The influence of continuance intention on users’ well-being and intention to recommend online music streaming applications

This study aimed to identify the influence of continuance intention on a user’s well-being and intention to recommend music streaming applications. The quantitative data, which were collected from 713 users of such applications, were analyzed using the covariance-based structural equation modelling method. We interviewed 15 music streaming app users to better understand the result of quantitative data. The study found that perceived usefulness, satisfaction, personalization, and habit influenced continuance intention. It also found that users’ continuance intention influenced their intention to recommend, as well as their well-being. The findings from this study provide guidance for music streaming service providers who wish to improve their services in order to increase users’ continuance intention, intention to recommend, and well-being.

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Publication Details

Journal
Cogent Arts and Humanities
Published
2025-03-20
DOI
https://doi.org/10.1080/23311983.2025.2480445
Citations
1
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
4.17
Controls
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article

The influence of continuance intention on users’ well-being and intention to recommend online music streaming applications

Putu Wuri Handayani, Stefan Kenichi Soaloon
1 citations
Cogent Arts and Humanities
Technology Adoption and User Behaviour
4.17
article

The influence of continuance intention on users’ well-being and intention to recommend online music streaming applications

Putu Wuri Handayani, Stefan Kenichi Soaloon
article en
1 citations

Abstract

This study aimed to identify the influence of continuance intention on a user’s well-being and intention to recommend music streaming applications. The quantitative data, which were collected from 713 users of such applications, were analyzed using the covariance-based structural equation modelling method. We interviewed 15 music streaming app users to better understand the result of quantitative data. The study found that perceived usefulness, satisfaction, personalization, and habit influenced continuance intention. It also found that users’ continuance intention influenced their intention to recommend, as well as their well-being. The findings from this study provide guidance for music streaming service providers who wish to improve their services in order to increase users’ continuance intention, intention to recommend, and well-being.

Cogent Arts and HumanitiesVol. 12(1)
University of Indonesia (ID)
Openalex Percentile: Top 7%
Technology Adoption and User Behaviour
4.17
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