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These elements are operationalized as antecedent variables (attitude, buying impulse, subjective norms, self-efficacy, PBC, Compatibility and PIIT) that can influence online purchase intention and consequently online purchase behavior both in a developed and in an emerging economy.
This review develops a conceptual framework that clarifies the aspects influencing online purchase intention by analysing pertinent data. The variables under investigation encompass usefulness, ease of use, congruence, trust, security, e-WOM and many other demographics and contextual factors.
Therefore, understanding online shopping behavior is a critical issue for managers of e-commerce sites to target, attract, and retain consumers.
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.
The high effect of purchase intention towards online shopping behavior was consistent with previous studies (He et al., 2009; Orapin, 2009; Pavlou and Fygenson, 2006; Roca et al., 2009) that the intention was a salient predictor of actual behavior to shop online.
Over the last two decades, motivated by the continuous evolution of the technology-driven retail environment, researchers have studied various aspects of online consumer behaviour. This article attempts to take stock of this environment to critically assess the research gaps in the domain and provide future research directions.
This research work attempts to understand consumer purchase behavior on online channels and link it with their intention to actually purchase on e-commerce websites. A new, improved model was proposed to predict the purchasing intention of the users on e-commerce websites.
The aim of this research is to assess the main theories about consumer behavior/making decision from the social psychology perspective, to understand the intention to adopt electronic channel and, in this way, to determine the precursors of online purchase.
In this study, we fill this research gap by examining the explanatory power of the think-feel-do hierarchy versus the feel-think-do hierarchy in predicting online purchase intentions towards search versus experience products and high involvement versus low involvement products.
Abstract. This study focuses on predicting the online purchase intention of consumers purchasing from e-commerce platforms using an integrated model of the theory of planned behavior (TPB) and extended technology acceptance model (TAM).