Short answer
Focus on both proactive service quality and reactive recovery strategies to build lasting customer loyalty and drive repeat purchases in online markets.
- Field
- Innovation & Markets
- Source
- Jurnal Sistim Informasi dan Teknologi (2023)
- Method
- Quantitative research using structural equation modeling (Partial Least Squares - PLS).
- Sample
- 100 participants
- Evidence
- Strong effect
Investments in electronic service quality and effective online recovery processes significantly boost customer loyalty, directly influencing their likelihood to repurchase. This innovation & markets research insight is drawn from a 2023 study published in Jurnal Sistim Informasi dan Teknologi. Using Quantitative research using structural equation modeling (partial least squares - pls). with 100 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Focus on both proactive service quality and reactive recovery strategies to build lasting customer loyalty and drive repeat purchases in online markets.
Enhancing Online Re-Purchase Intentions Through Service Quality and Recovery Strategies
Investments in electronic service quality and effective online recovery processes significantly boost customer loyalty, directly influencing their likelihood to repurchase.
Jurnal Sistim Informasi dan Teknologi · 2023
Key Findings
- 01Electronic service quality positively impacts online loyalty.
- 02Electronic service quality positively impacts online repurchase intention through e-loyalty.
- 03Electronic recovery positively impacts online repurchase intention through e-loyalty.
Application
Design takeaway
Focus on both proactive service quality and reactive recovery strategies to build lasting customer loyalty and drive repeat purchases in online markets.
How to apply
Implement user-friendly interfaces, responsive customer support, and clear processes for handling returns and complaints to foster customer loyalty and encourage repeat business.
Project actions
- 01When designing an online service, think about how easy it is for users to get help.
- 02Consider how your product or service will handle complaints or issues.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Utilizes a statistical method (PLS) suitable for complex relationship modeling.
- +Focuses on actionable aspects of online business (service quality and recovery).
Limitations
The sample size of 100 might be small for drawing definitive conclusions about all online shoppers.
Reliability & validity
The use of PLS-SEM allows for the assessment of model fit and the reliability of constructs, contributing to the study's validity.
Think critically
How might cultural differences influence the perceived importance of service quality versus recovery in different online markets?
Design Principles
"Customer loyalty is cultivated through consistent service excellence and effective issue resolution."
In the competitive e-commerce landscape, understanding the drivers of customer loyalty is paramount. This research highlights that not only the initial quality of service but also how effectively issues are resolved post-purchase, are critical for fostering repeat business and long-term customer relationships.
What This Means for Your Design
Making online shopping easy and fixing problems well makes customers want to buy again.
How to use in your project
- 1.Use this research to justify the importance of user experience and customer support in your design project's evaluation criteria.
- 2.Refer to this study when discussing how your design choices can impact customer loyalty and repeat business.
Add to My Project
Quick Cite
Paragraph starter
This study by Dhaniswara et al. (2023) demonstrates that electronic service quality and effective electronic recovery significantly enhance online repurchase intentions by fostering e-loyalty. This underscores the importance of designing user-centric online experiences that prioritize both seamless service delivery and robust issue resolution to cultivate customer retention and repeat business.
Source
Jurnal Sistim Informasi dan Teknologi
The Influence of Electronic Service Quality and Electronic Recovery on Online Re-Purchase Intention: Role of E-Loyalty as Intervening Variable
journal · 2023
View sourceQuestions About This Research
- What does the research say about enhancing online re-purchase intentions through service quality and recovery strategies?
- Focus on both proactive service quality and reactive recovery strategies to build lasting customer loyalty and drive repeat purchases in online markets. Evidence: Jurnal Sistim Informasi dan Teknologi (2023).
- Why does "Enhancing Online Re-Purchase Intentions Through Service Quality and Recovery Strategies" matter for design?
- In the competitive e-commerce landscape, understanding the drivers of customer loyalty is paramount. This research highlights that not only the initial quality of service but also how effectively issues are resolved post-purchase, are critical for fostering repeat business and long-term customer relationships.
- How can designers apply this research?
- Focus on both proactive service quality and reactive recovery strategies to build lasting customer loyalty and drive repeat purchases in online markets.
- What were the main findings?
- Electronic service quality positively impacts online loyalty.. Electronic service quality positively impacts online repurchase intention through e-loyalty.. Electronic recovery positively impacts online repurchase intention through e-loyalty.
- What research method was used?
- Quantitative research using structural equation modeling (Partial Least Squares - PLS). with 100 participants.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2023 journal from Jurnal Sistim Informasi dan Teknologi.
- What should I do differently in my next project?
- Implement user-friendly interfaces, responsive customer support, and clear processes for handling returns and complaints to foster customer loyalty and encourage repeat business.
- What are the limitations?
- The study used non-probability purposeful sampling, which may limit the generalizability of findings to broader online consumer populations.