Garuda - Garba Rujukan Digital

Analisis strategi pemasaran untuk meningkatkan penjualan pada toko XYZ Nurpratama, Mohamad Reza; Hurriyati, Ratih; Dirgantari, Puspo Dewi; Irawan, Rini Larasati
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 5 No. 6 (2023): Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32670/fairvalue.v5i6.2890

The purpose of this study is to find out the strategy carried out by the XYZ Store in order to increase sales of its clothing products, where this is to get customer satisfaction and profit from sales that have been made, the output of the seller will get increased sales of clothing in the form of shirts, pants, and jackets which has a large size. This study qualitative research. The type of research used is the descriptive method, the object of research is one store that is in e-commerce which is a large-sized clothing store. The result showed that the 7P marketing mix became the basis for XYZ Stores to market its clothes to satisfy consumers. Based on the SWOT matrix that has been carried out, described through SO, Consumers can make clothes according to the basic materials and models they want. WO because the price of cloth is unpredictable, so sometimes the seller doesn’t get too big a profit. ST in the form of advertising prices found in e-commerce. WT, in the form of an order in a certain amount, will get an attractive discount from XYZ Store.

Digital Social Support Does Not Enhance Eudaimonic Well-Being in Fashion Brand e-WOM Communities: Evidence from Three-Year Digital Trace Data Nurpratama, Mohamad Reza; Gaffar, Vanessa; Widjajanta, Bambang; Lisnawati, Lisnawati; Irawan, Rini Larasati
Almana : Jurnal Manajemen dan Bisnis Vol. 10 No. 1 (2026): April
Publisher : Bandung: Prodi Manajemen FE Universitas Langlangbuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36555/almana.v10i1.3005

This study examines whether digital social support (DSS) in fashion brand electronic word-of-mouth (e-WOM) communities influences consumers’ eudaimonic well-being (EWB). Grounded in Self-Determination Theory and Social Support Theory, the study positions meaning orientation (MO) as a mediator and online toxicity (OT) as a moderator. Digital trace data from 400 active consumers comprising 20,134 comments across three platforms (YouTube, Reddit, and X/Twitter) over the period January 2023–December 2025 were analyzed using SEM-PLS (SmartPLS). Results indicate that DSS does not significantly affect EWB either directly or through MO. The moderating effect of online toxicity is also non-significant. These findings suggest that social support within fast fashion consumption spaces does not automatically translate into meaningful psychological well-being. This study contributes by identifying a boundary condition in the digital social support and well-being literature within commercial contexts.

From Regret to Growth: Post-Purchase Dissonance Meaning Reconstruction, and Eudaimonic Well-Being in Digital Education Service Consumption Nurpratama, Mohamad Reza; Gaffar, Vanessa; Widjajanta, Bambang; Lisnawati, Lisnawati; Irawan, Rini Larasati
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

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.

From Regret to Growth: Post-Purchase Dissonance Meaning Reconstruction, and Eudaimonic Well-Being in Digital Education Service Consumption Nurpratama, Mohamad Reza; Gaffar, Vanessa; Widjajanta, Bambang; Lisnawati, Lisnawati; Irawan, Rini Larasati
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

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.

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