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Purpose The purpose of this study is to identify the impact of ethical judgements, depending on religiosity level of consumers, on decisions of buying or not buying products from supermarkets selling alcoholic beverages. Design/methodology/approach The scope of this study covers consumers from province of Mus in Turkey who indicate they go shopping at supermarkets. Accordingly, data are collected from 362 consumers via face-to-face survey and the results are evaluated through regression analysis. Findings According to analysis, it was found that the internal and external religiosity of the consumers positively affected their ethical judgement towards the markets selling alcoholic beverages. Besides, it is concluded that the ethical judgements of consumers have a positive impact on boycott decisions against supermarkets selling alcoholic beverages. Originality/value The survey contributes to relevant literature by putting forth the impact of ethical judgements of consumers, associated with their level of religiosity, on their decisions as to preference of supermarkets. Moreover, this study is consistent with the previous studies and supports the conclusion that the ethical decisions are affected by the extrinsic and intrinsic levels of religiosity; however, they are more affected by the intrinsic levels of religiosity.

Due to the impact of the COVID-19 pandemic, on-demand grocery delivery service that combines mobile technology and city logistics has gained tremendous popularity among grocery shoppers as a substitute to self-service grocery shopping in the store. This paper proposes an intelligent comparative approach where fuzzy logic and the analytical hierarchy process (AHP) method are combined to determine the importance weights of the criteria for marketing mix elements (7Ps) of the on-demand grocery delivery service for the period before COVID-19 and during COVID-19. In addition to its comprehensive theoretical insight, this paper provides a practical contribution to decision makers who create a marketing mix for the on-demand grocery delivery service and other similar online grocery businesses in terms of efficient allocation of resources to the development of marketing mix elements. The study’s findings can also provide clues for the decision makers in times of similar pandemics and crises that are likely to be seen in the future.

Purpose The study aims to examine the consumers’ attitudes toward halal food products based on tripartite model. Regarding this, the effect of halal food awareness, perceived risk and behavioral tendency on attitudes toward halal food products are investigated. Design/methodology/approach 343 valid questionnaires were obtained. Exploratory and confirmatory factor analyses were performed to ensure content validity, and structural equation modeling was progressed to test the relationships among variables through IBM SPSS Statistics 22.0 and AMOS 23.0 software. Findings Research validates the tripartite model of attitude and suggests attitude toward halal food is formed by predominantly behavioral tendency and partially psychological drivers, rather than cognitive elements. Research limitations/implications The characteristics of participants should be different and larger sample may provide some other results. The product or service context should be different, for example, halal cosmetic, halal hygienic, halal tourism. Practical implications Trigger messages may put forward in marketing communications activity for halal food products marketing and halal certificated food brands need to establish their distribution networks effectively to get closer with consumers. Originality/value Attitudes towards halal products represent the key driver of consumer behavior for the development of marketing strategies in certified halal firms addressing both domestic and foreign markets. It is the first study examining Turkish consumer attitudes toward halal food product using tripartite model in the field of halal consumption behavior. The paper offers a different methodological framework and it could be potentially of interest for scholars, marketers and policy makers.

The purpose of this study is to investigate the factors affecting the acceptance and use of the APTS by its potential users. To achieve this, an integrated and expanded user acceptance model is introduced to explain the factors affecting the Behavioral Intention to use the APTS. A total of 316 surveys were conducted, from 275 participants by online surveys and 41 participants by face to face interviews. With the data that are acquired from Public Transportation (PT) users in Istanbul, the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) Model is modified and Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, Habit, Trust and Safety, Perceived Usefulness, Perceived Risk and Behavioral Intention constructs are utilized in the model. Age, gender and frequency of PT usage are included in the model to examine the moderating effect on the constructs while the model is tested with Structural Equation Modeling (SEM). The proposed model explains the 72 % of variances in this study which proves that the model has stronger predictive power compared with the previous Technology Acceptance Model (TAM) and UTAUT models. Performance Expectancy, Social Influence, Habit, and Trust and Safety constructs are concluded to have significant positive effects on Behavioral Intention. Public usage and acceptance are necessary for the complete utilization of APTS. The findings of these studies are hoped to guide the decision-makers of the PT industry to understand the factors affecting the use and acceptance of APTS and take the actions accordingly.