Since customer perception of services price varying over multiple time periods have not been research widely, an analytical model which applies a dynamic systems approach over multi-time periods is developed in this paper. The model is been considered in the context of subscription-based service bundling problem, a customer can adopt any one of offered bundles. The effect of varying in customer reserved price between time periods on optimal bundle pricing is analyzed. Discussion of Several management insights is provided after illustration of numerical examples. This paper also provided a procedure to formulate probabilities of a customer choosing which bundle in given price.

Since customer perception of services price varying over multiple time periods have not been research widely, an analytical model which applies a dynamic systems approach over multi-time periods is developed in this paper. The model is been considered in the context of subscription-based service bundling problem, a customer can adopt any one of offered bundles. The effect of varying in customer reserved price between time periods on optimal bundle pricing is analyzed. Discussion of Several management insights is provided after illustration of numerical examples. This paper also provided a procedure to formulate probabilities of a customer choosing which bundle in given price.

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