Value Chain
Value Chain – Why Porter’s Model Helped Companies Understand Value Creation, and Why the Future Lies Not in Further Fragmentation but in the Fusion of Organizational Capabilities
Short Definition
The Value Chain, introduced by Michael Porter, is a management model that helps companies make their activities visible and understand where costs accumulate, where customer value is created, and where competitive advantage emerges.
Its historical strength lay in systematically breaking down organizations into discrete activities to reveal cost drivers, value sources, differentiation, quality, speed, and competitive advantage.
Its modern limitation lies in the increasing fragmentation this decomposition has produced.
The central question today is sharper and more consequential:
Does value truly originate in isolated activities? Or does it only emerge when roles, capabilities, and systems interact as a unified whole?

Why the Value Chain Emerged
When Michael Porter published Competitive Advantage in 1985, companies were grappling with a fundamental question:
Why are some companies more successful than others?
Until then, many organizations viewed themselves as largely unified entities. Porter introduced a new perspective:
Break the company down into its activities and analyze each one.
Suddenly, companies could pinpoint:
cost drivers
sources of customer value
points of differentiation
quality determinants
speed enablers
competitive advantage mechanisms
For the industrial economy of the 1980s, this was revolutionary.
The Real Innovation of the Value Chain
The true innovation of the Value Chain was not the diagram of a chain.
The innovation was the analytical visibility of value creation.
Before Porter, companies focused primarily on:
revenue
profit
market share
returns
The Value Chain asked a different question:
Which activities create these results?
This made strategic thinking more concrete. Instead of analyzing abstract business outcomes, companies could examine the underlying mechanisms of value creation.
The Classical Value Chain
Primary Activities
Primary activities include:
inbound logistics
operations
outbound logistics
marketing and sales
service
These activities were expected to generate direct customer value.
Support Activities
Support activities include:
procurement
human resource management
technology development
firm infrastructure
They create the conditions that enable primary activities to function.
Why the Value Chain Became So Influential
It Made Activities Visible
Companies could finally understand how their products and services were actually created.
It Made Competitive Advantage Visible
Different activities produce different customer experiences and cost structures.
It Encouraged Process Thinking
Instead of pure departmental logic, organizations increasingly adopted a process‑oriented perspective.
It Became the Foundation for Many Later Methods
Many management approaches build directly or indirectly on the same logic:
Lean Management
Activity‑Based Costing
Process Costing
Six Sigma
Business Process Reengineering
Total Quality Management
The Fragmentation Limit of the Value Chain
The Value Chain helped companies make activities visible. Over time, however, organizations increasingly decomposed themselves:
into departments
into processes
into cost centers
into profit centers
into KPIs
into responsibilities
into target systems
Transparency increased. Complexity increased even faster.
The original analytical clarity often turned into organizational fragmentation.
From Company to Collection of Local Interests
Many organizations began optimizing each area separately:
sales optimized revenue
procurement optimized cost
operations optimized utilization
HR optimized turnover
IT optimized system availability
finance optimized liquidity
Each area pursued understandable goals. But one question remained unanswered:
Who optimizes the whole system?
Local optimization does not automatically lead to global optimization.
The KPI Limit of the Value Chain
The Value Chain made activities visible. KPIs made these activities measurable.
This led to:
performance systems
bonus systems
target agreements
management‑by‑objectives
Balanced Scorecards
And a recurring pattern emerged:
Once a KPI becomes a target, it begins to shape behavior.
Organizations increasingly optimized numbers — not necessarily collaboration, customer value, or future viability.
The Customer Limit of the Value Chain
The classical Value Chain focuses on internal activities.
Customers do not experience activities. Customers experience outcomes:
quality
reliability
delivery capability
service
trust
user experience
Customers never ask:
Which department delivered this?
Which KPI was met?
Which cost center was responsible?
Customers experience the company as a unified whole.
