Train, tune and distribute models with generative AI and machine learning capabilities
This is a writing part of my project. For a description, please see my post of February 18, 2025.#GlobalAIandDataScience
1
Guide to My Business Intelligence Project
named: “Firm as Humanized Industrial Organization – A Strategic Approach with AI”
Marcin Pelczarski
May 13, 2024
This is an algorithm (guide) about what to do: step by step.
I.
Introduction
Calculate Industry Consumer Demand, firm’s Potential Demand (MR), and firm’s Supply (MC):
(i)
Deliver Demand and Supply definitions
(ii)
Ask for quantity and price per customer in the industry. Also measure the demand
and supply constant factors impact by asking about the factors’ past, present, and
future status.
II.
Strategic Assumptions (Tasks)
Very long-term choices: R&D - eg. a new Technology.
(ii) Long-term choices:
1. Production Capacity
(a) Mr. Heinrich Freiherr von Stackelberg’s Duopoly Simplest Model
[Just decide whether you are a leader or a follower]
(b) Economies of Scale in the Stackelberg Model
(c) Bertrand-Edgeworth Model
[Equal Production Capacity Constraints per firm]
(d) Limit Pricing Model
[Just decide whether you are 01 out of 02 incumbents or an entrant]
2. Entry Deterrence
(a) The Role of Investments in Entry Deterrence
(b) Entry Barriers
(c) Contestable Markets
Scale: [Low = Perfect and Monopolistic Competition, Medium = Oligopoly, High = Dominant Firm, Monopoly]
3. Differentiated Products with Monopolistic Competition and Address Model
4. Advertising and Oligopoly or Monopoly
5. Issues in Antitrust Economics: Vertical Integration and Vertical Restraints
III.
Tactical Assumptions (Tasks) as short-term choices
1. Homogeneous Products. Small differences between product brands are possible.
2. Number of Firms:
(a) Monopoly
(b) A Dominant firm and Fringe’s firms
(c) Oligopoly: