Introduction to Business Management
A foundational understanding of business management tailored for Computer Science & AI students. It integrates classical management principles with the dynamics of the digital and AI-driven economy, enabling students to comprehend and design business models and strategies in a technological context. This page mirrors the official IE University syllabus; the interactive demos visualise its core quantitative ideas.
The course runs across five thematic modules plus a wrap-up, building from the economic foundations of the firm (M1) to strategic analysis tools (M2), the design of organizations and leadership (M3), the functional machinery of a company (M4) and finally how tech businesses scale and go global (M5). It closes with an executive masterclass, a full investor pitch and a comprehensive exam. Throughout, classical frameworks (Porter, the BCG matrix, the 7-S model) are read through the lens of AI and data — how each tool changes when software and machine learning are part of the business.
Professor profile: 30+ years of IT leadership (co-founder of Oracle Ibérica; CEO of Panda Security; President EMEA & LATAM at Micro Focus), now IT & cyber-security industry expert at One to One Corporate Finance, with fifteen years teaching Strategy at IE Business School.
Learning objectives
What you should be able to do by the end of the course.
- Foundations. Understand foundational principles of management and the role of businesses in modern economies — why firms exist, how they create value, and how economic systems and market structures shape them.
- Business models. Analyze and design business models using traditional and modern frameworks (Business Model Canvas, Lean Startup, value-chain thinking), and iterate them from idea to validated MVP.
- AI & digital. Recognize how AI and digital technologies influence strategy, decision-making, and organizational structure — both as a source of competitive advantage and as a governance/ethics challenge.
- Strategic diagnosis. Assess internal and external environments using tools like SWOT, PESTEL, and Porter's Five Forces, and translate the diagnosis into a defensible strategic position.
- Functional fluency. Understand the functional areas of the firm (marketing, sales, R&D, finance, HR, legal, IT/MIS) and how they interconnect and align with strategy.
- Application. Apply concepts through practical projects, a full business plan, an investor pitch, and real-world case studies (HBS cases, technical notes, IE Library readings).
Methodology & assessment
IE's method is collaborative, active and applied — 150 hours total student dedication.
The professor's role is to lead and guide students toward the learning objectives through a mix of lectures, case discussions, in-class exercises, asynchronous work and group projects. The course relies heavily on the case method: you are expected to read the assigned case and materials before each session, form an opinion, and defend it in class — expect cold calling.
| Learning activity | Weight | Hours |
|---|---|---|
| Lectures | 23.3% | 35.0 |
| Discussions | 10.0% | 15.0 |
| Exercises · async · field work | 16.7% | 25.0 |
| Group work | 16.7% | 25.0 |
| Individual study | 33.3% | 50.0 |
| Total | 100% | 150.0 |
A minimum of 40% on the final exam is required to pass, regardless of other components. An 80% attendance rule applies. GenAI use is not permitted unless stated by the instructor.
Deliverable: sustained, prepared contribution to case and reading discussions across the semester. How it's evaluated on three criteria: (1) depth and quality of contribution — insight, rigorous use of case evidence, consistency and realism of argument; (2) moving peers' understanding forward — relevance, timing, clarity and a spirit of involvement; (3) frequency — clearing a threshold of contributions so quality can be judged, without sacrificing quality for "airtime". Cold calling is used; students uncomfortable speaking in class for personal or cultural reasons should tell the professor privately in the first week.
Deliverable: a group project — a business model (Groupwork 1, S9) and a complete business plan (Groupwork 2, S29) — each presented in class and handed in written form, plus additional group work and exercises through the term. How it's evaluated: the project asks you to apply course concepts to a practical problem; quality of analysis, application of frameworks, written deliverable and presentation all count. Detailed project briefs are provided at the start of the course.
Deliverable: an individual exam (S30) of essay and semi-structured questions. How it's evaluated: it tests your level of study, your correct use of the tools and frameworks taught in class, and your personal elaboration and critical thinking. Pass rule: a minimum of 40% (40 points) on the exam is mandatory to pass the course regardless of the other components.
Attendance & re-sit rules. An 80% attendance rule applies — students who fall below it fail both the ordinary and extraordinary (June/July) calls and must re-enroll the next academic year. Students have four chances across two academic years to pass. The June/July re-sit is a single comprehensive exam (continuous evaluation is not carried over), graded out of a maximum of 8.0 ("notable"); a retake exam in a later year may reach 10.0. Behavior, attendance and ethics follow IE University's published codes.
Program — 5 modules · 30 sessions
The full session-by-session structure from the syllabus, with a short explanation of each topic, the core framework or definition where technical, and the assigned readings annotated. Demos from the home page are cross-referenced where relevant.
