December 21, 2024
Manijeh Bahrainizad

Manijeh Bahrainizad

Academic Rank: Associate professor
Address:
Degree: Ph.D in Business Management- Marketing
Phone: 07733442125
Faculty: School of Business and Economics

Research

Title
Psychographic segmentation of online retail customers based on online shopping motivations and online shopping behaviors
Type Thesis
Keywords
Customer segmentation, Online shopping motivation, Online retail, Online search intention, Online purchase intention, Online impulse buying, Online consumer engagement
Researchers fatemeh ranjbar (Student) , Manijeh Bahrainizad (Primary advisor) , Mani Arman (Advisor)

Abstract

Background: The rapid growth of information technology and the increasing use of the internet have led to the emergence of a new form of retail transactions, known as online retailing, making online shopping a daily activity for people around the world. Shopping motivations are primarily divided into two categories: hedonic and utilitarian motivations. Hedonic motivation (such as adventure, gratification, role, value, social, and idea shopping motivations) and utilitarian motivation (achievement and efficiency) were examined to obtain diverse motivational features important for each aspect of shopping behavior (rational/impulsive shopping). These shopping motivations are mainly embedded in the consumer’s shopping values and the pleasures that the consumer seeks, which are crucial for obtaining diverse motivational features important in each aspect of shopping behavior (impulsive or rational shopping). Aim: The main objective of this research is to segment the psychographic profiles of online retail customers based on online shopping motivations and online shopping behaviors. This research pursues four secondary objectives. The first objective is to explain and identify the profile of each recognized segment based on online shopping motivations. The second objective is to explain and identify the profile of each recognized segment based on online shopping behaviors. The third objective is to explain and identify the profile of each recognized segment based on personal characteristics. The fourth objective is to provide strategies and recommendations for identifying the recognized segments. Methodology: The statistical population of this research consists of individuals who have had at least one online shopping experience from online stores. The research data were collected by distributing an online questionnaire link among 810 individuals who have had online shopping experiences from online stores, using a non-probability convenience sampling method. To analyze the d