Purpose
This study aims to determine direct and indirect ways of strengthening consumer’s halal buying behaviour. For this, the researchers explore the role of religiosity and consumers’ personal norms on consumers’ attitudes and halal buying behaviour. The study also reconnoiters the mediating role of consumer attitudes.
Design/methodology/approach
With a structured questionnaire, a survey was conducted to collect data on consumer attitudes, personal norms and halal buying behaviour. Finally, 229 valid questioners were retained for data analysis. The structural equation modelling technique was used for data analysis using SmartPLS 3.0 software.
Findings
The result of this study suggests that consumers’ attitude towards halal purchase depends on consumers’ personal norms and religiosity. Further, the role of consumer attitudes and religiosity on the halal buying behaviour of consumers is significant. However, the personal norm is not a significant predictor of halal buying behaviour. Consumer attitudes mediate the relationships between personal norms and halal buying behaviour, as well as religiosity and halal buying behaviour.
Research limitations/implications
The findings of the present study indicate that consumers’ personal norms and religiosity are the important determinants of consumer attitude and behaviour towards halal purchase. Marketers of halal products and services should focus on strengthening consumers’ attitudes and religiosity to influence consumer behaviour towards halal purchase.
Originality/value
In light of recent research studies on the halal purchase, the present research finds the essential predictors of consumers’ halal purchase attitude and behaviour. The study also reveals that consumer attitude is an important role in strengthening halal buying behaviour, as it has both direct and indirect impact halal buying behaviour.
All the storms and depressions that formed in the Bay of Bengal during 1974-99 have been analysed. The number of occurrences in July is not in harmony with that of other months of the monsoon. Regions stricken are taken into account on a monthly, seasonal and annual basis. The Indian coast faces almost an equal number of storms and depressions that are formed from June to November. The most vulnerable months for storms are May, October and November for Bangladesh; May for Myanmar; June, August and September for Kolkata-Vishakhapatnam in India and October and November for Vishakhapatnam-Tamilnadu in India. Most of the monsoon depressions cross the Kolkata-Vishakhapatnam coast of India. The frequency of formation has been observed to decrease during the period of analysis. It is also observed that the frequency distribution of the Bay of Bengal storms has two peaks: one in the month of May and the other in the month of November.
In this article, a variety of solitary wave solutions are observed for microtubules (MTs). We approach the problem by treating the solutions as nonlinear RLC transmission lines and then find exact solutions of Nonlinear Evolution Equations (NLEEs) involving parameters of special interest in nanobiosciences and biophysics. We determine hyperbolic, trigonometric, rational and exponential function solutions and obtain soliton-like pulse solutions for these equations. A comparative study against other methods demonstrates the validity of the technique that we developed and demonstrates that our method provides additional solutions. Finally, using suitable parameter values, we plot 2D and 3D graphics of the exact solutions that we observed using our method.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.