In fast-cycle, high technology industries, the speed and rate at which companies can introduce products into the market are critical for sustaining competitive advantage and market share. The authors analyze new product development by three international manufacturers that dominate a segment of the electronic component industry. The objective is to examine the impact of two distinct product development strategies and structures on time-to-market. The analysis of more than 200 new product developments provides important findings. A concentrated new product development structure, in contrast to a distributed structure, affords rapid prototyping. However, volume production is reached faster in the distributed structure. Also, devoting more time to prototyping hastens volume production.time-to-market, new product development, product prototyping, hazard function models
The authors study the impact of time-based product development on sustainable market share gains in a high-technology computer component industry. Three dominant firms, with international new product development and manufacturing facilities, have introduced more than 200 new products into this fast-cycle market in a five-year period. The authors systematically examine the leads and lags at critical stages of the product development process: concept generation, prototype completion, and volume production. Their main finding is that lead-time advantage affects market share positively, albeit differentially, at each stage. The benefit of lead-time gain is greatest at the volume production stage, followed by the concept generation stage. The authors also develop a new notion of lead-time threshold—a time period in which if a competitor catches up, no market share gain is achieved by the firm that introduces the product first. They endogenously estimate the magnitude of the threshold for each stage of the product development process, observing that a significant threshold is present at both the concept generation and volume production stages. Finally, the structure of the development process, which differs across the firms in the market, affords significant differential ability to catch up with competitors.
In corporate policy statements, seminars, journal articles—even in television commercials—the message comes through loud and clear: To remain competitive, we must do a better job of listening to our customers. Through close contact with customers, designers can more accurately identify market requirements, quickly refine product specifications, and thus reduce time to market. However, too much customer input can create confusion and duplication of effort, which ultimately increases time to market. In other words, some firms run the risk of over‐listening to their customers. In a study of three global players in the electronic component industry, Srikant Datar, Clark Jordan, Sunder Kekre, Surendra Rajiv, and Kannan Srinivasan explore the effects of having too much input from customers. Specifically, they examine the relationship between a company's new product development structure and the volume of customer input, which in turn can affect time to market. The high‐tech, fast‐cycle firms examined in this study employ two distinct new product development structures: concentrated and distributed. A concentrated structure locates all product designers in one facility. This facilitates cross‐product learning among designers, but limits designers' contact with customers and process engineers. A distributed structure disperses new product development among numerous manufacturing sites, giving designers close contact with customers and process engineers. However, a distributed structure limits designers' opportunities for cross‐product learning. Analysis of 220 new product efforts reveals that the distributed structure offered a time‐to‐market advantage as long as these firms efficiently managed the level of customer interaction. When designers received input on the product design from no more than 25 customers, the distributed structure provided shorter time to market than the concentrated structure. Beyond the 25‐customer level, time‐to‐market performance of the distributed structure degraded quickly and at an increasing rate. In such cases, more effective management of customer interaction might allow firms employing a distributed structure to enjoy the benefits not only of customer input, but also of improved coordination between product designers and process engineers.
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