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Sander Duivestein, Jaap Bloem,
Menno van Doorn, Thomas van Manen
VINT  |  Vision • Inspiration • Navigation • Trends
DESIGN TO DISRUPT
An Executive Introduction
2
	CONTENTS
	 Disruption is the New Normal  3
1	 Disruption, ranging from old media to the U.S. Department of Defense  4
2	 Innovator dilemmas and Eroom’s Law  14
3	 The enterprise in times of exponential acceleration  16
4	 Beyond the New Normal   20
5	 Gearing into overdrive  22
6	 Four Design to Disrupt challenges  24
	 A	 Continuous Design in the digital era  24
	B	The design of trust  25
	C	The design of new service and business models  26
	D	The design of client obsession  27
7	 Conclusion and considerations for the CIO  28
	 Illustrations and references  30
3
Disruptive technology
Performance
Most demanding use
Time
High quality use
Medium quality use
Disruptive
technology
Low quality use
DISRUPTION IS THE NEW NORMAL
This Executive Introduction to Design to Disrupt marks
the start of a new research project. Three reports on the
vigorous acceleration that is now taking place every-
where form the basis of this venture. Your input is cer-
tainly welcome and, in that respect, this is a request to
join in. Interviews with directors and leaders of innova-
tion sections — perhaps also from your organization —
form an important ingredient of this new project.
The challenge is a major one. Quite some notable people
have remarked that existing organizations cannot match
today’s disruptive innovations and that they should leave
this field to lean startups. But Design to Disrupt is an
imperative: an appeal to every organization that refuses
to passively accept becoming obliterated, but truly be-
lieves that pioneering innovations are indeed possible.
The design of one’s own disruption is the focus of atten-
tion in this process.
This Executive Introduction initially may cause some
fear. We begin with the Pentagon and The New York
Times, which are afraid of losing themselves in the jun-
gle of rapid developments. We present culture as every
organization’s greatest enemy: frenetically embracing
past successes, regulations and self-imposed rules that
obstruct progress. And we present theories and state-
ments that announce even more exponential accelera-
tion than we see today.
Internet pioneer Kevin Kelly states, “You’re not too
late.” We are at the beginning of the harvest. Thirty
years of investment in information technologies and dig-
ital infrastructures has produced new platforms and nu-
merous new possibilities. There is sufficient reason to
assume that innovation is genuinely becoming easier
rather than more difficult.
Digital disruption and disruptive innovation is the New
Normal. We invite anyone who regards this truism as a
challenge to enter into our discussion about the follow-
ing design issues: Continuous Design in the digital era,
the design of trust, designing the ultimate customer ex-
perience, and the design of new service and business
models.
Would you like to participate in Design to Disrupt? If so,
please let us know.
Contact: d2d@sogeti.com
4
1	 DISRUPTION, RANGING FROM OLD MEDIA
TO THE U.S. DEPARTMENT OF DEFENSE
In March 2014, an openhearted New York Times internal
report leaked out to the general public, exposing a lack
of vision and execution regarding new media innovation.
The research, on which a “dream team” of journalists,
marketers and designers had worked, contained the
analysis of hundreds of experts. They were assigned to
develop an innovative news and information service but
the problem appeared to be far more fundamental. The
way in which news is made and disseminated, the way
the newsroom operates, had to be revised. A transfor-
mation of the core business was imperative. Top journal-
ism only is unable to generate a competitive edge in
times of a current and dynamic multimedia mix from all
sides on every conceivable screen. Interesting and po-
lemical messages and articles are flying across the Inter-
net to inquisitive readers. However, the sender is not
The New York Times but rather The Huffington Post, Vox
or BuzzFeed. Also The Washington Post, which was saved
by Jeff Bezos (CEO and founder of Amazon) and now has
turned to the new formulas, has joined the ranks of dis-
ruptors, drawing attention away from the venerable New
York Times. While new entrants embrace citizen journal-
ism, social media, and mobile apps such as Flipboard,
The New York Times was confident to preserve its ma-
jestic status. Backed by indisputable figures, the news-
paper now feels the urge of challenging the potential
disruptors that swallow its pie.
“Our competitors,
particularly digital-native
ones, treat platform
innovation as a core
function.”
The New York Times
Three months after The New York Times, in June 2014,
the U.S Armed Forces through The Center for a New
American Security (CNAS) sounded the alarm about the
5
American forces’ weakening grip on the new technologi-
cal developments that are relevant to everyone who
wants to dominate others. It is all recorded, black on
white, in the report entitled Creative Disruption: Strate-
gy, Technology and the Future Defense Industry, which
was presented by the task force of the same name at the
eighth annual CNAS conference.
Here too, just as was the case with The New York Times,
we read that the once-so-powerful defense industry es-
tablishment feels itself threatened in its position as en-
gine and inventor of innovation. For generations, the
Pentagon developed transformative technology from
which the commercial sector gladly benefited, such as
GPS and the Internet. But the U.S. Department of De-
fense is now sinking under the weight of regulations that
were created to allow third parties doing business. The
barriers are so high that only the less creative defense
industry establishment supplies goods to the depart-
ment. At present, there are no defense suppliers in the
world top 20 of industrial R&D innovators, and even the
five most prolific suppliers together would not reach the
top 20. Boston Dynamics, which does belong to the world
top, was bought by Google in 2014. Their advanced robot
technology may not be available to the Department of
Defense in the future because Google decided not to
hand over any more ownership of innovations.
The New York Times and the Pentagon fear to become
victims of disruptive innovations. Both feel they are los-
ing their grip on the rules of play. Digital and business
model innovations are taking over the market at an enor-
mous rate, but the response mechanisms are sluggish,
and in many cases erroneous. From the media to the
defense industry: nowadays every organization can be
prey to new players, new technology and new solutions
that dovetail amazingly well with actual market needs.
Brian Chesky, the CEO of the highly successful digital
Airbnb platform, says:
“We’re living in a world where
people can become businesses
in 60 seconds.”
Brian Chesky
6
The Rise of airbnb.com
#Bookings
4M
3M
2M
1M
0 2008 2009 2010 2011 2012
Year
2013
Source: http://www.airbnb.com/annual
Year
Airbnb grew from the necessity of selling a night’s worth
of air bed space to help pay the rent for a small apart-
ment to a popular broker service that accommodated
four million guests worldwide in 2013. Such disruptive
digital and business model innovations confront the busi-
ness establishment with a huge dilemma:
•	How can we see such innovations coming?
•	What can we do to stop them: imitate or outbid?
•	What does it mean for traditional business: how long
can we keep up?
Disruptive innovations can be slowed down and delayed
by regulation. This may happen to the irritation of the
companies and directors, clients and customers, or a for-
mer European Commissioner, such as Neelie Kroes. In
April 2014, she castigated the banishment of the digital
taxi and transportation platform Uber from Brussels, the
EU capital, as follows:
“I am outraged at the decision
today by a Brussels court to ban
Uber, the taxi-service app.”
Neelie Kroes 
former European Commissioner
1M
7
“The court says Uber drivers should have €10,000
fines for every pick-up they attempt. Are they
serious? What sort of legal system is this?
	 This decision is not about protecting or help-
ing passengers — it’s about protecting a taxi car-
tel. The relevant Brussels Regional Minister is
Brigitte Grouwels. Her title is “Mobility Minister”.
Maybe it should be “anti-Mobility Minister”. She
is even proud of the fact that she is stopping this
innovation. It isn’t protecting jobs Madame, it is
just annoying people!”
Source: http://ec.europa.eu/commission_
2010-2014/kroes/en/content/crazy-court-
decision-ban-uber-brussels-show-your-anger
Going down in the Disruption Valley of Death
Incumbent value
Time
Overconfidence
Sudden
collapse
Too little, too late Ongoing decline 
1
2
3 4
Source: http://techcrunch.com/2014/01/19/uber-and-disruption
Overconfidence and the
Disruption Valley of Death
The reaction to the first cracks in a business model is
often one of audaciousness and denial: we have always
had hegemony — as in the case of the Pentagon and The
New York Times — so why would this suddenly change?
But, before you know it, it may be too late and a compa-
ny unwittingly but irreversibly slips away into the Disrup-
tion Valley of Death.
8
New alarming management literature, such as Exponen-
tial Organizations: Why new organizations are ten times
better, faster, cheaper than yours (and what to do about
it), advises organizations to invest themselves in disrup-
tive innovation. Or, as Gary Hamel says:
“The single biggest reason
companies fail is that they
overinvest in what is, as
opposed to what might be.”
Gary Hamel 
For the past thirty years we were in the construction
phase of digital infrastructure and business models.
Now, it is time to harvest. The only thing that appears to
be necessary is to escape from the principle that Kevin
Kelly named after Clay Shirky:
This is not easy for established companies which are pri-
marily oriented to innovative maintenance (sustaining
innovations) and to efficiency renewal. They may never
arrive at empowering or disruptive innovation, largely
because they are afraid, justifiably or not, of undermin-
ing their own position.
Empowering innovations:	Think disruptively.
Create a large-scale impact.
Sustaining innovations:	Improvements.
Better outcomes, the same
products.
Efficiency innovations:	 Cost-saving innovations.
“Institutions will try to
preserve the problem to which
they are the solution.”
Clay Shirky
9
The bridge that the disruption-hit establishment is
hastily attempting to build to win back customers,
often already crumbles apart under its feet. Hit by
disruptive innovation, it most of the time is simply too
late for the establishment, as numerous real-life
examples have shown.
Disruption according to The New York Times
Disruption is a predictable pattern across industries in
which fledgling companies use new technology to offer
cheaper and inferior alternatives to products sold by es-
tablished players (think Toyota taking on Detroit decades
ago). Today, a pack of startups are hoping to “disrupt”
our industry by attacking the strongest incumbent — The
New York Times. How does disruption work? Should we
be defending our position, or disrupting ourselves? And
can’t we just dismiss the BuzzFeeds of the world, with
their listicles and cat videos?
Efficiency
innovation
Reducing production
of transportation costs
E.g. auto insurance
writers using the
Internet
•
•
Three Types of Innovation
Sustaining
innovation
Product replacements
from one model to a
similar, slightly better
one
E.g. replacing an
annuity
•
•
Empowering
innovation
Expanding the market
from costly items for
the few to mass-market
items for the many
E.g. from whole-life
to term products
•
•
most companies
invest here
70% of current
shareholder return
•
•
majority of current
innovation here
translating into
zero sum economic
game “Sustaining innovation is controlled
by incumbents, but disruptive
innovation is owned by new companies”
—Clayton Christensen
•
•
here lie solutions
to coming threats
70% of future
income
•
•
Sustaining innovation
Disruptive innovation
Disruptive Breakthrough
Quality
Minimum
customer need
Time
1 2 3
10
Here’s a quick primer on the disruption cycle:
1.		Incumbents treat innovation as a series of incre-
mental improvements. They focus on improving the
quality of their premium products to sustain their
current business model.	
For The Times, a sustaining innovation might be
“Snowfall.”1
2.		Disruptors introduce new products that, at first, do
not seem like a threat. Their products are cheaper,
with poor quality — to begin with.	
For BuzzFeed, a disruptive innovation might be so-
cial media distribution.
3.		Over time, disruptors improve their product, usually
by adapting a new technology. The flashpoint comes
when their products become “good enough” for
most customers.	
They are now poised to grow by taking market share
from incumbents.
