Abstract
Abstract User consumption behaviour is a subject worthy of study. Because consumers’ consumption behaviours are dynamic and with individual differences, various factors need to be considered when establishing a fractional differential equation model of users’ online consumption behaviour. The two elements, namely advertising and price are more evident in influencing consumer behaviour. Therefore, the paper establishes a product diffusion fractional differential equation model of price and advertising presence or absence to study the impact of these two factors on consumer behaviour. It turns out that ignoring the advertisement and the cost of the product is related to the characteristics of the consumer network. When there are advertising and price factors, product awareness is related to price constraints.
Highlights
IntroductionConsumers increasingly rely on social networks to buy some products, especially when purchasing some high-tech or experiential products
Partnerships in social networks influence users’ decision-making behaviours
This article considers the dynamics of consumer social networks and the heterogeneity of consumer network structures and studies the proliferation patterns of monopolistic firms’ products
Summary
Consumers increasingly rely on social networks to buy some products, especially when purchasing some high-tech or experiential products. In some social networks such as forums or e-commerce sites, positive or negative word-of-mouth products can affect consumers’ purchasing decisions, especially when negative word-of-mouth has a more significant impact than positive word-of-mouth As a result, consumers may lose their desire to buy and withdraw from consumer social interaction – the internet. This article considers the dynamics of consumer social networks and the heterogeneity of consumer network structures and studies the proliferation patterns of monopolistic firms’ products. The dynamic nature of consumer social networks mainly refers to the continuous entry or exit of potential consumers and the withdrawal of purchasers from the web [2]. We use numerical simulation to verify the correctness of the theoretical analysis
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