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Phase 3, Growth: The fast-growth phase is characterized by its focus on the market.

Main problems:

  • Producing larger quantities
  • Guaranteeing quality
  • Expanding market share
  • Personnel problems

Phase 4, Stability: In this phase the focus lies on consolidating the market position with the initial product, and developing further products.

Main problem:

  • Simultaneously managing the market entry of new products without losing the competitive advantages of older products.

Although life phase models like these can help the decision-making process in research and practice, they also have their pitfalls. In a review of such models, Sexton and Bowman/Upton (1991) warned that economic phenomena cannot always be compared to biological phenomena (life cycles). Firm growth does not always develop through the phases of such models in a straightforward, linear way, for example. Particularly in fast-growing industries involving technological change, growth is more chaotic than ordered. Moreover, well-known growth models with a bell-shaped, concave, or plateau structure are only useful as ideal reference patterns for actual growth processes.

Building on this criticism, Covin and Slevin (1997) suggest another growth model from the complexity management perspective. This model emphasizes that growth occurs through certain market factors in combination with internal competences and resources. The main problem for entrepreneurs is overcoming the increasing organizational and external complexity. In the following sections of this chapter we will define possible strategies for start-up growth. See [link] below.

A flow chart of the growth of a start up, consisting of different components in the following categories: desire for growth, growth enabler, growth, complexity, desire for change, change enabler, transition stage, and firm performance.
The “complexity management” growth model

Industrial change is often triggered by technological changes, for which there are many examples: the substitution of digital technologies in a whole range of analog products, from office equipment to telephones, and the Internet as a communication medium. Technological changes like this enable start-up firms developing new technologies and introducing them to the market to take over the positions of their established competitors.

A second catalyst for industrial transformations is change in consumer behavior. The increasing technological competence of customers, for example, has enabled the growth of direct computer sellers like Dell. Customers are prepared to get information about even high-technology products from the Internet and order them online instead of asking for advice in a shop.

Deregulation or liberalization can also be a reason for industrial transformation and change. In recent years industry deregulation has created opportunities for start-up firms and growth opportunities in general in various industries, such as the air traffic, telecommunications, or financial service sectors.

Changes in technologies, customer preferences, or regulations offer opportunities for transformation and change, but it is up to entrepreneurs to make use of them. At the beginning of a transformation period, firms must experiment with different strategies to tap the growth potential of the industry situation. We have seen many different such experiments with Internet technologies in the last few years. Many of them came to nothing, but several successful business models have survived. We have already given the example of Dell as a successful direct provider of PCs via the Internet. Further examples are US company Auto-By-Tel’s sale of cars to traditional car dealers via the Internet, or E-Bay, the Internet auctioneers.

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Source:  OpenStax, Business fundamentals. OpenStax CNX. Oct 08, 2010 Download for free at http://cnx.org/content/col11227/1.4
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