Analysis of Influence of Internet Retail Service Quality (IRSQ) to Consumer Online Shopping Satisfaction at www.kebanaran.com
Imam tahyudin

TL;DR
This study examines how different aspects of Internet Retail Service Quality (IRSQ) influence consumer satisfaction on www.kebanaran.com, highlighting the importance of security and information quality in online shopping experiences.
Contribution
It identifies which IRSQ variables significantly impact online shopping satisfaction, providing insights into critical factors for enhancing e-commerce service quality.
Findings
Security and information significantly affect satisfaction.
Performance, access, and sensation do not significantly influence satisfaction.
Standard online store features contribute to consumer confidence.
Abstract
The purpose of this research was to determine the influence of Internet Retail Service Quality (IRSQ) (website performance, access, security, sensation, and information) to the satisfaction www.kebanaran.com online shoppers. The method of analysis used was path analysis. Based on the research results influence IRSQ variables (performance, access, sensation, and information security), performance variables (X1), access (X2) and sensation (X3) had no significant effect on satisfaction (Y). It showsthat the online shopping website www.kebanaran.com already apply standard terms online stores in general, such as membership, has a return policy, a unique craft product offerings, the choice of language, the choice of currency, the chatroom facility, the product ctalogue about images from different angles and so forth, so that consumers be sure to purchase products through the online shopping…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSMEs Development and Digital Marketing · Information Retrieval and Data Mining · Consumer Behavior and Marketing Influence
