
The Commoditization of Information Technology
As western countries experience one of the worst economic slowdowns
in recent decades, the Information Technology industry is one of the
worst hit. Two decades of great exuberance, during which the industry
enjoyed double digit growth rates, were followed by a sudden and
dramatic slowdown.
Simple facts show the harsh reality. The technology stock index
Nasdaq fell 75 percent from its highs in early 2000 to its bottom in
spring 2003.1
VC investments are back to mid-1990s levels, and technology spending
in the enterprise has been flat or down for more than two years.
Information technology has taken the lion's share of the layoffs that
have plagued the American industry, with Silicon Valley alone, the
heart of the Internet bubble, losing tens of thousands of jobs.
The questions industry analysts are asking themselves are: Is this
just a normal cycle of the economy? How long is the downturn going to
last? Will IT ever go back to double-digit growth? Economists seem to
agree that the prolonged downturn we are experiencing is the natural
consequence of the unusually long and steady growth phase that
preceded it. And, with the next up cycle already in sight, fears of
an extended global recession are easing up. On the other hand, the
crisis of the IT industry is expected to have repercussions that will
outlive the current economic lull, since they transcend economic
cycles. Nicholas Carr provides us with an interesting diagnosis of
the situation in his shocking article, "IT Doesn't Matter" [1].
Carr argues that the strategic importance of information technology
has started to diminish when its power and ubiquity have reached
their peak. As IT's power and presence expanded, companies came to
view it as a resource ever more critical to their success. In 1965,
less than 5 percent of the capital expenditures of American companies
went into IT.2
After the introduction of the personal computer in the early 1980s
that percentage rose to 15 percent. By the early 1990s it had reached
more than 30 percent, and by the end of the decade it had hit nearly
50 percent. In recent years, companies have spent over $2 trillion a
year on IT. The consequence of these investments is that the core
functions of IT (data processing, data transport, and data storage)
have become available and affordable to all companies. Their very
power and presence have begun to transform them from potentially
strategic resources into commodity factors of production.
Now that the economic downturn is forcing companies to make rigorous
assessments of their investments, people are starting to realize that
IT is "still essential but no longer provides a competitive
advantage." This realization has been triggered by the current
economic crisis but will not be forgotten once economic growth
resumes. In this respect, Carr sees IT as the latest in a series of
broadly adopted technologies that have reshaped the industry over the
past two centuries,3
and then gradually became commodities as their availability increased
and cost decreased.
The natural conclusion of Carr's argument is that flat spending is
likely to give way to a phase of contained growth, but the trend
toward lower prices4
and increasingly narrow profit margins is irreversible.
Implications for Innovation in Information Technology
The key question for the research and development community in IT
concerns the role of innovation in this new context of rapid
commoditization. How can we innovate in meaningful ways if any
competitive advantage can be rapidly commoditized away? What are the
right research investments if competition will be mainly based on
price?
The IT research community can find the answers in other industries
that have gone through the same process, and some of the phenomena
that have already appeared in the IT industry.
Other industries well into their mature phase show that the role of
innovation has to change from technology-driven to customer-driven.
In mature industries, technology providers have to survive on very
tight profit margins, since customers have become accustomed to
getting increasingly powerful technologies without having to pay a
premium for them. In these circumstances, innovation for the sake of
technology is unlikely to pay off as it may do in younger industries.
These days, nobody would invest in fundamental research on mechanical
components unless there was a clear customer demand for new
technologies. The path to profitability for companies that sell
mechanical devices is to create value through solutions that solve
their customer's problems, and the more elements of the solutions
they can reuse across different customers, the more profitable they
are. This fine balance between customization and repeatability of the
solution is the key to success in a mature industry.
There are clear indications that the IT industry is following the
same path, also because the customer for IT within the enterprise has
changed, as Geoffrey Moore5
points out in a recent analysis [2]. The primary sponsors of IT
purchases are no longer the technical buyers (IT director and
technology evaluator), but the economic buyers (financial executives
and line of business [LOB] executives). These people are not
interested in the latest technological features, so the sales dialog
is about the customer's problems, not about the technology
differentiation of the vendor's products. Differentiation comes from
how technology makes a difference to the customer's business.
Another important aspect is that services are displacing products as
the goods sold to the customer. In selling a service, one cannot
exploit innovation in terms of pricing new product features.
Technical innovation hasto become a weapon to deliver the service in
a more efficient or useful manner, thus reducing the cost of delivery
or increasing the value delivered to a customer. In both cases,
innovation cannot take place in the ivory towers of research
laboratories, but has to happen at the interface with the customer.
