Csac10[1].p

CSAC10 1/13/07 9:24 Page 261

IV
BUSINESS
S T R AT E G I E S
IN
DIFFERENT
I N D U S T RY
CONTEXTS

10 Industry Evolution and Strategic Change

11 Technology-based Industries and the Management of Innovation

12 Competitive Advantage in Mature Industries

261

CSAC10 1/13/07 9:24 Page 263

10
Industry Evolution and
Strategic Change

No company ever stops changing . . . Each new generation must meet
changes – in the automotive market, in the general administration of the
enterprise, and in the involvement of the corporation in a changing world.
The work of creating goes on.
—ALFRED P. SLOAN JR., PRESIDENT OF GENERAL MOTORS 1923–37,
CHAIRMAN 1937–56

OUTLINE

l Introduction and Objectives l Organizational Adaptation and
Change
l The Industry Life Cycle Evolutionary Theory and
Demand Growth Organizational Change
Creation and Diffusion of Knowledge The Sources of Organizational
How General Is the Life Cycle Pattern? Inertia
Empirical Evidence on Organizational
l Structure, Competition, and Success Adaptation
Factors over the Life Cycle Managing Organizational Change
Product Differentiation Shaping the Future
Organizational Demographics and
Industry Structure l Summary
Location and International Trade
The Nature and Intensity of Competition l Self-Study Questions
Key Success Factors and Industry
Evolution l Notes

263

CSAC10 1/13/07 9:24 Page 264

264 PART IV BUSINESS STRATEGIES IN DIFFERENT INDUSTRY CONTEXTS

Introduction and Objectives
Everything is in a state of constant change – the business environment especially. The
greatest challenge of management is to ensure that adaptation of the enterprise matches
the changes occurring within the business environment.
The industry environment is continually evolving, driven by the forces of technology,
consumer preferences, economic growth, and a host of other influences. In some cases
these forces for change may combine to create massive, unpredictable changes. For
example, in telecommunications new digital and wireless technologies combined with
regulatory changes have resulted in the telecom industry of 2007 being almost unrecog-
nizable from that which existed 20 years previously. In other industries – food processing,
aircraft production, and funeral services – change is more gradual and more predictable.
Change is the result both of external forces and the competitive strategies of the firms
within the industry. As we have seen, competition is a dynamic process in which firms vie
for competitive advantage, only to see it eroded through imitation and innovation by
rivals. The outcome of this process is an industry environment that is continually being
reshaped by the forces of competition.
The purpose of this chapter is to help us to understand, predict, and manage change.
To do this we shall explore the forces that drive change and look for patterns of change
that can help us to predict how industries are likely to evolve over time. While recogniz-
ing that every industry follows a unique development path, we shall examine the extent
to which there are commonalities to the life cycles of industry evolution that are the
result of common driving forces. Understanding these patterns can help us to identify
and exploit emerging opportunities for competitive advantage.
However, understanding and predicting changes in the industry environemt is only
one aspect of the management challenge. By far the greater challenge is ensuring the
adaptation of the firm to these changes. Change is disruptive, costly, and uncomfortable
for individuals and for organizations the forces of inertia are even stronger. As a result,
the life cycles of firms tend to be much shorter than the life cycles of industries. This
implies that changes at the industry level tend to occur through the death of existing
firms and birth of new firms rather than through continuous adaptation by a constant
population of firms.
Our starting point is the industry life cycle. We shall consider the extent to which
industries follow a common development pattern, examine the changes in industry
structre over the cycle, and explore the implications for business strategy. We will then
study the challenges of managing organizational change, including threats posed by
technological change. While our main emphasis will be on the problems of adaptation
to changing external circumstances, we shall also investigate the potential for firms
to become agents of change – using strategy as a means of transforming their business
environments.

CSAC10 1/13/07 9:24 Page 265

CHAPTER 10 INDUSTRY EVOLUTION AND STRATEGIC CHANGE 265

By the time you have completed this chapter, you will be able to:

l Recognize the different stages of industry development and understand the
factors that drive the process of industry evolution.

l Identify the key success factors associated with industries at different stages of
their development.

l Identify the strategies, organizational structures, and management systems
appropriate to different stages of industry development.

l Use scenarios to explore industry futures.

l Appreciate the challenges of managing organizational change and be familiar
with alternative approaches to strategic change.

The Industry Life Cycle
One of the best-known and most enduring marketing concepts is the product life
cycle.1 Products are born, their sales grow, they reach maturity, they go into decline,
and they ultimately die. If products have life cycles, so too do the industries that
produce them. The industry life cycle is the supply-side equivalent of the product life
cycle. To the extent that an industry produces a range and sequence of products, the
industry life cycle is likely to be of longer duration than that of a single product.
Sony’s PS3 video game console has a probable life cycle of six or seven years; the life
cycle of the electronic games industry extends back to the release of the Atari 2600
in 1977.
The life cycle comprises four phases: introduction (or emergence), growth, matur-
ity, and decline (see Figure 10.1). Before we examine the features of each of these

FIGURE 10.1 The industry life cycle

22
Industry Sales

Introduction Growth Maturity Decline
Time

CSAC10 1/13/07 9:24 Page 266


stages, let us examine the forces that are driving industry evolution. Two factors are
fundamental: demand growth and the production and diffusion of knowledge.

Demand Growth
The life cycle and the stages within it are defined primarily by changes in an industry’s
growth rate over time. The characteristic profile is an S-shaped growth curve.

l In the introduction stage, sales are small and the rate of market penetration is
low because the industry’s products are little known and customers are few.
The novelty of the technology, small scale of production, and lack of
experience means high costs and low quality. Customers for new products
tend to be affluent, innovation-oriented, and risk-tolerant.
l The growth stage is characterized by accelerating market penetration as
product technology becomes more standardized and prices fall. Ownership
spreads from higher income customers to the mass market.
l Increasing market saturation causes the onset of the maturity stage and
slowing growth as new demand gives way to replacement demand. Once
saturation is reached, demand is wholly for replacement, either direct
replacement (customers replacing old products with new products) or indirect
replacement (new customers replacing old customers).
l Finally, as the industry becomes challenged by new industries that produce
technologically superior substitute products, the industry enters its decline
stage.

Creation and Diffusion of Knowledge
The second driving force of the industry life cycle is knowledge. New knowledge in
the form of product innovation is responsible for an industry’s birth, and the dual
processes of knowledge creation and knowledge diffusion exert a major influence on
industry evolution.
In the introduction stage, product technology advances rapidly. There is no dom-
inant product technology, and rival technologies compete for attention. Competition
is primarily between alternative technologies and design configurations:

l The first 30 years of steam ships featured competition between paddles
and propellers, wooden hulls and iron hulls, and, eventually, between coal
and oil.
l The beginnings of the home computer industry during 1978–82 saw
competition between different data storage systems (audio tapes vs. floppy
disks), visual displays (TV receivers vs. dedicated monitors), operating systems
(CPM vs. DOS vs. Apple II), and microprocessors.