Module 1 — Foundations of Business
Sessions 1–2Evolution of business models, economic systems & market structures, public vs private enterprise.
Sets the historical and economic stage: where businesses came from, the kinds of markets they compete in, and who owns them. It gives you the vocabulary — markets, competition, ownership — that every later module builds on.
- Place a firm in its historical era and explain how the role of business in society has shifted.
- Distinguish the main market structures and predict how each shapes pricing and competition.
- Compare public, private and hybrid (PPP) ownership models on efficiency and innovation.
Introduce objectives, expectations and evaluation; historical overview from ancient trade to the digital economy.
- Course overview & methodology — how the case method, participation and grading work, so you know what "prepared" means.
- Key business eras — Pre-industrial (trade & craft), Industrial Revolution (mechanised mass production), Management Revolution (the professional manager and the modern corporation) and the Digital Age (software, platforms, AI). Each era redefined what a "business" is.
- The role of business in society over time — from local provisioning to global value creation and its social responsibilities.
Analyze different market structures and ownership models.
- Market structures — perfect competition (many sellers, identical goods, price-takers), monopoly (one seller sets price), and oligopoly (a few interdependent firms). Structure determines how much pricing power a firm has.
- Public vs private companies — trade-offs in efficiency and innovation: private firms chase profit and move fast; public bodies pursue universal access and stability.
- Public–private partnerships (PPPs) — collaborations that share risk and capability (e.g. infrastructure, health, defence tech).
Module 2 — Strategic Thinking & Tools
Sessions 3–10Strategy fundamentals; SWOT, PESTEL, Porter's Five Forces; Lean Startup & Business Model Canvas; Blue Ocean & AI.
The analytical core of the course. You learn what strategy is, the standard toolkit for diagnosing a business and its environment, and the modern frameworks for designing and iterating a business model — then apply them in Groupwork 1 and the half-term exam.
- Define strategy and distinguish corporate, business and functional levels.
- Run a SWOT, PESTEL and Five Forces analysis on a real company and read the results together.
- Design a business model on the Canvas, validate it Lean-Startup style, and pursue value innovation (Blue Ocean).
- Map a value chain and use life-cycle / portfolio (BCG) frameworks to choose growth strategies.
Introduce strategic thinking and the role of strategy in business success.
- What strategy is — a coherent set of choices about where to compete and how to win; not the same as operational effectiveness (doing the same things better).
- Competitive advantage & positioning — a sustainable edge comes from either lower cost or differentiation that customers value and rivals can't easily copy.
- Levels of strategy — corporate (which businesses to be in), business (how to compete in one market), functional (how each department supports the plan).
Learn strategic analysis frameworks for diagnosing businesses.
- SWOT — internal Strengths/Weaknesses and external Opportunities/Threats; a quick synthesis grid, best used to match strengths to opportunities.
- PESTEL — scans the macro-environment along six axes: Political · Economic · Social · Technological · Environmental · Legal.
- Porter's Five Forces — industry attractiveness from rivalry, supplier power, buyer power, threat of substitutes, threat of new entrants. The weaker these forces, the more profit the industry can sustain.
Innovation-driven strategy and the role of AI in strategic positioning.
- Value innovation — break the cost/differentiation trade-off by raising buyer value and lowering cost at the same time.
- Eliminate–Reduce–Raise–Create (ERRC) grid — the practical tool: which factors to drop, dial down, dial up, or invent to open uncontested market space.
- Red vs blue oceans — red = fight over existing demand; blue = create new demand. AI for advantage — machine learning as a data-driven moat in prediction, personalization and automation.
Understand how to design and iterate business models.
- Business Model Canvas — one page, nine blocks: customer segments, value propositions, channels, customer relationships, revenue streams, key resources, key activities, key partnerships, cost structure.
- Lean Startup & MVP — build the smallest thing that tests your riskiest assumption, measure, learn, repeat (the Build–Measure–Learn loop).
- Iteration & pivoting — change one element of the model when evidence says the current bet is wrong, without abandoning the vision.
Understand internal operations and how businesses create value.
- Porter's Value Chain — primary activities (inbound logistics, operations, outbound logistics, marketing & sales, service) and support activities (firm infrastructure, HR, technology, procurement) that together produce margin.
- Cost drivers & differentiation — find where in the chain you can be cheaper, or distinctively better, than rivals.
- Business process modelling & re-engineering — map how work actually flows, then redesign it (often with software/automation) to cut waste.
Analyze products and units using life-cycle and portfolio planning frameworks.