For instance, with the huge trend toward outsourcing IT functions,
the only thing customers pay for is the level of service provided. In
that context, the customer doesn't even get to see what technology is
behind that service, so the providers of IT services have to invest
in innovation that enables the delivery of a higher level of services
at a lower cost.
The main consequence of these trends is that the allocation of
R&D budgets in IT companies will be scrutinized in terms of the
business value that innovation will deliver to the end customer.
Therefore, the imperative for innovation in the IT industry is to be
channeled toward assets whose business value can be quantified and
measured.
Three Measures of Business Value
The awareness that the value proposition of IT to enterprise
customers needs to be linked to an objective measure of the value
delivered has triggered a flurry of activity around the development
of frameworks and tools to measure business value.
These frameworks and tools attempt to define business value metrics
around the notions of business performance improvement and/or cost
reduction, and to use the metrics to demonstrate how investments in
specific IT solutions improve business performance or reduce cost.
The main obstacle to the broad adoption of this approach is the fact
that no framework has been broadly accepted yet as the standard
vehicle for doing this. The existence of several proprietary
frameworks6
targeted at slightly different purposes indicates that the discipline
is still in its infancy and in full ferment. Most frameworks are
built around the notion of key performance indicators (KPIs) as the
key element to assess business improvement, and consequently
calculate business value as positive impact on KPIs. However, the
various frameworks take different approaches, depending on whether
they are industry-specific7
or not, and whether they focus on specific classes of IT investments.
Industry-specific frameworks, such as the Supply Chain Operational
Reference (SCOR) model for manufacturing [3], are typically closely
tied to the business processes germane to that industry. Other
frameworks look at problems such as the ability of IT investments to
enable new business models and directions, support mergers and
acquisitions, and minimize cost of change.8
The bottom line is that these frameworks will converge and
consolidate around a few that will provide the standard reference to
define business value. At that point, the accuracy of the tools that
calculate the return on investment (ROI) of specific IT solutions
will be higher, since it will be possible to benchmark different
calculations against a standard framework. Until then, the
measurement of business value will be an imperfect science, but one
of increasing importance to the people in charge of investing in
technical innovation, because customers are already asking for
measurable business impact.
References
[1] Nicholas G. Carr, "IT doesn't matter", Harvard Business Review, 2003.
[2] Geoffrey Moore, "Marketing and Selling to Enterprise in a Downturn," 2002
[3] www.supply-chain.org
[4] www.gartner.com
[5] www.apqc.org
[6] www.hp.com
Biography
Giuliano Di Vitantonio is department manager at
Hewlett-Packard Laboratories, Palo Alto, California, where he is
responsible for the Enterprise Solutions Department. His research
interests cover business value analysis of IT, business-driven
management of IT, IT-based business processes, and content workflow
solutions. He holds a Master's degree in electrical engineering
(specialized in telecommunications) from the University of Bologna,
Italy, and an M.B.A. from the London Business School, United Kingdom.
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The 3rd International Conference on Networking (ICN 2004) took place
February 29March 4, 2004, Gosier, Guadeloupe, French Caribbean.
It gathered approximately 200 participants originating from 32
different countries (http://conf.uha.fr/ICN2004.html).
The conference took place under the technical co-sponsorship of
IEEE, and was supported by many other individuals and organizations.
We recall that the charter of the conference is to acknowledge the
highest technical standard, while promoting the best young
researchers along with well-known experts. Additionally, another goal
was to logistically assist local organizing teams that usually cannot
get grants to organize such large international conferences.
As were other ICN events in the past, this professional meeting
continues to be highly competitive and very well perceived by the
international networking community, attracting excellent
contributions and active participation. The topics of submitted
papers covered a wide spectrum, including optical communications,
QoS, multicast, security, traffic engineering, routing, wireless
networks, and ad-hoc networks. We believe ICN 2004 papers offer a
wide range of solutions to key problems in networking, and set
challenging avenues for industrial research and development.
In addition to the regular sessions, four tutorials were organized.
The tutorials focused on broadband network management, quality of
service in UMTS/WLAN networks, design of real-time multimedia
systems, and Web services for value-added services engineering in
next-generation networks.
We would like to thank the ICN 2004 Technical Program Committee
members and the referees. Without their support, the creation of a
very broad conference program would not have been possible. We also
thank all authors that dedicated a particular effort to contribute to
ICN 2004. We truly believe that due to all these efforts the final
conference program consisted of top-quality contributions.
We are also indebted to many individuals and organizations that made
this conference possible, specifically France Telecom, IEEE, IEE,
ARP, Antilles-Guyane University, and the University of Haute Alsace.
In particular, we would like to thank the members of the ICN 2004
Organizing Committee for their help with all logistical aspects of
organizing this professional meeting.