Dominant Designs and Technical Standards The outcome of competition
between rival designs and technologies is usually convergence by the industry around
a dominant design – a product architecture that defines the look, functionality, and
production method for the product and becomes accepted by the industry as a whole.
Dominant designs have included the following:

CSAC10 1/13/07 9:24 Page 267


l The IBM PC launched in 1981 established the basic design parameters of the
personal computer as well as the key technical standard that was eventually to
dominate the industry (the so-called “Wintel” standard).
l Leica’s Ur-Leica 35mm camera developed by Oskar Barnack and launched in
Germany in 1924 established what would become the dominant design for
cameras, though it was not until Canon began mass-producing cameras based
on the Leica design that the 35mm camera came to dominate still
photography.2
l When Ray Kroc opened his first McDonald’s hamburger restaurant in Illinois
in 1955, he established what would soon become a dominant design for the
fast-food restaurant industry: a limited menu, no waiter service, eat-in and
take-out options, roadside locations for motorized customers, and a franchise
system of ownership and control.
A dominant design may or may not embody a technical standard. IBM’s PC estab-
lished the MS-DOS operating system and Intel x86 series of microprocessor as tech-
nical standards for personal computing. Conversely, the Boeing 707 was a dominant
design for large passenger jets, but did not set industry standards in aerospace tech-
nology that would dominate subsequent generations of airplanes. Technical standards
emerge where there are network effects – the need for users to connect in some way
with one another. Network effects cause each customer to choose the same techno-
logy as everyone else to avoid being stranded. Unlike a proprietary technical standard,
which is typically embodied in patents or copyrights, a firm that sets a dominant
design does not normally own intellectual property in that design. Hence, except
for some early-mover advantage, there is not necessarily any profit advantage from
setting a dominant design.
Dominant designs are present in business models as well as products. In many new
markets, competition is between rival business models. In home grocery delivery,
dot.com start-ups such as Webvan and Peapod soon succumbed to competition from
“bricks ’n’ clicks” retailers such as Albertson’s and Giant. In the retailing of air travel,
conventional travel agents such as American Express compete with the airlines’ direct
sales and online travel agents such as Expedia and Travelocity.

From Product to Process Innovation The emergence of a dominant design
marks a critical juncture in an industry’s evolution. Once the industry coalesces
around a leading technology and design, there’s a shift from radical to incremental
product innovation. This transition may be necessary to inaugurate the industry’s
growth phase: greater standardization reduces risks to customers and encourages firms
to invest in manufacturing. The shift in emphasis from design to manufacture typically
involves increased attention to process innovation as firms seek to reduce costs and
increase product reliability through large-scale production methods (see Figure 10.2).
The combination of process improvements, design modifications, and scale economies
results in falling costs and greater availability that drives rapidly increasing market
penetration. Strategy Capsule 10.1 uses the history of the automobile industry to
illustrate these patterns of development.
Knowledge diffusion is also important on the customer side. Over the course of the
life cycle, customers become increasingly informed. As they become more know-
ledgeable about the performance attributes of rival manufacturers’ products, so they
are better able to judge value for money and become more price sensitive.

CSAC10 1/13/07 9:24 Page 268


FIGURE 10.2 Product and process innovation over time

Product Innovation
Rate of Innovation Process Innovation

Time

STRATEGY CAPSULE 10.1

Evolution of the Automobile Industry

The period 1890–1912 was one of rapid prod- the industry. During the remainder of the 20th
uct innovation in the auto industry. After 1886, century, automotive technology and design
when Karl Benz received a patent on his three- converged. A key indicator of this was the
wheel motor carriage, a ﬂurry of technical gradual elimination of alternative technologies
advances occurred in Germany, France, the US, and designs. Volkswagen’s Beetle was the last
and Britain. Developments included: mass-produced car with a rear-mounted, air-
cooled engine. Citroën abandoned its dis-
l The ﬁrst four-cylinder four-stroke engine
tinctive suspension and braking systems.
(by Karl Benz in 1890).
Four-stroke engines with four or six inline
l The honeycomb radiator (by Daimler in cylinders became dominant. Distinctive
1890). national differences eroded as American cars
l The speedometer (by Oldsmobile in 1901). became smaller and Japanese and Italian cars
l Automatic transmission (by Packard in became bigger. The fall of the Iron Curtain ex-
1904). tinguished the last outposts of nonconformity:
l Electric headlamps (by General Motors in
by the mid-1990s, East German two-stroke
1908). Wartburgs and Trabants were collectors’
items.
l The all-steel body (adopted by General
As product innovation slowed, so process
Motors in 1912).
innovation took off. In October 1913, Ford
Ford’s Model T, introduced in 1908, with its opened its Highland Park Assembly Plant, with
front-mounted, water-cooled engine and trans- its revolutionary production methods based on
mission with a gearbox, wet clutch, and rear- interchangeable parts and a moving assembly
wheel drive, acted as a dominant design for line. In the space of one year, chassis assembly

CSAC10 1/13/07 9:24 Page 269


time was cut from 12 hours and 8 minutes to bodying just-in-time scheduling, team-based
1 hour and 33 minutes. The price of the Model production, flexible manufacturing, and total
T fell from $628 in 1908 to $260 in 1924. quality management. During the 1970s and
Between 1908 and 1927 over 15 million Model 1980s, lean production diffused throughout
Ts had been produced. the world vehicle industry in the same way that
The second revolutionary process innovation Ford’s mass-production system had trans-
in automobile manufacturing was Toyota’s formed the industry half a century before.
system of “lean production,” involving a tightly
integrated “pull” system of production em- Sources: www.daimlerchrysler.com; www.ford.com.

How General Is the Life Cycle Pattern?
To what extent do industries conform to this life cycle pattern? To begin with, the
duration of the life cycle varies greatly from industry to industry:
l The introduction phase of the US railroad industry extended from the
building of the first railroad, the Baltimore and Ohio in 1827, to the growth
phase of the 1870s. By the late 1950s, the industry was entering its decline
phase.
l The introduction stage of the US automobile industry lasted about 25 years,
from the 1890s until growth took off in 1913–15. Maturity, in terms of
slackening growth, set in during the mid-1950s.
l In personal computers, the introduction phase lasted only about four years
before growth took off in 1978. Between 1978 and 1983 a flood of new and
established firms entered the industry. Toward the end of 1984, the first signs
of maturity appeared: growth stalled, excess capacity emerged, and the
industry began to consolidate around a few companies; however, it remained
strong until the end of the 1990s.
l Digital audio players (MP3 players) were first introduced by Seehan
Information Systems and Diamond Multimedia during 1997–8. With the
launch of Apple’s iPod in 2001 the industry entered its growth phase. By
2007, the industry appeared to be entering its motive phase.
The tendency over time has been for life cycles to become compressed. This is
evident for all consumer electronic products, communication products, and also
pharmaceuticals. In e-commerce, life cycles have become even more compressed.
Businesses such as online gambling, business-to-business online auctions, and online
travel services have gone from initial introduction to apparent maturity with a few
years. Such time compression has required a radical rethink of strategies and man-
agement processes – “competing on internet time” is how Michael Cusumano and
David Yoffie refer to the challenge.3
Patterns of evolution also differ. Industries supplying basic necessities such as res-
idential construction, food processing, and clothing may never enter a decline phase
because obsolescence is unlikely for such needs. Some industries may experience a
rejuvenation of their life cycle. In the 1960s, the world motorcycle industry, in decline

CSAC10 1/13/07 9:24 Page 270


FIGURE 10.3 Innovation and renewal in the industry life cycle: retailing

Warehouse Internet
clubs retailers
e.g., Price Club, e.g., Amazon,
Sam’s Club Peapod
Mail order,
catalog Discount “Category
retailing Chain stores killers”
e.g., Sears stores e.g., K-Mart, e.g., Toys-R-Us,
Roebuck e.g., A&P Wal-Mart Home Depot

1880s 1920s 1960s 2000

in the US and Europe, re-entered its growth phase as Japanese manufacturers
pioneered the recreational use of motorcycles. Maturity of the market for black and
white TVs was followed by a series of demand revivals: for color TVs, for computer
monitors, and most recently for ﬂat-screen TVs. Similar waves of innovation have re-
vitalized retailing (see Figure 10.3). These rejuvenations of the product life cycle are
not natural phenomena – they are typically the result of companies resisting the forces
of maturity through breakthrough product innovations or developing new markets.
An industry is likely to be at different stages of its life cycle in different countries.
Although the US auto market is in the early stages of its decline phase, markets in
China, India, and Russia are in their growth phases. Multinational companies can
exploit such differences: developing new products and introducing them into the
advanced industrial countries, then shifting attention to other growth markets once
maturity sets in.

