Design and Testing of an Online Customer Experience Model in Social Networks with a Mixed Approach

Abstract

Objective: The aim of this study is to propose a model to determine and explain the antecedents and consequences of online customer experience in social media. Methodology: This research was conducted using a mixed-methods approach. In the qualitative section, data were collected through semi-structured interviews with 20 experts in the field of digital marketing and analyzed using content analysis and MAXQDA software. In the quantitative section, a questionnaire based on the qualitative model was distributed among 384 social media users who were customers of online stores. The quantitative data were analyzed using SPSS 24 and Smart PLS 3 software. Findings: The results showed that environmental factors, customer retention, product purchase, customer-centricity, and product significantly impacted the online customer experience, while ease-of-use did not have a significant effect. Additionally, the model developed in the qualitative section successfully explained the relationships between the variables and was deemed suitable for practical application in digital businesses. Conclusion: This study demonstrated that various factors such as environment, customer-centricity, and purchase processes play a crucial role in enhancing the online customer experience. Organizations can improve customer experience by focusing on these factors and refining their digital strategies, which in turn can increase customer satisfaction and loyalty. The findings also highlight the importance of personalized services and engagement with customers in digital platforms.