Hallmarks of disruptive innovators
•	Introduced by an “outsider.”
•	Less expensive than existing products.
•	Targeting underserved or new markets.
•	Initially inferior to existing products.
•	Advanced by enabling technology.
Marc de Jong 	
CEO Professional Lighting Solutions Philips
2009—2013
From Marc’s LinkedIn: “... built the global leader with over
1 B$ sales in LED-based solutions (growth 400% in 4 years with
accreditive margins) making Philips the undisputed leader in
this field. PLS obtained double the marketshare in the Digital
LED world versus its share in the analogue conventional tech-
nology by applying systematically the rules of the Innovator’s
Dilemma. Simultaneously we moved from a pure product com-
pany into a solutions provider quadrupling sales to over
400M$.”
1)	http://www.nytimes.com/projects/2012/
snow-fall/#/?part=tunnel-creek
The design strategy of Philips Lighting
It all sounds rather unsettling, but it is possible to bridge
the Valley of Disruption, even if we do not see that hap-
pening too often. Perhaps the most concrete and inspir-
ing statements have been made by Marc de Jong in his
LinkedIn profile (see below). The former CEO of Philips
Professional Lighting Solutions concisely describes the
success the company was able to book through a lucid
and systematic approach. The lighting bulb industry
faced competition from outsiders who introduced LED
lighting to the market. At first, this type of illumination
was not particularly attractive to the eye, it was techno-
logically inferior and the normal light bulb seemed to
have a benign future. In the meantime, LED has become
the norm and also provides numerous other possibilities
such as smart lighting. Philips, today indisputably rank-
ing among the disruptively innovative LED lighting lead-
ers, reaped success by systematically following the rules
of Clayton Christensen, as expressed in his 1997 book
The Innovator’s Dilemma:
11
Philips now is in the business of smart LED lighting. In
addition to light, the lamps can also emit digital data.
The company is also oriented toward the rapidly growing
so-called “beacon” industry which enables new forms of
contact between the shopping public and retailers.
Former Microsoft top executive Steven Sinofsky, who is
currently Board Partner at the renowned venture capital
company Andreessen Horowitz, shares his four-stage
analysis of the working of disruptive innovation in terms
of disruption, evolution, convergence and reimagination
for both low-end situations like Airbnb and high-end ones
like Philips Lighting:
12
On the right-hand side is the established incumbent who
moves through the steps from “deny” to “too late.” On
the left-hand side we have the challenger who evolves
from a niche solution to a benefit-for-all situation:
Source: http://recode.net/2014/01/06/the-four-stages-of-disruption-2/
The Four Stages of Disruption
1
Disruption
Introduce
product with
new point
of view
Innovate
rapidly along
this new
trajectory
Complete value
proposition
relative to
legacy
Re-think the
entire
category
2
Evolution
3
Convergence
4
Reimagination
Stage Disruptor Incumbent
Disruption
of Incumbent
Introduces new product with a distinct point
of view, knowing it does not solve all the
needs of the entire existing market, but
advances the state of the art in technology
and/or business.
New product or service is not relevant to
existing customers or market (also known as
“deny”).
Complete
Reimagination
Approaches a decision point as new entrants
to the market can benefit from all your
product has demonstrated, without embracing
the Legacy Customers as done previously.
Embrace legacy market more, or keep pushing
forward?
Arguably too late to respond, and begins to
define the new product as part of a new
market, and existing product part of a larger,
existing market (also known as “retreat”).
Rapid linear
Evolution
Proceeds to rapidly add features and capabili-
ties, filling out the value proposition after
initial traction with select Early Adopters.
Begins to compare full-featured product to
new product and show deficiencies (also known
as “validate”).
Appealing
Convergence
Sees opportunity to acquire broader customer
base by appealing to Slow Movers. Also sees
limitations of own new product and learns
from what was done in the past, reflected in a
new way. Potential risk is being leapfrogged
by even newer technologies and business
models as focus turns to “installed base” of
incumbent.
Considers cramming some element of disrup-
tive features to existing product line to
sufficiently demonstrate attention to future
trends, while minimizing interruption of
existing customers (also known as “compete”).
Potential risk is failing to see the true value or
capabilities of disruptive products relative to
the limitations of existing products.
Source: http://recode.net/2014/01/06/the-four-stages-of-disruption-2/
13
This mirrors the way in which Airbnb, Uber, Bitcoin, Tes-
la, Philips and Amazon, among others, are currently act-
ing. These players target existing industry by offering a
cheap and richer alternative that appeals to an ever
growing market. First of all they build a platform that
everyone can join and utilize. For example, Airbnb pro-
vides one where people can offer their own home for
temporary hire (bed and breakfast). A completely new
(local) economy has now arisen around Airbnb, in which
contract cleaners and restaurants also eagerly partici-
pate. Are you hiring an apartment here? If so, we can
ensure that you can leave it nice and clean when you
leave. And, when you’re here, these are the best places
to eat at a reduced rate. All such initiatives ensure that
the acceptation of the platform gradually increases and
that it can be quickly rolled out due to the network ef-
fect. In the wink of an eye, new companies with a turn-
over of billions suddenly arise, mowing down many of the
existing industrial sectors.
14
2	 INNOVATOR DILEMMAS AND EROOM’S LAW
The CNAS defense report from June 2014 discusses Cre-
ative Disruption, a tribute to the Austrian economist Jo-
seph Schumpeter, who introduced the concept of cre-
ative destruction in 1942. With this, he described the
dynamics of innovation in which new technology consis-
tently heralds a new age at the cost of existing business.
Fifty-five years later, Harvard professor Clayton Chris-
tensen refined this concept into disruptive innovation in
his book The Innovator’s Dilemma: When New Technolo-
gies Cause Great Firms to Fail. Down through the years,
this train of thought, to which a whole library has been
devoted by now, has been generally acclaimed. At pres-
ent, the subtitle has become: The Revolutionary Book
that Will Transform the Way You Do Business. There is
also some harsh criticism, however. In June 2014, Jill
Lepore wrote a polemic article in The New Yorker, “The
Disruption Machine,”2
in which she expressed doubt
about the quality of Christensen’s research and his con-
clusions. The dust has now settled and Christensen — ac-
cording to the reaction of experts on the web — has re-
mained proudly standing. Still, it is interesting to read
that Christensen often betted on the wrong horse with
his own capital fund. For example, he did not believe in
the potential success of Apple’s iPhone.
2)	http://www.newyorker.com/magazine/2014/06/23/
the-disruption-machine
The evolution that innovators have to cope with lies not
only in the way in which the challengers are capturing
the market but also in the rate of disruption. Disruptive
innovations are now occurring much more rapidly due to
digital acceleration, its intimate relationship with busi-
ness models and customer experience, and globalization
Martec’s Law of Disruption
Time
Tech
Org
Technology
changes
exponentially Technology
management is
deciding which
changes are adopted
Organizations
change
logarithmically
?
?
Source: Scott Brinker, http://chiefmartec.com
15
of the economy. Smartphones, cloud computing, social
media, the Internet of Things and (Big Data) analytics are
developing much faster than organizations can keep up
with. This situation is called Martec’s Law, named after
the weblog of marketing technologist Scott Brinker.
The exponential growth of technology is directly derived
from Moore’s Law, which predicts that the capacity of
computers doubles every eighteen months if costs re-
main constant. In contrast, organizations change slowly.
A group of researchers named this growth curve “Eroom’s
Law” in an article in the Nature journal. It is Moore’s
Law, spelled backwards.3
The article analyzes the cause
of the diminishing successes of RD in the pharmaceuti-
cal industry. Management fixation turns out to be the
most significant reason for the fact that new break-
throughs take so long to be realized, and one of the
causes is the “Better Than The Beatles” effect:
“The Better Than The Beatles effect is what we face as we
continue to compete against our greatest hits of the past.” 4
It may be an explanation of why organizations lag behind
their rivals — because they place too much faith in the
old repertoire. Or, following Clayton Christensen, it may
explain how even the most outstanding companies can
do everything right — yet still lose market leadership or
even collapse. Most companies miss out on new waves of
innovation. No matter the industry, Christensen says, a
successful company with established products will get
pushed aside unless managers know how and when to
abandon traditional business practices.
3)	http://www.nature.com/nrd/journal/v11/n3/full/nrd3681.html
4)	http://pipeline.corante.com/archives/2012/03/08/erooms_law.php
16
3	 THE ENTERPRISE IN TIMES OF EXPONENTIAL ACCELERATION
In 2001, Richard Foster and Sarah Kaplan showed, via the
Standard  Poor’s index, just how fast creative destruc-
tion can work. This index was first drawn up in 1923 and
listed 90 major American companies, all of which re-
mained on the list for an average of 65 years. Around
1997, the year in which The Innovator’s Dilemma was
published, the average lifespan of a company on this list
had decreased to 10 years, and only 74 of the first
500 companies listed on the SP index in 1957 remained.
During that whole period, only 12 companies performed
better than the index itself. In 2014, a comparative in-
vestigation by Sogeti VINT of the lifespan of companies
on the AEX-Euronext index shows a similar pattern. Ex-
trapolation of the data of this investigation reveals that,
since 1993, in measurement intervals of 10 years, the
lifespan of AEX notation has decreased by 20 years. If
this trend continues, the average lifespan of companies
on the AEX index will decrease to 25 years in 2023 and
dwindle to a mere 5 years in 2033.
Foster and Kaplan’s pitch: well-established companies
may think they have eternal life, but the figures prove
otherwise. The ever-increasing speed at which one inno-
vation succeeds another is hard to keep up with. The
following title of Foster and Kaplan’s book is a reference
to other popular books on management, such as In
Search of Excellence, Good to Great, What Really Works
and Built to Last (by Jim Collins, 1994):
“Creative Destruction. Why
Companies That Are Built to
Last Underperform the Market
— And How to Successfully
Transform Them.” 5
Richard N. Foster  Sarah Kaplan  2000
5) http://itech.fgcu.edu/faculty/bhobbs/Creative%20
destruction%20McKinsey%20Report%20CDch1.pdf
17
17
Cutting-edge technological development today is an ex-
ponential, digital and combinatorial process. There is an
obvious change in the adoption curves of new technolo-
gies, which once used to follow a linear path, whereas
nowadays the patterns are increasingly exponential.
New Technologies’ Adoption Curves
Telephone
Radio
Computer
Color TV
VCR
Cell phone
Internet
Year
1915 1930 1945 1960 1975 1990 2005
18
Life Cycle Disruptive vs. Incumbent Market
Big Bang Market
Time
Innovators
Earlyadopters
Earlymajority
Latemajority
Laggards
Trial users Everybody else
Paul Nunes  Larry Downes, 2014
Shark fin: exponential adoption of innovation
In his book Diffusion of Innovations (1962), Everett Rog-
ers was the first to describe the life cycle of a product.
He distinguishes five different stages, all of which follow
a normal distribution, with five types of consumers: the
innovators, the early adopters, the early majority, the
late majority and the laggards. Recently, in their book
entitled Big Bang Disruption, Larry Downes and Paul
Nunes indicated that distribution and adoption of inno-
vations no longer follow the normal distribution curve.
New technology has reduced the number of consumer
types to only two: guinea pigs (trial users) and the rest
(everybody else). The bell curve has been replaced by a
sharkfin.
