Seems like an ingrained bias in many organizations that new ideas are necessarily better than existing knowledge. 🤔 Employees want to prove their competence by launching fresh initiatives rather than refining past work, and leadership often prioritizes innovation without recognizing that the wheel has already been invented—multiple times. 🔄 There are a few common reasons behind this mistake, and I am presenting you with well-known examples for all (gathered mostly by my students at Corvinus):
- Lost Knowledge with Leadership Turnover
When senior leaders leave, they take with them a wealth of institutional knowledge. Without a structured system for knowledge retention, companies are forced to relearn critical insights at great expense.
I just read about the case of Ford Motor Company. 🚗 In the early 2000s, Ford invested heavily in a sophisticated in-house IT platform to improve supply chain management. However, due to executive turnover and shifting priorities, the system was abandoned. Years later, a new leadership team commissioned the development of a nearly identical platform, unaware that the company had already built (and discarded) a similar solution. The result? Millions spent on duplicating past efforts rather than building upon existing knowledge. 💰
- Short-Term Thinking and Performance Metrics
Corporate knowledge retention is often deprioritized because it doesn’t contribute to short-term performance metrics. Leaders are incentivized to show immediate results rather than invest in long-term knowledge infrastructure.
Boeing’s 737 MAX crisis is a tragic example of this mindset. ✈️ In an effort to cut costs and boost short-term profits, Boeing reduced its experienced engineering workforce and outsourced critical software development. This loss of expertise contributed to fatal design flaws that resulted in two deadly crashes. ⚠️ Had Boeing prioritized institutional knowledge retention, engineers might have caught these issues earlier, preventing disaster.
- Technology as a Passive Repository
Many companies invest in sophisticated knowledge management systems, but these tools often become mere storage units rather than active learning platforms.
NASA provides a striking example. 🚀 In the 1960s, it successfully sent astronauts to the moon with the Apollo program. Decades later, when the agency began planning for future lunar missions, it discovered that much of the original knowledge had been lost—blueprints, technical specifications, and even key engineering insights were missing. The organization had failed to properly archive and update its knowledge, forcing a new generation of engineers to reverse-engineer their predecessors’ work. 🔍
- Silos and Lack of Cross-Departmental Learning
In large corporations, knowledge is often trapped within isolated departments, preventing valuable insights from being shared across the organization. 🚧
Take Microsoft’s early struggles with its mobile operating system. 📱 Teams working on Windows Phone failed to integrate insights from the company’s Xbox and PC gaming divisions, both of which had strong user engagement strategies. As a result, Microsoft’s mobile platform lacked features that could have given it a competitive edge against Apple and Android. By the time the company realized its mistake, it was too late—the market had already moved on.
The Real Cost of Forgetting 💰
The consequences of poor knowledge management aren’t just inefficiencies—they’re tangible financial and strategic losses:
💸 Wasted money and resources: companies spend millions solving problems they’ve already solved. 🏆 Lost competitive advantage: when companies fail to learn from the past, competitors who remember gain the edge.
😡 Employee frustration: talented employees leave when they see their efforts constantly erased and repeated.
🚶♂️ Slower innovation: progress stalls when teams spend more time rediscovering knowledge than building on it.
How to Fix the Memory Problem
This is a very difficult question, and I can hardly tell you a perfect solution. 🛠️ But there are a few paths that some of my clients follow, and they seem to show promising results:
👏 Support a culture of knowledge sharing by encouraging mentorship programs and creating platforms where employees can share insights and experiences. You can also regularly recognize and reward employees who actively contribute to knowledge retention.
🤖 Leverage technology effectively, especially now that AI knows it all. Implement AI-driven knowledge management tools that actively suggest relevant past work and ensure that wikis, databases, and archives are regularly updated and user-friendly.
📊 Tie knowledge retention to performance metrics, even though it seems almost impossible. But still, try to treat knowledge loss as a financial risk and ensure continuity planning is part of leadership transitions.
But most important of all: before launching a new initiative, ask yourself: Has this been done before? And if so, what can we learn from it? 💭
Feel free to contact me and pick my brain on your dilemmas! Best, Brigi