The 10‑Million‑Dollar Phone Call
Imagine a CEO wins a $10 million contract through a single phone call.
The classical view says:
The CEO won the deal.
The systemic view asks:
What had to exist for that phone call to succeed?
For example:
skilled employees
functioning IT systems
reliable financial data
high product quality
stable processes
existing customer trust
legal certainty
clean and safe work environments
The visible success is rarely the cause. It is the result of a functioning system.
The Infrastructure Limit of the Value Chain
Porter distinguished between value‑creating and supporting activities.
Today, this distinction is increasingly difficult.
Example: IT
Forty years ago, IT could be considered a support function. Today, an IT outage often stops:
ERP systems
communication
logistics
production
reporting
AI systems
IT does not support value creation. IT enables value creation.
Example: Compliance
Compliance may not generate direct revenue. But it prevents:
legal risks
reputational damage
liability cases
trust erosion
Example: Facility Management
Buildings, energy, safety, and infrastructure may not generate revenue. But they enable every other activity.
The Cleanliness Limit of the Value Chain
A cleaner may not generate direct revenue. Yet they influence:
hygiene
health
concentration
work quality
safety
customer impression
A restaurant with poor hygiene loses guests. A manufacturing plant lacking order increases error risks. An office with poor working conditions increases strain and absenteeism.
Methods like:
5S
Lean
Kaizen
made cleanliness and order foundational to sustainable performance.
The Holocratic Limit of the Value Chain
The classical Value Chain thinks in activities and functions. Modern organizations increasingly think in roles.
The central question shifts:
Not:
Which department is more important?
But:
Which role must be fulfilled for the system to function?
This shifts the perspective:
from hierarchy to responsibility
from power to purpose
from structure to capability
The Competence Limit of the Value Chain
The Value Chain asks:
Where does value arise?
Later models like Core Competencies ask:
Which capabilities enable value?
The focus shifts:
from activities to capabilities
from processes to competencies
from units to organizational skill
The Culture Limit of the Value Chain
The greatest performance of an organization rarely arises from individual departments.
It arises from collaboration.
Excessive fragmentation often leads to:
silo thinking
internal politics
blame shifting
bonus conflicts
power struggles
lack of collaboration
The organization begins working against its own interests.
The Supernova Limit of the Value Chain
Every specialization initially creates advantages. Beyond a certain point, internal complexity grows faster than the organization’s ability to manage it.
Symptoms include:
rising bureaucracy
increasing coordination effort
slower decisions
growing target conflicts
declining innovation speed
increasing friction losses
Fragmentation reaches a critical point — an organizational supernova.
Not a collapse. A moment when the limits of the existing logic become visible.
The Fusion Perspective
The next evolutionary step is not further decomposition.
It is fusion.
Fusion does not mean:
less specialization
less expertise
less responsibility
Fusion means:
Reuniting the organization around a shared purpose.
Roles remain. Capabilities remain. Differences remain.
What returns is organizational unity.
Implementing the NextLevel Customer‑Holder Perspective
The classical Value Chain views value creation through activities.
A complementary perspective asks:
What would our most important Customer‑Holders perceive as value?
This shifts the logic:
Activity ↓ Process ↓ Performance ↓ Customer Value ↓ Customer‑Holder Value
The customer becomes the North Star.
Connecting Value Chain and Time‑Value Costing (TVC)
TVC expands the Value Chain.
While classical models distinguish between value‑creating and supporting activities, TVC views all roles as necessary components of value creation.
The question becomes:
Which time was invested to make the outcome possible?
This reveals:
Value arises from the interaction of many roles — not from isolated heroes.
What Remains Relevant About the Value Chain?
The Value Chain remains valuable for:
process analysis
value‑creation analysis
cost analysis
lean initiatives
competitive strategy
process optimization
Which Ideas Should Be Further Developed?
Value rarely arises in isolation.
Local optimization does not improve the whole system.
Customers experience organizations as unified entities.
