Competitive Dynamics between Physical and Virtual Markets in Multiplex Networks

Q2 Social Sciences
L. Diez-Echavarria, Gerardo Gutiérrez-Gutiérrez, Diana Carolina Ríos-Echeverri
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引用次数: 0

Abstract

Despite having interesting results of analyzing the adoption of e-commerce using social networks, diffusion does not occur in a single-layered network. There is sufficient evidence that game theory, complex networks and Theory of Planned Behavior are suitable frameworks to represent some part of the dynamics of innovation diffusion. However, it is necessary to integrate this methodological triplet to accept that an emergent behavior is generated by more real causes. We analyzed the effect of the multiplex topology when people decide to make transactions through virtual or physical channels, and found that connectivity is a key issue when managing the agent’s behavior. This also translates into greater coordination in the agents' decisions. When a multiplex is formed by at least one network with very efficient information flow, this network will govern the dynamics affecting channel selection and will also reduce transaction uncertainty. In addition, we found that investing in connectivity is worthwhile when trust is low in at least one channel; otherwise, it does not have enough impact to increase current transactions. This article makes a significant methodological contribution by showing a new way to analyze the impact of multiplex social networks, as well as a practical contribution by evidencing the effects of the structures on both intentions and actions.
多路网络中物理市场与虚拟市场的竞争动态
尽管在分析使用社交网络的电子商务采用情况时得到了有趣的结果,但扩散并不发生在单层网络中。有足够的证据表明,博弈论、复杂网络和计划行为理论是代表创新扩散动力学部分的合适框架。然而,有必要整合这三种方法,以接受突发行为是由更真实的原因产生的。当人们决定通过虚拟通道或物理通道进行交易时,我们分析了多路拓扑的影响,发现连通性是管理代理行为时的关键问题。这也转化为代理决策的更大协调。当一个多路复用由至少一个信息流非常高效的网络组成时,这个网络将控制影响信道选择的动态,也将减少交易的不确定性。此外,我们发现,当至少一个渠道的信任度较低时,投资连通性是值得的;否则,它对增加当前交易没有足够的影响。本文通过展示一种分析多元社会网络影响的新方法做出了重要的方法论贡献,同时通过证明结构对意图和行动的影响做出了实际贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Periodica Polytechnica, Social and Management Sciences
Periodica Polytechnica, Social and Management Sciences Social Sciences-Social Sciences (all)
CiteScore
1.50
自引率
0.00%
发文量
26
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