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People increasingly depend on the consumer experiences of a virtual community when making purchasing decisions. Potential consumers search for different types of electronic word of mouth when choosing a product to purchase. Social shopping has numerous advantages including community-based interaction and the sharing of consumer experiences; however, few studies have focused on measuring the effects of social shopping. This study established a conceptual framework for measuring the effects of social shopping activities, comprising the key elements of (1) the perceptions of social shopping activities, (2) collective intelligence and dissonance, and (3) the consequences of social shopping. This study collected 836 valid Internet user responses to an online survey. Partial least squares regression was used to analyze the relationship between the elements and to measure the effects in different social shopping stimuli.
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Chiang et al. (2021) studied this question.
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