Infrastructure enables value creation.
Culture shapes performance.
Collaboration becomes a strategic success factor.
Which Assumptions Deserve Critical Examination?
Not every support activity is merely support.
Not every primary activity automatically creates customer value.
Not every KPI improves the company.
Not every specialization increases performance.
And not every fragmentation creates clarity.
The 7 Practical Steps for Leaders & AI Prompts
Step 1: Make the Fragments Visible
Step 2: Adopt the Customer-Holder Perspective
Step 3: Identify Hidden Roles
Step 4: Observe Supernova Signals
Step 5: Make the Customer‑Holder the North Star
Step 6: Prepare Fusion
Step 7: Measure Value‑Creation Capability
The 4 NextLevel Reflection Questions
Reflection Question 1: The Role Question
Which role in our organization is regularly underestimated, even though its absence would significantly impact customer value and performance?
Reflection Question 2: The Fragmentation Question
Where are we currently optimizing sub‑areas more successfully than the overall system?
Reflection Question 3: The Customer Question
Which internal discussions do not interest our customers but still significantly influence their experience?
Reflection Question 4: The Fusion Question
If we founded our company today, would we rebuild the same target systems, departments, and KPIs?
NextLevel Reflection Thought
The Value Chain helped companies make value creation visible.
The more important question for the future is:
How do we maintain the ability to create value sustainably?
As organizations grow more complex, the key is not further specialization — but the ability to reunite specialization into a coherent whole.
Global Model Index & Cross-Language Reference System
# | German Title (DE) | English Title (EN) | Spanish Title (ES) | Japanese Title (JA) |
00 | From Management 1.0 to Enterprise Intelligence | From Management 1.0 to Enterprise Intelligence | De Management 1.0 a Enterprise Intelligence | マネジメント1.0からエンタープライズ・インテリジェンスへ |
01 | SWOT Analyse | SWOT Analysis | Matriz DAFO | SWOT分析 |
02 | Balanced Scorecard | Balanced Scorecard | Cuadro de Mando Integral | バランスト・スコアカード |
03 | Management by Objectives (MbO) | Management by Objectives (MbO) | Dirección por Objetivos (DPO) | 目標による管理(MBO) |
04 | KPI | KPI | KPI | KPI(重要業績評価指標) |
05 | OKR | OKRs | OKRs | OKR(目標と主要な成果) |
06 | DuPont-System / Value Driver Trees | DuPont System / Value Driver Trees | Sistema DuPont / Árboles de Valor | デュポン・システム/価値ドライバーツリー |
07 | Deckungsbeitragsrechnung | Contribution Margin Accounting | Margen de Contribución | 限界利益分析(貢献利益分析) |
08 | 差異分析(予実差異分析) | |||
09 | ||||
10 | ABC原価計算(活動基準原価計算) | |||
11 | Economic Value Added (EVA) | Economic Value Added (EVA) | Valor Económico Añadido (EVA) | EVA(経済的付加価値) |
12 | Net Promoter Score (NPS) | Net Promoter Score (NPS) | Net Promoter Score (NPS) | NPS(ネット・プロモーター・スコア) |
13 | Porter Five Forces | Porter's Five Forces | Las 5 Fuerzas de Porter | ポーターのファイブフォース分析 |
14 | BCG Matrix | BCG Matrix | Matriz BCG | BCGマトリクス |
15 | PESTEL Analyse | PESTEL Analysis | Análisis PESTEL | PESTEL分析 |
16 | Ansoff Matrix | |||
17 | Value Chain Analysis | |||
18 | Core Competencies | Core Competencies | Competencias Core | コア・コンピタンス |
19 | Resource Based View | Resource-Based View (RBV) | Visión Basada en Recursos (RBV) | RBV(資源ベース経営理論) |
20 | Blue Ocean Strategy | Blue Ocean Strategy | Estrategia del Océano Azul | ブルーオーシャン戦略 |
21 | McKinsey 7S | McKinsey 7S Framework | Modelo 7S de McKinsey | マッキンゼー7Sモデル |
