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 Export of high-tech products and services is a quick shortcut according to the development program goals, comparative advantages and current situations and requirements of Iran, which requires non-traditional methods, especially digital marketing. While many digital marketing variables require environmental stability and predictability, a significant number of variables and components have dynamic specifications and their optimization capability requires a nonlinear approach. Can paying attention to dynamic features accelerate and facilitate the achievement of digital marketing goals? What are its dynamics variables? New concepts have been identified and introduced in response to these questions in this article, which include: dynamic mix marketing, customer dynamics, dynamic environment, employee dynamics, dynamic economy, dynamic organization, dynamic financial support, dynamic life cycle and dynamic strategy Based on interpretive structural modeling, their role in optimizing the export of High-tech is confirmed to be effective. In this applied research, an attempt has been made to identify and classify 22 variables into nine components through inductive, scientific and combined methods in a pragmatic paradigm of four levels. The dynamic customer component in the model gained the highest priority. At the same time, the findings showed that the variables related to the components of dynamic organization, dynamic marketing mix, dynamic financing, employee dynamics and dynamic life cycle have a strong ability in planning to improve the effectiveness of the model, respectively.

Keywords: Digital Marketing, Dynamic Digital Marketing, Advanced Technology, Interpretive Structural Modeling, Dynamic Organization, Dynamic Customers.

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