Industry and Competitive Analysis WHEN AN INDUSTRY WITH

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Industry and Competitive Analysis WHEN AN INDUSTRY WITH A REPUTATION FOR DIFFICULT ECONOMICS MEETS

Industry and Competitive Analysis WHEN AN INDUSTRY WITH A REPUTATION FOR DIFFICULT ECONOMICS MEETS A MANAGER WITH A REPUTATION FOR EXCELLENCE, IT IS USUALLY THE INDUSTRY THAT KEEPS ITS REPUTATION INTACT. (WARREN BUFFET)

sa nd er Pe D ac So eal ka ft ers rf um ge

sa nd er Pe D ac So eal ka ft ers rf um ge D e, Ph d S rink Co a o s sm rm ftw a a Ad eti ce re ve cs, utic rt To al is in ile s t D g A rie is g ti en s Se lled cie M M ed mic Sp s en ic on iri 's al d ts an In uc d str tor Bo u s ys me H ' C nt ou lo s se th ho in g ld T A Ch i ild Ma ppl res D lt B ian H ay C ev ces ou e se are rag ho Se es ld rv Fu ice s Ir D rnit ru u on an Gro g S re to d c Co Ste ery res ok el St ie Fo ore sa u s nd nd r M Cr ies a W obil cke in e H rs e an om B En ak d e gi er Bra s ne y n s a Pr dy n od La Bo d T uc bo ok ur ts b O rato Pu ine il b r li s an y d Eq shin G u So as ipm g ft Ma en D rin chi t k ne Ca Kn Bo ry ta itt ttli lo g, in ng g M M ai ill l-O rd Ho s er te H ls ou s Ai es rli ne s ep Br ok Pr y rit cu Se 45. 00% 40. 00% Average ROIC, 1992 -2006 Average industry ROIC in the U. S. 14. 9% 35. 00% 30. 00% 25. 00% 20. 00% 15. 00% 10. 00% 5. 00% 0. 00%

A Three-Dimensional Business Landscape (Ghemawat, 2001)

A Three-Dimensional Business Landscape (Ghemawat, 2001)

Industry Analysis: Tools and Frameworks 1. 2. 3. 4. 5. Supply and Demand Value

Industry Analysis: Tools and Frameworks 1. 2. 3. 4. 5. Supply and Demand Value Added Driving Forces Porter’s Five Forces Analysis Value Net and Complementors

Simple Economic Tools for Strategic Analysis (Corts and Rivkin, 2000) Monetary Units ($) Supply

Simple Economic Tools for Strategic Analysis (Corts and Rivkin, 2000) Monetary Units ($) Supply Equil. Price Demand Equil. Quantity Physical Units (q)

Demand Analysis: Key Concepts 1. Willingness to pay a) b) c) d) 2. Market

Demand Analysis: Key Concepts 1. Willingness to pay a) b) c) d) 2. Market Demand a) 3. 4. Tastes or needs Income or wealth Substitute goods Complementary goods Arraying individual buyers in order of their willingness to pay Demand Segments and Price Discrimination Price Sensitivity, or Elasticity of Demand

Supply Analysis: Key Concepts Supply in the short run 1. a. b. Fixed costs

Supply Analysis: Key Concepts Supply in the short run 1. a. b. Fixed costs Marginal costs 1. 2. Supply (Q) up to p = MC c. 2. Cash costs Opportunity Costs Supply in the long run a. Fixed costs 1. Opportunity costs of capital

Price Reinvest and stay in Business Marginal Cost Average Cost Stay in but do

Price Reinvest and stay in Business Marginal Cost Average Cost Stay in but do not reinvest Shut Down Immediately Units

Value Added - A Simple Game Imagine there are 30 students in this class.

Value Added - A Simple Game Imagine there are 30 students in this class. A black card is passed out to each student.

Value Added - A Simple Game Imagine the instructor holds 30 red cards.

