Enhancing Mini Apps Continuance Usage: The Impact of Privacy Concerns, Super Apps Reputation, and Information System Quality Attributes

Building on an extended DeLone-McLean model, the current study investigates the influence of IS quality attributes, privacy concerns, super app reputation, and convenience on users' intention to continue using the Mini-Apps. The study tested hypotheses using the Structural Equation Modelling (SEM) technique. Data were collected from 289 experienced Vodacom Mpesa users in Tanzania. The study found that system quality, service quality, reputation, and satisfaction positively and significantly influence the users' intention to continue using mini-apps, while privacy concerns have adverse effects. Also, the reputation of the super apps (i.e., Vodacom Mpesa) moderates the influence of system quality and service quality on the user's intention to continue using Mini-Apps. At the same time, satisfaction plays a vital role in mediating the impact of information quality and system quality on the user's intention to continue using the Mini-Apps. Service providers and developers could use the findings to enhance IS Quality attributes and address privacy concerns and reputation to improve its continued mini-app usage. This study is among the early attempts in the African context to explore the moderation effects of super-app reputation and the mediation impact of user satisfaction on the intention to continue using mini-apps. It also extends DeLone-McLean's model by including privacy concerns, super apps' reputation, convenience, and system quality attributes to enhance mini-app continuance usage.

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Publication Details

Journal
The Journal of Informatics
Published
2025-06-16
DOI
https://doi.org/10.59645/tji.v5i1.563
Citations
1
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
4.17
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article

Enhancing Mini Apps Continuance Usage: The Impact of Privacy Concerns, Super Apps Reputation, and Information System Quality Attributes

Daniel Ntabagi Koloseni
1 citations
The Journal of Informatics
Technology Adoption and User Behaviour
4.17
article

Enhancing Mini Apps Continuance Usage: The Impact of Privacy Concerns, Super Apps Reputation, and Information System Quality Attributes

Daniel Ntabagi Koloseni
article en
1 citations

Abstract

Building on an extended DeLone-McLean model, the current study investigates the influence of IS quality attributes, privacy concerns, super app reputation, and convenience on users' intention to continue using the Mini-Apps. The study tested hypotheses using the Structural Equation Modelling (SEM) technique. Data were collected from 289 experienced Vodacom Mpesa users in Tanzania. The study found that system quality, service quality, reputation, and satisfaction positively and significantly influence the users' intention to continue using mini-apps, while privacy concerns have adverse effects. Also, the reputation of the super apps (i.e., Vodacom Mpesa) moderates the influence of system quality and service quality on the user's intention to continue using Mini-Apps. At the same time, satisfaction plays a vital role in mediating the impact of information quality and system quality on the user's intention to continue using the Mini-Apps. Service providers and developers could use the findings to enhance IS Quality attributes and address privacy concerns and reputation to improve its continued mini-app usage. This study is among the early attempts in the African context to explore the moderation effects of super-app reputation and the mediation impact of user satisfaction on the intention to continue using mini-apps. It also extends DeLone-McLean's model by including privacy concerns, super apps' reputation, convenience, and system quality attributes to enhance mini-app continuance usage.

The Journal of InformaticsVol. 5(1)
Institute of Finance Management (TZ)
Openalex Percentile: Top 6%
Technology Adoption and User Behaviour
4.17
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Enhancing Mini Apps Continuance Usage: The Impact of Privacy Concerns, Super Apps Reputation, and Information System Quality Attributes — Daniel Ntabagi Koloseni · The Journal of Informatics (2025) | TGRS Research Map | TGRS