Document Type : Research Paper

Authors

1 PhD Student in Business Administration, Marketing Orientation, , Payame Noor University, Tehran, Iran

2 Associate Professor, Department of Business Management, , Payame Noor University, Tehran, Iran.

3 Professor, Department of Business Management, Payame Noor University, Tehran, Iran

Abstract

Different developed export Models are based on the characteristics of the country of origin and destination, type of goods, relationships, facilitators and restrictions identified. Marketing is based on sales and exports, and digital marketing, using digital tools and channels, has transformed traditional marketing methods and accelerated and facilitated the achievement of its goals. Many variables of marketing require environmental stability and predictability, but some,due to their environmental complexity, can be optimized with smart tools. On the other hand, influence and strengthening presence in the market in Central Asia and the Caucasus, especially in high-tech, and fast-growing technology, require the use of new tools. So, can smart tools such as digital marketing, artificial intelligence, facilitate the exports target of high-tech? What are the variables? In this study, 10 components were identified that can meet this challenge: smart digital marketing tools, smart consumers, smart analysis, smart concepts, smart APPs, smart communications, smart-commerce, smart participation in knowledge production and smart transactions as well as cyber security. Based on interpretive structural modeling, this applied research identified and classified a 5-level model and a 4-sectorMICMAC matrix for 30 effective variables through inductive, scientific, and hybrid methods in paradigm-pragmatism. The most important component is smart intelligent analysis and it was found that the components of smart knowledge, smart communication, cyber security have the highest potential of growth in the export development model for Central Asia and the Caucasus for planning and decision making.

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