A Hidden Gem in the World of Natural Syrup Market
Bibliographic record
Abstract
Background: Understanding consumer’s preferences in the development and marketing of date syrup is crucial for developing its global market. Limited studies have attempted to understand the issues related to consumer’s preferences for date syrup, even though such understandings are essentials for its effective marketing as a promising alternative natural syrup. The present study was therefore conducted to investigate the sensory properties, purchase attributes, and usages of date-syrup among the consumers in Pakistan. Design, Methodology, and Approach: A total of 135 consumers, comprising students, faculty, and staff from three different universities in Pakistan, participated in this study. The study questionnaire included sensory tests, rank order of brands tests, and rating of purchase-related attribute tests to evaluate the consumer preferences for date-syrup. Findings and Implications: The results showed that consumers prefer a great taste, least sweet, least thick, smoothest, most soluble, medium dark in color, and mouthfeel date syrup. Additionally, a reasonable price, good packaging, and no added sugar were the purchase-important attributes of date syrup. The purchase attributes did not differ across varying demographics. These findings indicate that the enterprises striving to promote date syrup as an alternative sweetener should pay greater attention to customer-preferred sensory properties, usages, and purchase-related attributes. Conclusion: This is the first study that evaluated the consumer’s preferences for date syrup in Pakistan. The results suggest that consumers prefer the great taste, smoothness, reasonable price, good packaging, and no added sugar as purchase-important attributes for date syrup. Therefore, enterprises promoting the use of date syrup as an alternate sweetener must concentrate on these aspects for its effective marketing.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".