The Influence of Consumer Behavior on Consumer Purchase of Fashion Products(Case Study of Generation Z in Bali)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Indonesia, in terms of population, Generation Z is the largest. The number reached 72.8 million (27 percent) of Indonesia's 267 million population in 2019, and the results of Lokadata.id's processing of the 2019 National Socio-Economic Survey (Susenas) revealed that of the 47 million millennial internet users, as many as 17 percent or around 7.8 million of them like shopping online, whether it's buying goods or services. With approximately 4.7 hours per day to access the internet, the activity for conducting online-based transactions has also increased. In essence, various past and present factors influence consumers. Future decisions will be influenced by current behavior. If a consumer is satisfied with the product he bought, then he tends to buy it again. But if you are not satisfied with a certain brand product. Consumer behavior can be influenced by several factors such as social factors, personal factors, and psychological factors. Tokopedia is an Indonesian E-commerce company with a mission to achieve economic equality digitally. Since its founding in 2009, Tokopedia has been a pioneer in digital transformation in the country. Quoted from IPrice, Tokopedia remains the most visited E-commerce in the 3rd quarter of 2021. The purpose of this study is to determine consumer behavior towards purchasing decisions for fashion at Tokopedia. The research method used is linear regression test using SPSS. The result of this study is that consumer behavior has a significant effect on purchasing decisions for fashion products at Tokopedia.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it