Structure, Competition, and Success Factors
over the Life Cycle
Changes in demand growth and technology over the cycle have implications for
industry structure, competition, and the sources of competitive advantage (key success
factors). Table 10.1 summarizes the principal features of each stage of the industry life
cycle.

Product Differentiation
Emerging industries are characterized by a wide variety of product types that reﬂect
the diversity of technologies and designs – and the lack of consensus over customer
requirements. Standardization during growth and maturity phases increases product
uniformity, with the result that a product may evolve toward commodity status
unless producers are effective in developing new dimensions for differentiation, such
as marketing variables, ancillary services (e.g., credit facilities, after-sales service),

CSAC10 1/13/07 9:24 Page 271


TABLE 10.1 The Evolution of Industry Structure and Competition over the Life Cycle

Introduction Growth Maturity Decline

Demand Limited to early Rapidly increasing Mass market, Obsolescence.
adopters: high- market penetration. replacement/repeat
income, avant-garde. buying. Customers
knowledgeable and
price sensitive.

Technology Competing Standardization Well-diffused Little product or
technologies. Rapid around dominant technical know-how: process innovation.
product innovation. technology. Rapid quest for
process innovation. technological
improvements.

Products Poor quality. Wide Design and quality Trend to Commodities the
variety of features improve. commoditization. norm: differentiation
and technologies. Emergence of Attempts to difficult and
Frequent design dominant design. differentiate by unprofitable.
changes. branding, quality,
bundling.

Manufacturing Short production Capacity shortages Emergence of Chronic overcapacity.
and distribution runs. High-skilled Mass production. overcapacity. Re-emergence of
labor content. Competition for Deskilling of specialty channels.
Specialized distribution. production. Long
distribution channels. production runs.
Distributors carry
fewer lines.

Trade Producers and Exports from Production shifts to Exports from
consumers in advanced countries newly industrializing countries with lowest
advanced countries. to rest of world. then developing labor costs.
countries.

Competition Few companies. Entry, mergers, and Shakeout. Price Price wars, exits.
exits. competition increases.

Key success Product innovation. Design for Cost efficiency Low overheads. Buyer
factors Establishing credible manufacture. through capital selection. Signaling
image of firm and Access to intensity, scale commitment.
product. distribution. efficiency, and low Rationalizing capacity.
Building strong input costs. High
brand. Fast product quality.
development.
Process innovation.

CSAC10 1/13/07 9:24 Page 272


and product options.4 A feature of the markets for personal computers, credit cards,
securities broking, and internet access is their increasing commodity status in which
buyers select primarily on price.

Organizational Demographics and Industry Structure
Industry evolution is associated with high rates of entry and exit and considerable
changes in firm population. The field of organizational ecology, founded by Michael
Hannan, John Freeman, and Glen Carroll, has examined the evolution of industries
as a Darwinian process in which the size and composition of the population of firms
in an industry are determined by the process through which firms are founded and the
process of selection through which they compete for survival.5 Some of the main find-
ings of the organizational ecologists in relation to industry evolution are:

l The number of firms in an industry increases rapidly during the early stages
of an industry’s life. Initially an industry may be pioneered by a few firms.
However, as these firms gain legitimacy, failure rates decline and the rate of
new-firm foundings increases. New entrants have very different origins. Some
are startup companies (“de novo” entrants); others are established firms
diversifying from related industries (“de alio” entrants). The US automobile
industry featured many hundreds of producers in the early years of the 20th
century,6 while in TV receivers there were 92 companies in 1951.7
l With the onset of maturity, the number of firms begins to fall. Very often,
industries go through one or more “shakeout” phases during which the rate
of firm failure increases sharply. After this point, rates of entry and exit
decline and the survival rate for incumbents increases substantially.8 The
shakeout phase of intensive acquisition, merger, and exit occurs, on average,
29 years into the life cycle and results in the number of producers being
halved.9 In the US tire industry, the number of players increased during the
first 25 years, before waves of consolidation, typically triggered by
technological and strategic changes within the industry.10
l As industries become increasingly concentrated and the leading firms focus on
the mass market, so a new phase of entry may take place as new firms take
advantage of opportunities in peripheral regions of the market. An example
of this “resource partitioning” is the US brewing industry: as the mass market
became dominated by a handful of national brewers, so opportunities arose
for new types of brewing companies – microbreweries and brew pubs – to
establish themselves in specialist niches.11

However, different industries follow very different evolutionary paths. While in
most industries, maturity is associated with increasing concentration, in industries
where scale economies are unimportant and entry barriers are low, maturity and com-
moditization may cause concentration to decline (as in credit cards, television broad-
casting, and frozen foods). Some industries, especially where the first-mover achieves
substantial patent protection, may start out as near-monopolies, then become
increasingly competitive. Plain-paper copiers were initially monopolized by Xerox
Corporation and it was not until the early 1980s that the industry was transformed
by a wave of new entry. Seemingly stable mature industries can be transformed within
a few years by a wave of mergers. The world petroleum industry consolidated con-
siderably during 1998–2001, as did the world steel industry during 2001– 6.

CSAC10 1/13/07 9:24 Page 273


Location and International Trade
The industry life cycle involves the international migration of production.12 The life
cycle theory of trade and direct investment is based on two assumptions. First, that
demand for new products emerges first in the advanced industrialized countries of
North America, western Europe, and Japan and then diffuses internationally. Second,
that with maturity, products require fewer inputs of technology and sophisticated
skills. The result is the following development pattern:
1 New industries begin in high-income countries (United States, Japan, and
western Europe) because of the presence of a market and the availability of
technical and scientific resources.
2 As demand grows in other countries, they are serviced initially by exports.
3 Continued growth of overseas markets and reduced need for inputs of
technology and sophisticated labor skills make production attractive in newly
industrialized countries. The advanced industrialized countries begin to import.
4 With maturity, commoditization, and de-skilling of production processes,
production shifts to developing countries where labor costs are lowest.
For example, consumer electronics were initially dominated by the United States
and Germany. During the early 1960s, production shifted towards Japan. The 1980s
saw the rise of Korea, Hong Kong, and Taiwan as leading exporters. By the mid-
1990s, assembly had moved to lower-wage countries such as China, the Philippines,
Thailand, Mexico, and Brazil. We return to these issues of national-level competi-
tiveness in Chapter 14.

The Nature and Intensity of Competition
Competition changes in two ways over the course of the industry life cycle. First,
there is a shift from nonprice to price competition. Second, the intensity of competi-
tion grows, causing margins to narrow. During the introduction stage, competitors
battle for technological leadership and competition focuses on technology and
design. Gross margins can be high, but heavy investments in innovation and market
development tend to depress return on capital. The growth phase is more conducive
to profitability as market demand outstrips industry capacity – especially if incum-
bents are protected by barriers to entry. With the onset of maturity, increased prod-
uct standardization and excess capacity stimulates price competition. How intense
this is depends a great deal on the capacity/demand balance and the extent of inter-
national competition. In food retailing, airlines, motor vehicles, metals, oil refining,
and insurance, maturity was associated with strong price competition and slender
profitability. In household detergents, breakfast cereals, cosmetics, and investment
banking, high levels of seller concentration and successful maintenance of product
differentiation resulted in positive economic profits. The decline phase is almost
always associated with strong price competition (often degenerating into destructive
price wars) and dismal profit performance.