- Product Life Cycle (PLC) — introduction → growth → maturity → decline; each phase needs different pricing, marketing and investment.
- BCG Growth–Share Matrix — classify units on market growth × relative share: Stars (high/high), Cash Cows (low growth/high share), Question Marks (high growth/low share), Dogs (low/low). Cash cows fund stars and question marks.
- Growth strategies (Ansoff) — market penetration, market development, product development, diversification. Economies of scale lower unit cost as volume grows.
Present and defend a business-model proposal; peer and instructor feedback.
- Team presentations of a Business Model Canvas built with the Module 2 toolkit.
- Peer & instructor feedback on coherence, market logic and feasibility.
- Reflection on the modelling process — what you'd pivot and why.
Mid-course assessment of strategy fundamentals and the analytical toolkit from Modules 1–2.
Module 3 — Organizational Design, Leadership & Governance
Sessions 11–15Corporate governance, strategy implementation & the 7-S model, structures, culture & responsible AI, leadership.
Strategy only matters if it is implemented. This module moves from "what to do" to "how to organize and lead to actually do it" — governance at the top, structure and culture in the middle, and motivation and decision-making at the human level.
- Explain corporate governance and the board–CEO–shareholder relationship.
- Use the 7-S model and a balanced scorecard to align and measure strategy execution.
- Choose an organizational structure and read a company's culture (incl. Hofstede's dimensions).
- Apply leadership styles and motivation theories, and weigh rational vs intuitive decisions — including responsible-AI concerns.
Fundamentals of corporate governance and how board/CEO relationships shape strategic direction and accountability.
- Corporate governance fundamentals — the system of rules and incentives by which a company is directed and held accountable to its owners.
- Responsibilities of the Board — set strategy direction, hire/oversee the CEO, ensure controls and ethics.
- CEO–Board–shareholder relationship — the agency problem: aligning managers' incentives with owners' interests.
Translate strategy into action by aligning purpose, leadership, systems and structure.
- Strategic direction — defining purpose, vision, values and goals that give the organization a north star.
- McKinsey 7-S — align seven elements: Strategy · Structure · Systems · Shared values · Style · Staff · Skills. The "hard" three plus four "soft" elements must reinforce each other.
- Strategic management in dynamic environments — and measuring it with a Balanced Scorecard (financial, customer, internal-process, learning perspectives).
Understand how organizations are structured to align strategy and execution.
- Functional (grouped by skill — efficient, but siloed), divisional (by product/region — accountable, but duplicative), matrix (dual reporting — flexible, but ambiguous).
- Team-based & networked organizations — flatter, project-driven forms common in tech and platform firms.
- Trade-offs — every structure optimises something (speed, control, cost) at the expense of another.
Cultural and ethical responsibilities in global and tech-intensive environments.
- Organizational culture & Hofstede's 6-D model — culture as "the way we do things here", compared across nations on dimensions like power distance, individualism and uncertainty avoidance.
- Ethics in management & leadership — doing right by stakeholders, not only what's legal.
- Responsible AI — managing bias, transparency and accountability in systems that make or inform decisions.
The human side of management and effective leadership.
- Leadership styles & effectiveness — situational fit matters more than one "best" style.
- Motivation theories — Maslow (needs hierarchy), Herzberg (hygiene vs motivators), McClelland (achievement, affiliation, power).
- Rational vs intuitive decision-making — when to analyse exhaustively and when expert intuition is faster and good enough.
Module 4 — Functional Areas of Business
Sessions 16–22Marketing, sales, R&D, finance, HR, legal and IT/MIS — and how AI & analytics transform each function.
A tour of the firm's functional machinery — what each department does, the key tools and metrics it uses, and how data, analytics and AI are reshaping it. The recurring theme: every function is becoming data-driven, and they only create value when aligned with strategy and with each other.
- Describe the role and core metrics of marketing, sales, R&D, finance, HR, legal and IT/MIS.
- Read a basic income statement, balance sheet and cash flow, and compute a break-even point.
- Explain how analytics/AI and systems (CRM, ERP, MIS) transform each function.
- Identify the main legal/IP/data risks a tech business faces.
Modern marketing practices and how digital tools transform engagement.
- Marketing's role in value creation — understanding and shaping demand, not just promotion.
- Digital channels — SEO, content, email and social, measured by funnel and engagement metrics.
- Segmentation, targeting & personalization (STP) — divide the market, pick segments, tailor the offer; AI pushes this toward one-to-one personalization.
Explore the sales process and managing it with technology.
- B2B vs B2C — longer, multi-stakeholder, relationship sales vs shorter, higher-volume consumer sales.