In her article “The Pace of Technology is Speeding Up,”6
Rita Gunther McGrath, professor at Columbia Business
School, author of the book The End of Competitive Advan-
tage, and ranking among today’s top ten major manage-
ment thinkers on the Thinkers50 list, states that the in-
crease in the speed at which innovations are adopted puts
6)	http://blogs.hbr.org/2013/11/the-pace-of-technology-adop-
tion-is-speeding-up/
19
— logically — great pressure on companies to innovate at
an even greater rate. Every competitive edge is only tem-
porary, there are fewer barriers, the existing players on
the market must innovate at a greater speed lest they be
overtaken by their competitors. Innovation must become
the most important process within a company.
James McQuivey, vice-president and principal analyst at
Forrester Research and author of the book Digital Dis-
ruption, has expressed this increasing speed of innova-
tion in the formula below. He states that today’s digital
technology causes the effects of disruption to be a hun-
dred times stronger, at one tenth of the costs, and with
ten times as many innovators in the market.
20
4	 BEYOND THE NEW NORMAL
The term New Normal has become the inspiring cliché
for all changes that have occurred since the recent eco-
nomic crisis and its aftermath. The whole thing started
with the abnormal behavior of the financial markets
(and the resulting crisis, which had a normalizing effect
on the situation), but soon the term began to be used
within a socio-economic context for everything that was
to become the new norm: a definitive end point with
new principles of design, where everything is again sta-
ble and steady, but different from the way to which we
were accustomed.
In fact, it appears that disruption itself has become the
New Normal. Arguments in favor of this assumption may
be found in Clayton Christensen’s inspiring enthusiasm or
in the decrease in the lifespan of companies on the Stock
Exchange. However, for a comprehensive predictive the-
ory we turn to the Neo-Schumpeterians, named after the
famous Austrian economist who lived from 1883—1950.
From professor Carlota Perez’s elaboration of Schumpet-
er’s ideas we learn that:
1.		We are only just at the beginning of the era of digital
applications and ditto disruptions.
2.		This situation is likely to last for quite a while.
3.		There are opportunities for everyone: the “Golden
Age” in the area of innovation lies in the future.
An explanation for the great speed at which the changes
take place may be found in Carlota Perez’s book Techno-
logical Revolutions and Financial Capital (2002), in which
she explains the economic undulating movements — the
so-called Kondratieff waves, which occur at regular inter-
vals with a frequency of about sixty years. Following
Schumpeter, Ms. Perez says that these movements are
caused by the introduction of new infrastructural technol-
ogy, such as the impact that water and steam have had on
history, or oil and steel. Today, we have digital technology.
Every wave is subject to a number of (fixed) rules or pat-
terns and goes through two phases: the installation phase,
in which a new technology is introduced, distributed and
multiplied, which changes the prevailing logic of innova-
tion and leads to the establishment of a new infrastruc-
ture and the modernization of the existing industries. This
period starts with a financing wave and ends with a bub-
ble that will eventually burst. What follows is the so-called
deployment phase, in which the newly developed infra-
structure is put to full use. We have witnessed similar
cycles on several occasions, such as after the introduction
of the railway, the automobile, steel, and canals (in Brit-
ain), for example, which all led to infrastructural innova-
tions. At first, it was a predominantly technical revolution
(the installation phase) which later on led to an institu-
tional revolution (the deployment phase). This means that
each aspect of the old system needs to be revised,7
with
much less emphasis being placed on small improvements
7)	 Further information, including the role of economic crises
and the technological phases, can be found on http://
www.carlotaperez.org/pubs.
Video: “30 years to go” — Carlota Perez on the IT wave,
http://vimeo.com/53577644
21
in the process, thus on incremental and sustaining inno-
vations, but with many more possibilities to alter the
rules of play, “to take into production” the built infra-
structure, and an increasing necessity to take apparently
inferior rivals most seriously.
Like Carlota Perez, the visionary and Internet pioneer
Kevin Kelly believes that the really great breakthrough is
still ahead of us. He regards the past thirty years of dig-
ital development as a starting point, an overture to
things yet to come — to which he adds, reassuringly:
“You’re not too late.” He says:
Recurring phases of each great surge in the core countries
Degree of diffusion of the technological revolution
Previous Great Surge
Big Bang Next Big BangCrash
Institutional
Recomposition
Next Great Surge
Source: Perez, Technological Revolutions and Financial Capital (2002)
Time
IRRUPTION
FRENZY
SYNERGY
MATURITY
Techno-economic split
• Irruption of the technological revolution
• Decline of old industries
• Unemployment
Financial bubble time
• Intensive investment in the revolution
• Decoupling of the whole system
• Polarization of rich and poor
• Gilded Age
Golden Age
• Coherent growth with
increasing externalities
• Production and employment
Socio-politic split
• Last products  industries
• Market saturation and techn.
maturity of main industries
• Disappointment vs. complacency
Deployment
Period
Installation
Period
Turning
Point
“The Internet is still at the beginning of its beginning. [...]
The last 30 years have created a marvelous starting point,
a solid platform to build truly great things. However, the
coolest stuff has not been invented yet — although this new
greatness will not be more of the same-same that exists
today. It will not be merely ‘better’, it will be different,
beyond, and other.”
Kevin Kelly
22
5	 GEARING INTO OVERDRIVE
You may not be too late, but you may very well be too
slow. As digital technology (and digital disruption) is of a
different order, the phase Carlota Perez describes could
very well take place much more abruptly and faster than
we can now foresee. The digital-physical interaction is
unique in its kind. The digital world, for example, is
characterized by abundance, whereas the physical world
is governed by the scarcity of goods and services. In
short, this might imply a distinct break with Schumpet-
er’s and Perez’s theories.
John Hagel, author and founder of the Deloitte Center
for Edge Innovation, says that digital disruption is, in-
deed, unique in its kind and that it will cause changes at
a much greater speed than expected. His conclusion is
that stability and steadiness are impossible and that
there is hardly any reference material. The rules for suc-
cess have yet to be written:
“Digital technology is different — in fact, it’s unprecedented
in human history. It’s the first technology that has
demonstrated sustained exponential improvement in price/
performance over an extended period of time and
continuing into the foreseeable future.”
John Hagel
23
The second phase in Perez’s techno-economic frame-
work, the roll-out phase, might then be different from
what we have seen in previous wave movements. In-
deed, Hagel states that we will also see more disrup-
tion(s) in adjacent areas:
“This exponentially improving digital technology is spilling
over into adjacent technologies, catalyzing similar waves
of disruption in diverse arenas like 3-D printing of
physical objects, biosynthesis of living tissue, robotics
and automobiles, just to name a few. The advent of
exponentially improving technologies in an expanding
array of markets and industries only increases the
potential for disruption.”
John Hagel
In their book Exponential Organizations, Salim Ismael,
Mike Malone and Yuri van Geest speak of an informa-
tion-based paradigm, with a physical world that obvious-
ly still exists, but it is the relation with that physical
world that is changing fundamentally. Information and
knowledge systems create an entirely new filter through
which we look at the world around us and the way in
which we can organize, structuralize and make our
world.
24
6	 FOUR DESIGN TO DISRUPT CHALLENGES
The challenges are substantial, but their contours are
now beginning to become clear. For further research,
and for the alignment of the discussions we conduct on
these topics with these organizations, we concentrate
on a number of research issues. At this stage, we distin-
guish four developments that form the basis of disrup-
tive innovations. First of all, there is the question of how
to deal with this vast digital acceleration. What does
Continuous Design signify in the light of existing business
culture? Trust in the scalability of this Continuous Design
is a second design principle. New platforms play an im-
portant role in this framework. The design of new busi-
ness models, particularly in the context of new cy-
ber-physical relations through SMACT technologies
(Social, Mobile, Analytics, Cloud, Things), is the third
focal point. The fourth is the design of the customer and
employee obsession.
A   Continuous Design in the digital era
If disruption has become the New Normal, it makes per-
fect sense to work on an organization’s Continuous De-
sign. Forbes columnist Steve Denning, who previously
worked for the World Bank and is now an Amazon Affili-
ate and director of the Scrum Alliance, wrote a relevant
article on this subject, entitled “Clayton Christensen
And The Innovators’ Smackdown.” He concluded that
Continuous Disruption is the way to go. An example of
this can be found in Alan Moore’s book No Straight Lines,
in which he describes how organizations should con-
stantly monitor and adapt their organizational “design”
and strive for a “Permanent Beta” state. Others, such as
the Silicon Valley entrepreneur Eric Ries, give a similar
advice: convert your enterprise into a “lean startup.”
However, this is easier said than done, as such a cultural
switch cannot be realized overnight.
Disruptive Innovations
Design Issues
Empathize
1
Define
2
3
Ideate
4
Prototype
5
Test
25
B   The design of trust
On top of all these technologies, the so-called Platform
Economy is building out. Thanks to the new opportuni-
ties, there is a tendency to return to the human mea-
sure, in which human contact again becomes of para-
mount importance. Trust becomes scalable thanks to the
application of information technology, which enables us
to solve an old problem. Economic activity is developing
from stage 1.0 to 4.0, where the fourth stage that we are
entering now corresponds with the network organiza-
tion, this time enriched with advanced algorithms and
artificial intelligence that make trust scalable.
Companies such as Airbnb and Uber use assessment sys-
tems that are transparent to all, which makes it possible
to e.g. appraise the renter of an apartment, but also the
guest. Likewise, you can assess the driver of a vehicle as
well as the passenger. Trust is made scalable by comput-
er software, which makes it possible to take the step
towards technology-driven, distributed, bottom-up net-
works that consist of individuals and communities. The
future seems to be the reverse of the centralized twen-
tieth century. Platforms such as Airbnb, GitHub, Home-
joy, Uber, Kickstarter, Bitcoin, TaskRabbit and Coursera
are the front runners in this development. Trust is no
longer something that is monitored and controlled by
companies, institutions and governments, but is built up
online. The network, the algorithm, is the trusted party,
in which the individual’s reputation (or that of an intelli-
gent machine) is the new currency.
The Design of Trust
Internet 4.0
Source: Sander Duivestein, Ronald van den Hoff, Marco Derksen, 2014
Algorithms
Algorithms
Organizations
Stakeholders
2.01.0 4.03.0
26
C   The design of new service and business
models
Digital disruption, leading to exponential acceleration
and scalable platforms, requires and leads to new busi-
ness models. In this context, John Hagel uses the term
“re-think business models” (see quote below).
In this new world it is not the ownership of products that
counts, but the access to these products via services. In
practice we see more and more examples of this princi-
ple: hotel service, taxi service, educational service,
healthcare service and banking service. The key to suc-
cess for future companies is to crowdsource their pro-
duction. In such a network economy, where value is cre-
ated on various platforms, an economic entity plays one
of the following roles: as a consumer, as a producer, or
as the network itself. In practice, these roles will be
strongly mixed. Therefore, companies will have to look
at their corporate processes with different eyes. They
will have to set up their corporate functions around dig-
ital platforms and regard their employees, suppliers and
customers as participants on these platforms. This
means that the traditional boundaries of the organiza-
tions will automatically fade, and become less notice-
able. In the achievement of a company’s final objective,
when and who plays which role — consumer, producer or
platform — will become less important. An organiza-
tion’s environment is no longer filled in by clearly recog-
nizable, organized units, but by a crowd of autonomous
platform agents. Sharing is the new having, and the
crowd is the new company. Thus, the consumer is the
hotel, the software designer, the cleaning agency, the
taxi office, the startup, the bank, the job agency and
the teacher.