22 | Experience Curve | Experience Curve | Curva de Experiencia | 経験曲線 |
23 | Szenarioplanung | Scenario Planning | Planificación de Escenarios | シナリオ・プランニング |
24 | Mendelow Matrix | Mendelow's Matrix | Matriz de Mendelow | メンデローのステークホルダー・マトリクス |
25 | Klassische Budgetierung | Traditional Budgeting | Presupuestación Tradicional | 伝統的予算管理 |
26 | DCF-Modell | DCF Model | Modelo DCF | DCFモデル(割引キャッシュフロー法) |
27 | WACC | WACC | WACC | WACC(加重平均資本コスト) |
28 | CAPM | CAPM | CAPM | CAPM(資本資産価格モデル) |
29 | Zero Based Budgeting | Zero-Based Budgeting (ZBB) | Presupuesto Base Cero (ZBB) | ゼロベース予算 |
30 | Rolling Forecast | Rolling Forecasts | Forecast Rodante | ローリング・フォーキャスト |
31 | CapEx vs. OpEx | CapEx vs. OpEx Allocation | Asignación CapEx vs. OpEx | CapExとOpExの配分 |
32 | LTV/CAC Ratio | LTV/CAC Ratio | Ratio LTV/CAC | LTV/CAC比率 |
33 | Working Capital Management | Working Capital Management | Gestión del Capital de Trabajo | 運転資本管理 |
34 | Statische Liquiditätsplanung | Static Cash Flow Planning | Planificación de Liquidez Estática | 資金繰り計画 |
35 | ISO 31000 / COSO | ISO 31000 / COSO Frameworks | Marcos de Riesgo ISO 31000 / COSO | ISO 31000/COSOリスクマネジメント |
36 | Unternehmensplanung & Finanzmodelle | Corporate Financial Modeling | Modelización Financiera Corporativa | 経営計画と財務モデリング |
37 | Lean Management | Lean Management | Lean Management | リーンマネジメント |
38 | Six Sigma | Six Sigma | Six Sigma | シックスシグマ |
39 | Kaizen | Kaizen | Kaizen | カイゼン |
40 | Theory of Constraints | Theory of Constraints (TOC) | Teoría de las Limitaciones (TOC) | 制約理論(TOC) |
41 | Total Quality Management | Total Quality Management (TQM) | Gestión de la Calidad Total (TQM) | TQM(総合的品質管理) |
42 | Business Process Reengineering | Business Process Reengineering (BPR) | Reingeniería de Procesos (BPR) | BPR(業務プロセス改革 ) |
43 | Stage-Gate | Stage-Gate Innovation | Modelo Stage-Gate | ステージゲート・イノベーション |
44 | Shared Services | Shared Services | Servicios Compartidos | シェアードサービス |
45 | Plankostenrechnung | Standard Cost Accounting | Costes Teóricos / Estándar | 標準原価計算 |
46 | Monatsabschluss & Financial Closing | Financial Close & Monthly Closing | Cierre Contable y Mensual | 月次決算とファイナンシャル・クロージング |
47 | Business Intelligence | Business Intelligence (BI) | Business Intelligence (BI) | ビジネス・インテリジェンス(BI) |
48 | KPI Dashboards | KPI Dashboards | Dashboards de KPIs | KPIダッシュボード |
49 | Predictive Analytics | Predictive Analytics | Analítica Predictiva | 予測分析(Predictive Analytics) |
50 | ERP-Systeme | Enterprise Resource Planning (ERP) | Sistemas ERP | ERP(統合基幹業務システム) |
51 | Scrum | Scrum | Scrum | スクラム |
52 | Kanban | Kanban | Kanban | カンバン |
53 | Digital Transformation | Digital Transformation Frameworks | Transformación Digital | デジタル・トランスフォーメーション |
54 | ADKAR Modell | ADKAR Model | Modelo ADKAR | ADKARモデル |
55 | Kotter Change Model | Kotter's 8-Step Change Model | Modelo de Cambio de Kotter | コッターの変革モデル |
56 | Conway's Law | Conway's Law | Ley de Conway | コンウェイの法則 |
57 | Seismic OS – Resilienz & Erschütterungssteuerung | Seismic OS – Resilience & Shock Management | Seismic OS – Resiliencia y Gestión de Impactos | Seismic OS(レジリエンスと変動対応) |
58 | Galaxy OS – Vernetzte & Ökosystemische Steuerung | Galaxy OS – Networked & Ecosystem Governance | Galaxy OS – Gobernanza de Ecosistemas Red | Galaxy OS(エコシステム型経営) |
59 | Quasar OS – Echtzeit- & KI-Getriebene Intelligenz | Quasar OS – Real-Time & AI-Driven Intelligence | Quasar OS – Inteligencia en Tiempo Real e IA | Quasar OS(リアルタイムAI経営) |
60 | NextLevel Enterprise Architecture | NextLevel Enterprise Architecture | NextLevel Enterprise Architecture | NextLevelエンタープライズ・アーキテクチャ |