- Sales funnel & KPIs — awareness → interest → decision → action; track conversion rate, pipeline, win rate, average deal size and sales cycle length.
- CRM & sales automation — systems (e.g. Salesforce) that record relationships and automate follow-up.
How businesses manage research and development.
- Stages of innovation — ideation → prototyping → testing, with structured gates between them.
- Open innovation & collaboration — sourcing ideas from outside (partners, users, academia), not only in-house.
- Tech trends in R&D — AI and software shorten cycles and enable rapid experimentation (Industry 4.0, smart agents).
Financial decision-making within organizations.
- Three statements — income statement (profit over a period), balance sheet (assets = liabilities + equity at a point in time), cash flow (cash in/out).
- Budgeting & variance analysis — plan vs actual, and explaining the gap.
- Profitability & break-even — the volume at which revenue covers all costs: BEP = Fixed costs ÷ (Price − Variable cost per unit).
The evolving role of HR in talent development and analytics.
- Recruitment, onboarding & retention — the talent lifecycle and the cost of losing good people.
- Employee experience & performance evaluation — engagement as a driver of output.
- HR analytics & predictive modeling — using data to forecast attrition, hiring needs and performance.
Legal and regulatory issues affecting businesses, especially in tech.
- Intellectual property — patents (inventions), trademarks (brand), copyright (creative/code works); can you even patent a business model?
- Data protection & privacy (GDPR) — legal basis, consent, data-subject rights — critical for any data/AI business.
- Compliance & risk management — building processes so the firm stays within the rules.
The strategic role of information systems in business management.
- Management Information Systems (MIS) — structure and goals: turning raw data into decisions for managers.
- IT as enabler — automation, integration (ERP) and analytics across the whole value chain.
- Digital infrastructure & transformation — re-platforming the business around software and data.
Module 5 — Digital Transformation & Globalization
Sessions 23–26Scaling tech businesses, platform & SaaS economics, the gig economy, internationalization and the investor pitch.
How modern tech firms grow: the economics of scaling and SaaS, platform and gig-economy models, and going international — then how to package it all into a business plan and pitch it to investors. This module feeds directly into Groupwork 2.
- Distinguish growth from scaling and reason about SaaS unit economics and product-market fit.
- Compare platform, subscription and gig-economy business models.
- Choose an international entry mode given risk and resources.
- Structure and deliver a persuasive investor pitch.
How startups and tech firms manage rapid growth.
- Growth vs scaling — growth adds revenue and cost proportionally; scaling adds revenue much faster than cost.
- SaaS unit economics — the customer lifecycle measured by CAC (acquisition cost), LTV (lifetime value), churn and MRR; a healthy SaaS aims for LTV/CAC > 3.
- Product-market fit — the point where the market pulls the product out of you; scale only after it's reached.
New business models and how technology enables decentralized participation.
- Subscription & SaaS models — recurring revenue and the shift from owning to accessing.
- Platform / network-effects models — value rises as more participants join both sides of a marketplace.
- The gig economy — flexibility and scalability for firms, with labour and regulatory challenges.
How businesses scale globally and tailor strategy for international markets.
- Entry modes — exporting (low commitment/risk) → franchising → joint ventures → wholly-owned subsidiaries (high commitment/control).
- Risk & complexity — currency, regulation, culture and coordination costs rise with commitment.
- Positioning abroad — how much to standardise globally vs adapt locally ("asset-light" vs heavy presence).
Structure a compelling business plan and communicate it through a professional investor pitch.
- Plan components — opportunity, execution, financials and risk.
- Formats — executive summary, full plan, and pitch deck (the right artefact for the right audience).
- Persuasive pitch — an 11-slide model, storytelling and a clear call to action.
- Workshop — teams refine and practise a 2-minute elevator pitch / key slides, with in-class mini-pitch and peer feedback.
Final Wrap-up
Sessions 27–30Industry masterclass, course closure, final group presentations and the final exam.
The synthesis stretch: a guest executive shows how AI creates competitive advantage in practice, the course is tied together, teams deliver their full business plans, and the comprehensive final exam is sat.
Learn from an executive how their company uses technology and AI for competitive advantage.
- A real-world case from industry tying together strategy (M2), execution (M3), functions (M4) and scaling (M5) — seen through the AI lens that runs across the whole course.
Consolidate the course's frameworks and connect them into a single mental model of the firm.
Teams present a complete business plan with pitching, peer reviews and feedback (counts toward group-assignment grade).
Comprehensive individual exam — essay and semi-structured questions; min. 40% required to pass the course.
Key concepts — glossary
Core terms that recur across the course, defined briefly. Use this as a revision checklist.
