Introduction
Foster’s S-Curve Model of Innovation explains how
technologies and innovations evolve over time in terms of performance
improvement. Proposed by Richard N. Foster, the model suggests that
technological progress follows an S-shaped curve, rather than a linear path.
The model is widely used to understand why established technologies eventually
stagnate and why firms must shift to new technologies to sustain long-term
growth and competitiveness.
Concept of the S-Curve
In the S-Curve model, the vertical axis represents
technological performance (such as efficiency, speed, or quality), while the horizontal
axis represents time or cumulative effort and investment. The curve shows three
distinct phases: slow initial progress, rapid improvement, and eventual
maturity or saturation.
Phase 1: Emergence (Early Stage)
At the initial stage, a new technology shows slow
performance improvement despite significant effort and investment. This is
because the technology is immature, and organizations are still learning how to
use and refine it. For example, early 3D printing technology had limited
materials, low precision, and high costs, making it suitable only for
prototyping rather than large-scale production.
Phase 2: Rapid Growth (Acceleration Stage)
Once the technology stabilizes, performance improvements
accelerate rapidly. Knowledge accumulates, processes improve, and costs
decline. During this phase, innovation yields high returns. For instance, renewable
energy technologies, particularly solar panels, experienced rapid efficiency
gains and cost reductions once manufacturing processes became standardized.
Phase 3: Maturity and Saturation
In the final phase, performance gains slow down even with
increased investment. The technology approaches its natural or physical limits,
and further improvements become costly and marginal. For example, traditional internal
combustion engines have reached high efficiency levels, but further
improvements are incremental and expensive due to physical constraints.
Technological Substitution and New S-Curves
A key insight of Foster’s model is that when one S-curve flattens, firms must invest in a new S-curve to maintain competitiveness. Electric powertrains in automobiles represent a new S-curve replacing conventional engines. Foster’s S-Curve Model highlights the importance of recognizing technological limits and strategically shifting to emerging technologies at the right time. It helps managers and policymakers decide when to continue investing in existing technologies and when to transition to new innovations.
Caselet: Foster’s S-Curve Model at IBM
IBM offers a compelling global case to explain Foster’s
S-Curve Model of Innovation. In its early years, IBM’s growth was driven by mainframe
computing systems. Initially, performance improvements in processing power and
reliability were slow due to technological complexity and high development
costs, representing the emergence phase of the S-curve.
As computing demand increased, mainframe technology
entered the rapid growth phase. IBM achieved significant improvements in speed,
storage capacity, and system stability, becoming the global leader in
enterprise computing. During this period, investments yielded high returns, and
mainframes dominated large organizations worldwide.
Over time, mainframe technology reached maturity and
saturation. Further enhancements became costly and delivered diminishing
performance gains, while customers began demanding more flexible and
cost-effective solutions. This flattening of the S-curve signaled the limits of
traditional mainframe innovation.
Recognizing this, IBM strategically invested in a new S-curve—first through enterprise software and IT services, and later through cloud computing and artificial intelligence (Watson). These technologies initially faced adoption challenges and modest performance outcomes. However, as digital transformation accelerated globally, cloud-based services and AI-driven solutions experienced rapid growth and scalability.
IBM’s ability to shift from a maturing hardware-based
S-curve to new technology-driven S-curves demonstrates the practical relevance
of Foster’s model in sustaining competitiveness within a global technology
firm.

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