Key Success Factors and Industry Evolution
These changes in structure, demand, and technology over the industry life cycle have
important implications for the primary sources of competitive advantage at each stage
of industry evolution:

CSAC10 1/13/07 9:24 Page 274


l During the introductory stage, product innovation is the basis for initial entry
and for subsequent success. Soon, however, knowledge alone is not enough.
As the industry begins its evolution and technological competition intensifies,
other requirements for success emerge. In moving from the first generation of
products to subsequent generations, investment requirements tend to grow,
and financial resources become increasingly important. Capabilities in product
development soon need to be matched by capabilities in manufacturing,
marketing, and distribution. Hence, in an emerging industry, firms need to
support their innovation with a broad array of vertically integrated
capabilities.
l Once the growth stage is reached, the key challenge is scaling up. As the
market expands, the firm needs to adapt its product design and its
manufacturing capability to large-scale production. As Figure 10.4 shows,
investment in R&D, plant and equipment, and sales tends to be high during
the growth phase. To utilize increased manufacturing capability, access to
distribution becomes critical. At the same time, the tensions that
organizational growth impose create the need for internal administrative and
strategic skills. We consider these issues in Chapter 11.

FIGURE 10.4 Differences in strategy and performance between businesses at
different stages of the industry life cycle

12

10

SOURCE: C. ANDERSON AND C. ZEITHAML, “STAGE OF THE PRODUCT LIFE CYCLE, BUSINESS STRATEGY AND BUSINESS PERFORMANCE,”
8

Growth
6 Maturity
Decline

4

2
ACADEMY OF MANAGEMENT JOURNAL 27 (1984): 5–24.

0
Investment/Sales

Advertising/Sales
ROI

Added/Revenue

Technical Change

New Products

% Sales from New

Product R&D/Sales

Age of Plant and
Equipment
Products
Value

Note: The figure shows standardized means for each variable for businesses at each stage of the
life cycle.

CSAC10 1/13/07 9:24 Page 275


l With the maturity stage, competitive advantage is increasingly a quest for
cost efficiency – particularly in those mature industries that tend toward
commoditization. Cost efficiency through scale economies, low wages, and
low overheads become the key success factors. Figure 10.4 shows that R&D,
capital investment, and marketing are lower in maturity than during the
growth phase.
l The transformation to the decline phase raises the potential for destructive
price competition. While cost advantage is essential, it is also important to
maintain a stable industry environment. Hence, company strategies focus on
encouraging the orderly exit of industry capacity and building a strong
position in relation to residual market demand. We consider the strategic
issues presented by mature and declining industries more fully in Chapter 12.

Organizational Adaptation and Change
In Chapter 1, I emphasized the importance of fit. For companies to be successful, their
strategies and organizational structures need to be aligned with their industry environ-
ments. This concept of fit has its origin in contingency approaches to organization
theory.13 Industry evolution poses a huge challenge to managers: strategy and struc-
ture must adapt to keep pace with the rate of change in the external environment. The
faster the pace of industry evolution, the more daunting is the challenge of organ-
izational change.

Evolutionary Theory and Organizational Change
Theories of organizational evolution draw heavily upon biological theories of evolu-
tion. Organizations – like biological organisms – adapt to external change through
variation, selection, and retention. The critical issue that divides organizational theor-
ists is the level at which these evolutionary processes occur:
l Organizational ecologists emphasize evolution at the industry level.
Individual organizations are subject to inertia – the resistance to change that
accompanies the processes of institutionalization.14 Hence, evolutionary
processes work at the level of the industry. The competitive process is a
selection mechanism, in which organizations whose characteristics match the
requirements of their environment survive, and organizations whose
characteristics do not are eliminated through acquisition or liquidation.
The implication is that industry evolution involves a changing population
of companies. As we shall see, a number of empirical studies support this
contention that industry evolution is achieved more by the changes in the
composition of firms than by adaptation by companies in response to external
change.15
l Evolutionary theorists (such as Nelson and Winter) view evolution as
occurring within individual organizations where the process of variation,
selection, and retention takes place at the level of the organizational routine.16
As we discussed in Chapter 5, these patterns of coordinated activity are the
basis for organizational capability. While evolutionary theorists view firms as
adapting to external change through the search for new routines, replication

CSAC10 1/13/07 9:24 Page 276


of successful routines, and abandonment of unsuccessful routines, such
adaptation is neither fast nor costless. The search for new routines is triggered
by declining performance; when companies are performing well there is little
impetus for change.

The Sources of Organizational Inertia
Common to all the different analyses of organizational change is the recognition that
for organizations – as for individuals – change is difficult and painful. Indeed, it is
more difficult for organizations than for individuals because change upsets patterns
of social interaction and requires coordinated action among multiple individuals.
Different theories emphasize different barriers to change:

l Organizational capabilities and routines. Evolutionary economists emphasize
the fact that capabilities are based on organizational routines – patterns of
interaction among organizational members that develop through continual
repetition. The more highly developed are an organization’s routines, the
more difficult it is to develop new routines. Hence, organizations get caught
in competency traps17 where “core capabilities become core rigidities.”18
l Social and political structures. Organizations develop social patterns of
interaction that make organizational change stressful and disruptive.19
Similarly, organizations create stable systems of political power. To the extent
that change disrupts social patterns and threatens the power of those in
positions of authority, organizations tend to resist change.
l Conformity. Institutional sociologists emphasize the propensity of firms to
imitate one another to gain legitimacy.20 The process of institutional
isomorphism locks organizations into common structures and strategies that
make it difficult for them to adapt to change. External pressures for
conformity arise from governments, investment analysts, banks, and other
sources of resources and legitimacy, but also through voluntarily imitation –
risk aversion encourages companies to adopt similar strategies and structures
as their peers.21
l Complementarities between strategy, structure, and systems. Both
organizational economists22 and sociotechnical systems scholars23 emphasize
the importance of fit between an organization’s strategy, structure,
management systems, culture, employee skills – indeed, all the characteristics
of an organization. Organizations establish complex, idiosyncratic
combinations of multiple characteristics during their early phases of
development in order to match the conditions of their business environment.
However, once established, this complex configuration becomes a barrier to
change because of the need to change all the elements of the organization.
The implication is that organizations tend to evolve through a process of
punctuated equilibrium involving long periods of stability during which the
widening misalignment between the organization and its environment
ultimately forces radical and comprehensive change on the company.24
l Limited search and blinkered perceptions. Organizations’ capacity for large-
scale change is also limited by their propensity to limit search to areas close to
their existing activities and operations. According to the Carnegie School of

CSAC10 1/13/07 9:24 Page 277


organizational theory, most organizations are limited to incremental changes
because of bounded rationality (limited information processing capacity
constrains human beings in their search activities), satisﬁcing (the quest for
satisfactory rather than optimal performance), and the preference for
exploitation of existing knowledge over exploration for new opportunities.25

Empirical Evidence on Organizational Adaptation
The ability of some companies to adapt is indicated by the fact that many have been
leaders in their industries for a century or more – Siemens has been a leading player
in communications equipment since the founding of Telegraphen-Bau-Anstalt von
Siemens & Halske in 1847, Exxon (now Exxon Mobil) and Royal Dutch Shell have
dominated the petroleum industry for the whole of the 20th century, General Motors
has been the world’s biggest automobile maker since the mid-1920s. Yet these com-
panies are exceptions. Among the companies forming the original Dow Jones Indus-
trial Average in 1896, only General Electric remains in the index today. Of the world’s
12 biggest companies in 1912, just three were in the top 12 in 2006 (see Table 10.2).
The ability of a ﬁrm to adapt to external change depends on the nature of that
change. Evolutionary change over the typical industry life cycle is less threatening
than radical technological change. Let us review evidence on adaptation to both types
of change.

