Purpose The purpose of this paper is to examine the impact of key antecedents of unified theory of acceptance and use of technology model 2 on behavioral intention to accept and use mobile payment systems in National Capital Region, India. Design/methodology/approach A sample of 267 mobile payment system users in National Capital Region was obtained through an online survey. A partial least squares method was used to find out whether key antecedents of UTAUT2 predict behavioral intention to accept mobile payment systems which further predicts use behavior toward mobile payment systems. Findings The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention. Research limitations/implications The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention. Originality/value The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention.

Purpose The purpose of this paper is to investigate the role of perceived benefits, namely, price, convenience and product variety in formation of online shopping attitude. The paper also studies the impact of online shopping attitude on online shopping intentions by the application of the theory of reasoned action. Design/methodology/approach A self-administered and structured online survey was conducted targeting female online shoppers of four metropolitan cities of India. A sample of 508 online shoppers was considered in the online survey. Confirmatory factor analysis was used to evaluate the research constructs, validity and composite reliability. Structural equation modeling and path analysis was also used to examine the hypothesized relationships of the research model. Findings The authors of the paper reveals that price benefit, convenience benefit and product variety benefit has a significant positive impact on online shopping attitude and there is a considerable positive relationship between online shopping attitude and online shopping intention among women in India. Product variety was found to be the most important perceived benefit for Indian women. Research limitations/implications The research sample included only women shoppers who indulge in online shopping. Future research is encouraged to emphasize on other groups and gender to identify with their online shopping attitudes. Another important limitation of the study is consequent from the geographical perspective of the present study; that is India. The findings are not necessarily applicable to the rest of the world. Therefore, reproduction of the current study in diverse countries would probably support and confirm its findings. Also, the present study is cross-sectional which does not demonstrate how attitudes of online shoppers may alter over time. The authors of the current study encourage future research to apply a longitudinal design to the study to understand the transforms in consumers’ attitudes toward online shopping over time. Finally, this study explained a general phenomenon, thus future research can be directed toward particular websites which may present different results. Practical implications The study supports the significance of perceived benefits (price, convenience and variety) as key drivers of attitudes toward online shopping among women in India. Marketers should distinguish the way they indulge their customers based on their perceived benefits of online shopping. In developing countries like India, where consumers, especially women, are generally depicted as risk averse, online shopping attitude plays an important role in the success of e-tailers. Certainly, if online shopping would not attach meaningful value and benefits to consumers, they would have negative attitude toward the same. Additionally, the empirical research study demonstrates variety to be the most important benefit for Indian women; ecommerce retailers should focus on maximizing the same to enhance online purchase intention among women customers. Women empowerment being the agenda in India currently, online retailers’ managers can benefit from such conclusions for targeting this huge untapped market and for future e-marketing policies. Originality/value This research paper is one of the very few endeavors that investigated online shopping attitudes in India. Prominently, it exposed the role of perceived benefits in online shopping attitude in India. Price is one of the most critical factor concerning Indian shoppers which is a part of the present study. National and international e-tailers preparing to develop and expand their operations to India have now important empirical verification concerned with the determinants of online shopping attitudes and behavior in India which shall aid in marketing strategy development and implementation.

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The objective of this research study is to examine the key components of perceived risk (security risk, privacy risk, product risk and non delivery risk) in ecommerce and the impact of perceived risk on online shopping attitude among online women shoppers in India. It proposes a model explaining how perceived risk in online shopping impacts attitude and what is the impact of online shopping attitude on online shopping intention. Sample size of 508 women shoppers was considered in the study and the technique of Structural equation modelling was employed. An online questionnaire was administered at internet users who had prior online shopping experience. Confirmatory factor analysis was used to evaluate the research constructs, validity and composite reliability. The results of the study demonstrate that perceived risk is not a significant factor influencing attitude of women shoppers in India. Security risk was marginally significant out of the different types of risks considered in the study.