“These two forces — exponentially improving technology and
economic liberalization — are combining to create environments
that are increasingly vulnerable to disruption. In economic terms,
they are doing two things. First, they are systematically and
substantially reducing barriers to entry and barriers to movement
on a global scale. Second, exponentially improving technology is
offering untapped capabilities that can be a catalyst to
fundamentally re-think business models and institutional
arrangements.”
John Hagel 
27
D   The design of client obsession
Technological forces such as Social, Mobile, Analytics
and Cloud have reached maturity and, in conjunction
with interconnected Things, form a new SMACT alliance.
In the next thirty years, the digitally transformed world
will be implemented in the physical world: from bits to
atoms. And the new world will look totally different from
what we are accustomed to. It is thanks to digital tech-
nology that we are able to equip, arrange and organize
the physical world in a completely different way.
Looking at Ms. Perez’s five waves, we can establish that
the infrastructure for the digital world (the digital high-
way) was constructed in the past thirty years, during the
installation period. It is, as it were, the transition of at-
oms into bits. In his book Being Digital (1995), Nicholas
Negroponte, founder of the MIT Media Lab, argues that
“bits are the new atoms.” In his opinion, all information
that is stored in atoms (books, CDs, etc.) will eventually
be converted to bits. In his book Free (2009), Chris An-
derson, former editor-in-chief of Wired magazine, claims
the opposite: “atoms are the new bits.” In the coming
thirty years, the Digital Transformation will be morphed
into a Physical Transformation. With this, the circle will
be closed: from atoms to bits and on to atoms again.
Thus, the Digital First strategy can equally well be rein-
terpreted as Physical First strategy.
Two inspiring thoughts come up. The old web world, the
time of e-commerce when the Internet was something
that had to be accessed deliberately, was predominantly
a self-service era. In the new SMACT applications,
self-service has been changed back to service once more
while consumers and clients can be accommodated much
better. What have changed — in a disruptive way — are
the new possibilities. This development forms the basis
for the second thought, namely that the experience is all
that counts. Interactive moments (touchpoints) are all
mobile, and may occur anywhere: at home, in the street,
on the workfloor, in shops, on the battlefield. These Mo-
bile Moments form the basis of an entirely new concept
of customer contact.
28
7	 CONCLUSION AND CONSIDERATIONS FOR THE CIO
Assuming that exponentially growing technology is an in-
evitable factor in the current era, it is imperative that
organizations develop a structure and a matching culture
in which accelerated change is the New Normal. This
places special demands on an organization’s corporate
environment and strategy, in which room for experi-
ment, pioneering and innovation are common daily prac-
tice. Too often, these conditions are absent from large,
sluggish and bureaucratic organizations. Institutions will
try to preserve the problem to which they are the solu-
tion. However, the first outlines of this new type of orga-
nization are looming on the horizon.
The seven points below are a summary of the design
principles that are imperative to effectuate disruptive
innovation.
1.		Exponential growth of technology. The consequent
disruptive innovations put pressure on existing com-
panies. Owing to the constantly changing (business)
environment, companies have to constantly change
and adapt (Continuous Design).
2.		It is imperative that a corporate culture is created in
which innovation is embraced, instead of confronted
with feelings of distrust or resistance. Innovation
must become the major process within a compa-
ny.
3.		Trust made scalable by technology. From centrally
controlled organizations we are moving towards de-
centralized, distributed platforms. Existing compa-
nies must be unbundled. The physical world will be
organized and structuralized in substantially differ-
ent ways from those to which we are accustomed,
thanks to the deployment of digital technology. As a
direct result, IT and business will merge seamlessly
into one another. One possible consequence of this is
a rise in technological unemployment, as work is in-
creasingly taken over by robots and algorithms.
4.		Platform economy players such as Bitcoin, Airbnb and
Uber show us a world in which transparency is the
new norm, and where, as a consequence, everyone
can assess one another. It is no longer about owner-
ship/possession/control of products, but about
having access to / controlling all kinds of services.
This requires and opens up all kinds of possibilities
for new working methods. Reputation becomes the
new currency.
5.		Information technology democratizes. Now, the
consumer possesses the tools to optimize his experi-
ence. The customer is the radiant central point, the
linchpin around which the new economic systems re-
volve. More than ever, the customer is king.
6.		The anxious customer obsession from the past has
made way for a wave of new opportunities. Thanks
to SMACT, it is now possible to create surprising cus-
tomer experiences at all conceivable mobile-contact
moments. After the initial transformation of atoms
into bits, they now materialize once again in the ac-
tuality of our physical world. With a further thrust
of bits into atoms, the circle of service to the cus-
tomer will be closed with a focus on Mobile Mo-
ments to accommodate every need and wish.
7.		The role of the CIO will be the outcome of a dilem-
matic debate which Michael Raynor and Clayton
Christensen, author of The Innovator’s Solution,
characterize as follows:
29
better positioned to help take advantage of these tools
than the CIO?
tuned to its specific needs.
CIOs should sustain the business.
Point
Efficiency, effectiveness and regulatory mastery are even
more important now. CIOs should focus on sustaining
innovations that address today’s growing concerns.
CIOs should lead disruption.
Social computing, mobility and the cloud aren’t just
changing society, they’re disrupting business. Who’s
Technology is the fuel, not the driver.
Technology enables innovation, but the business should
be doing the driving. The CIO should respond to the
needs of the business, not the other way around.
Technology can break constraints. That’s where
innovation happens.
The CIO is in a rare position to lead the creation
of disruptive business models given technology’s
prominence across business.
Immediate returns come from driving down costs.
IT is the largest capital expenditure in many companies.
Keeping up with technology’s declining cost curve is a
full-time job with a high return on investment.
You can’t shrink your way to greatness.
It’s worth the deliberate sacrifice of some efficiency
gains to achieve the potential long-term advantages
offered by disruptive innovations.
Chasing disruption is a crapshoot.
Better to focus on incremental improvements that are
more likely to pay off than risk limited resources on a
long shot.
The odds are better than you think.
Disruptive innovation is just as likely to pay off as
sustaining efforts when pursued deliberately and
consistently, with a strategy and operational metrics
Source: http://www.deloitte.com/assets/Dcom-UnitedStates/Local%20Assets/Documents/us_consulting_MeasuredInnovationDebate_022312.pdf
30
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Want to
participate in our
Design to Disrupt
research project?
Please send
an e-mail to
d2d@sogeti.com
About VINT  vint.sogeti.com
VINT, the Sogeti trend lab and part of Sogeti Labs, provides
a meaningful interpretation of the connection between busi-
ness processes and new developments. In every VINT publi-
cation, a balance is struck between factual description and
the intended utilization. VINT uses this approach to inspire
organizations to consider and use new technology.
About Sogeti  www.sogeti.com
Sogeti is a leading provider of technology and software testing, ­specializing
in Application, Infrastructure and Engineering Services. Sogeti offers cutting-
edge solutions around Testing, Business Intelligence  Analytics, Mobile,
Cloud and Cyber Security, combining world class methodologies and its
global delivery model, Rightshore®. Sogeti brings together more than
20,000 professionals in 15 countries and has a strong local presence in over
100 locations in Europe, USA and India. Sogeti is a wholly-owned subsidiary
of Cap Gemini S.A., listed on the Paris Stock Exchange.
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from Sogeti worldwide. Sogeti Labs covers a wide range
of digital technology expertise: from embedded software,
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Internet of Things. The focus is always on leveraging tech-
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Design to Disrupt: An Executive Introduction - Sogeti VINT

  • 1. Sander Duivestein, Jaap Bloem, Menno van Doorn, Thomas van Manen VINT  |  Vision • Inspiration • Navigation • Trends DESIGN TO DISRUPT An Executive Introduction
  • 2. 2 CONTENTS Disruption is the New Normal  3 1 Disruption, ranging from old media to the U.S. Department of Defense  4 2 Innovator dilemmas and Eroom’s Law  14 3 The enterprise in times of exponential acceleration  16 4 Beyond the New Normal   20 5 Gearing into overdrive  22 6 Four Design to Disrupt challenges  24 A Continuous Design in the digital era  24 B The design of trust  25 C The design of new service and business models  26 D The design of client obsession  27 7 Conclusion and considerations for the CIO  28 Illustrations and references  30
  • 3. 3 Disruptive technology Performance Most demanding use Time High quality use Medium quality use Disruptive technology Low quality use DISRUPTION IS THE NEW NORMAL This Executive Introduction to Design to Disrupt marks the start of a new research project. Three reports on the vigorous acceleration that is now taking place every- where form the basis of this venture. Your input is cer- tainly welcome and, in that respect, this is a request to join in. Interviews with directors and leaders of innova- tion sections — perhaps also from your organization — form an important ingredient of this new project. The challenge is a major one. Quite some notable people have remarked that existing organizations cannot match today’s disruptive innovations and that they should leave this field to lean startups. But Design to Disrupt is an imperative: an appeal to every organization that refuses to passively accept becoming obliterated, but truly be- lieves that pioneering innovations are indeed possible. The design of one’s own disruption is the focus of atten- tion in this process. This Executive Introduction initially may cause some fear. We begin with the Pentagon and The New York Times, which are afraid of losing themselves in the jun- gle of rapid developments. We present culture as every organization’s greatest enemy: frenetically embracing past successes, regulations and self-imposed rules that obstruct progress. And we present theories and state- ments that announce even more exponential accelera- tion than we see today. Internet pioneer Kevin Kelly states, “You’re not too late.” We are at the beginning of the harvest. Thirty years of investment in information technologies and dig- ital infrastructures has produced new platforms and nu- merous new possibilities. There is sufficient reason to assume that innovation is genuinely becoming easier rather than more difficult. Digital disruption and disruptive innovation is the New Normal. We invite anyone who regards this truism as a challenge to enter into our discussion about the follow- ing design issues: Continuous Design in the digital era, the design of trust, designing the ultimate customer ex- perience, and the design of new service and business models. Would you like to participate in Design to Disrupt? If so, please let us know. Contact: d2d@sogeti.com
  • 4. 4 1 DISRUPTION, RANGING FROM OLD MEDIA TO THE U.S. DEPARTMENT OF DEFENSE In March 2014, an openhearted New York Times internal report leaked out to the general public, exposing a lack of vision and execution regarding new media innovation. The research, on which a “dream team” of journalists, marketers and designers had worked, contained the analysis of hundreds of experts. They were assigned to develop an innovative news and information service but the problem appeared to be far more fundamental. The way in which news is made and disseminated, the way the newsroom operates, had to be revised. A transfor- mation of the core business was imperative. Top journal- ism only is unable to generate a competitive edge in times of a current and dynamic multimedia mix from all sides on every conceivable screen. Interesting and po- lemical messages and articles are flying across the Inter- net to inquisitive readers. However, the sender is not The New York Times but rather The Huffington Post, Vox or BuzzFeed. Also The Washington Post, which was saved by Jeff Bezos (CEO and founder of Amazon) and now has turned to the new formulas, has joined the ranks of dis- ruptors, drawing attention away from the venerable New York Times. While new entrants embrace citizen journal- ism, social media, and mobile apps such as Flipboard, The New York Times was confident to preserve its ma- jestic status. Backed by indisputable figures, the news- paper now feels the urge of challenging the potential disruptors that swallow its pie. “Our competitors, particularly digital-native ones, treat platform innovation as a core function.” The New York Times Three months after The New York Times, in June 2014, the U.S Armed Forces through The Center for a New American Security (CNAS) sounded the alarm about the
