Gender: The Moderator Role Between Materialism, Customer Value and Customer Loyality
Bibliographic record
Abstract
This research aims to study relationship between materialism, customer value and customer loyalityand test the role of gender as a moderator variable. The questionnaire-measuring used to investigate the relationship between materialism, customer value, and customer loyalty with a moderating role of gender. The scale consists of five Likert scale. After reviewing the theoretical frame, the researcher suggested the use of modifiable, reliable and valid scales for each variable as well as using SPSS version 20 for statistical analysis purposes. The scale to measure the level of materialism. The study indicates that Saudi youth is moving towards awareness and awareness of the brand and seeks to build a personal identity through their favorite brands. This has been helped by the high level of income as it has appeared more among young people than young women. There is also an increasing trend amongst women towards fashion clothing. More than traditional clothes, ownership has also been achieved for them by creating the great sense of happiness that they feel. Materialism has also been linked, to a great extent, to values, customs and traditions, and this is taken into consideration when moving towards materialism.
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.
How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".