The Extended S-O-R Model Investigating Consumer Impulse Buying Behavior in Online Shopping: A Meta-Analysis

Purpose: The online distribution channel has attracted the attention of retailers by potential impact on consumers’ purchase intention. The objectives of this study are to provide an insight into how to encourage consumers' impulse buying behavior on commercial website as well as attempts to re...

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Veröffentlicht in:Journal of distribution science 2022, 20(2), 145, pp.1-9
Hauptverfasser: Trang Quang LE, Wann-Yih WU, Ying-Kai LIAO, Thuy Thi Thu PHUNG
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Sprache:eng
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Zusammenfassung:Purpose: The online distribution channel has attracted the attention of retailers by potential impact on consumers’ purchase intention. The objectives of this study are to provide an insight into how to encourage consumers' impulse buying behavior on commercial website as well as attempts to reveal factors that influence consumers' impulsive buying behavior in the online shopping environment. Research design, data and methodology: The research framework is based on the stimulus-organism-response (S-O-R) framework. The Metaanalysis method carried out the research, gathering data from 37 published studies. Results: The research findings suggest that intrinsic motivations such as perceived ease of use, perceived enjoyment, and online flow experience play a significant role in boosting consumers' hedonic value when buying and online. In addition, these findings help online retailers use appropriate marketing stimuli such as offering pricing incentives, promotion tactics, and improved communication effectiveness. Also, obtaining a better grasp of how to build a website to improve the consumer experience generally helps consumers feel the urge to buy impulsively and act without hesitation. Conclusions: This research confirms a direct positive relationship between marketing stimuli and hedonic shopping value, which may support an applied theoretical framework for future research and provide managerial implications for retailers in online distribution channels. KCI Citation Count: 0
ISSN:1738-3110
2093-7717
DOI:10.15722/jds.20.02.202202.1