The Characterization of the Millennials and Their Buying Behavior
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
The millennials constitute an important group of consumers. Therefore, to know how they behave has become an important issue. This paper aims to explain who the millennials are, to explain who belongs to this generational group and why they have become an attractive group for different social and economic sectors, by showing the most outstanding attitudes, tastes and buying behaviors.This is a qualitative and transactional research based on the review of various scientific articles retrieved from specialized journals which have helped to establish a characterization of the most prominent elements that describe the millennials, based on some points of coincidence described by different authors. The findings suggest that millennials are a highly attractive market as they have grown up in an environment where technology provides a platform for personalization and immediate gratification in all aspects of life. Consequently, the buying process for them is a time of enjoyment, where loyalty to the brands they purchase is relative. Also, millennials tend to spend their income quickly and more often through the web, and particularly through social networks like Facebook. Also, the results show that the millennials are more attracted by virtual advertising as coupons or discounts. The results contribute to the literature by providing a description of millennial consumers; showing in detailed the importance of this market segment and their buying behaviors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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