NextLevel Statement
The Value Chain was a breakthrough in management thinking because it taught companies to make their work visible. But visibility alone is no longer enough in a world where markets shift faster than planning cycles and where complexity cannot be mastered through further decomposition, but only through intelligent integration.
The future of value creation does not emerge from isolated activities, perfected silos, or increasingly granular KPIs. It emerges where roles, capabilities, and systems interact as a coherent whole — where organizations are not only efficient, but value‑creation capable.
The decisive question is no longer: Which activity creates the most value? but: Which conditions must be in place for the organization as a whole to create value sustainably?
That is where the classical Value Chain ends. And where the future of modern enterprises begins.
Frequently Asked Questions (FAQ)
How do I identify the most critical processes in our value chain?
Start with the customer — not with the org chart.
Ask:
What outcome are customers actually buying?
Which activities must occur for that outcome to exist?
Which processes would immediately harm customer value if they failed?
This approach often reveals a surprising number of indirect or “invisible” processes that are essential for performance.
How do I recognize support processes?
Support processes rarely generate direct revenue, but they enable value creation.
Typical examples include:
IT
HR
Quality management
Compliance
Finance and controlling
Facilities and workplace operations
Procurement
The key question is:
Would performance be impaired if this process failed for an extended period?
If yes, it is a critical support process.
Are support processes less important than core processes?
No. They simply fulfill a different function.
In modern organizations, support processes can be more business‑critical than some operational ones. An outage in IT, cybersecurity, or HR can have greater impact than a disruption in a single operational workflow.
How many support processes should a company have?
As few as possible. As many as necessary.
Every support process should make a measurable contribution to the organization’s ability to perform.
How do I identify unnecessary support processes?
Typical signs include:
no one uses the output
decisions do not improve
the process exists for historical reasons
no visible impact on quality, risk, or customer value
Why do companies become more complex over time?
Because problems are often solved by adding new processes, rules, and approvals — but rarely by removing outdated ones.
This creates organizational layering.
How do I recognize whether our organization is fragmented?
Common symptoms include:
frequent escalations
recurring interface problems
contradictory KPIs
high meeting density
slow decision‑making
internal blame shifting
Why do silos emerge in organizations?
Silos often arise from:
separate goals
separate KPIs
separate budgets
separate bonus systems
People optimize what they are measured and rewarded for — not necessarily what benefits the whole system.
How do I identify KPI conflicts?
A KPI conflict exists when two areas can succeed simultaneously while the company still loses.
Examples:
procurement reduces costs but harms quality
operations maximize utilization but reduce flexibility
sales sells offerings that the organization cannot reliably deliver
What role does organizational culture play in the value chain?
