Short answer

Designers and marketers should prioritize creating an engaging and valuable live streaming experience that builds customer confidence, as this is more effective for driving repeat purchases than relying solely on discounts.

Field
Innovation & Markets
Source
Humanities and Social Sciences Communications (2024)
Method
Quantitative research using Structural Equation Modeling (SEM).
Evidence
Strong effect

Customer repurchase intention in live streaming shopping is significantly influenced by perceived interactivity, perceived quality, and perceived value, mediated by confirmation and satisfaction. This innovation & markets research insight is drawn from a 2024 study published in Humanities and Social Sciences Communications. Using Quantitative research using structural equation modeling (sem)., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers and marketers should prioritize creating an engaging and valuable live streaming experience that builds customer confidence, as this is more effective for driving repeat purchases than relying solely on discounts.

Study
Innovation & MarketsRecentStrong effect

Interactivity and Perceived Value Drive Repurchase in Live Streaming Shopping

Customer repurchase intention in live streaming shopping is significantly influenced by perceived interactivity, perceived quality, and perceived value, mediated by confirmation and satisfaction.

Humanities and Social Sciences Communications · 2024

01

Key Findings

  • 01Perceived interactivity, perceived quality, and perceived value directly and significantly impact confirmation and customer satisfaction.
  • 02Perceived discounts influence user satisfaction indirectly, mediated by confirmation.
  • 03Confirmation positively affects satisfaction, which in turn impacts repurchase intention.
  • 04Gender significantly influences consumers' repurchase intentions.
02

Application

Design takeaway

Designers and marketers should prioritize creating an engaging and valuable live streaming experience that builds customer confidence, as this is more effective for driving repeat purchases than relying solely on discounts.

How to apply

When designing or managing live streaming shopping campaigns, focus on features that enhance real-time interaction between hosts and viewers, clearly showcase product quality, and articulate the overall value proposition. Consider tailoring approaches based on observed gender preferences.

Project actions

  • 01When researching online shopping experiences, consider how interactive features and perceived value influence customer loyalty.
  • 02Explore how different marketing strategies (e.g., discount-focused vs. value-focused) impact user satisfaction and repeat purchase rates.
03

Method & Evidence

AimTo investigate the key factors influencing customer repurchase intention in live streaming shopping, specifically examining the roles of perceived interactivity, quality, value, discounts, confirmation, and satisfaction.
MethodQuantitative research using Structural Equation Modeling (SEM).
ProcedureA model was developed based on Expectation Confirmation Theory to analyze the relationships between various perceived factors and repurchase intention. Data was collected and analyzed using SEM to test the proposed relationships, with gender included as a control variable.
ContextLive streaming shopping in China.

Variables

IV["Perceived interactivity","Perceived quality","Perceived value","Perceived discounts","Confirmation","Satisfaction","Gender"]
DV["Repurchase intention"]
CV["Gender"]
04

Strengths & Limitations

Strengths

  • +Utilizes a robust statistical method (SEM) to analyze complex relationships.
  • +Based on a well-established psychological theory (Expectation Confirmation Theory).

Limitations

The study's focus on a specific market (China) might limit its applicability to other regions. The influence of cultural nuances on consumer behavior was not deeply explored.

Reliability & validity

The use of SEM suggests a rigorous statistical analysis, contributing to the internal validity of the model. Reliability would depend on the quality of the survey instrument used to collect data on the perceived factors.

Think critically

To what extent do cultural differences in consumer behavior influence the effectiveness of perceived interactivity and value in driving repurchase intention in live streaming shopping?

05

Design Principles

"Customer satisfaction and repurchase intention are built on a foundation of perceived value, quality, and interactivity, with confirmation acting as a critical mediator."

Understanding these drivers is crucial for businesses employing live streaming as a sales channel. By optimizing for perceived interactivity and value, companies can foster greater customer loyalty and reduce high return rates, leading to more sustainable sales models.

06

What This Means for Your Design

In online shopping where you watch someone sell products live, people are more likely to buy again if they feel involved, think the product is good, and believe they're getting a good deal. Just offering discounts isn't enough; they need to feel good about the whole experience first.

How to use in your project

  • 1.Use this study to inform your research question about user engagement and its impact on product adoption or repeat usage.
  • 2.Reference the findings when discussing the importance of perceived value and interactivity in your design proposal.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research indicates that in live streaming shopping, perceived interactivity, quality, and value are critical drivers of customer satisfaction and subsequent repurchase intention, mediated by the degree of confirmation. Discounts alone are less effective without this foundational confirmation. Therefore, design efforts should focus on enhancing these core perceived elements to foster long-term customer loyalty.

09

Source

Humanities and Social Sciences Communications

Understanding the self-perceived customer experience and repurchase intention in live streaming shopping: evidence from China

journal · 2024

View source

Questions About This Research

What does the research say about interactivity and perceived value drive repurchase in live streaming shopping?
Designers and marketers should prioritize creating an engaging and valuable live streaming experience that builds customer confidence, as this is more effective for driving repeat purchases than relying solely on discounts. Evidence: Humanities and Social Sciences Communications (2024).
Why does "Interactivity and Perceived Value Drive Repurchase in Live Streaming Shopping" matter for design?
Understanding these drivers is crucial for businesses employing live streaming as a sales channel. By optimizing for perceived interactivity and value, companies can foster greater customer loyalty and reduce high return rates, leading to more sustainable sales models.
How can designers apply this research?
Designers and marketers should prioritize creating an engaging and valuable live streaming experience that builds customer confidence, as this is more effective for driving repeat purchases than relying solely on discounts.
What were the main findings?
Perceived interactivity, perceived quality, and perceived value directly and significantly impact confirmation and customer satisfaction.. Perceived discounts influence user satisfaction indirectly, mediated by confirmation.. Confirmation positively affects satisfaction, which in turn impacts repurchase intention.. Gender significantly influences consumers' repurchase intentions.
What research method was used?
Quantitative research using Structural Equation Modeling (SEM)..
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2024 journal from Humanities and Social Sciences Communications.
What should I do differently in my next project?
When designing or managing live streaming shopping campaigns, focus on features that enhance real-time interaction between hosts and viewers, clearly showcase product quality, and articulate the overall value proposition. Consider tailoring approaches based on observed gender preferences.
What are the limitations?
The study was conducted in China, and findings may not be universally applicable to all markets. The specific platform and product types were not detailed, which could influence results.