  • 5. 5 American forces’ weakening grip on the new technologi- cal developments that are relevant to everyone who wants to dominate others. It is all recorded, black on white, in the report entitled Creative Disruption: Strate- gy, Technology and the Future Defense Industry, which was presented by the task force of the same name at the eighth annual CNAS conference. Here too, just as was the case with The New York Times, we read that the once-so-powerful defense industry es- tablishment feels itself threatened in its position as en- gine and inventor of innovation. For generations, the Pentagon developed transformative technology from which the commercial sector gladly benefited, such as GPS and the Internet. But the U.S. Department of De- fense is now sinking under the weight of regulations that were created to allow third parties doing business. The barriers are so high that only the less creative defense industry establishment supplies goods to the depart- ment. At present, there are no defense suppliers in the world top 20 of industrial R&D innovators, and even the five most prolific suppliers together would not reach the top 20. Boston Dynamics, which does belong to the world top, was bought by Google in 2014. Their advanced robot technology may not be available to the Department of Defense in the future because Google decided not to hand over any more ownership of innovations. The New York Times and the Pentagon fear to become victims of disruptive innovations. Both feel they are los- ing their grip on the rules of play. Digital and business model innovations are taking over the market at an enor- mous rate, but the response mechanisms are sluggish, and in many cases erroneous. From the media to the defense industry: nowadays every organization can be prey to new players, new technology and new solutions that dovetail amazingly well with actual market needs. Brian Chesky, the CEO of the highly successful digital Airbnb platform, says: “We’re living in a world where people can become businesses in 60 seconds.” Brian Chesky
  • 6. 6 The Rise of airbnb.com #Bookings 4M 3M 2M 1M 0 2008 2009 2010 2011 2012 Year 2013 Source: http://www.airbnb.com/annual Year Airbnb grew from the necessity of selling a night’s worth of air bed space to help pay the rent for a small apart- ment to a popular broker service that accommodated four million guests worldwide in 2013. Such disruptive digital and business model innovations confront the busi- ness establishment with a huge dilemma: • How can we see such innovations coming? • What can we do to stop them: imitate or outbid? • What does it mean for traditional business: how long can we keep up? Disruptive innovations can be slowed down and delayed by regulation. This may happen to the irritation of the companies and directors, clients and customers, or a for- mer European Commissioner, such as Neelie Kroes. In April 2014, she castigated the banishment of the digital taxi and transportation platform Uber from Brussels, the EU capital, as follows: “I am outraged at the decision today by a Brussels court to ban Uber, the taxi-service app.” Neelie Kroes  former European Commissioner 1M
  • 7. 7 “The court says Uber drivers should have €10,000 fines for every pick-up they attempt. Are they serious? What sort of legal system is this? This decision is not about protecting or help- ing passengers — it’s about protecting a taxi car- tel. The relevant Brussels Regional Minister is Brigitte Grouwels. Her title is “Mobility Minister”. Maybe it should be “anti-Mobility Minister”. She is even proud of the fact that she is stopping this innovation. It isn’t protecting jobs Madame, it is just annoying people!” Source: http://ec.europa.eu/commission_ 2010-2014/kroes/en/content/crazy-court- decision-ban-uber-brussels-show-your-anger Going down in the Disruption Valley of Death Incumbent value Time Overconfidence Sudden collapse Too little, too late Ongoing decline  1 2 3 4 Source: http://techcrunch.com/2014/01/19/uber-and-disruption Overconfidence and the Disruption Valley of Death The reaction to the first cracks in a business model is often one of audaciousness and denial: we have always had hegemony — as in the case of the Pentagon and The New York Times — so why would this suddenly change? But, before you know it, it may be too late and a compa- ny unwittingly but irreversibly slips away into the Disrup- tion Valley of Death.
  • 8. 8 New alarming management literature, such as Exponen- tial Organizations: Why new organizations are ten times better, faster, cheaper than yours (and what to do about it), advises organizations to invest themselves in disrup- tive innovation. Or, as Gary Hamel says: “The single biggest reason companies fail is that they overinvest in what is, as opposed to what might be.” Gary Hamel  For the past thirty years we were in the construction phase of digital infrastructure and business models. Now, it is time to harvest. The only thing that appears to be necessary is to escape from the principle that Kevin Kelly named after Clay Shirky: This is not easy for established companies which are pri- marily oriented to innovative maintenance (sustaining innovations) and to efficiency renewal. They may never arrive at empowering or disruptive innovation, largely because they are afraid, justifiably or not, of undermin- ing their own position. Empowering innovations: Think disruptively. Create a large-scale impact. Sustaining innovations: Improvements. Better outcomes, the same products. Efficiency innovations: Cost-saving innovations. “Institutions will try to preserve the problem to which they are the solution.” Clay Shirky
  • 9. 9 The bridge that the disruption-hit establishment is hastily attempting to build to win back customers, often already crumbles apart under its feet. Hit by disruptive innovation, it most of the time is simply too late for the establishment, as numerous real-life examples have shown. Disruption according to The New York Times Disruption is a predictable pattern across industries in which fledgling companies use new technology to offer cheaper and inferior alternatives to products sold by es- tablished players (think Toyota taking on Detroit decades ago). Today, a pack of startups are hoping to “disrupt” our industry by attacking the strongest incumbent — The New York Times. How does disruption work? Should we be defending our position, or disrupting ourselves? And can’t we just dismiss the BuzzFeeds of the world, with their listicles and cat videos? Efficiency innovation Reducing production of transportation costs E.g. auto insurance writers using the Internet • • Three Types of Innovation Sustaining innovation Product replacements from one model to a similar, slightly better one E.g. replacing an annuity • • Empowering innovation Expanding the market from costly items for the few to mass-market items for the many E.g. from whole-life to term products • • most companies invest here 70% of current shareholder return • • majority of current innovation here translating into zero sum economic game “Sustaining innovation is controlled by incumbents, but disruptive innovation is owned by new companies” —Clayton Christensen • • here lie solutions to coming threats 70% of future income • • Sustaining innovation Disruptive innovation Disruptive Breakthrough Quality Minimum customer need Time 1 2 3
  • 10. 10 Here’s a quick primer on the disruption cycle: 1. Incumbents treat innovation as a series of incre- mental improvements. They focus on improving the quality of their premium products to sustain their current business model. For The Times, a sustaining innovation might be “Snowfall.”1 2. Disruptors introduce new products that, at first, do not seem like a threat. Their products are cheaper, with poor quality — to begin with. For BuzzFeed, a disruptive innovation might be so- cial media distribution. 3. Over time, disruptors improve their product, usually by adapting a new technology. The flashpoint comes when their products become “good enough” for most customers. They are now poised to grow by taking market share from incumbents. Hallmarks of disruptive innovators • Introduced by an “outsider.” • Less expensive than existing products. • Targeting underserved or new markets. • Initially inferior to existing products. • Advanced by enabling technology. Marc de Jong CEO Professional Lighting Solutions Philips 2009—2013 From Marc’s LinkedIn: “... built the global leader with over 1 B$ sales in LED-based solutions (growth 400% in 4 years with accreditive margins) making Philips the undisputed leader in this field. PLS obtained double the marketshare in the Digital LED world versus its share in the analogue conventional tech- nology by applying systematically the rules of the Innovator’s Dilemma. Simultaneously we moved from a pure product com- pany into a solutions provider quadrupling sales to over 400M$.” 1) http://www.nytimes.com/projects/2012/ snow-fall/#/?part=tunnel-creek The design strategy of Philips Lighting It all sounds rather unsettling, but it is possible to bridge the Valley of Disruption, even if we do not see that hap- pening too often. Perhaps the most concrete and inspir- ing statements have been made by Marc de Jong in his LinkedIn profile (see below). The former CEO of Philips Professional Lighting Solutions concisely describes the success the company was able to book through a lucid and systematic approach. The lighting bulb industry faced competition from outsiders who introduced LED lighting to the market. At first, this type of illumination was not particularly attractive to the eye, it was techno- logically inferior and the normal light bulb seemed to have a benign future. In the meantime, LED has become the norm and also provides numerous other possibilities such as smart lighting. Philips, today indisputably rank- ing among the disruptively innovative LED lighting lead- ers, reaped success by systematically following the rules of Clayton Christensen, as expressed in his 1997 book The Innovator’s Dilemma:
  • 11. 11 Philips now is in the business of smart LED lighting. In addition to light, the lamps can also emit digital data. The company is also oriented toward the rapidly growing so-called “beacon” industry which enables new forms of contact between the shopping public and retailers. Former Microsoft top executive Steven Sinofsky, who is currently Board Partner at the renowned venture capital company Andreessen Horowitz, shares his four-stage analysis of the working of disruptive innovation in terms of disruption, evolution, convergence and reimagination for both low-end situations like Airbnb and high-end ones like Philips Lighting:
  • 12. 12 On the right-hand side is the established incumbent who moves through the steps from “deny” to “too late.” On the left-hand side we have the challenger who evolves from a niche solution to a benefit-for-all situation: Source: http://recode.net/2014/01/06/the-four-stages-of-disruption-2/ The Four Stages of Disruption 1 Disruption Introduce product with new point of view Innovate rapidly along this new trajectory Complete value proposition relative to legacy Re-think the entire category 2 Evolution 3 Convergence 4 Reimagination Stage Disruptor Incumbent Disruption of Incumbent Introduces new product with a distinct point of view, knowing it does not solve all the needs of the entire existing market, but advances the state of the art in technology and/or business. New product or service is not relevant to existing customers or market (also known as “deny”). Complete Reimagination Approaches a decision point as new entrants to the market can benefit from all your product has demonstrated, without embracing the Legacy Customers as done previously. Embrace legacy market more, or keep pushing forward? Arguably too late to respond, and begins to define the new product as part of a new market, and existing product part of a larger, existing market (also known as “retreat”). Rapid linear Evolution Proceeds to rapidly add features and capabili- ties, filling out the value proposition after initial traction with select Early Adopters. Begins to compare full-featured product to new product and show deficiencies (also known as “validate”). Appealing Convergence Sees opportunity to acquire broader customer base by appealing to Slow Movers. Also sees limitations of own new product and learns from what was done in the past, reflected in a new way. Potential risk is being leapfrogged by even newer technologies and business models as focus turns to “installed base” of incumbent. Considers cramming some element of disrup- tive features to existing product line to sufficiently demonstrate attention to future trends, while minimizing interruption of existing customers (also known as “compete”). Potential risk is failing to see the true value or capabilities of disruptive products relative to the limitations of existing products. Source: http://recode.net/2014/01/06/the-four-stages-of-disruption-2/
  • 13. 13 This mirrors the way in which Airbnb, Uber, Bitcoin, Tes- la, Philips and Amazon, among others, are currently act- ing. These players target existing industry by offering a cheap and richer alternative that appeals to an ever growing market. First of all they build a platform that everyone can join and utilize. For example, Airbnb pro- vides one where people can offer their own home for temporary hire (bed and breakfast). A completely new (local) economy has now arisen around Airbnb, in which contract cleaners and restaurants also eagerly partici- pate. Are you hiring an apartment here? If so, we can ensure that you can leave it nice and clean when you leave. And, when you’re here, these are the best places to eat at a reduced rate. All such initiatives ensure that the acceptation of the platform gradually increases and that it can be quickly rolled out due to the network ef- fect. In the wink of an eye, new companies with a turn- over of billions suddenly arise, mowing down many of the existing industrial sectors.