Adapting to changes over the life cycle Even though the industry life cycle
involves changes that are largely predictable, the different stages of the life cycle re-
quire different capabilities that established forms may struggle to develop. Markides
and Geroski show steps through the different stages of an industry’s development are
usually undertaken by different companies – the “innovators” that pioneer the cre-
ation of a new industry are typically different companies from the “consolidators”
that develop it:

TABLE 10.2 World’s Biggest Companies in terms of Market Capitalization,
1912 and 2006

1912 $ bn 2006 $ bn

US Steel 0.74 Exxon Mobil 372
Exxon 0.39 General Electric 363
J&P Coates 0.29 Microsoft 281
Pullman 0.20 Citigroup 239
Royal Dutch Shell 0.19 BP 233
Anaconda 0.18 Bank of America 212
SOURCES: FINANCIAL TIMES, ECONOMIST.

General Electric 0.17 Royal Dutch Shell 211
Singer 0.17 Wal-Mart Stores 197
American Brands 0.17 Toyota Motor 197
Navistar 0.16 Gazprom 196
BAT 0.16 HSBC 190
De Beers 0.16 Procter & Gamble 190

CSAC10 1/13/07 9:24 Page 278


The fact that the firms that create new product and service markets are rarely the
ones that scale them into mass markets has serious implications for the modern
corporation. Our research points to a simple reason for this phenomenon: the
skills, mind-sets, and competences needed for discovery and invention are not
only different from those needed for commercialization; they conflict with the
needed characteristics. This means that the firms good at invention are unlikely to
be good at commercialization and vice versa.26
In personal computers the pioneers were Apple, Commodore, and Xerox; 25 years
later, the leaders were Dell, Lenova, Acer, and Hewlett-Packard. In US wireless
telephony the pioneer was McCaw Communications; the current market leaders are
Cingular and Verizon.

Adapting to technological change The ability of firms to adapt to technolo-
gical carnage depends to a great extent on the implications of the new technology.
Some new technologies may enhance a company’s existing capabilities, others may
be “competence destroying.”27 This depends, in part, on whether the technology’s
impact is at the “component” or the “architectural” level – i.e. whether it involves
a single process or product feature or whether it necessitates a new configuration of
the product.28 In many sectors of e-commerce – online grocery purchases and online
banking – the internet involved innovation at the component level (it provided a new
channel of distribution for existing products). Hence, existing supermarket chains
and established retail banks with their “clicks and bricks” business models have
dominated online groceries and online financial services.
Where more radical technological change involves architectural innovation then
established firms have difficulty adapting and new startups tend to be more successful.
But even here, ownership of key resources (e.g. brands, customer relationships, and
distribution systems) can support established firms while they overcome the disrup-
tive effects of radical technological change. Since the late 19th century, the typesetter
industry has undergone three waves wrenching technological change. Yet, although
new entrants had advantages in technology and new product development, incumbent
firms’ customer relationships, sales and service networks, and font libraries allowed
many to survive and prosper.29
Elsewhere, technological changes – even the apparently modest technological
changes associated with new product generations – can give newcomers the ability
to unseat established market leaders. In disk drives, Clayton Christensen found
that with every new product generation – from 14″ to 8″ to 5.25″ to 3.5″ drives –
the established companies were on average two years behind newcomers in launch-
ing new products.30 The barriers to change were twofold: first, at the time of
their introduction, new technologies are initially inferior to existing technologies;
second, established companies listen to their customers, most of whom don’t
want the new technology – typically, it is fringe customers that are lead adopters
of new technologies. The result is that new technologies tend to be disruptive to
established firms even when they do not embody architectural innovations. The
critical feature of these disruptive technologies, according to Christensen, is that
they offer a very different package of attributes from the existing technology. For
example:
l Sony’s early transistor radios sacrificed sound fidelity but offered portability
through small size and light weight.

CSAC10 1/13/07 9:24 Page 279


l Nucor pioneered minimill technology, which initially was lower quality and
higher cost than integrated steel production but offered flexible, small-scale
production close to customers.
l In telecommunications equipment, it was newcomers Cisco Systems and
Juniper Networks, rather than established leaders such as Lucent Technologies
and Alcatel, that were most successful in exploiting the packet switching
technologies associated with the internet.31
What about technological changes that create new industries? Again, we see the
same phenomenon: new startup companies (de novo entrants) competing with
established companies that have diversified from other sectors (de alio entrants). The
issues are the same as within an industry undergoing change: are the flexibility
advantages of new startups more important than the more substantial resources and
capabilities of established firms? The evidence suggests that, where the resources and
capabilities of one industry are closely related to those required in a new industry,
then diversifying entrants from that established industry will tend to be at an advant-
age over new startups. Thus:
l In the US automobile industry, former bicycle, carriage, and engine
manufacturers tended to be the best performers.32
l The US television manufacturing industry was dominated by former
producers of radios.33
However, often some of the best performing firms in a new industry are spinoffs from
existing companies within that industry – i.e. new ventures established by former
employees of existing companies. This was evident in the US auto industry,34 the
Akron tire industry,35 and the Silicon Valley semiconductor industry – where most of
the leading players, including Intel, trace their origins to Shockley Semiconductor
Laboratories, the initial producer of integrated circuits.36

Managing Organizational Change
Given the many barriers to organizational change, how can companies adapt to
changes in their environment? The fundamental requirement is that managers recog-
nize the sources of inertia – existing routines and capabilities, power structures, and
entrenched perceptions regarding the nature of the business. Once the rigidities of
the status quo are acknowledged, then we can embark on the challenge of initiating
and guiding strategic change.

Dual Strategies and Separate Organizational Units Given the rigidities of
prevailing strategies and structures, it may be easier to effect change by creating new
organizational units rather than trying to change the existing organization. Thus, faced
with the challenge of disruptive technologies, Christensen and Overdorf suggest that
established companies develop products and businesses that embody the new tech-
nologies in organizationally separate units.37
Costas Markides argues that the critical issue is not so much the allocation of new
strategic initiatives to separate organizational units, but the firm’s capacity to simul-
taneously pursue multiple strategies. Despite several well-publicized failures dual
strategies – notably the budget airlines initiated by British Airways, Continental, and
United – he finds that a surprisingly large number of companies have successfully

CSAC10 1/13/07 9:24 Page 280


pursued dual business models. Success had little to do with whether the new strategy
was organizationally separated; the key was the ability of the new business model to
access and deploy the company’s existing resources and capabilities.38
To some extent all companies need to pursue dual strategies to the extent that they
must maximize current performance by deploying existing resources and capabilities
most effectively while at the same time developing the business to meet the challenges
of competing in the business environment of the future. According to Derek Abell,
pursuing such “dual strategies” requires dual planning systems: short-term planning
that focuses on strategic fit and performance over a one- or two-year period, and
longer term planning to develop vision, reshape the corporate portfolio, redefine and
reposition individual businesses, develop new capabilities, and redesign organizational
structures over periods of five years or more.39 In companies, strategic management
is biased towards the exploitation of current resources and capabilities and insufficient
management time is devoted towards the exploration of new opportunities and new
capabilities for the future.

