Aligning KM and business strategy

Knowledge management strategy has to be tied directly to business strategy—otherwise knowledge work stays disconnected from competitiveness, productivity, and innovation. The core idea is that organizations should first determine what knowledge they need to execute their current and future goals, then build a knowledge map and choose the right knowledge-transfer approach (people-to-people or document-and-system) to close the gaps.

Two major knowledge-transfer strategies drive how tacit and explicit knowledge move through an organization. Personalization strategy focuses on tacit-to-tacit transfer through direct interaction: teams, meetings, and networks (virtual or physical) where knowledge workers share expertise in context. This approach tends to produce more creative, customized services and products, but it is also more subjective and depends on meaningful collaboration. Codification strategy relies on technology and infrastructure to store, retrieve, and reuse knowledge that already exists in documented form—such as manuals, guidelines, and audio/video recordings. Codification supports consistent, reliable, cost-effective service delivery because archived knowledge is easy to access, but it can become static and less adaptable when conditions change.

Before building systems, organizations need to identify knowledge gaps and strategy gaps. That starts with assessing the current knowledge base—what the organization knows today (tacit, explicit, or both) and what skills and expertise exist among people and in documentation. Then leaders compare it to the knowledge base required to compete effectively in the future. In parallel, they examine the strategy gap: what the organization is doing now to achieve objectives tied to its vision and mission, versus what it must do to reach those objectives (for example, whether an expansion plan should succeed or whether diversification is required).

To connect knowledge to strategy, the process moves toward creating a knowledge map and benchmarking against competitors. The transcript frames competitor knowledge in three levels: core knowledge and core competence, then the ability to move beyond those toward innovation. Depending on where each organization sits—core, advanced, or highly innovative—different competitive outcomes follow: a firm stuck at core while rivals innovate becomes a “risk” player; a firm that reaches advanced while rivals lag can become a market leader; and a firm that innovates while rivals remain core gains a competitive edge.

Finally, the alignment step considers the external environment’s uncertainty and how it shapes both business strategy and knowledge management strategy. Competitive pressure, technical and regulatory conditions, and the level of uncertainty influence choices such as cost leadership versus differentiation and, in turn, whether knowledge management should emphasize collaboration, documentation, or both. Technology choices (including enterprise systems like ERP implementations) and collaboration barriers also matter, since knowledge systems require investment and adoption.

The alignment workflow is practical: articulate business strategy (cost, differentiation, focus, or combinations), identify the knowledge required at individual, group, and organizational levels, map current knowledge, close gaps, select codification versus personalization, benchmark competitors, assess learning and innovation capabilities, and then exploit the resulting knowledge through IT-enabled archives and feedback loops. Examples include Glaxo Wellcome, which focused on learning, action planning, IT-enabled documentation and knowledge-sharing support, and culture-building to improve return on intellectual capital; and Ernst & Young, which emphasized acquisition, storage, deployment, and value-add through culture, technology, and relationship management.