Value Added - A Simple Game Imagine the instructor holds 30 red cards.

Value Added - A Simple Game The Dean has agreed to pay $100 for

Value Added - A Simple Game The Dean has agreed to pay $100 for each pair (1 black + 1 red) of cards. $100

Value Added - A Simple Game How much would you be willing to accept

Value Added - A Simple Game How much would you be willing to accept for your black card? Imagine the instructor offered you $20. Would you accept this offer?

Value Added – A Slight Modification Imagine the same game except now the instructor

Value Added – A Slight Modification Imagine the same game except now the instructor only has 27 red cards. There are still 30 black cards for 30 students. How much would you accept for your black card?

YOUR ADDED VALUE = The size of the pie when you are in the

YOUR ADDED VALUE = The size of the pie when you are in the game Minus The size of the pie when you are out of the game (Brandenburger and Nalebuff, Coopetition, 1996)

Added Value in the card game = When the instructor is in the game,

Added Value in the card game = When the instructor is in the game, the value of the game is $3, 000. When the instructor is not in the game the value of the game is $0. When there are 30 black and 30 red cards, each student has an added value of $100 because without each student a match cannot be made and $100 is lost.

Added Value in the card game = When there are 30 black and 27

Added Value in the card game = When there are 30 black and 27 red cards, the instructor has an added value of $2, 700 and an individual student has an added value of $0. Since 3 students will end up without a match, no one student is essential to the game. The total value of the game with 30 students is $2, 700; the total value of the game with 27 students is $2, 700.

What is your added value? Ask yourself the following question: If I enter this

What is your added value? Ask yourself the following question: If I enter this game, what do I add? That is how much you can bargain for.

Value Added Sales Revenue Material Cost 0% 100% Raw Material Components Assembly Distrib. Retail

Value Added Sales Revenue Material Cost 0% 100% Raw Material Components Assembly Distrib. Retail

Value Added of a UNR Education (U. S. Census data, 2005) H. S. Dropout

Value Added of a UNR Education (U. S. Census data, 2005) H. S. Dropout High School Bachelors Advanced Avg. Annual Income $18, 734 $27, 915 $51, 206 74, 602 Of those age 25 or over surveyed, 85% have completed high school and 28% have a bachelors degree…both record highs.

Cost of UNR Education Undergraduate = $83 * 128 = $10, 624 MBA =

Cost of UNR Education Undergraduate = $83 * 128 = $10, 624 MBA = $111 * 51 = $5, 661 Assume we took UNR out of the game, what would you do?

Driving Forces What is causing the industry to change? "An Update on Moore’s Law“

Driving Forces What is causing the industry to change? "An Update on Moore’s Law“

Moore’s Law The observation made in 1965 by Gordon Moore, co- founder of Intel,

Moore’s Law The observation made in 1965 by Gordon Moore, co- founder of Intel, that the number of transistors per square inch on integrated circuits had doubled every year since the integrated circuit was invented. Moore predicted that this trend would continue for the foreseeable future. In subsequent years, the pace slowed down a bit, but data density has doubled approximately every 18 months, and this is the current definition of Moore's Law, which Moore himself has blessed. Most experts, including Moore himself, expect Moore's Law to hold for at least another two decades.

Five Forces Framework Threat of Entry Supplier Power Rivalry Threat of Substitutes Buyer Power

Five Forces Framework Threat of Entry Supplier Power Rivalry Threat of Substitutes Buyer Power

Michael Porter Speaks on the Five Forces… http: //aok. hbsp. harvard. edu/educators/hbsp/educa tors/article/index 2.

