基于生命周期理论的互联网环境下炒作货币化方法论

E. Konnikov, O. Konnikova
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引用次数: 1

摘要

本文致力于研究炒作现象作为数字环境下传播空间的一种新趋势及其货币化的可能方法。通过对参考文献的分析,可以确定炒作的基本属性,其中包括传播速度,表示为主要搜索引擎的查询数量与时间之间的依赖程度;炒作项目生命周期短,没有突出的“成熟”阶段,非专业媒体对炒作现象的范围和覆盖面较广。由于每一个炒作事件或现象都有一个明显的兴趣增长期和兴趣衰退期,炒作研究可以帮助公司量化潜在目标受众的兴趣,并据此做出管理决策。本文的主要研究问题是:企业如何利用生命周期理论将炒作货币化,快速响应互联网环境中某一特定事件或现象的快速增长。在实证研究结果的基础上,作者提出了一种基于预测整合营销方案潜在收益的炒作货币化方法,该方法是在炒作形成初期与炒作属性相对应的主题语义结构基础上形成的。实证证实了作者的假设,即炒作请求的人气增加函数可以确定其人气降低函数。利用多元回归工具箱,根据炒作请求的增长函数,形成了一个减少炒作请求流行度的函数。炒作货币化的驱动力是流量的增加,这归因于公司在开发营销解决方案时使用炒作事件的相应互联网资源。在形成的早期阶段,将主题语义结构与给定的炒作属性相对应地集成到推广工具中,将允许增加这种流量。作者提出了不平等,在此基础上,可以对实施已开发的营销活动的便利性做出决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodology of Hype Monetization in the Internet Environment According to the Life Cycle Theory
This paper is devoted to studying the phenomenon of hype as a new trend of communication space in the digital environment and possible methodology of its monetization. The analysis of the references has allowed determining the basic properties of hype, among which is the speed of spreading, expressed in the degree dependence between the number of queries in the main search engines and time; a short life cycle of hype projects without a prominent stage of "maturity" and the breadth of scope or coverage of the phenomenon in non-specialized media. Since every hype event or phenomenon is characterized by a distinctive duration of the periods of growth and decline in interest, hype study can help a company to quantify the interest of a potential target audience and make management decisions based on this. The main research question for this paper was formulated as follows: how a business can use the life cycle theory in order to monetize hype, quickly responding to the rapid growth of popularity in the Internet environment of a particular event or phenomenon. Relying on the results of empirical research, the authors proposed a method of hype monetization, based on forecasting the potential benefits from integrating marketing solutions, formed on the basis of thematic semantic constructions corresponding to the properties of hype at the early stages of its formation. The authors' hypothesis that the function of decreasing the popularity of a hype request can be determined on the basis of the function of increasing its popularity was empirically confirmed. Using the multiple regression toolkit, a function of decreasing the popularity of a hype request based on its growth function was formed. The driver of hype monetization is the increase in traffic, which is attributed to the corresponding Internet resources of a company which uses hype events when developing marketing solutions. Integration into the promotion tools of the thematic semantic constructions corresponding to the given properties of hype at the early stages of formation will allow increasing this traffic. The authors propose the inequality, on the basis of which a decision can be made regarding the expediency of implementing the developed marketing activities.
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