Annotated bibliography
The course's named books, cases, technical notes and articles, each with a one-line note on what it covers and the sessions it supports.
- Samuelson, P. & Nordhaus, W. — Economics / Microeconomics (McGraw-Hill).Standard intro-economics reference for economic systems and market structures. S1, S2
- Mann, Geoff (2019) — In the Long Run We Are All Dead.Keynesianism, political economy and revolution — context for the role of business in society. S1
- Bain & Company — 3,000 Years of Business History in Two Minutes.Visual sweep of business eras from pre-industrial to digital. S1
- HBS Case 119007 — The Robin Hood Army.A moneyless, volunteer-run organization — probes what truly makes an organization function. S2
- IE Technical Notes (video) — What is Strategy? (STR020210), Industry Evolution (STR020221), Disruptive Change (STR020236), Strategy Archetypes (STR020235).Short primers on strategy fundamentals. S3
- HBS H054I3 — Are Your Company's Strengths Really Weaknesses?Critical take on SWOT; pairs with the analysis-frameworks session. S4
- Smart Insights / B2U / Mind Tools — Five Forces, PESTEL & SWOT how-tos.Practical guides for running each diagnostic framework. S4
- Kim, W. C. & Mauborgne, R. — Blue Ocean Strategy (selected chapters).Value innovation and the Eliminate-Reduce-Raise-Create grid. S5
- HBR — AI-Powered Strategy: How Companies Use Machine Learning to Compete.ML as a source of data-driven competitive advantage. S5
- Strategyzer — Business Model Canvas Explained; Ries, E. — The Lean Startup; Dropbox MVP case.Designing, validating and iterating business models. S6
- Porter, M. (1985) — Competitive Advantage (Ch. 1).The original value-chain framework and sources of advantage. S7
- HubSpot — Value Chain Analysis; YouTube — Porter's Value Chain.Applied value-chain analysis. S7
- BCG — What Is the Growth-Share Matrix?; IE notes — Life Cycle (STR020214), Economies of Scale (STR020217).Portfolio planning, product life cycle and scale economics. S8
- PwC Governance Insights Center — The Governance Divide (2017 Directors Survey); HBR — Role of Boards in Startups.Board responsibilities and board–investor relations. S11
- HBS R0507Q — The Balanced Scorecard; McKinsey — 7-S Framework; SmartSheet — Decision-Making guide.Translating and measuring strategy execution. S12
- HBS 491083 — Note on Organizational Structure.Comparison of functional, divisional and matrix forms. S13
- Hofstede — 6-D Model of National Culture; SAGE Open (2015) — Intercultural Communication; WEF — Responsible AI Principles.Culture, ethics and responsible AI. S14
- HBS R1006F — The Coherence Premium; HBS 706424 — Irizar in 2005.Leadership, coherence and a non-hierarchical cooperative model. S15
- Kotler, P. (2016) — Marketing 4.0; Forbes — The Future of Marketing is Personalization; AMA.Digital marketing, channels and personalization. S16
- Case — Salesforce and the Evolution of CRM; HubSpot — Sales Metrics That Matter.Sales funnels, CRM and KPIs. S17
- Kelley & Littman — The Art of Innovation (IDEO); HBR — How Companies Accelerate Innovation; Hoffmann — Smart Agents for Industry 4.0.R&D, design thinking and innovation in tech. S18
- Abascal, E. & Aguirreamalloa, X. (2012) — Finance for Managers.Financial statements, budgeting and break-even. S19
- HBS H04WQI — Is HR the Most Analytics-Driven Function?; HBS SCM102 — Two Brothers, Two Methods; Fournier — The Manager's Path.People analytics and talent strategy. S20
- HBS IN1127 — Axiom: Law Redefined; HBS F00401 — Can You Patent Your Business Model?; Dutfield & Suthersanen (2015) — Global IP Law.IP, data protection and compliance. S21
- Laudon & Brabston (2005) — Management Information Systems; ITIC.MIS and IT as a business enabler. S22
- Croll & Yoskovitz — Lean Analytics; TechCrunch — Growth vs. Scaling.SaaS metrics, unit economics and scaling. S23
- Deloitte — The Rise of the Platform Economy; Forbes — Services Are Eating Software; Uber/Airbnb/Spotify cases.Platform, subscription and gig-economy models. S24
- IE note — Internationalization Strategies (STR020233); BCG — When Asset Light Is Right.International entry modes and global strategy. S25
- Sequoia Capital — 10-Slide Pitch Deck; Guy Kawasaki — The Art of the Pitch; HBS — Create an Effective Presentation.Business-plan structure and investor pitching. S26, S29