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Investigations into Schumpeterian Economic Behaviour using Swarm

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Title: Investigations into Schumpeterian Economic Behaviour using Swarm


1
Investigations into Schumpeterian Economic
Behaviour using Swarm
  • Craig Lynch
  • Macquarie University (Graduate School of
    Management)
  • Sydney, Australia

2
Structure of Presentation
Background Theory
Research Objectives
Design Approach
Scenario Outcomes
Random Innovation
Risk / Entrepreneur Competency
Predator Behaviour
RD Investment
Imitation Marketing Defense
Analysis Summary
Future Directions
3
Background Theory
Theory of Economic Development (Schumpeter)
Evolutionary Economics
Creative Destruction
Role of Entrepreneur Innovation
Population Focus
Convergence
Strategic Decision-Making by Firms
Industrial Dynamics
4
Schumpeterian Focus
Entrepreneurs
Random Innovation
Risk Availability of Credit
Competitive Behaviour (and Inter-firm dynamics)
Strategic Choices
Predator Behaviour
RD Investment
Imitation Mktg Defense
5
Research Objectives
  • Explore economic and competitive behavioural
    concepts (identifying optimum conditions) for
  • Random innovation within firms
  • Availability of credit and differentiation of
    supply to entrepreneurial candidates
  • Predator behaviour amongst firms
  • Innovation investment and firm growth
  • Imitation and marketing defence investments
    associated with firm growth and survival
  • NOTE Optimum conditions represents maximum GDP
    at economy level, numbers of firms, profit
    levels, and persistence of profit (Roberts 2001)

6
Foundation Bruun and Luna Model
  • Each agent a consumer and individual artisan
    (producer), at time 0
  • Ongoing supply and demand between producers,
    start-up firms, effective firms with workers, and
    consumers
  • Consumers purchase via shopping cart concept
    within 2D toroidal landscape, seeking fulfilment
    within 8 neighbours (Moore neighbourhood)
  • Entrepreneur evaluates fulfilment history of
    neighbours, leads to start-up firm by hiring
    producers (creating workers), then to establish
    firm
  • Account maintained for all agents, used in
    bankruptcy business rule

Agent as consumer
Agent as potential entrepreneur
7
Foundation Bruun and Luna Model (2000)
  • Environmental settings
  • Bankruptcy level
  • Probability of consumer switching from effective
    firm
  • Probability that firm will dissolve for
    non-bankruptcy reasons
  • Degree of profit sharing between entrepreneur
    and workers
  • Confidence threshold (for entrepreneurs in
    evaluating hiring workers)

Sample graphical display of agent types under
different bankruptcy levels
Independent producer
Worker employed by entrepreneur
Entrepreneur with start-up firm
Entrepreneur with effective firm
8
Extended Agent Attributes
  • Artificial internal firm attributes
  • Product attractiveness level
  • Increments as result of innovation, influences
    consumer purchasing
  • Financial stability level
  • Increments with sales continuity, decrements with
    multiple investment types (predator behaviour,
    RD investment, imitation/marketing defence
    investments)
  • Entrepreneur competency level
  • Required for credit availability / risk
    assessment by banks, increments based on firm
    start-up formation success

9
Extended Parameters(Probability/Likelihood
Levers)
  • Innovation randomness
  • Availability of credit
  • Dissolution of effective firms
  • Predator behaviour ( industry option)
  • Strategic RD investment ( type option)
  • RD effectiveness
  • Imitation investment ( type option)
  • Marketing defence

10
Scenario Modules
ATTRIBUTES
LEVERS
11
Generic Execution Environment
  • Swarm ABM engine
  • 20 x 20 (400 agent) population
  • Standard and consistent Bruun Luna baseline
    settings to achieve healthy GDP profile
  • 2 time periods
  • 0-2000 (with detailed data capture)
  • 0-4000 (macro GDP analysis only to determine
    longer-term trends)

