Analysing the critical factors influencing consumers' knowledge sharing intention in online communities and its impact on consumer product involvement, product knowledge and purchase intention

Dewi, Made Ayu Aristyana; Annisa, Nadia Nur; Kareen, Pamela; Edwita, Anissa; Sensuse, Dana Indra

doi:10.1109/icacsis.2017.8355026

Cited by 1 publication

(1 citation statement)

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“…From the perspective of research methods, most existing studies have considered the promotion effect of innovative products by selecting a single variable of user information behavior, such as comments' sentiment polarity [14], users share for [15][16][17], or mobile social network use time [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

The Influence of the Network Evolutionary Game Model of User Information Behavior on Enterprise Innovation Product Promotion Based on Mobile Social Network Marketing Perspective

Liu

Guo

et al. 2022

Mathematical Problems in Engineering

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User information behavior is an important factor affecting the promotion effect of enterprises’ innovative products on mobile social networks. To provide insights as to how enterprises can better promote innovative products, this paper conducts a quantitative study of its internal function. We introduce a network evolutionary game model based on the Bass model, first to describe the background of the mobile social network, then to simulate the diffusion process of the social network and the user’s decision-making game behavior during promotion of enterprises’ innovative products, and finally to simulate the promotion effect on innovative products and solve for the conditions for the best innovative product marketing effect and the model are simulated from multiple angles. Our simulation results show that mobile social network marketing in the initial stage of product promotion has a significant impact on the promotion effect of innovative products. When user feedback is poor, advertisement diffusion has an obvious effect on product promotion. In mobile social networks, the proportion of positive feedback from users has a greater impact on the product promotion effect, while the proportion of negative feedback has a smaller impact on the product promotion effect. The impact of negative reviews is time sensitive. According to the simulation results, we propose several suggestions to improve the promotion effect of enterprises’ innovative products on mobile social networks.

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