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Determinants of Repurchase Intentions at Online Stores in Indonesia

Authors: Rahmad Wijaya; Naili Farida; Andriyansah;

Determinants of Repurchase Intentions at Online Stores in Indonesia

Abstract

The rapid growth of the internet users in Indonesia poses a challenge to marketers to explore and develop the potential for e-commerce. In this article, consumer trust is expected to encourage customers to make repurchases in online stores. This article aims to build a determinant model of repurchase intention at online stores in Indonesia. This article is based on a survey of Indonesian online store consumers. Respondents were asked to provide responses related to satisfaction, trust, website quality, and repurchase intention. There were 193 final respondents obtained from 300 distributed questionnaires. The model was tested using Structural Equation Modeling (SEM) with AMOS 18. The results revealed the role of the mediating variable of customer satisfaction on repurchase intention. The findings are expected to contribute ideas related to the formation of model reinforce the repurchase intention of online store customers. This implies for website designers to design an online store capable of increasing trust and strengthening the repurchase intention.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
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