The Role of Integrated Marketing Communications in Increasing the Efficiency of Internet-based Marketing among Jordanian Consumers
Bibliographic record
Abstract
Many marketing strategies including and approaches like CRM, mass marketing, PR marketing and IMC have developed for the sake of increasing the demand on the product and elevate the level of customer satisfaction. With the technological development and the entrance of internet marketing there appeared an urgent need to increase the intensity of the marketing strategies in a way that matches the concept of online marketing as distance marketing. From that point, the current study seeks to understand the influence of integrated marketing communication (IMC) on the efficiency of internet-based marketing from the perspective of Jordanian customers. The variables which are employed in the current study are (communicational messaging, direct marketing, online marketing, promotion, mass media marketing and public relations). The sample of the study consisted of (349) customer from malls, commercial complexes and trading center. Through the quantitative approach and utilizing the questionnaire; the results of the study indicated there is a positive influence of IMC on the internet-based marketing within the variables of (communicational messaging, direct marketing, public relations, and mass media marketing) while (promotions and online marketing) seemed to have no influence on the internet-based marketing. The study recommends carrying out a research study that examines the influence of E-IMC on the online marketing practices through social media websites.
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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 | 0.004 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".