Technostress Effects on Indonesian e-Wallet Users: A Case Study with LDA Modeling and Sentiment Analysis DOI
Muhardi Saputra, Paulus Insap Santosa, Adhistya Erna Permanasari

et al.

Published: Nov. 16, 2023

This research explores the negative impact of technostress on Indonesian e-wallet users, utilizing sentiment classification and Latent Dirichlet Allocation (LDA) modeling. Previous studies have indicated triggers sentiments. study confirms similar effects in usage, employing analysis LDA Analyzing data from user reviews validates findings that generates sentiments among users. Sentiment shows a clear link between experiences reviews. The model identifies most frequent complaints. underscores e-Wallet's technostress-induced sentiments, primarily concerning service features, accessibility, service, security, crucial for fintech providers to enhance experience.

Language: Английский

Technostress Effects on Indonesian e-Wallet Users: A Case Study with LDA Modeling and Sentiment Analysis DOI
Muhardi Saputra, Paulus Insap Santosa, Adhistya Erna Permanasari

et al.

Published: Nov. 16, 2023

This research explores the negative impact of technostress on Indonesian e-wallet users, utilizing sentiment classification and Latent Dirichlet Allocation (LDA) modeling. Previous studies have indicated triggers sentiments. study confirms similar effects in usage, employing analysis LDA Analyzing data from user reviews validates findings that generates sentiments among users. Sentiment shows a clear link between experiences reviews. The model identifies most frequent complaints. underscores e-Wallet's technostress-induced sentiments, primarily concerning service features, accessibility, service, security, crucial for fintech providers to enhance experience.

Language: Английский

Citations

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