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2023
DOI: 10.3389/fpubh.2022.1005265
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Driving mechanism of consumer migration behavior under the COVID-19 pandemic

Abstract: IntroductionChina is now in the post-period of COVID-19 epidemic prevention and control. While facing normalized epidemic prevention and control, consumers behavioral intention and decision-making will still be influenced by the epidemic's development and the implementation of specific epidemic prevention measures in the medium to long term. With the impact of external epidemic prevention environment and measures, consumers' channel behavior has changed. How to better promote channel integration by adopting co… Show more

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Cited by 6 publications
(6 citation statements)
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“…As shown in Figure 3(d), when α 12 − β 12 > 1 and α 21 − β 21 > 1, M 3 is the saddle point and there is no stable point of competition between them [21][22][23].…”
Section: Stability Analysis Of Competing Synergistic Evolutionmentioning
confidence: 98%
See 1 more Smart Citation
“…As shown in Figure 3(d), when α 12 − β 12 > 1 and α 21 − β 21 > 1, M 3 is the saddle point and there is no stable point of competition between them [21][22][23].…”
Section: Stability Analysis Of Competing Synergistic Evolutionmentioning
confidence: 98%
“…In order to visualize the development trend of urban online taxis and taxis under different relationships, data simulation analysis was carried out using Matlab simulation software, and the model parameters were used to determine the initial scale with the number of online taxis and taxis in Xi'an in 2020. respectively X 10 = 2.5 , X 20 = 1.5 Other parameters are assumed to be γ 1 = 0.3, γ 2 = 0.2, N 1 = 3.5, N 2 = 2.5 [21]. With these parameters set constant, the evolution of the competitive synergy between net cars and taxis varies with the change of the competitive influence coefficient.…”
Section: Simulation Analysis Of Competitive Co-evolutionmentioning
confidence: 99%
“…Some literature uses multi-agent-based genetic algorithms to study the probabilistic economic scheduling problem of multi-energy power flow systems in the optimal scheduling system of cogeneration [15]. The scenario method is another method to describe multiple uncertain factors in the optimal scheduling system of cogeneration [16]. In addition, stochastic optimization based on chance constraints is also an uncertain optimization algorithm that is often used.…”
Section: Related Workmentioning
confidence: 99%
“…As illustrated in Figure 2, the current study delved deep into the diverse customer intentions associated with channel usage and adoption, shedding light on underlying mediators and moderators. Channel migration intention emerged as a focal point, where customer perceived value of a particular channel assumed a mediating role, while the costs associated with switching channels act as a moderator (Wang et al, 2023). Continuous use intention is also mediated by emotional and functional value, as well as attitude, with product involvement moderating the relationship (Geng & Chang, 2022;Lee & Kim, 2021).…”
Section: Oc Adoptionmentioning
confidence: 99%