Bottom–up Processes of Decentralized Organizational Change In Chap-
ter 6, we noted that the appeal of modular, loosely coupled organizational structures
was the potential for decentralized adaptation that avoided disrupting the whole
organization. Yet, typically, simply decentralizing decision making is not enough to
speed the processes of organizational adaptation. The strategy literature points to the
need for top management to manage the conditions that foster and extend the pro-
cesses of change. For example:
l If search for new strategies and new opportunities is limited by satisficing
behavior, then top management needs to stimulate performance by raising
performance expectations – establishing “stretch targets” for example.
l Corporate top management can challenge divisional and business unit
managers to seek new opportunities by issuing specific company-wide
initiatives. General Electric’s former CEO, Jack Welch, would periodically
issue such challenges: “Be number 1 or number 2 in your industry,”
“six-sigma quality,” “destroy-your-business.com.”
l Andy Grove of Intel has pointed to the necessity for top management to be
alert to the emergence of “strategic dissonance” created by divergent strategic
directions within the company. Such dissonance is likely to signal a “strategic
inflection point” – a fundamental change in industry dynamics – at which
point the company must be willing to make a radical strategic shift. For Intel,
such an inflection point occurred when it recognized that its future lay in
microprocessors rather than its initial business of DRAM chips.40
l By periodically changing organizational structure, a company can stimulate
decentralized search and local initiatives while encouraging more effective
exploitation of the outcomes of such search.41 A typical pattern is to oscillate
from periods of decentralization to periods of centralization.42

Imposing Top–down Organizational Change If organizational change occurs
periodically through a punctuated equilibrium process, the implication is that these
instances of concentrated organizational change must be orchestrated from the top.
Most large companies exhibit periodic restructuring involving simultaneous changes
in strategy, structure, management systems, and top management personnel. Such

CSAC10 1/13/07 9:24 Page 281


restructuring typically follows declining performance. For example, the oil and gas
majors all experienced far-reaching restructuring during 1986–92 following depressed
profitability that accompanied the oil price decline of 1986.43 The challenge for top
management is to undertake large-scale change before the company is pressured by
declining performance. This may require that the CEO manufactures a perception of
impending crisis within the company.

Using Scenarios to Prepare for the Future A company’s ability to adapt to
changes in its environment depends on its capacity to anticipate such changes. Yet
predicting the future is hazardous, if not impossible. “Only a fool would make pre-
dictions – especially about the future,” remarked movie mogul Samuel Goldwyn. But
the inability to predict does not mean that it is not useful to think about what might
happen in the future. Scenario analysis is a systematic way of thinking about how the
future might unfold that builds on what we know about current trends and signals.
Scenario analysis is not a forecasting technique, but a process for thinking and com-
municating about the future.
Herman Kahn, who pioneered their use first at the Rand Corporation and sub-
sequently at the Hudson Institute, defined scenarios as “hypothetical sequences of
events constructed for the purpose of focusing attention on causal process and decision
points.”44 The multiple scenario approach constructs several distinct, internally con-
sistent views of how the future may look five to 25 years ahead (shorter in the case
of fast-moving sectors). Its key value is in combining the interrelated impacts of a
wide range of economic, technological, demographic, and political factors into a
few distinct alternative stories of how the future might unfold. Scenario analysis
can be either qualitative or quantitative, or involve some combination of the two.
Quantitative scenario analysis models events and runs simulations to identify likely
outcomes. Qualitative scenarios typically take the form of narratives and can be par-
ticularly useful in engaging the insight and imagination of decision makers.
For the purposes of strategy making, scenario analysis is used to explore likely paths
of industry evolution, to examine developments in particular country markets, to think
about the impact of new technologies, and to analyze prospects for specific investment
projects. Applied to industry evolution, scenarios can clarify and develop alternative
views of how changing customer requirements, emerging technologies, government
policies, and competitor strategies might have an impact on industry structure, and
what the implications for competition and competitive advantage might be.
However, as with most strategy techniques, the value of scenario analysis is not
in the results, but in the process. Scenario analysis is a powerful tool for bringing
together different ideas and insights, for surfacing deeply held beliefs and assump-
tions, for identifying possible threats and opportunities, for generating and evaluat-
ing alternative strategies, for generating more flexible thinking by managers, and for
building consensus. Evaluating the likely performance of different strategies under
different scenarios can help identify which strategies are most robust and can assist in
contingency planning by forcing managers to address “what if?” questions. Strategy
Capsule 10.2 outlines the use of scenarios at Shell.

Shaping the Future
A succession of management gurus from Tom Peters to Gary Hamel have argued that
the key to organizational change is not to adapt to external change but to create the

CSAC10 1/13/07 9:24 Page 282


STRATEGY CAPSULE 10.2

Multiple Scenario Development at Shell

Royal Dutch Shell has pioneered the use of l Low Trust Globalization. A legalistic world
scenarios as a basis for long-term strategic where emphasis is on security and efficiency
planning in an industry where the life of at the expense of social cohesion.
investment projects (up to 50 years) far exceeds l Open Doors. A pragmatic world
the time horizon for forecasting (two or three emphasizing social cohesion and efficiency
years). In 1967, a “Year 2000” study was with the market providing built-in
inaugurated and scenario development soon solutions to crises of security and trust.
became fundamental to Shell’s planning pro-
l Flags. A dogmatic world where community
cess. Mike Pocock, Shell’s former chairman,
and security values are emphasized at the
observed: “We believe in basing planning
expense of efficiency.
not on single forecasts, but on deep thought
that identifies a coherent pattern of economic, Once approved by top management, the
political, and social development.” scenarios are disseminated by reports, presen-
Shell views its scenarios as critical to its tations, and workshops, where they form the
transition from planning toward strategic man- basis for long-term strategy discussion by
agement, in which the role of the planning business sectors and operating companies.
function is not so much to produce a plan, but Shell is adamant that its scenarios are not
to manage a process, the outcome of which is forecasts. They represent carefully thought-out
improved decision making by managers. This stories of how the various forces shaping the
involves continually challenging current think- global energy environment of the future might
ing within the group, encouraging a wider look play out. Their value is in stimulating the social
at external influences on the business, promot- and cognitive processes through which man-
ing learning, and forging coordination among agers think about the future. CEO Van Der Veer
Shell’s 200-odd subsidiaries. commented: “. . . the imperative is to use this
Shell’s global scenarios are prepared about tool to gain deeper in sights into our global
every four years by a team comprising corpor- business environment and to achieve the cul-
ate planning staff, executives and outside tural change that is at the heart of our group
experts. Economic, political, technological, and strategy . . . I know that they broaden one’s
demographic trends are analyzed 20 years into mindset and stimulate discussions.”
the future. Shell’s 2005–25 scenarios were
Sources: Pierre Wack, “Scenarios: Uncharted Waters
based on three sets of forces – market incen- Ahead,” Harvard Business Review (September–October
tives, community, and coercion and regulation 1985): 72 and “Scenarios: Shooting the Rapids,” Harvard
– and three objectives – efficiency, social cohe- Business Review (November–December 1985): 139; Arie
De Geus, “Planning as Learning,” Harvard Business Review
sion, and security. Their interactions produced (March–April 1988): 70–4; Paul Schoemacher, “Multiple
three scenarios each embodying different social, Scenario Development: Its Conceptual and Behavioral
political, and economic conditions: Foundation,” Strategic Management Journal 14 (1993):
193–214; Shell Global Scenarios to 2025 (Shell Inter-
national, 2005).

CSAC10 1/13/07 9:24 Page 283


FIGURE 10.5 Shaking the Foundations
ADAPTED FROM: GARY HAMEL, LEADING THE REVOLUTION (BOSTON: HARVARD BUSINESS SCHOOL PRESS, 2000): 280–1.

