Investigating the structural relationship of mass media on attitude, social influence, product safety and its impact on purchase behaviour of herbal product in Malaysia
Bibliographic record
Abstract
Mass media is a crucial advertising platform and serves as an awareness platform for herbal product businesses. The rising popularity of herbal product consumption is due to the changing of lifestyle and health problems. With the increasing demand for herbal products globally, studies related to the herbal products purchase behaviour are considered very limited. Hence, the current study is written to investigate the structural relationship of mass media on attitude, social influence, product safety and its impact on purchase behaviour of Herbal products in Malaysia. By applying the Attitude-Behaviour Context Theory, this study used several variables, namely mass media toward attitude, social influence, and product safety and purchasing behaviour of herbal products. This study was designed using a quantitative approach through a survey questionnaire. A total of 467 respondents from seven states in Peninsular Malaysia have participated in this study and collected using the intercept survey. The data were analysed using structural equation modelling with a partial least square approach (SEM-PLS) and assisting SmartPLS 3.3.3. The results showed that mass media has a significant positive effect on attitude, social influence and product safety. Also, attitude, social influence and product safety have a significant positive impact on the purchase behaviour of herbal products. In conclusion, this study identified that mass media influence on attitudes is the strongest predictor, followed by the effects of the mass media on social influence. These findings indicated that the mass media play an essential role in influencing attitude, social influence, and product safety. Followed by attitude, social influence, and product safety that significantly impact the purchase behaviour of herbal products. The finding of this study provides insightful information to the entrepreneurs regarding consumers purchase behaviour.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".