12
Scenario Outcomes Stage 1(Random Innovation
Impact)
  • Parameter settings
  • High, Med-High, Med, Low, V. Low random
    innovation likelihood
  • Outcome
  • LOW random innovation results in marginally
    higher GDP than baseline and other innovation
    settings

Baseline
LOW Random Innovation setting
13
Innovation Randomness Seed
100 (High)
Innovation Randomness Seed 1,000 (Medium -
High)
Innovation Randomness Seed 10,000 (Medium)
Innovation Randomness Seed 100,000 (Low)
Innovation Randomness Seed 100,000,000 (Very
Low)
14
Scenario Outcomes Stage 1(Random Innovation
Impact)
  • No. effective firms highest at low to medium
    random innovation settings

15
Scenario Outcomes Stage 1(Random Innovation
Impact)
  • Persistence of profit calculations show LOW
    random innovation firms with lowest levels

16
Scenario Outcomes Stage 2(Risk / Entrepreneur
Competency)
  • Parameter settings
  • High, Med, Low combinations of credit
    availability effective firm dissolution
  • Outcome
  • Optimum GDP values when both credit availability
    and firm dissolution settings are HIGH

Baseline
HIGH credit availability and HIGH firm
dissolution likelihood
17
Scenario Outcomes Stage 2(Risk / Entrepreneur
Competency)
  • Effective firms formed only in high credit
    availability circumstances
  • Maximum no. firms for HIGH/HIGH combination, but
    lower persistence of profit

18
Scenario Outcomes Stage 3(Predator Behaviour)
  • Parameter settings
  • V. High, High, Med, Low, V. Low predator
    behaviour likelihood
  • Maximum no. firms for LOW predator behaviour,
    with persistence of profit calculations steady
    for all scenarios
  • Outcomes
  • Similar GDP results for all predator settings,
    for both industry grouping settings

19
Scenario Outcomes Stage 4(RD Investment
Impact)
Worst GDP profiles
VERY HIGH Investment Effectiveness
HIGH Investment Effectiveness
Proportional Investment
Non-Proportional Investment
20
Scenario Outcomes Stage 4(RD Investment
Impact)
  • GDP profiles similar with exception of very high
    investment and effectiveness, for both types of
    investment
  • Medium investment and effectiveness produces
    higher no. firms earlier, BUT least persistence
    of profit
  • Proportional investment more positive for Very
    High Investment / Low effectiveness

Proportional Investment
Non-Proportional Investment
21
Scenario Outcomes Stage 5(Imitation /
Marketing Defence Impact)
  • 2 scenarios of LOW defence produce best GDP
    results
  • Medium investment defence shows GDP decline
    late in cycle time period

LOW imitation / LOW defence
MED imitation / MED defence
HIGH imitation / LOW defence
22
Scenario Outcomes Stage 5(Imitation /
Marketing Defence Impact)
  • Maximum no. firms for LOW imitation / LOW defence
    scenario, AND best persistence of profit outcome
  • No significant difference between proportional
    and non-proportional investment
  • Firms running in the red

23
Analysis Summary
  • Essential to analyse at both macro and micro
    level
  • Small amount of random innovation beneficial for
    economy (not excessive, however)
  • But not for firm profit
  • Mixed results (GDP, no. firms, profit
    persistence) for credit / dissolution scenarios
  • Low sensitivity for predator behaviour scenarios,
    but higher profit for LOW setting (marginal)
  • Medium RD investment effectiveness optimum
    combination for economy but not for firms
  • Low imitation / Low marketing defence optimum for
    all measures

24
Future Directions
  • Establish credit creation through entrepreneur
    activity, with imitation swarms
  • Establish conditions and logic for business
    cycles (Schumpeter theory)
  • Establish production dynamics for firms and
    tiered industry structures (intermediate firms
    and product structures)
  • Multiple, concurrent competitive strategy
    execution by firms
  • Focus on firm balance sheets and PL
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