Korea Midland Power Co Ltd
2adc0c27-ba3f-40a6-8c03-7360d6ccbc5b
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-21T12:48:49.418669+00:00

Business Model Classification Tokens

contract_cycle_length
null
Inferred
Pending — BM Dev Shop classification run
enterprise_sales_motion
null
Inferred
Pending — BM Dev Shop classification run
procurement_complexity
null
Inferred
Pending — BM Dev Shop classification run
vendor_lock_coefficient
null
Inferred
Pending — BM Dev Shop classification run
consumer_acquisition_channel
null
Inferred
Pending — BM Dev Shop classification run
brand_loyalty_index
null
Inferred
Pending — BM Dev Shop classification run
impulse_vs_considered_purchase
null
Inferred
Pending — BM Dev Shop classification run
retail_distribution_reach
null
Inferred
Pending — BM Dev Shop classification run
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-024 Lock-in WHO High
Direct: vendor_lock_dependency_score=High dependency on state-linked fuel suppliers (KOGAS for LNG >30% input cost); limited substitutability in short term
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Lock-in (SG-024) WHO provides the core structure, combined with Product to Capability (SG-036) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 3 Medium: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
High leverage; net debt/EBITDA ~6-8x typical for Korean public utility; 20% rate rise adds ~KRW 150-200B annual interest burden
Inferred
Agent_Inference
interest_rate_sensitivity
Significant exposure; ~70% of debt is long-term fixed/floating mix; 20bp rise compresses net income by estimated 3-5%
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Strait of Hormuz (LNG/crude imports) and Malacca Strait (coal shipments from Indonesia/Australia) are top two chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Minimal international revenue; sovereign currency devaluation risk is negligible; operations are ~99% domestic Korean market
Inferred
Agent_Inference
geographic_footprint
Effectively domestic-only; KRW is sole material currency; no meaningful foreign revenue exposure to devaluation risk
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Natural Gas, Coal, Uranium, Crude Oil, Copper (grid), Lithium (storage); geopolitical: European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
High dependency on state-linked fuel suppliers (KOGAS for LNG >30% input cost); limited substitutability in short term
Inferred
Agent_Inference
business_model_type_primary
Traditional regulated utility; no material cloud infrastructure dependency; generation and grid assets are on-premise physical
Inferred
Agent_Inference
business_model_type_secondary
Not applicable; secondary cloud-based revenue model does not exist for this thermal power utility
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; operations rely on SCADA/OT systems, not cloud APIs; switching cost risk is hardware/OT vendor-driven
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; revenue from regulated electricity tariffs, not investment contracts; no token or profit-sharing scheme
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; serves domestic Korean industrial/grid customers; minimal EU or California consumer data processing
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; operates within KEPCO-regulated monopoly structure; antitrust risk tied to government pricing coordination, not market abuse
Inferred
Agent_Inference
regulatory_exposure_profile
Very High burden; regimes: FERC, NERC, EPA, NRC, State PUCs, DOE; Rate-case lag and clean-energy mandates compress returns on regulated asset base.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~95% quasi-recurring via long-term power purchase agreements and regulated tariffs; minimal transactional spot market revenue
Inferred
Agent_Inference
monetization_vector
Regulated tariff per MWh sold to KEPCO grid; wholesale electricity price determined by KPX cost-based pool mechanism
Inferred
Agent_Inference
pricing_architecture
Administered cost-of-service pricing; limited ability to pass through fuel cost spikes without regulatory approval lag
Inferred
Agent_Inference
pricing_power_rating
Low independent pricing power; tariffs set by government/KEPCO; fuel cost passthrough lag creates margin compression in volatile markets
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin typically 5-15%; highly compressed by fuel cost volatility and regulated tariff ceilings
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage; single-buyer model (KEPCO); churn is structurally impossible under current regulated framework
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is capital-linear, not headcount-linear; doubling capacity requires plant investment, not proportional staff doubling
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal growth driven by capex (new generation units); labor component sublinear; fuel cost is dominant variable cost driver
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; not a franchise business model; operates under government utility concession with direct regulatory oversight
Inferred
Agent_Inference
customer_acquisition_metric
Not applicable at 10x scale; single customer (KEPCO) by regulatory design; no customer acquisition cost structure exists
Inferred
Agent_Inference
network_effect_present
No network effect; regulated monopoly generation asset; value does not increase with additional users or participants
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for core generation ops; predictive maintenance AI could reduce O&M costs ~5-10% over 5 years
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession resistant; electricity is essential utility; demand decline in recession is modest (~2-5% industrial demand drop)
Inferred
Agent_Inference
customer_segment_primary
Single primary customer: KEPCO (Korea Electric Power Corporation) accounts for ~100% of revenue via grid offtake
Inferred
Agent_Inference
customer_segment_secondary
No meaningful secondary customer segment; concentration risk is extreme with 100% KEPCO dependency
Inferred
Agent_Inference
characteristic_occupations
["11-0000 Management Occupations", "13-0000 Business and Financial Operations Occupations", "15-0000 Computer and Mathematical Occupations", "17-0000 Architecture and Engineering Occupations", "23-0000 Legal Occupations", "41-0000 Sales and Related Occupations", "43-0000 Office and Administrative Support Occupations", "47-0000 Construction and Extraction Occupations", "49-0000 Installation, Maintenance, and Repair Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.34 (HIL — ~34% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capex split between legacy coal/gas plant maintenance and new LNG/renewable transition; shift toward low-carbon generation ongoing
Inferred
Agent_Inference
sec_cik
null
Inferred
Agent_Inference
ticker
Listed on KRX (Korea Exchange); not NYSE/NASDAQ listed; ticker 267290 KS; discount reflects fuel cost risk and KEPCO tariff compression
Inferred
Agent_Inference

Business Model Components

Core Space

> *Pending Turn 2 — Business Model Type Agent population.*

Interaction Modes

> *Pending Turn 2 — Business Model Type Agent population.*

Product Matrix

> *Pending Turn 2 — Business Model Type Agent population.*

Historical Evolution Log

Live Operational Signals

Signal DateSignal TypeSummary
Source

Evaluation Gate — Persona Stress Tests

SKILL_BUFFETT_VAL_03PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-21no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.