Value Networks

Definition

A value network is "the context within which a firm identifies and responds to customers' needs, solves problems, procures input, reacts to competitors, and strives for profit." Because firms' past choices of markets shape what they perceive a new technology to be worth, the same innovation can look worthless in one value network (mainframe computing) and be the basis of an entire new industry in another (minicomputers). Each value network also carries its own characteristic cost structure and gross-margin expectations, tuned to what its customers demand and are willing to pay.

In the Book

Chapter 2 introduces the concept as a third explanation for why good firms fail, distinct from prior organizational-structure theories (Henderson and Clark's component-versus-architecture framework, illustrated with Tracy Kidder's account of Data General engineers seeing "Digital's organization chart in the design of the product") and capabilities-based theories (Clark's hierarchical, experiential view of technological competence). Neither explains why disk drive leaders successfully executed extremely radical sustaining innovations yet failed at technologically trivial disruptive ones — the value network does, because a firm's resource-allocation choices track the rewards visible from within its own network. Chapter 4, "What Goes Up, Can't Go Down," extends this with Seagate Technology's documented migration upmarket after the disruptive 3.5-inch drive invaded the desktop market from below: firms making 8-inch drives for minicomputers, needing 40% gross margins, found it far easier to chase a market accustomed to 60% margins (mainframes) than to compete downmarket against firms who could profit at 25% margins.

Why It Matters

Value networks explain an asymmetry that pure technology or capability arguments miss: firms migrate upmarket easily and downmarket almost never, because their entire cost structure — R&D, sales, overhead — has been tuned to a specific tier of customer demand, and that tuning makes low-end competition structurally unprofitable for them even when it is technologically trivial. This gives a way to predict, in any industry with tiered customer segments and margin structures, which direction an incumbent will move and where a low-end entrant will find room to attack undefended.