Technological Innovation is at the core of economic prosperity, profitability, stock price, market capitalization, and shareholders’ return. It is about profiting from trading ideas out of technology possibilities in a globally connected competitive market. Hence, it’s about business—a big business. However, is current business education for managing innovation good enough?
The challenge is to manage innovation by nurturing possibilities and winning the competition to profit from them. However, as engineering schools do not offer business education, we often rely on business school graduates to lead such ventures, whether in Startups or large corporations.
Despite the spectacular success, the fall of innovation leaders at Reinvention fault lines and the collapse of unicorns into unicorpses raise concerns. Does business education for managing innovation suffer from major incompleteness? The failure to sustain technological innovation leadership and a growing number of unicorpses suggest the need for rethinking business education to bridge the gaps in managing innovation for long-term success.
Is Business Education Lacking a Scientific Base for Managing Innovation?
Within the context of technological innovation, managing innovation involves detecting opportunities, making decisions, and overseeing incremental advancements, self-destructive recreation, and market entry through Creative Destruction. Success depends on identifying the latent potential of technology possibilities and leveraging them better than competitors.
Although business schools emphasize data-centric decision-making, early-stage opportunities often suffer from inadequate or misleading data. As a result, data-driven approaches can misguide decision-makers, leading to missed opportunities. Management professionals with only a business education background frequently struggle to recognize latent possibilities and make prudent decisions at critical moments.
This challenge is evident in the failure of seven out of ten innovation leaders at the reinvention fault line, and ineffective scaling of startups creating unicorns and turning them unicorpses. The absence of a science-based foundation in business education limits its effectiveness in managing innovation, highlighting a significant incompleteness in preparing leaders to sustain long-term technological success.
Forces Driving Innovation and the Incompleteness of Business Education
Innovation is driven by five fundamental forces: (i) Jobs to be done, (ii) empathy and Passion for Perfection, (iii) science, technology and engineering, (iv) creativity, and (v) winning the competition. It begins with an understanding of the evolving nature of Getting jobs done. For instance, the way we achieve lighting has changed over time, from fire to candles to electric bulbs and LEDs. Identifying how to improve the job-to-be-done is a key challenge, as customers often cannot articulate their latent desires.
To bridge this gap, empathy and passion for perfection are essential. However, conventional business education places little to no emphasis on these cultural traits, limiting leaders’ ability to anticipate hidden needs. Yet, empathy alone is not sufficient—scientific, technological, and engineering capabilities are necessary to transform ideas into reality.
New technologies often emerge in latent and inferior forms, leading to rejection by the mainstream market. Business schools emphasize serving paying customers, but this advice can be misleading. Hence, financial data-centric decision-making often results in avoiding promising but initially weak innovations.
A classic example is Kodak’s failure to pursue the digital camera, despite securing its first patent. Management, focused on serving film camera customers who rejected the new technology for its poorer performance and higher cost, decided not to invest in it—leading to the infamous Kodak moment. This highlights a major incompleteness in business education, which fails to equip leaders with the vision and risk management capability needed to drive technological reinvention.
Competition, and the Misguided Innovation Strategy
The fourth driving force of innovation is creativity, followed by the challenge of winning the competition. While business schools emphasize competition, their conventional management tactics often fall short in the innovation race.
For instance, instead of making a trade-off between quality and cost, true innovation demands achieving the highest quality at the lowest cost. This is only possible with the right technology portfolio and intellectual property strategy. However, business schools often teach scale effects through large-scale production, which is ineffective in technology-driven industries. Technological Economies of Scale depend on advancements, not simply expanding production.
Due to this misalignment, venture capital firms, often led by business school graduates, push startups in the wrong direction. The reliance on subsidy-based scale effects to boost valuation has led to sudden collapses, turning unicorns into unicorpses.
A glaring example of misguided strategy is the recent DeepSeek shock wave, which wiped out over $1 trillion in market value from top tech companies in a single day. This event underscores a critical flaw: scaling up, monopolizing markets, and increasing capital investment in computing power are unsustainable strategies. Instead, the future of innovation demands smarter science, better technology, and clever engineering.
To remain competitive, companies must shift from financially driven expansion to intelligent innovation management, emphasizing technological breakthroughs rather than capital-intensive scaling.
Mismatch Between Business Education and Innovation Management
As science, technology, and engineering play an increasing role in innovation, their primitive and inferior early-stage emergence often leads to rejection by mainstream markets. This reality contradicts the core lessons of business school education, making effective decision-making in innovation management difficult.
Traditional management wisdom of creating scale effects to reduce costs and dominate competition is also ineffective in technology-driven industries. Unlike traditional manufacturing, where scaling up production reduces costs, technological economies of scale depend on continuous advancements rather than large-scale expansion.
Additionally, the cost vs. quality tradeoff, a fundamental principle in business education, fails to apply in innovation. Instead, winning in the innovation race requires achieving higher quality at lower cost—a challenge that demands technology mastery rather than financial optimization and capacity expansion.
Due to this mismatch, seven out of ten innovation leaders fail at the reinvention fault line, and an increasing number of startups collapse after unsustainable valuation races. This flawed approach has turned many unicorns into unicorpses and missed opportunities by innovation leaders, highlighting the urgent need for rethinking business education to align with the realities of technological innovation management.
