2019
DOI: 10.3390/su11174630
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Better Earlier than Longer: First-Mover Advantage in Social Commerce Product Information Competition

Abstract: Social commerce (SC) is a rapidly emerging branch of e-commerce. Effective information spread is the critical element in increasing the sales volume in this industry. However, few studies have explored the underlying mechanism and corresponding winning strategies from the perspective of information spread. This research fills the gap by using a simulation method. Combined with the Engel–Kollat–Blackwell (EKB) theory, we improved the Susceptible–Infected–Recovered (SIR) epidemic dissemination dynamic model to s… Show more

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Cited by 6 publications
(7 citation statements)
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“…The first-mover advantage of product diffusion and the resulting path dependence and even lock-in effects are often mentioned in the platform diffusion and competition literature [53,54]. Under the indirect network effect, the two main factors that may lead to a first-mover advantage are the number of users and the number of complementary products that can be used in the initial stage, but as we show above, these two factors impact the diffusion process through different mechanisms.…”
Section: First-mover Advantage-the Number Of Users and Available Comp...mentioning
confidence: 77%
“…The first-mover advantage of product diffusion and the resulting path dependence and even lock-in effects are often mentioned in the platform diffusion and competition literature [53,54]. Under the indirect network effect, the two main factors that may lead to a first-mover advantage are the number of users and the number of complementary products that can be used in the initial stage, but as we show above, these two factors impact the diffusion process through different mechanisms.…”
Section: First-mover Advantage-the Number Of Users and Available Comp...mentioning
confidence: 77%
“…This is also consistent with previous studies from other fields. Li & Zhao (2019) proposed that due to the importance of attention, it is more effective to release the product message earlier [90]. However, these findings are different from Howard and Sheth's buying process stages.…”
Section: Conclusion and Discussionmentioning
confidence: 97%
“…erefore, we build a model using information diffusion theory [17] and integrate user interaction as the key factor.…”
Section: Introductionmentioning
confidence: 99%