Document Type : Original Article

Authors

• Ashkan Shabbak ¹
• Maryam Mirzaie ²
• Hamed Lorvand ³

¹ Academic member, Data processing and Dissemination Department, SRTC

² Researcher, SRTC

³ Academic member, Isfahan university of technology, mathematics science faculty

Abstract

Abstract: Due to the growing expansion of using information and communication technology (ICT) in all aspects of human life, especially in social and economic fields, it is necessary to know the manner and status of how people use it and What variables and factors affect it. Thus, in this article, results of the survey on ICT access and use by households and individuals of Iran (2017), as a last available data, are analyzed with regression methods to study the influential variables and factors in the Internet usage and online shopping. Number of purchases are expressed as the variable y from m goods. Online shopping as a response variable, includes life essential goods, entertainment, educational and cultural services. In this regard, the impact variables and factors such as urban or rural, gender, age, literacy, education and activity status are studied on the response variable. It is worth mentioning that due to the hierarchical structure of the data and the lack of independency assumption, the multilevel regression model with two-sentence response has been used. Results show that two-level regression model with binomial response for hierarchical data has a better performance.

Keywords

• Internet Usage
• Multi-Level Regression
• Hierarchical structure
• information and communication technology(ICT)