  • 14. 14 2 INNOVATOR DILEMMAS AND EROOM’S LAW The CNAS defense report from June 2014 discusses Cre- ative Disruption, a tribute to the Austrian economist Jo- seph Schumpeter, who introduced the concept of cre- ative destruction in 1942. With this, he described the dynamics of innovation in which new technology consis- tently heralds a new age at the cost of existing business. Fifty-five years later, Harvard professor Clayton Chris- tensen refined this concept into disruptive innovation in his book The Innovator’s Dilemma: When New Technolo- gies Cause Great Firms to Fail. Down through the years, this train of thought, to which a whole library has been devoted by now, has been generally acclaimed. At pres- ent, the subtitle has become: The Revolutionary Book that Will Transform the Way You Do Business. There is also some harsh criticism, however. In June 2014, Jill Lepore wrote a polemic article in The New Yorker, “The Disruption Machine,”2 in which she expressed doubt about the quality of Christensen’s research and his con- clusions. The dust has now settled and Christensen — ac- cording to the reaction of experts on the web — has re- mained proudly standing. Still, it is interesting to read that Christensen often betted on the wrong horse with his own capital fund. For example, he did not believe in the potential success of Apple’s iPhone. 2) http://www.newyorker.com/magazine/2014/06/23/ the-disruption-machine The evolution that innovators have to cope with lies not only in the way in which the challengers are capturing the market but also in the rate of disruption. Disruptive innovations are now occurring much more rapidly due to digital acceleration, its intimate relationship with busi- ness models and customer experience, and globalization Martec’s Law of Disruption Time Tech Org Technology changes exponentially Technology management is deciding which changes are adopted Organizations change logarithmically ? ? Source: Scott Brinker, http://chiefmartec.com
  • 15. 15 of the economy. Smartphones, cloud computing, social media, the Internet of Things and (Big Data) analytics are developing much faster than organizations can keep up with. This situation is called Martec’s Law, named after the weblog of marketing technologist Scott Brinker. The exponential growth of technology is directly derived from Moore’s Law, which predicts that the capacity of computers doubles every eighteen months if costs re- main constant. In contrast, organizations change slowly. A group of researchers named this growth curve “Eroom’s Law” in an article in the Nature journal. It is Moore’s Law, spelled backwards.3 The article analyzes the cause of the diminishing successes of RD in the pharmaceuti- cal industry. Management fixation turns out to be the most significant reason for the fact that new break- throughs take so long to be realized, and one of the causes is the “Better Than The Beatles” effect: “The Better Than The Beatles effect is what we face as we continue to compete against our greatest hits of the past.” 4 It may be an explanation of why organizations lag behind their rivals — because they place too much faith in the old repertoire. Or, following Clayton Christensen, it may explain how even the most outstanding companies can do everything right — yet still lose market leadership or even collapse. Most companies miss out on new waves of innovation. No matter the industry, Christensen says, a successful company with established products will get pushed aside unless managers know how and when to abandon traditional business practices. 3) http://www.nature.com/nrd/journal/v11/n3/full/nrd3681.html 4) http://pipeline.corante.com/archives/2012/03/08/erooms_law.php
  • 16. 16 3 THE ENTERPRISE IN TIMES OF EXPONENTIAL ACCELERATION In 2001, Richard Foster and Sarah Kaplan showed, via the Standard Poor’s index, just how fast creative destruc- tion can work. This index was first drawn up in 1923 and listed 90 major American companies, all of which re- mained on the list for an average of 65 years. Around 1997, the year in which The Innovator’s Dilemma was published, the average lifespan of a company on this list had decreased to 10 years, and only 74 of the first 500 companies listed on the SP index in 1957 remained. During that whole period, only 12 companies performed better than the index itself. In 2014, a comparative in- vestigation by Sogeti VINT of the lifespan of companies on the AEX-Euronext index shows a similar pattern. Ex- trapolation of the data of this investigation reveals that, since 1993, in measurement intervals of 10 years, the lifespan of AEX notation has decreased by 20 years. If this trend continues, the average lifespan of companies on the AEX index will decrease to 25 years in 2023 and dwindle to a mere 5 years in 2033. Foster and Kaplan’s pitch: well-established companies may think they have eternal life, but the figures prove otherwise. The ever-increasing speed at which one inno- vation succeeds another is hard to keep up with. The following title of Foster and Kaplan’s book is a reference to other popular books on management, such as In Search of Excellence, Good to Great, What Really Works and Built to Last (by Jim Collins, 1994): “Creative Destruction. Why Companies That Are Built to Last Underperform the Market — And How to Successfully Transform Them.” 5 Richard N. Foster Sarah Kaplan  2000 5) http://itech.fgcu.edu/faculty/bhobbs/Creative%20 destruction%20McKinsey%20Report%20CDch1.pdf
  • 17. 17 17 Cutting-edge technological development today is an ex- ponential, digital and combinatorial process. There is an obvious change in the adoption curves of new technolo- gies, which once used to follow a linear path, whereas nowadays the patterns are increasingly exponential. New Technologies’ Adoption Curves Telephone Radio Computer Color TV VCR Cell phone Internet Year 1915 1930 1945 1960 1975 1990 2005
  • 18. 18 Life Cycle Disruptive vs. Incumbent Market Big Bang Market Time Innovators Earlyadopters Earlymajority Latemajority Laggards Trial users Everybody else Paul Nunes Larry Downes, 2014 Shark fin: exponential adoption of innovation In his book Diffusion of Innovations (1962), Everett Rog- ers was the first to describe the life cycle of a product. He distinguishes five different stages, all of which follow a normal distribution, with five types of consumers: the innovators, the early adopters, the early majority, the late majority and the laggards. Recently, in their book entitled Big Bang Disruption, Larry Downes and Paul Nunes indicated that distribution and adoption of inno- vations no longer follow the normal distribution curve. New technology has reduced the number of consumer types to only two: guinea pigs (trial users) and the rest (everybody else). The bell curve has been replaced by a sharkfin. In her article “The Pace of Technology is Speeding Up,”6 Rita Gunther McGrath, professor at Columbia Business School, author of the book The End of Competitive Advan- tage, and ranking among today’s top ten major manage- ment thinkers on the Thinkers50 list, states that the in- crease in the speed at which innovations are adopted puts 6) http://blogs.hbr.org/2013/11/the-pace-of-technology-adop- tion-is-speeding-up/
  • 19. 19 — logically — great pressure on companies to innovate at an even greater rate. Every competitive edge is only tem- porary, there are fewer barriers, the existing players on the market must innovate at a greater speed lest they be overtaken by their competitors. Innovation must become the most important process within a company. James McQuivey, vice-president and principal analyst at Forrester Research and author of the book Digital Dis- ruption, has expressed this increasing speed of innova- tion in the formula below. He states that today’s digital technology causes the effects of disruption to be a hun- dred times stronger, at one tenth of the costs, and with ten times as many innovators in the market.
  • 20. 20 4 BEYOND THE NEW NORMAL The term New Normal has become the inspiring cliché for all changes that have occurred since the recent eco- nomic crisis and its aftermath. The whole thing started with the abnormal behavior of the financial markets (and the resulting crisis, which had a normalizing effect on the situation), but soon the term began to be used within a socio-economic context for everything that was to become the new norm: a definitive end point with new principles of design, where everything is again sta- ble and steady, but different from the way to which we were accustomed. In fact, it appears that disruption itself has become the New Normal. Arguments in favor of this assumption may be found in Clayton Christensen’s inspiring enthusiasm or in the decrease in the lifespan of companies on the Stock Exchange. However, for a comprehensive predictive the- ory we turn to the Neo-Schumpeterians, named after the famous Austrian economist who lived from 1883—1950. From professor Carlota Perez’s elaboration of Schumpet- er’s ideas we learn that: 1. We are only just at the beginning of the era of digital applications and ditto disruptions. 2. This situation is likely to last for quite a while. 3. There are opportunities for everyone: the “Golden Age” in the area of innovation lies in the future. An explanation for the great speed at which the changes take place may be found in Carlota Perez’s book Techno- logical Revolutions and Financial Capital (2002), in which she explains the economic undulating movements — the so-called Kondratieff waves, which occur at regular inter- vals with a frequency of about sixty years. Following Schumpeter, Ms. Perez says that these movements are caused by the introduction of new infrastructural technol- ogy, such as the impact that water and steam have had on history, or oil and steel. Today, we have digital technology. Every wave is subject to a number of (fixed) rules or pat- terns and goes through two phases: the installation phase, in which a new technology is introduced, distributed and multiplied, which changes the prevailing logic of innova- tion and leads to the establishment of a new infrastruc- ture and the modernization of the existing industries. This period starts with a financing wave and ends with a bub- ble that will eventually burst. What follows is the so-called deployment phase, in which the newly developed infra- structure is put to full use. We have witnessed similar cycles on several occasions, such as after the introduction of the railway, the automobile, steel, and canals (in Brit- ain), for example, which all led to infrastructural innova- tions. At first, it was a predominantly technical revolution (the installation phase) which later on led to an institu- tional revolution (the deployment phase). This means that each aspect of the old system needs to be revised,7 with much less emphasis being placed on small improvements 7) Further information, including the role of economic crises and the technological phases, can be found on http:// www.carlotaperez.org/pubs. Video: “30 years to go” — Carlota Perez on the IT wave, http://vimeo.com/53577644
  • 21. 21 in the process, thus on incremental and sustaining inno- vations, but with many more possibilities to alter the rules of play, “to take into production” the built infra- structure, and an increasing necessity to take apparently inferior rivals most seriously. Like Carlota Perez, the visionary and Internet pioneer Kevin Kelly believes that the really great breakthrough is still ahead of us. He regards the past thirty years of dig- ital development as a starting point, an overture to things yet to come — to which he adds, reassuringly: “You’re not too late.” He says: Recurring phases of each great surge in the core countries Degree of diffusion of the technological revolution Previous Great Surge Big Bang Next Big BangCrash Institutional Recomposition Next Great Surge Source: Perez, Technological Revolutions and Financial Capital (2002) Time IRRUPTION FRENZY SYNERGY MATURITY Techno-economic split • Irruption of the technological revolution • Decline of old industries • Unemployment Financial bubble time • Intensive investment in the revolution • Decoupling of the whole system • Polarization of rich and poor • Gilded Age Golden Age • Coherent growth with increasing externalities • Production and employment Socio-politic split • Last products industries • Market saturation and techn. maturity of main industries • Disappointment vs. complacency Deployment Period Installation Period Turning Point “The Internet is still at the beginning of its beginning. [...] The last 30 years have created a marvelous starting point, a solid platform to build truly great things. However, the coolest stuff has not been invented yet — although this new greatness will not be more of the same-same that exists today. It will not be merely ‘better’, it will be different, beyond, and other.” Kevin Kelly
  • 22. 22 5 GEARING INTO OVERDRIVE You may not be too late, but you may very well be too slow. As digital technology (and digital disruption) is of a different order, the phase Carlota Perez describes could very well take place much more abruptly and faster than we can now foresee. The digital-physical interaction is unique in its kind. The digital world, for example, is characterized by abundance, whereas the physical world is governed by the scarcity of goods and services. In short, this might imply a distinct break with Schumpet- er’s and Perez’s theories. John Hagel, author and founder of the Deloitte Center for Edge Innovation, says that digital disruption is, in- deed, unique in its kind and that it will cause changes at a much greater speed than expected. His conclusion is that stability and steadiness are impossible and that there is hardly any reference material. The rules for suc- cess have yet to be written: “Digital technology is different — in fact, it’s unprecedented in human history. It’s the first technology that has demonstrated sustained exponential improvement in price/ performance over an extended period of time and continuing into the foreseeable future.” John Hagel
  • 23. 23 The second phase in Perez’s techno-economic frame- work, the roll-out phase, might then be different from what we have seen in previous wave movements. In- deed, Hagel states that we will also see more disrup- tion(s) in adjacent areas: “This exponentially improving digital technology is spilling over into adjacent technologies, catalyzing similar waves of disruption in diverse arenas like 3-D printing of physical objects, biosynthesis of living tissue, robotics and automobiles, just to name a few. The advent of exponentially improving technologies in an expanding array of markets and industries only increases the potential for disruption.” John Hagel In their book Exponential Organizations, Salim Ismael, Mike Malone and Yuri van Geest speak of an informa- tion-based paradigm, with a physical world that obvious- ly still exists, but it is the relation with that physical world that is changing fundamentally. Information and knowledge systems create an entirely new filter through which we look at the world around us and the way in which we can organize, structuralize and make our world.