Michael Porter Speaks on the Five Forces… http: //aok. hbsp. harvard. edu/educators/hbsp/educa tors/article/index 2. html

1. Rivalry Intense rivalry among firms in an industry reduces average profitability.

1. Rivalry Intense rivalry among firms in an industry reduces average profitability.

What causes rivalry to be strong or weak? 1. Number and relative size of

What causes rivalry to be strong or weak? 1. Number and relative size of competitors Concentration ratio= % of total industry sales accounted by the 4 largest firms Logging = 18% Cigarettes = 85%

What causes rivalry to be strong or weak? Herfindahl Index - a measure of

What causes rivalry to be strong or weak? Herfindahl Index - a measure of the balance in an industry HI = 10, 000 * (The Sum of (the square of each firms market share)) Example: 3 firms with market shares of 0. 50, 0. 25 HI = 10, 000 ((0. 50)^2+(0. 25)^2) = 3750 = 0 Perfectly Competitive = 10, 000 Monopoly >1800 Industries with reduced rivalry

2. Buyer Power Size and concentration of customers

2. Buyer Power Size and concentration of customers

3. Supplier Power Differentiation Switching Costs Intel Gets Fined May 2009

3. Supplier Power Differentiation Switching Costs Intel Gets Fined May 2009

4. Threat of Substitutes Price to Performance Ratios Switching Costs

4. Threat of Substitutes Price to Performance Ratios Switching Costs

5. Threat of Entry

5. Threat of Entry

Entry Barriers Brand Identity

Entry Barriers Brand Identity

Minimum Efficient Scale Unit Costs Entry Point MES Volume

Minimum Efficient Scale Unit Costs Entry Point MES Volume

Entry Barriers Economies of Scale Minimum Efficient Scale- (MES) is the smallest volume for

Entry Barriers Economies of Scale Minimum Efficient Scale- (MES) is the smallest volume for which the unit costs reach a minimum. Example. MES is the following industries is: Cigarettes 20. 0% Tires 3. 0%

Co-opetition - The Value Net Customers Competitors Company Suppliers Complementors

Co-opetition - The Value Net Customers Competitors Company Suppliers Complementors

Competitive Position of Major Companies / Strategic Groups Price Rolls Royce Jaguar Camry Accord

Competitive Position of Major Companies / Strategic Groups Price Rolls Royce Jaguar Camry Accord Tauras Yugo Kia Quality

Other Steps… 6. 7. 8. Competitor Analysis Key Success Factors Overall Industry Attractiveness

Other Steps… 6. 7. 8. Competitor Analysis Key Success Factors Overall Industry Attractiveness

Industry Importance: Empirical Evidence 1. Rumelt, R. (1991). How much does industry matter? Strategic

Industry Importance: Empirical Evidence 1. Rumelt, R. (1991). How much does industry matter? Strategic Management Journal, 12: 167 -185. "To the extent that accounting returns measure the presence of economic rents, the results obtained here imply that by far the most important sources of rents in US manufacturing businesses are due to resources or market positions that are specific to particular business-units rather than to corporate resources or to membership in an industry. Put simply, business units within industries differ from one another a great deal more than industries differ from one another.

Rumelt (1991) Approximate Effects on Variance in Return on Capital: Variable % of Variance

Rumelt (1991) Approximate Effects on Variance in Return on Capital: Variable % of Variance Explained Corporate Effects 0. 8% Stable Business Effects 8. 3% Stable Business-Unit Effects 46. 4%

Porter & Mc. Gahan (1997) Approximate Effects on Variance in Return on Capital: Variable

Porter & Mc. Gahan (1997) Approximate Effects on Variance in Return on Capital: Variable % of Variance Explained Year 2% Industry 19% Corporate Parent 4% Business Specific Effects 32%

Industry Importance: Empirical Evidence 2. Mc. Gahan, A. , Porter, M. (1997). How much

Industry Importance: Empirical Evidence 2. Mc. Gahan, A. , Porter, M. (1997). How much does industry matter, really? Strategic Management Journal, v 18, pp. 15 -30. We also find that the importance of the effects differ substantially across broad economic sectors. Industry effects account for a smaller portion of profit variance in manufacturing but a larger portion in lodging/entertainment, services, wholesale/retail trade, and transportation.