Abstract
Purpose
This study aims to determine how to influence the customer journey of mobile food ordering applications (MFOAs) users. It researches how available information could influence customers’ intention to use MFOAs platforms in the prepurchase stage and explores the potential of personalized information to improve customer satisfaction with these services in the postpurchase stage.
Design/methodology/approach
This research followed a mixed design, combining qualitative (focus groups) and quantitative (online survey) research and using both content analysis and partial least squares structural equation modeling.
Findings
Two types of available information (firm-generated information and online customer reviews) had a positive influence on the behavioral intention to use MFOAs. Additionally, findings showed that different web personalization strategies, namely, content personalization, functional personalization and system-driven personalization, were useful tools to create customer satisfaction with this type of platform.
Research limitations/implications
The study discusses limitations regarding the sample and sampling process, indicator variables and measures.
Practical implications
The present research provides actionable insights for online food delivery providers.
Originality/value
This study addresses a research gap in the literature and provides a novel and richer understanding of customer behavior toward mobile food delivery platforms. Also, it adds to the personalization research by identifying and testing a range of web personalization strategies.
Keywords
This study aims to determine how to influence the customer journey of mobile food ordering applications (MFOAs) users. It researches how available information could influence customers’ intention to use MFOAs platforms in the prepurchase stage and explores the potential of personalized information to improve customer satisfaction with these services in the postpurchase stage.
Design/methodology/approach
This research followed a mixed design, combining qualitative (focus groups) and quantitative (online survey) research and using both content analysis and partial least squares structural equation modeling.
Findings
Two types of available information (firm-generated information and online customer reviews) had a positive influence on the behavioral intention to use MFOAs. Additionally, findings showed that different web personalization strategies, namely, content personalization, functional personalization and system-driven personalization, were useful tools to create customer satisfaction with this type of platform.
Research limitations/implications
The study discusses limitations regarding the sample and sampling process, indicator variables and measures.
Practical implications
The present research provides actionable insights for online food delivery providers.
Originality/value
This study addresses a research gap in the literature and provides a novel and richer understanding of customer behavior toward mobile food delivery platforms. Also, it adds to the personalization research by identifying and testing a range of web personalization strategies.
Keywords
| Original language | English |
|---|---|
| Pages (from-to) | 574-591 |
| Number of pages | 18 |
| Journal | Journal Of Services Marketing |
| Volume | 37 |
| Issue number | 5 |
| Early online date | 2 Nov 2022 |
| DOIs | |
| Publication status | Published - 4 May 2023 |
Keywords
- Customer journey
- Mobile food ordering applications
- Web personalization
- User-generated information
- Firm-generated information
- Customer satisfaction