OLD BRICK NEW BRICK
Top management is responsible Everyone is responsible
for setting strategy for setting strategy
Getting better, getting faster is Rule-busting innovation
the way to win is the way to win
IT creates competitive advantage Unconventional business concepts
create competitive advantage
Being revolutionary is high risk More of the same is high risk
We can merge our way to There’s no correlation between
competitiveness size and competitiveness
Innovation equals new products Innovation equals entirely new
and new technology business concepts
Strategy is the easy part; Strategy is the easy only if you’re
implementation the hard part content to be an imitator
Change starts at the top Change starts with activists
Our real problem is execution Our real problem is execution
Big companies can’t innovate Big companies can become gray-haired
revolutionaries

future. Companies that adapt to change are doomed to playing catch-up; competitive
advantages accrue to those companies that act as leaders and initiate change. Hamel
and Prahalad’s “new strategy paradigm” emphasizes the role of strategy as a system-
atic and concerted approach to redeﬁning both the company and its industry environ-
ment in the future.45
According to Gary Hamel, in an age of revolution, “the company that is evolving
slowly is already on its way to extinction.”46 The only option is to give up incremental
improvement and adapt to a nonlinear world – revolution must be met by revolution.
Achieving internal revolution requires changing the psychological and sociological
norms of an organization that restrict innovation (see Figure 10.5).
Hamel’s challenge for managers to cast off their bureaucratic chains and become
revolutionaries is invigorating and inspiring. But is revolution among established com-
panies either feasible or desirable? Some established companies have achieved radical
change:
l Nokia underwent a metamorphosis from a manufacturer of paper and rubber
goods into the world’s leading supplier of mobile phones.
l BP transformed itself from a bureaucratic state-owned oil company to one of
the most ﬂexible and innovative of the supermajors.
l Microsoft has successfully ridden a series of disruptive changes in the world’s
computer industry, including the transition to object-oriented computing and
the networking revolution of the late 1990s, and is currently positioning itself
for the conversion of computing, telecommunications, and home
entertainment.

CSAC10 1/13/07 9:24 Page 284


However, for most established companies, efforts at radical change have resulted in
disaster:
l Enron’s transformation from a utility and pipeline company to a trader and
market-maker in energy futures and derivatives ended in disaster in 2001.
l Vivendi’s multimedia empire built on the base of French water and waste
utility fell apart in 2002.
l GEC’s reincarnation as Marconi, a telecom equipment supplier, was swiftly
followed by bankruptcy in 2002.
l ICI, the former British chemical giant, has yet to recover from its attempt to
reinvent itself as a specialty chemical company.
l Skandia’s quest to become one of the world’s most innovative insurance
companies ended in top management scandal and the sale of most the
company’s businesses outside of Sweden.
The perils of radical strategic change are not difﬁcult to understand. We have noted
that competitive advantage depends on the deployment of superior organizational
capabilities and these capabilities develop slowly. Strategic changes that take a com-
pany beyond its competence domain involve massive risks.

Summary
Strategy is about establishing an identity and a of competition likely to emerge and the kinds
direction for the development of a business into of strategy likely to be effective.
the future. How can we formulate a strategy for l Classifying an industry encourages
the future if the future is unknown and difﬁcult comparison with other industries. By
to predict? highlighting similarities and differences with
In this chapter we have learned that some other industries, such comparisons can help
regularities are evident in the evolutionary paths us gain a deeper understanding of the
that industries follow. The life cycle model is a strategic characteristics of an industry.
useful approach to exploring the impact of
l It directs attention to the forces of change
temporal processes of market saturation and
and direction of industry evolution, thereby
technology development and dissemination and
helping us to anticipate and manage change.
their impact on industry structure and the basis
of competitive advantage. Classifying industries
Even if we can identify certain regularities in
according to their stage of development can in
the pattern of industry evolution, adapting to
itself be an insightful exercise:
change presents a huge challenge to companies.
l It acts as a shortcut in strategy analysis. Organizational theories that emphasize inertia
Categorizing an industry according to its and conformity among organizations, suggest
stage of development can alert us to the type that industry adjustment may occur more through

CSAC10 1/13/07 9:24 Page 285


the birth of new firms and death of old ones, may help managers understand and cope with
rather than through adaptation by established change in the external environment; nevertheless,
firms. This analysis is supported by empirical evi- the fundamental truth is that, so long as devel-
dence that points to the limited success of estab- oping new capabilities is slow and risky, a firm’s
lished firms in dealing with industry evolution and capacity to successfully undergo radical change is
disruptive technologies. inherently uncertain.
While various management consultants and In the next two chapters, we discuss strategy
commentators advocate radical and continuous formulation and strategy implementation in
change among established companies, there is industries at different stages of their develop-
little evidence that most companies have the ment: emerging industries, those characterized
capacity to manage such change. Certain tools by technology-based competition, and mature
and techniques – scenario analysis, in particular – industries.

Self-Study Questions
1 Consider the changes that have occurred in a comparatively new industry (e.g. wireless
communications, video game consoles, medical diagnostic imaging, PDAs, online auctions,
bottled water, courier delivery services). To what extent has the evolution of the industry
followed the pattern predicated by the industry life cycle model? At what stage of
development is the industry today? How is the industry likely to evolve in the future?

2 Select a product that has become a dominant design for its industry (e.g. the IBM PC in
personal computers, the Boeing 707 in passenger jets, McDonald’s in fast food, Harvard in
MBA education, Southwest in budget airlines). What forces caused one firm’s product
architecture to become dominant? Why did other firms imitate this dominant design? To
what extent has the dominant design evolved or been displaced?

3 The “resource partitioning” model argues that as industries become dominated by a few
major companies whose strategies and products converge, so opportunities open for new
entrants to build specialist niches. Identify an opportunity for establishing a specialist new
business in an industry dominated by mass market giants.

4 Consider an industry facing fundamental technology change (e.g. fixed-point
telecommunications and internet protocols, the recorded music industry and digitalization,
computer software and open-source, newspapers and the internet, automobiles and
alternative fuels). Develop two alternative scenarios for the future evolution of your chosen
industry. In relation to one leading player in the industry, identify the problems posed by the
new technology and develop a strategy for how the company might adapt to and exploit the
changes you envisage.