  • 24. 24 6 FOUR DESIGN TO DISRUPT CHALLENGES The challenges are substantial, but their contours are now beginning to become clear. For further research, and for the alignment of the discussions we conduct on these topics with these organizations, we concentrate on a number of research issues. At this stage, we distin- guish four developments that form the basis of disrup- tive innovations. First of all, there is the question of how to deal with this vast digital acceleration. What does Continuous Design signify in the light of existing business culture? Trust in the scalability of this Continuous Design is a second design principle. New platforms play an im- portant role in this framework. The design of new busi- ness models, particularly in the context of new cy- ber-physical relations through SMACT technologies (Social, Mobile, Analytics, Cloud, Things), is the third focal point. The fourth is the design of the customer and employee obsession. A   Continuous Design in the digital era If disruption has become the New Normal, it makes per- fect sense to work on an organization’s Continuous De- sign. Forbes columnist Steve Denning, who previously worked for the World Bank and is now an Amazon Affili- ate and director of the Scrum Alliance, wrote a relevant article on this subject, entitled “Clayton Christensen And The Innovators’ Smackdown.” He concluded that Continuous Disruption is the way to go. An example of this can be found in Alan Moore’s book No Straight Lines, in which he describes how organizations should con- stantly monitor and adapt their organizational “design” and strive for a “Permanent Beta” state. Others, such as the Silicon Valley entrepreneur Eric Ries, give a similar advice: convert your enterprise into a “lean startup.” However, this is easier said than done, as such a cultural switch cannot be realized overnight. Disruptive Innovations Design Issues Empathize 1 Define 2 3 Ideate 4 Prototype 5 Test
  • 25. 25 B   The design of trust On top of all these technologies, the so-called Platform Economy is building out. Thanks to the new opportuni- ties, there is a tendency to return to the human mea- sure, in which human contact again becomes of para- mount importance. Trust becomes scalable thanks to the application of information technology, which enables us to solve an old problem. Economic activity is developing from stage 1.0 to 4.0, where the fourth stage that we are entering now corresponds with the network organiza- tion, this time enriched with advanced algorithms and artificial intelligence that make trust scalable. Companies such as Airbnb and Uber use assessment sys- tems that are transparent to all, which makes it possible to e.g. appraise the renter of an apartment, but also the guest. Likewise, you can assess the driver of a vehicle as well as the passenger. Trust is made scalable by comput- er software, which makes it possible to take the step towards technology-driven, distributed, bottom-up net- works that consist of individuals and communities. The future seems to be the reverse of the centralized twen- tieth century. Platforms such as Airbnb, GitHub, Home- joy, Uber, Kickstarter, Bitcoin, TaskRabbit and Coursera are the front runners in this development. Trust is no longer something that is monitored and controlled by companies, institutions and governments, but is built up online. The network, the algorithm, is the trusted party, in which the individual’s reputation (or that of an intelli- gent machine) is the new currency. The Design of Trust Internet 4.0 Source: Sander Duivestein, Ronald van den Hoff, Marco Derksen, 2014 Algorithms Algorithms Organizations Stakeholders 2.01.0 4.03.0
  • 26. 26 C   The design of new service and business models Digital disruption, leading to exponential acceleration and scalable platforms, requires and leads to new busi- ness models. In this context, John Hagel uses the term “re-think business models” (see quote below). In this new world it is not the ownership of products that counts, but the access to these products via services. In practice we see more and more examples of this princi- ple: hotel service, taxi service, educational service, healthcare service and banking service. The key to suc- cess for future companies is to crowdsource their pro- duction. In such a network economy, where value is cre- ated on various platforms, an economic entity plays one of the following roles: as a consumer, as a producer, or as the network itself. In practice, these roles will be strongly mixed. Therefore, companies will have to look at their corporate processes with different eyes. They will have to set up their corporate functions around dig- ital platforms and regard their employees, suppliers and customers as participants on these platforms. This means that the traditional boundaries of the organiza- tions will automatically fade, and become less notice- able. In the achievement of a company’s final objective, when and who plays which role — consumer, producer or platform — will become less important. An organiza- tion’s environment is no longer filled in by clearly recog- nizable, organized units, but by a crowd of autonomous platform agents. Sharing is the new having, and the crowd is the new company. Thus, the consumer is the hotel, the software designer, the cleaning agency, the taxi office, the startup, the bank, the job agency and the teacher. “These two forces — exponentially improving technology and economic liberalization — are combining to create environments that are increasingly vulnerable to disruption. In economic terms, they are doing two things. First, they are systematically and substantially reducing barriers to entry and barriers to movement on a global scale. Second, exponentially improving technology is offering untapped capabilities that can be a catalyst to fundamentally re-think business models and institutional arrangements.” John Hagel 
  • 27. 27 D   The design of client obsession Technological forces such as Social, Mobile, Analytics and Cloud have reached maturity and, in conjunction with interconnected Things, form a new SMACT alliance. In the next thirty years, the digitally transformed world will be implemented in the physical world: from bits to atoms. And the new world will look totally different from what we are accustomed to. It is thanks to digital tech- nology that we are able to equip, arrange and organize the physical world in a completely different way. Looking at Ms. Perez’s five waves, we can establish that the infrastructure for the digital world (the digital high- way) was constructed in the past thirty years, during the installation period. It is, as it were, the transition of at- oms into bits. In his book Being Digital (1995), Nicholas Negroponte, founder of the MIT Media Lab, argues that “bits are the new atoms.” In his opinion, all information that is stored in atoms (books, CDs, etc.) will eventually be converted to bits. In his book Free (2009), Chris An- derson, former editor-in-chief of Wired magazine, claims the opposite: “atoms are the new bits.” In the coming thirty years, the Digital Transformation will be morphed into a Physical Transformation. With this, the circle will be closed: from atoms to bits and on to atoms again. Thus, the Digital First strategy can equally well be rein- terpreted as Physical First strategy. Two inspiring thoughts come up. The old web world, the time of e-commerce when the Internet was something that had to be accessed deliberately, was predominantly a self-service era. In the new SMACT applications, self-service has been changed back to service once more while consumers and clients can be accommodated much better. What have changed — in a disruptive way — are the new possibilities. This development forms the basis for the second thought, namely that the experience is all that counts. Interactive moments (touchpoints) are all mobile, and may occur anywhere: at home, in the street, on the workfloor, in shops, on the battlefield. These Mo- bile Moments form the basis of an entirely new concept of customer contact.
  • 28. 28 7 CONCLUSION AND CONSIDERATIONS FOR THE CIO Assuming that exponentially growing technology is an in- evitable factor in the current era, it is imperative that organizations develop a structure and a matching culture in which accelerated change is the New Normal. This places special demands on an organization’s corporate environment and strategy, in which room for experi- ment, pioneering and innovation are common daily prac- tice. Too often, these conditions are absent from large, sluggish and bureaucratic organizations. Institutions will try to preserve the problem to which they are the solu- tion. However, the first outlines of this new type of orga- nization are looming on the horizon. The seven points below are a summary of the design principles that are imperative to effectuate disruptive innovation. 1. Exponential growth of technology. The consequent disruptive innovations put pressure on existing com- panies. Owing to the constantly changing (business) environment, companies have to constantly change and adapt (Continuous Design). 2. It is imperative that a corporate culture is created in which innovation is embraced, instead of confronted with feelings of distrust or resistance. Innovation must become the major process within a compa- ny. 3. Trust made scalable by technology. From centrally controlled organizations we are moving towards de- centralized, distributed platforms. Existing compa- nies must be unbundled. The physical world will be organized and structuralized in substantially differ- ent ways from those to which we are accustomed, thanks to the deployment of digital technology. As a direct result, IT and business will merge seamlessly into one another. One possible consequence of this is a rise in technological unemployment, as work is in- creasingly taken over by robots and algorithms. 4. Platform economy players such as Bitcoin, Airbnb and Uber show us a world in which transparency is the new norm, and where, as a consequence, everyone can assess one another. It is no longer about owner- ship/possession/control of products, but about having access to / controlling all kinds of services. This requires and opens up all kinds of possibilities for new working methods. Reputation becomes the new currency. 5. Information technology democratizes. Now, the consumer possesses the tools to optimize his experi- ence. The customer is the radiant central point, the linchpin around which the new economic systems re- volve. More than ever, the customer is king. 6. The anxious customer obsession from the past has made way for a wave of new opportunities. Thanks to SMACT, it is now possible to create surprising cus- tomer experiences at all conceivable mobile-contact moments. After the initial transformation of atoms into bits, they now materialize once again in the ac- tuality of our physical world. With a further thrust of bits into atoms, the circle of service to the cus- tomer will be closed with a focus on Mobile Mo- ments to accommodate every need and wish. 7. The role of the CIO will be the outcome of a dilem- matic debate which Michael Raynor and Clayton Christensen, author of The Innovator’s Solution, characterize as follows:
  • 29. 29 better positioned to help take advantage of these tools than the CIO? tuned to its specific needs. CIOs should sustain the business. Point Efficiency, effectiveness and regulatory mastery are even more important now. CIOs should focus on sustaining innovations that address today’s growing concerns. CIOs should lead disruption. Social computing, mobility and the cloud aren’t just changing society, they’re disrupting business. Who’s Technology is the fuel, not the driver. Technology enables innovation, but the business should be doing the driving. The CIO should respond to the needs of the business, not the other way around. Technology can break constraints. That’s where innovation happens. The CIO is in a rare position to lead the creation of disruptive business models given technology’s prominence across business. Immediate returns come from driving down costs. IT is the largest capital expenditure in many companies. Keeping up with technology’s declining cost curve is a full-time job with a high return on investment. You can’t shrink your way to greatness. It’s worth the deliberate sacrifice of some efficiency gains to achieve the potential long-term advantages offered by disruptive innovations. Chasing disruption is a crapshoot. Better to focus on incremental improvements that are more likely to pay off than risk limited resources on a long shot. The odds are better than you think. Disruptive innovation is just as likely to pay off as sustaining efforts when pursued deliberately and consistently, with a strategy and operational metrics Source: http://www.deloitte.com/assets/Dcom-UnitedStates/Local%20Assets/Documents/us_consulting_MeasuredInnovationDebate_022312.pdf
  • 30. 30 ILLUSTRATIONS AND REFERENCES Anderson, Chris (2009): “Free: The Future of a Radical Price,” Hyperion, July 7, 2009 Anderson, P., and M.L. Tushman (1990): “Technological Discon- tinuities and Dominant Designs: A Cyclical Model of Techno- logical Change,” Administrative Science Quarterly, 35, p. 604-633 Andreessen, Marc (2011): “Why Software Is Eating the World,” Wall Street Journal, August 20, 2011 Anthony, Scott D., Mark W. Johnson, Joseph V. Sinfield, and Elizabeth J. Altman (2008): The Innovator’s Guide to Growth: Putting Disruptive Innovation to Work, Harvard Business School Press Barnay, Jay B. (1997): “On Flipping Coins and Making Technolo- gy Choices: Luck as an Explanation of Technological Fore- sight and Oversight,” in: R. Garud, P.R. Nayyar, and Z.B. Shapira (eds.), Technological Innovation: Oversights and Foresights, Cambridge University Press, p. 13-19 Bessant, John (2008): “Dealing with Discontinuous Innovation: The European Experience,” International Journal of Tech- nology Management, 42, 1/2, p. 36-50 Bloem, Jaap, Menno van Doorn, and Sander Duivestein (2010): Don’t Be Evil: Imagineering 21st Century Business — People, Planet, Profit 2.0, Sogetibooks Brafman, Ori, and Rod. A. Beckstrom (2006): The Starfish and the Spider: The Unstoppable Power of Leaderless Organiza- tions, Penguin Group Brinkler, Scott (2013): “Martec’s Law: Technology changes ex- ponentially, organizations change logarithmically,” June 13, 2013 Brynjolfsson, Eric, and Andrew McAfee (2014): The Second Ma- chine Age: Work, Progress, and Prosperity in a Time of Bril- liant Technologies, W.W. Norton Company Christensen, Clayton M. (1997): The Innovator’s Dilemma, Har- vard Business School Press Christensen, Clayton M. (2013): “Christensen: We are living the capitalist’s dilemma,” CNN, January 21, 2013 Christensen, Clayton M., and Michael E. Raynor (2003): The In- novator’s Solution: Creating and Sustaining Successful Growth, Harvard Business School Press CNAS (2014): Creative Disruption Technology, Strategy and the Future of the Global Defence Industry, http://www.cnas. org/sites/default/files/publications-pdf/CNAS_FutureDefence Industry_FitzGeraldSayler.pdf Cowen, Tyler (2013): Average Is Over: Powering America Be- yond the Age of the Great Stagnation, Dutton Adult Danneels, Erwin (2004): “Disruptive Technology Reconsidered: A Critique and Research Agenda,” The Journal of Product Innovation Management, 21, p. 246-258 Derksen, Marco (2013): “De opkomst van de platformecono­mie,” http://koneksa-mondo.nl/2013/11/30/sharing-economy- netwerken/ Downes, Larry, and Paul Nunes (2014): Big Bang Disruption: Business Survival in the Age of Constant Innovation, Penguin Duivestein, Sander (2009): “Het nieuwe normaal,” Frankwatch- ing, December 4, 2009 Duivestein, Sander (2014): “Nadenken over Society 4.0,” http:// www.sanderduivestein.com/2014/04/28/nadenken-over-so- ciety-4-0/ Duivestein, Sander, and Jaap Bloem (2011): “We the Web: De herovering van het leven op de hectiek,” Frankwatching, February 2011 Dzedek, Lars (2009): Disruptive Innovationen: Identifizierung, Bewertung und strategische Handlungsoptionen für etablierte Unternehmen und ihre Entscheidungsträger, VDM Verlag Ellermann, Lutz (2010): Organisation von diskontinuierlicher In- novation: Ein ressourcenbasierter Ansatz, Gabler Verlag Eurostat (2009): European Business: Facts and figures Foster, Richard, and Sarah Kaplan (2001): Creative Destruction: Why Companies That Are Built to Last Underperform the Market — and How to Successfully Transform Them, Random House Furr, Nathan (2011): “Big Business... The End is Near: Why 70% of the Fortune 1000 Will Be Replaced in a Few Years,” Forbes, April 21, 2011 Gordon, Robert J. (2012): “Is U.S. Economic Growth Over? Fal- tering Innovation Confronts the Six Headwinds,” The Nation- al Bureau of Economic Research, August 2012 Govindarajan, Vijay, and Praveen K. Kopalle (2005): “Disrup- tiveness of Innovations: Measurement and an Assessment of Reliability and Validity,” Strategic Management Journal, De- cember 22, 2005 Govindarajan, Vijay, and Praveen K. Kopalle (2006): “The Use- fulness of Measuring Disruptiveness of Innovations Ex Post in Making Ex Ante Predictions,” The Journal of Product Innova- tion Management, 23, p. 12-18
  • 31. 31 Hagel, John (2014): “The Disruption Debate — What’s Missing?,” Edge Perspectives, June 30, 2014 Hagel, John, John Seely Brown (JSB), Tamara Samoylova, and Mi- chael Lui (2013): “From exponential technologies to exponen- tial innovation,” Deloitte University Press, October 4, 2013 Hauschildt, Jürgen, and Sören Salomo (2010): Innovationsmana­ gement, Vahlen INNO-Grips (2012): Disruptive Innovation: Implications for Com- petitiveness and Innovation Policy, http://www.innogrips. empirica.biz/home/ Ismail, Salim, Mike Malone, and Yuri van Geest (2014): Exponen- tial Organizations: Why new organizations are ten times bet- ter, faster, cheaper than yours (and what to do about it, Singularity University Kelly, Kevin (2010: “The Shirky Principle,” The Technium, April 2, 2010 Lanier, Jaron (2013): Who Owns the Future?, Penguin Leifer, Richard (2001): Radical Innovation: How Mature Compa- nies Can Outsmart Upstarts, McGraw-Hill Professional Lawler, Edward E., and Christopher G. Worley (2008): Built to Change: How to Achieve Sustained Organizational Effective- ness, Jossey-Bass Markides, Constantinos (2006): “Disruptive Innovation: In Need of Better Theory,” The Journal of Product Innovation Man- agement, 23, 19-25 McGrath, Rita Gunther (2013): “The End of Competitive Advan- tage: How to Keep Your Strategy Moving as Fast as Your Busi- ness,” Harvard Business Review Press, May 14, 2013 McQuivey, James (2013): Digital Disruption: Unleashing the Next Wave of Innovation, Amazon Publishing Moore, Alan (2011): No Straight Lines, Bloodstone Books Moore, Geoffrey A. (2002): Crossing the Chasm: Marketing and Selling Disruptive Products to Mainstream Customers, Harper­ Collins Moore, Geoffrey A. (2008): Dealing with Darwin: How Great Companies Innovate at Every Phase of Their Evolution, Pen- guin Morner, Michele (1997): Organisation der Innovation im Kon- zern, Gabler Verlag Negroponte, Nicholas (1995): Being Digital, Alfred A. Knopf Inc. OECD, Organisation for Economic Cooperation and Develop- ment / Eurostat (2005): Oslo Manual: Guidelines for Collect- ing and Interpreting Innovation Data (third edition) Perez, Carlota (2002): Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages, Edward Elgar Pub Philips, W. et al. (2006): “Beyond The Steady State: Managing Discontinuous Product and Process Innovation,” Internation- al Journal of Innovation Management, 10, 2, p. 175-196. Philips, W. et al. (2006): “Discontinuous Innovation and Supply Relationships: Strategic Alliances,” RD Management, 36, 4, p. 451-461 Piketty, Thomas (2014): Capital in the Twenty-First Century, Harvard University Press Porter, Michael E. (1980): Competitive Strategy, Free Press Rao, Venkatesh (2013): “The Mother of All Disruptions,” Ribbon- farm, October 11, 2013 Rifkin, Jeremy (2014): The Zero Marginal Cost Society: The In- ternet of Things, the Collaborative Commons, and the Eclipse of Capitalism, Palgrave Macmillan Rogers, Everett M. (2003): Diffusion of Innovations (fifth edi- tion), Free Press Rushkoff, Douglas (2011): Life Inc: How the World Became a Corporation and How to Take It Back, Vintage Digital Satell, Greg (2014): “Strategy in a Networked World,” Digital Tonto, June 15, 2014 Schmidt, Glen M., and Cheryl T. Druehl (2008): “When Is a Dis- ruptive Innovation Disruptive?” The Journal of Product Inno- vation Management, 25, p. 347-369 Schumpeter, Joseph A. (1942): Capitalism, Socialism, and De- mocracy, Harper The New York Times (2014): Innovation, http://visualdays.no/ files/2014/05/224608514-The-Full-New-York-Times-Innova- tion-Report.pdf Varian, Hal (2011): “Micromultinationals Will Run the World. And Cheap Robots Will Help Them Do It,” Foreign Policy, August 15, 2011 VINT (2014): “SMACT 2004-2020: The Final Countdown,” http:// vint.sogeti.com/smact-2004-2020-final-countdown/ Weinberg, Gabriel (2012): “Software eating the Fortune 500,” June 3, 2012 Welsch, Johann (2005): Innovationspolitik: Eine problemorien- tierte Einführung, Gabler Verlag Yu, Dan, and Chang Chieh Hang (2010): “A Reflective Review of Disruptive Innovation Theory,” International Journal of Man- agement Reviews, in: The Journal of Product Innovation Management, 12, p. 435-452
  • 32. Want to participate in our Design to Disrupt research project? Please send an e-mail to d2d@sogeti.com About VINT  vint.sogeti.com VINT, the Sogeti trend lab and part of Sogeti Labs, provides a meaningful interpretation of the connection between busi- ness processes and new developments. In every VINT publi- cation, a balance is struck between factual description and the intended utilization. VINT uses this approach to inspire organizations to consider and use new technology. About Sogeti  www.sogeti.com Sogeti is a leading provider of technology and software testing, ­specializing in Application, Infrastructure and Engineering Services. Sogeti offers cutting- edge solutions around Testing, Business Intelligence Analytics, Mobile, Cloud and Cyber Security, combining world class methodologies and its global delivery model, Rightshore®. Sogeti brings together more than 20,000 professionals in 15 countries and has a strong local presence in over 100 locations in Europe, USA and India. Sogeti is a wholly-owned subsidiary of Cap Gemini S.A., listed on the Paris Stock Exchange. About Sogeti Labs  labs.sogeti.com Sogeti Labs is a network of over 90 technology leaders from Sogeti worldwide. Sogeti Labs covers a wide range of digital technology expertise: from embedded software, cyber security, simulation, and cloud to business informa- tion managem ent, mobile apps, analytics, testing, and the Internet of Things. The focus is always on leveraging tech- nologies, systems and applications in actual business situ- ations to maximize results. Together with the Sogeti trend lab VINT, Sogeti Labs provides insight, research, and inspi- ration through articles, presentations, and videos that can be downloaded via the extensive Sogeti Labs presence on its website, online portals, and social media.