The Study of Nostalgia-Oriented Strategy Aimed at Millennials on The Example of The Lego Group
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
Abstract Objective: The purpose of this paper was to examine the effect that nostalgia-oriented strategy has on the Millennials’ perception of the LEGO brand. Methodology: The methodology was based on past research in the field and used a modified version of a questionnaire developed by Pascal et al. (2002). Findings: The research was conducted among 203 young respondents in the second quarter of 2019. During the realization of research, the indirect method of gathering information, using a survey technique was applied. The survey was conducted with the application of the techniques of electronic survey. The research methodology was based on past research in the field and a modified version of a questionnaire developed by Pascal et al. (2002) was used. Value Added: This paper is the first to have found that companies operating in the toy industry are using nostalgia with aim of sustaining the brand loyalty. Recommendations: The toy industry has become pretty much an unfair place to do business these days, as the biggest toymakers are involved in a fierce fight for the next generations of kids enamoured with the latest high-tech wonders. This paper demonstrates how LEGO ® ’s efforts reaped dividends as they have begun to address Millennials. It can be said, then, that the future of marketing in the following months would involve nostalgia as a major tool accelerating all the strategic endeavours in this clash of brands as the trend described hereinafter does not seem to slow down.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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