse the alternatives
Step 4 Select the best option
Step 5 Implement the selected alternative
Step 6 Evaluate its effectiveness

In Mintzberg Managerial Roles, what is interpersonal Roles

• Figurehead (Ceremonial duties)
• Leader (Responsible for the unit, motivates and encourages)
• Liaison (Contacts outside the vertical chain, command, and control)

In Mintzberg Managerial Roles, what is Informational Roles

• Monitor (Scan environment for information)
• Disseminator (Passes information to subordinates)
• Spokesperson (Provide outside organization with information)

In Mintzberg Managerial Roles, what is Decisional Roles

• Entrepreneur (Continually seeking to improve unit)
• Disturbance-Handler (Must respond to outside disturbances)
• Resource-Allocator 
• Negotiator (Represent the organization during any significant negotiations).

Wjhat are Barriers to Effective Strategic Decision-Making ? (Describe them)

Bounded Rationality : Our rationality is limited by our thinking capacity, the information that is available to us.
Escalation of Commitment : Tendency of decision makers to remain committed to poor decision, even when doing so leads to increasingly negative outcomes.
Time Constraints : Time pressures can cause us to rely on heuristics rather than engage in deep processing.
Uncertainty : Uncertainty—they cannot know the outcome of each alternative until they’ve actually chosen that alternative.
Personal Biases : We tend to be more comfortable with ideas, concepts, things, and people that are familiar to us or similar to us.
Conflict : The best decision might be one that is going to involve some conflict.

What are Organizational Structures? 

Organizational Structures are mechanism that aggregates individual decisions into a group-level decision

What is the difference between a Polyarchy an a hierarchy ? 

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Decribe graphe of Complex Organization Designs

Under what conditions do managers make decisions, and what must they do when they make them?

• A significant part of what managers do is make decisions under uncertainty [e.g. which candidate to hire, which project to invest in].
• When making these decisions, the decision maker must predict the outcome of each available option and choose the one that is most likely to yield the best result -> (though the prediction alone may be insufficient to make the decision, it is necessary).
• These predictions can take the form of estimation, which involves deciding on the value of a variable, or screening, which involves accepting or rejecting a proposal AI is increasingly being used to automate or augment humans to improve predictions.

AI algorithms gaining increasing predictive accuracy, translated into various

Describe AI in Relation to Human Intelligence

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Comparison of AI-Based and Human Decision Making

Decision-Making Conditions : Specificity of the decision search space.

AI-Based Decision Making : ?

Human Decision Making : ?

AI-Based Decision Making: Requires a well-specified decision search space with specific objective functions.

Human Decision Making: Accomodates a loosely defined decision search space

Comparison of AI-Based and Human Decision Making

Decision-Making Conditions : Interpretability of the decision-making process and outcome

AI-Based Decision Making : ?

Human Decision Making : ?

AI-Based Decision Making : Complexity of the functional forms can make it difficult to interpret the decision process and outcomes.

Human Decision Making : Decisions are explainable and interpretable, though vulnerable to retrospective sense-making.

Comparison of AI-Based and Human Decision Making

Decision-Making Conditions : Size of the alternative set.

AI-Based Decision Making : ?

Human Decision Making : ?

AI-Based Decision Making : Accomodates large alternative sets. 

Human Decision Making : Limited capacity to uniformly evaluate a large alternative set.

Comparison of AI-Based and Human Decision Making

Decision-Making Conditions : Decision-making speed. 

AI-Based Decision Making : ?

Human Decision Making : ?

AI-Based Decision Making : Comparatively fast. Limited trade-off between speed and accuracy.

Human Decision Making : Comparatively slow. High trade-off between speed and accuracy

Comparison of AI-Based and Human Decision Making

Decision-Making Conditions : Replicability of outcomes. 

AI-Based Decision Making : ?

Human Decision Making : ?

Comparison of AI-Based and Human Decision Making

Decision-Making Conditions : Replicability of outcomes. 

AI-Based Decision Making : The decision-making process and outcomes are highly replicable due to standard computational 

Human Decision Making : Replicability is vulnerable to inter- and intra-individual factors such as differences in experience, attention, context, and emotional state of the decision maker.

What are the 3 Types of Decisions and give the performance for Human, Human + Algorithm, Algorithm

Automation Still with Human Human-AI Collaboration

How can we structure Human AI Collaborative Decision Making?

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What is Full Human to AI Delegation ? And give some example where it is implemented

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For an organizational structure in : Full human to AI delegation

give the intensity for :

Specificity of the Decision Search Space: 
Interpretability:
Size of the Alternative Set:
Decision-Making Speed:
Replicability:

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For an organizational structure in :Hybrid 1: AI to human sequential decision making

give the intensity for :

Specificity of the Decision Search Space: 
Interpretability:
Size of the Alternative Set:
Decision-Making Speed:
Replicability:

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For an organizational structure in :Hybrid 2: Human to AI sequential decision making

give the intensity for :

Specificity of the Decision Search Space: 
Interpretability:
Size of the Alternative Set:
Decision-Making Speed:
Replicability:

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For an organizational structure in :Aggregated human-AI decision making

give the intensity for :

Specificity of the Decision Search Space: 
Interpretability:
Size of the Alternative Set:
Decision-Making Speed:
Replicability:

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Give the process of : AI to Human Sequential Decision Making ans some areas

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Give the process of : Human to AI Sequential Decision Making and give some application

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