CSAC10 1/13/07 9:24 Page 286


Notes
1 For early work on the product life cycle, see 12 R. Vernon, “International Investment and International
E. M. Rogers, The Diffusion of Innovations (New York: Trade in the Product Cycle,” Quarterly Journal of
Free Press, 1962); T. Levitt, “Exploit the Product Life Economics 80 (1966): 190–207.
Cycle,” Harvard Business Review (November–December 13 Contingency theory has its origins in P R. Lawrence
.
1965): 81–94; G. Day, “The Product Life Cycle: and J. W Lorsch’s book Organization and Environment
.
Analysis and Applications,” Journal of Marketing 45 (Boston: Harvard Business School, 1967). See also
(Autumn 1981): 60–7. A. Ginsberg and N. Venkatraman, “Contingency
2 Thanks to Bob Edwards for information on the Perspectives of Organizational Strategy,” Academy of
development of camera design. Management Review 10 (1985): 421–34.
3 M. A. Cusumano and D. B. Yoffie, Competing on 14 P J. DiMaggio and W W Powell, “The Iron Cage
. . .
Internet Time: Lessons From Netscape and Its Battle Revisited: Institutional Isomorphism and Collective
with Microsoft (New York: Free Press, 1998). Rationality,” in W W Powell and P J. DiMaggio, The
. . .
4 In Shiv Mathur and Alfred Kenyon’s “transaction cycle,” New Institutionalism and Organizational Analysis
differentiation re-emerges as products and service are (Chicago: University of Chicago Press, 1991): 63–82.
bundled into new systems. See “Competitive System 15 For an introduction to organizational ecology, see:
Dynamics,” in Creating Wealth: Shaping Tomorrow’s M. T. Hannan and G. R. Carroll, “An introduction to
Business (Oxford: Butterworth-Heinemann, 1997): organizational ecology,” in Organizations in Industry
Chapter 9. (Oxford: Oxford University Press, 1995): 17–31.
5 G. Carroll and M. Hannan, The Demography of 16 For a survey of evolutionary approaches, see
Corporations and Industries (Princeton: Princeton R. R. Nelson, “Recent Evolutionary Theorizing About
University Press, 2000). For a survey see: J. Baum, Economic Change,” Journal of Economic Literature 33
“Organizational Ecology,” in S. R. Clegg, C. Hardy, and (March 1995): 48–90.
W R. Nord, Handbook of Organizational Studies
. 17 J. G. March, “Exploration and Exploitation in
(Thousand Oaks: Sage, 1996); D. Barron, “Evolutionary Organizational Learning,” Organizational Science 2
Theory,” in D. O. Faulkner and A. Campbell (eds), (1991): 71–87.
The Oxford Handbook of Strategy (Oxford: Oxford 18 D. Leonard-Barton, “Core Capabilities and Core
University Press, 2003) vol. 1: 74–97. Rigidities: A Paradox in Managing New Product
6 G. R. Carroll, L. S. Bigelow, M.-D. Seidel, and B. Tsai, Development,” Strategic Management Journal, Summer
“The Fates of de novo and de alio Producers in the Special Issue (1992): 111–25.
American Automobile Industry, 1885–1981,” Strategic 19 M. T. Hannan, L. Polos, G. R. Carroll, “Structural
Management Journal 17, Summer Special Issue (1996): Inertia and Organizational Change Revisited III: The
117–37. Evolution of Organizational Inertia,” Stanford GSB
7 S. Klepper and K. L. Simons, “Dominance by Birthright: Research Paper 1734 (April 2002).
Entry of Prior Radio Producers and Competitive 20 P J. DiMaggio and W Powell, “‘The iron cage revisited’:
. .
Ramifications in the US Television Receiver Industry,” institutional isomorphism and collective rationality in
Strategic Management Journal 17 (2000): 997–1016. organizational fields,” American Sociological Review 48
8 High rates of entry and exit may continue well into (1983): 147–60.
maturity. In US manufacturing industries in any given 21 J.-C. Spender, Industry Recipes (Oxford: Blackwell,
year, it was found that 39 percent of larger companies 1989).
were not industry participants five years earlier and 40 22 P R. Milgrom and J. Roberts, “Complementarities and
.
percent would not be participants five years later. See fit: Strategy, structure, and organizational change in
T. Dunne, M. J. Roberts, and L. Samuelson, “Patterns manufacturing,” Journal of Accounting and Economics
of Firm Entry and Exit in US Manufacturing Industries,” 19 (1995): 179–208; M. E. Porter and N. Siggelkow,
Rand Journal of Economics 19 (1988): 495–515. “Contextual Interactions within Activity Systems and
9 S. Klepper and E. Grady, “The Evolution of New Sustainable Competitive Advantage,” Working Paper,
Industries and the Determinants of Industry Structure,” Harvard Business School, Boston, 2002.
Rand Journal of Economics (1990): 27–44. 23 A. B. Shani and J. A. Sena, “Information Technology
10 S. Klepper and K. Simons, “The Making of an and the Integration of Change: A Sociotechnical Systems
Oligopoly: Firm Survival and Technological Change in Approach,” Journal of Applied Behavioral Science 30
the Evolution of the US Tire Industry,” Journal of (1994): 247–70; E. Trist, “The Sociotechnical
Political Economy 108 (2000). Perspective.” In Van de Ven and Joyce (eds), Perspectives
11 G. Carroll and A. Swaminathan, “Why the on Organization Design and Behavior (New York: Wiley,
Microbrewery Movement? Organizational Dynamics of 1984).
Resource Partitioning in the American Brewing 24 M. L. Tushman and E. Romanelli, “Organizational
Industry,” American Journal of Sociology 106 (2000): Evolution: A Metamorphosis Model of Convergence
715–62. and Reorientation,” in L. L. Cummins and B. M. Staw

CSAC10 1/13/07 9:24 Page 287


(eds), Research in Organizational Behavior 7 (1985): 34 Klepper 2002, op. cit.
171–26; E. Romanelli and M. L. Tushman, 35 G. Buenstorf and S. Klepper, “Heritage and
“Organizational Transformation as Punctuated Agglomeration: The Akron Tire Cluster Revisited,”
Equilibrium: An Empirical Test,” Academy of Department of Social and Decision Sciences
Management Journal 37 (1994): 1141–66. Working Paper, Carnegie Mellon University,
25 J. G. March and H. A. Simon, Organizations (New York: March 2005.
Wiley, 1958); J. G. March, “Exploration and 36 D. A. Kaplan, The Silicon Boys and Their Valley of
Exploitation in Organizational Learning,” Organization Dreams (New York: Morrow, 1999).
Science 2 (1991): 71–87. 37 C. M. Christensen and M. Overdorf, “Meeting the
26 C. Markides and P Geroski, “Colonizers and
. Challenge of Disruptive Change,” Harvard Business
Consolidators: The Two Cultures of Corporate Review (March–April 2000): 66–76.
Strategy,” Strategy & Business 32 (Fall 2003). 38 C. Markides and C. D. Charitou, “Competing with Dual
27 M. L. Tushman and P Anderson, “Technological
. Strategies,” Academy of Management Executive 18
Discontinuities and Organizational Environments,” (2004): 22–36.
Administrative Science Quarterly 31 (1986): 439–65. 39 D. F. Abell, Managing with Dual Strategies (New York:
28 R. M. Henderson and K. B. Clark, “Architectural Free Press, 1993).
Innovation: The Reconfiguration of Existing Systems 40 A. Grove, Only the Paranoid Survive (New York:
and the Failure of Established Firms,” Administrative Doubleday, 1996).
Science Quarterly (1990): 9–30. 41 N. Siggelkow and D. A. Levinthal, “Escaping real
29 Mary Tripsas, “Unravelling the Process of Creative (non-benign) competency traps: linking the dynamics
Destruction: Complementary Assets and Incumbent of organizational structure to the dynamics of search,”
Survival in the Typesetter Industry,” Strategic Strategic Organization 3 (2005): 85–115.
Management Journal 18, Summer Special Issue 42 J. Nickerson and T. Zenger, “Being Efficiently Fickle:
( July 1997): 119– 42. A Dynamic Theory of Organizational Choice,”
30 C. M. Christensen and J. L. Bower, “Customer Power, Organization Science 13 (September–October 2002):
Strategic Investment, and the Failure of Leading Firms,” 547–67.
Strategic Management Journal 17 (March 1996): 43 R. Cibin and R. M. Grant, “Restructuring among the
197–218. World’s Leading Oil Companies,” British Journal of
31 J. Bower and C. M. Christensen, “Disruptive Management 7 (1996): 283–308.
Technologies: Catching the Wave,” Harvard Business 44 H. Kahn, The Next 200 Years: A Scenario for America
Review ( January–February 1995): 43–53. and the World (New York: William Morrow, 1976).
32 S. Klepper, “The capabilities of new firms and the For a guide to the use of scenarios in strategy making,
evolution of the US automobile industry,” Industrial and see K. van der Heijden, Scenarios: The Art of Strategic
Corporate Change 11 (2002): 645–66. Conversation (Chichester: Wiley, 2005).
33 S. Klepper and K. L. Simons, “Dominance by birthright: 45 G. Hamel and C. K. Prahalad, Competing for the Future
Entry of prior radio producers and competitive (Boston: Harvard Business School Press, 1995).
ramifications in the U.S. television receiver industry,” 46 G. Hamel, Leading the Revolution (Boston: Harvard
Strategic Management Journal 21 (2000): 997–1016. Business School Press, 2000): 5.

Csac10[1].p

More Related Content

Viewers also liked

Similar to Csac10[1].p

More from Kinshook Chaturvedi

Recently uploaded

Csac10[1].p