PENGARUH TRUST IN A BRAND DANPERCEIVED VALUE TERHADAP BRAND LOYALTY PONSEL BLACKBERRY
Bibliographic record
Abstract
BlackBerry is a mobile phone made in Canada. BlackBerry was first introduced in 1999, and is presented in Indonesia in mid-December 2004. Since it was first introduced, the BlackBerrywas much in demand by various groups with the support of various mobile operators both CDMA and GSM. However, in these days it has decreased significantly. Most users at the end of 2012 as much as 79 million active use of BlackBerry mobile phones are recorded. But at the end of March 2013it decreased as much as 3 million users and it decreased up to 4 million users at the end of June 2013 who no longer use BlackBerry mobile phone. The final user of BlackBerry mobile phones is 72 million. The purpose of this study was to analyze the effect of brand characteristics, company characteristics, brand characteristics,and the consumer - perceived benefits to the consumer brand loyalty on BlackBerry mobile phones in STIE TOTALWIN Semarang. The population in this study were students STIE TOTALWIN Semarang. Based on Slovin formula, the sample size was 100 respondents that were obtained by purposive sampling technique, i.e. students who use BlackBerry phones, at least one month and have experience in using another mobile phone. Primary data was collected through questionnaires and analyzed with multiple linear regression analysis.The results showed that the Brand Characteristics, Company Characteristics, Consumer-Brand Characteristics and Perceived value has significant and positive effect on Brand Loyalty, both partially and simultaneously. Company Characteristics became the biggest factors influencing brand loyalty.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".