Strategic groups and International Business

Introduction stage: When Hilton develops products successfully in the national market, it could be then entered into the international market through the new outlet. In order to create demand, Hilton needs to make investment according to consumer preferences.

Growth stage: At this stage, demand for Hilton's services can enhance sales. Thus, as a result, the cost of production could be decreased and high profits could be generated. The brand of Hilton may become widely known which can also generate profits for the business organization (Mulder, 2014).

Maturity stage: In the maturity stage of PLC, the product becomes populous among customers even in an intensive competitive market. Thus, this might decrease the prices of Hilton's services and as a result, profit level might decline to a level. Thus, Hilton would have to start looking towards other opportunities as well so that the product line can be extended. At this stage, consumers could be encouraged to replace their current product with a new one. The marketing and promotion costs of Hilton Hotels could be very high at this stage.

Decline stage: According to the generalized concept, the market becomes saturated and the product is no longer demanded by the customers (Wang, 2016). This stage can occur as a natural result; however, it could be stimulated by the introduction of new and innovative products. Thus, after reaching this stage, Hilton Hotel is required to bring new and innovative products to the marketplace so that the existing customers can be retained with the business. At this stage, generally, sales decline; however even after that Hilton Hotel needs to offer the product as a loyal service entity. This will also assist in meeting the needs of potential clients.

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References

• Mulder, P., 2014. Product Life Cycle Stages. [Online]. Available through: <http://www.toolshero.com/marketing/product-life-cycle-stages/>. [Accessed on 22nd February 2017].
• Wang, W. P., 2016. Innovation Is the New Competition: Product Portfolio Choices with Product Life Cycles.
• Yue, L., and et.al., 2016. Product lifecycle-based demand forecasting by using artificial bee colony algorithm optimized two-stage polynomial fitting. Journal of Intelligent & Fuzzy Systems. 31(2). pp.825-836.

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