A decisive one.
Even excellent processes fail when:
trust is low
collaboration is weak
knowledge is not shared
mistakes are hidden
Culture determines whether the value chain works in practice.
Why do process‑optimization projects often fail?
Because individual processes are improved without considering the whole system.
Local improvements often create new bottlenecks elsewhere.
What role does Lean Management play in the value chain?
Lean focuses on:
customer value
waste reduction
flow
quality
continuous improvement
Lean complements the Value Chain by strengthening end‑to‑end thinking.
Why are interfaces often more problematic than processes themselves?
Most errors occur at transitions — not within processes.
Transitions between:
departments
individuals
systems
responsibilities
are where misunderstandings, delays, and rework accumulate.
How do I identify the most critical interfaces?
Ask:
Where do most questions arise?
Where do delays occur?
Where do misunderstandings happen?
Where does rework originate?
These points often hold the greatest improvement potential.
What role does IT play in modern value chains?
IT is no longer support. IT is infrastructure.
Without functioning systems, many organizations cannot operate at all.
Why is IT often underestimated?
Because functioning IT is invisible. Only outages reveal how many activities depend on it.
Why is data quality increasingly important?
Poor data leads to:
bad decisions
rework
delays
mistrust
Data quality has become a competitive factor.
How do I recognize duplicate work in the value chain?
Typical signs include:
identical spreadsheets
multiple data sources
redundant approval steps
repeated documentation
When should a process be automated?
When:
the workflow is stable
the benefit is clear
errors can be reduced
sufficient volume exists
Chaos should not be automated.
Why do some ERP systems reinforce silo thinking?
Because they digitize existing organizational boundaries instead of supporting end‑to‑end processes.
How does remote work affect the value chain?
Remote work primarily changes:
communication
knowledge flow
coordination
leadership routines
The underlying value creation often remains intact — and can even become more efficient.
Why is talent shortage a value‑chain problem?
Missing capabilities directly affect:
quality
speed
innovation
customer value
How does poor error culture affect the value chain?
Mistakes are hidden instead of solved.
This leads to:
repeated errors
higher costs
poorer decisions
slower learning
How do I recognize a healthy error culture?
Employees speak openly about problems. The focus is on causes — not blame.
What is value‑creation capability?
Value‑creation capability describes an organization’s ability to generate customer value sustainably.
Not just current performance — but the ability to perform in the future.
Why is value‑creation capability becoming more important than value creation itself?
Because markets, technologies, and customer expectations change faster than traditional planning cycles.
Adaptability becomes more important than short‑term efficiency.
How do I identify critical roles in the value chain?
Ask:
Which capabilities would be missing if this role disappeared tomorrow?
This reveals underestimated functions.
Should every role be measured by the same KPIs?
Not necessarily.
But every role should support the same overarching purpose: customer value.
Why are bonus systems often problematic?
Because people optimize what they are rewarded for.
Poorly designed incentives create local successes instead of shared ones.
What role does the Customer‑Holder play in the value chain?
The Customer‑Holder becomes the shared North Star.
Instead of optimizing each area in isolation, the organization aligns around:
What value do we actually create for our customers?
How can an organization overcome fragmentation?
Through:
shared goals
shared responsibility
transparent communication
end‑to‑end process thinking
customer‑oriented decisions
Which question should every leader ask regularly?
Which of our current rules, KPIs, processes, or structures truly help our customers — and which mainly help ourselves?
This question often reveals more improvement potential than many workshops.
Which question should every leader explore with a KI?
If we rebuilt our company today without org charts, departmental boundaries, or historical power structures, which roles, capabilities, and processes would truly be required to create sustainable customer value?
And immediately afterward:
Which of our current structures strengthen that purpose — and which primarily create complexity, friction, and fragmentation?
This is where the classical Value Chain ends. And where the discussion about value‑creation capability, culture, collaboration, fusion, and the future of modern organizations begins.
