Customers’ Expectation towards Online Marketing: A Study on Some Economic Zone in Bangladesh
Bibliographic record
Abstract
This paper attempts to analysis the customers’ expectation towards online marketing in Bangladesh. First, it evaluates the impact of independent variables (factors of online marketing) on dependent variable (customers’ satisfaction). In order to do so a survey was conducted through questionnaire and data collected from 200 respondents’. Samples (Individuals and corporate firms) were selected from three economic zones and multiple regression analysis was conducted for the study. It also evaluates customers’ expectation from online marketers. Moreover the study highlights the online marketing strategies. Next, the study focuses on the benefits from online marketing. It also identifies the problems and challenges to develop online marketing strategies. Online marketing opens huge opportunities for marketer and customer where the ratio of benefit is higher than the ratio of costs. Finally, the study provides specific ways to solve the problems emphasizing on online marketing principles and to avail the opportunity to cope with the today’s competitive market. The strategies require continuous improvement and it is expected to be more dynamic in future.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".