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R. McDermot, “Why information technology inspired but cannot deliver knowledge management,” California Management Review, Vol. 41, No.4, pp. 103–117, Summer 1999.

**R. McDermot, “Why information technology inspired but cannot deliver knowledge management,” California Management Review, Vol. 41, No.4, pp. 103–117, Summer 1999.**

When most companies roll out a shiny new enterprise‑wide IT system, the hope is that the technology will magically transform the way knowledge is created, shared, and leveraged. The title of R. McDermot’s classic article captures a paradox that many executives still wrestle with: information technology (IT) can *inspire* knowledge management (KM) initiatives, but it rarely *delivers* them. Understanding this divide is key for any organization looking to turn its data assets into competitive advantage.

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### Why IT Inspires Knowledge Management

1. **Data‑Driven Visibility** – IT systems collect, store, and retrieve vast amounts of information. That data can be visualized through dashboards, analytics, or knowledge repositories, giving employees a tangible sense that “knowledge exists” and can be accessed.
2. **Collaboration Platforms** – Social intranets, wikis, and real‑time messaging tools demonstrate how technology can break down silos. When people see peers posting insights online, the idea of sharing knowledge becomes socially acceptable and even exciting.
3. **Process Automation** – Workflow tools and AI assistants automate routine tasks, freeing up time for employees to focus on higher‑value work, including knowledge creation. IT thus sets the stage for a culture that values learning and collaboration.

These factors create a *theoretical* promise: with the right tools, organizations can systematically capture and disseminate expertise. But the promise often falters when it comes to *execution*.

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### Why IT Fails to Deliver Knowledge Management

1. **Human Behavior vs. Technical Design** – No matter how sophisticated a knowledge repository is, it will remain empty if users are unwilling to contribute. Motivation, trust, and a sense of ownership are hard to engineer with code alone.
2. **Organizational Culture** – KM requires a culture that rewards knowledge sharing, not just individual performance. When performance metrics emphasize individual output, employees may hoard information to protect their own career prospects.
3. **Governance and Alignment** – IT projects frequently run on their own schedules and budgets, disconnected from business strategy. Without governance that ties KM objectives to strategic goals, initiatives lack direction and fail to scale.
4. **Integration Challenges** – Knowledge does not exist in isolation; it is embedded in processes, products, and customer interactions. Integrating disparate systems and ensuring data quality is a complex, ongoing task that outpaces most IT roadmaps.
5. **Skill Gaps** – Successful KM needs not only IT tools but also “soft skills” such as storytelling, facilitation, and knowledge curation. Training staff to use technology effectively can lag behind software deployment.

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### Turning Inspiration into Delivery

The solution, as McDermot and subsequent scholars argue, is a **holistic KM strategy** that marries technology with people, process, and purpose. Start with a clear KM vision linked to strategic priorities. Embed incentives that reward knowledge sharing, and invest in continuous training that highlights both how to use the tools and why sharing matters. Design governance structures that monitor not just usage metrics, but also the quality and relevance of shared knowledge.

In practice, this means moving beyond a simple “install a knowledge base” mindset to a *culture of learning*. Companies that succeed are those that treat IT as a catalyst, not a silver bullet—leveraging technology to amplify human creativity, collaboration, and insight.

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### SEO Keywords

– Knowledge management (KM)
– Information technology (IT) strategy
– Organizational learning
– Knowledge sharing culture
– KM implementation challenges
– Enterprise knowledge repositories
– IT and human factors
– KM governance
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By recognizing the limits of IT and investing equally in people and processes, organizations can finally transform the promise of knowledge management into real, measurable business value.