The impact of Islamic beliefs on consumers’ attitudes and purchase intentions of life insurance
Bibliographic record
Abstract
Purpose – The purpose of this paper is to investigate the role of Islamic beliefs in moderating consumers’ attitudes and purchase intentions of conventional and Islamic life insurance. Second, it investigates the role of Islamic beliefs in moderating the relationship between the attitude toward conventional/Islamic life insurance and purchase intentions of these types of services. Design/methodology/approach – A questionnaire was administered online in a Muslim liberal country where both types of insurance are offered. Based on a total sample of 207 responses, ANOVA tests and a structural Equation Modeling were used to test the research hypotheses. Findings – Results show that: the higher (lower) the Islamic beliefs of individuals, the less (more) favorable their attitude will be toward conventional life insurance and the more (less) favorable their attitude will be toward Islamic life insurance; the higher (lower) the Islamic beliefs of individuals, the weaker (stronger) their purchase intentions for conventional life insurance will be and the stronger (weaker) their purchase intentions for Islamic life insurance will be; and Islamic beliefs moderate the relationships between attitudes and purchase intentions of life insurance. Practical implications – Because they play a significant role in moderating consumers’ attitudes and purchase intentions of conventional and Islamic life insurance, Islamic beliefs can be used as a meaningful criterion to segment the life insurance markets in (less conservative) Muslim countries. This would help insurance companies to better target their services. In a case where two segments coexist (i.e. individuals scoring low on Islamic beliefs vs individuals scoring high on Islamic beliefs), insurers should weigh different strategic options by targeting one of the two segments or both of them. Perhaps the main issue occurs when an insurer attempts to target both segments. In this case, managers should be aware of the confusion that they might create in the mind of their clients (or potential clients). Concurrently offering two types of life insurance (conventional and Islamic) may put the insurers’ credibility at stake. Originality/value – Earlier studies report that in Muslim countries, the demand for life insurance is weak or negatively correlated with religion. The majority of these studies consider religion as a macro indicator (i.e. at the country level) when explaining the demand for such services. The present study further clarifies the nature of the relationship between religion and the demand for life insurance by: examining the role of Islamic beliefs (as one of the main dimensions of Muslims’ religiosity) at the micro level (i.e. at the consumer level); and investigating the moderating role of Islamic beliefs in explaining attitudes and purchase intentions of conventional and Islamic life insurance in a less conservative Muslim country.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".