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Subjective Norm of Interest to Use in Online Shopping Rini Larasati Irawan; Ratih Hurriyati; Mohamad Reza Nurpratama
Almana : Jurnal Manajemen dan Bisnis Vol 4 No 3 (2020): December
Publisher : Program Studi Manajemen, Fakultas Ekonomi, Universitas Langlangbuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (118.183 KB) | DOI: 10.36555/almana.v4i3.1489

Abstract

In this generation, shopping online is not considered a taboo thing anymore. This matter is supported by its various applications that are already familiar to people all over the world. Jakarta is among one of all Indonesian capital cities, where shopping online has made it easier for people to shop and to erase gaps while shopping, saves more time, and it's other advantages. The urge and influence of people around us can be one of the main reasons that might affect it. Subjective norm and interest to use are the two variables used in this research. The data were collected by spreading questionnaires through google forms, the amount of collected respondent are 65 respondent who came from Jakarta. The result of the research used the AMOS program. And the hypothesis test result shows that all probabilities, whether it's the subjective norm or the interest to use, are significant.
From Regret to Growth: Post-Purchase Dissonance Meaning Reconstruction, and Eudaimonic Well-Being in Digital Education Service Consumption Mohamad Reza Nurpratama; Vanessa Gaffar; Bambang Widjajanta; Lisnawati Lisnawati; Rini Larasati Irawan
Journal Evaluation in Education (JEE) Vol 7 No 2 (2026): April
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jee.v7i2.2419

Abstract

Purpose of the study: This study investigates the transformative role of Meaning Reconstruction (MR) in mediating the relationship between Post-Purchase Dissonance (PPD) and Eudaimonic Well-Being (EWB) in the context of digital education service consumption in Indonesia. Methodology: This study employs a quantitative explanatory design using Structural Equation Modeling–Partial Least Squares (SEM-PLS). Data were collected through web scraping from 500 publicly accessible posts on Twitter (X), Reddit, and TikTok discussing post-purchase experiences with digital education services in Indonesia (2020–2024). Computational text analysis using a fine-tuned IndoBERT model was applied to derive construct scores for PPD (X1–X3), MR (M1–M4), and EWB (Y1–Y4). Indicators were quantified using algorithmically normalized NLP-based semantic intensity scores ranging from 1 to 7, representing computational estimations of construct magnitude rather than self-reported NLP-based normalized semantic score (1–7) responses. Main Findings: Results confirm that PPD significantly influences MR (β=0.446, p<0.001) and MR strongly predicts EWB (β=0.481, p<0.001). The direct path PPD→EWB is significant (β=0.176, p<0.001), while the indirect effect via MR is also significant (β=0.214, t=8.248, p<0.001), with a Variance Accounted For (VAF) of 54.8%, indicating partial mediation. R²(MR)=0.199 and R²(EWB)=0.338. All measurement model criteria are satisfied: outer loadings >0.70, AVE >0.50, CR >0.70, and HTMT <0.85. Novelty/Originality of this study: Reconstruction as a critical transformative mechanism, reframing post-purchase dissonance from a purely negative outcome into a catalyst for consumer psychological growth. The use of computational text analysis (NLP + web scraping) as an alternative to conventional surveys further contributes methodological novelty.