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This study investigates the factors affecting the usage behavior and intention towards online purchasing platforms in purchasing agriculture and fisheries products online based on the technology acceptance model. External factors adapted from current literature were integrated with the model to understand the consumer intention and behavior towards online purchasing. An online survey with 318 respondents was used to test the hypotheses of the theoretical model using partial least squares component-based structural equation modeling. Results show that trust is a significant predictor of usage behavior. Furthermore, the factors visibility, perceived risk, perceived value, and enjoyment have directly or indirectly influenced intention and usage behavior through trust, perceived ease of use, and perceived usefulness. The researcher considers this work to have contributed essential inputs to other researchers interested in studying the adoption of online purchasing in fisheries and agriculture products.

Poverty alleviation by consumption is a powerful way to help the poor people get rid of poverty, which plays a significant role in China's rural revitalization. However, the achievement of poverty alleviation by consumption mostly depends on government procurement, and the enthusiasm of customers to participate is low, facing the severe challenge of poor sustainability. Helping the poor is the most common motivation for customers to buy poverty-alleviation agricultural products (PAAP). However, as the negative events of poverty alleviation such as "tragic marketing" constantly appear in news reports, customers' trust in sellers has been seriously damaged. The psychological protection system for fear of being cheated hinders customers' purchase intention. Therefore, we believed that trust is an important factor in enhancing customers' purchase intention of PAAP. Customers buy PAAP mainly through online channels, and institution-based trust is the most important way to generate trust in online channels. Thus, this study investigated the institutional mechanisms that affect customers' trust in the sellers of PAAP and discussed the influence of trust on the online purchase intention of PAAP. Data were obtained through a questionnaire survey and tested empirically. The results showed that the effectiveness of the user feedback mechanism, platform supervision mechanism, product traceability mechanism, and product certification mechanism can enhance customers' purchase intention by enhancing their trust. Individual trust tendency positively regulated the relationship between the effectiveness of institutional mechanisms and consumer trust. The conclusion can not only provide new theoretical guidance for the practice of poverty alleviation by consumption in China but also offer new ideas for the poverty alleviation undertakings in other countries.

PurposeThe purpose of this paper is to model the development of e‐purchasing behavior by examining the simultaneous effects of information, web interactivity, satisfaction and positive attitude (PA) on purchase intentions (PIs).Design/methodology/approachDevelopment and testing of four competing models from surveys of 402 consumers.FindingsThe results highlight the appropriateness of the multiple mediation model (MMM). The findings also indicate that both the dual mediating role of PA and the simple mediating role of positive emotional bond (PEB) in the model significantly improve the explanation of e‐purchasing model process. Particularly, path coefficients for two groups (male vs female) are significantly different. Female consumers have a tendency to accept valuable information and to participate in interactivity.Originality/valueIn this study, Armstrong et al.'s notion is adopted to show that the role of the scientist is changed from advocating a single hypothesis to evaluating a number of competing models. The current research attempts to empirically test competing mechanisms of the variables and their affects on PI.

Purpose
The purpose of this paper is to examine online purchase behaviours amongst young consumers in Australia and the USA. It also aims to develop and test a theoretical framework of young consumers' online purchase behaviour.


Design/methodology/approach
Data were collected through online surveys targeting young online shoppers in Australia and the USA. A multi-group structural equation modelling was used to test the proposed structural model and hypotheses.


Findings
The model shows a good fit with the data. Young consumers in Australia and the USA have positive attitude towards online shopping that significantly affects their online purchase intentions. Social motive negatively impacts online purchase intentions in the Australian sample. Escapism and value motives positively affect Australian and American young shoppers' online purchase intentions. Young consumers in Australia and the USA are very familiar with the online shopping process. The familiarity strongly triggers their information search behaviour that leads to online purchase intentions.


Practical implications
The results of this paper assist the marketers and policy makers to target and appeal to this young segment, based on their unique motivations, values and characteristics.


Originality/value
Using the generational cohort theory, this paper contributes to the extant literature by providing insights on the Australian and American young generation's unique values and characteristics that influence their online purchase behaviours. This research also contributes insights for the marketers and policy makers to improve their marketing efforts and services and appeal to this young segment, based on their unique values and characteristics.

AbstractCustomer satisfaction for online purchase and its subsequent influence on customer trust is a pivotal in the proliferation of online businesses that in turn can foster global and national economic growth. The significance of understanding perceived value in the context of online shopping is as important as is in the context of traditional shopping. Quantitative data were collected from customers, who have online shopping experience. The analysis, carried out using structural equation modeling, suggests that customers' perceived acquisition value has a significant impact over their satisfaction which affects their trust with regard to an online retailer.