竞争环境下营销活动组织的系统分析

E. Gumerov, E. Jukova
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引用次数: 0

摘要

工业物联网正在不可逆转地改变着经济。工业物联网的高速大数据流带来的新战略机遇正在改变行业边界,为包括营销在内的新战略决策创造机会。工业物联网技术在市场营销中的应用令人感兴趣。连接到互联网并由其自身智能系统控制的设备和程序的持续交互使营销系统能够自动管理营销过程的有效性,增加系统的稳定性,警告可能来自互联网的威胁或系统的新机会。本文的目的是通过系统分析其子系统之间的正向协同互动,确定子系统的反馈,增加系统的功能,从而完善企业营销的IIoT系统。在组织营销活动的系统中,工业物联网的分布式设备和业务对象之间进行密集的信息交换,每个子系统根据其能力独立管理自己的区域,这些子系统之间的交互产生协同效应。在工作过程中,解决了信息技术子系统、智能子系统、网络营销子系统和信息安全子系统对营销有效性贡献的研究任务。采用经典系统分析作为研究方法。本工作的科学新颖之处在于系统分析了基于工业物联网的营销有效性。市场营销最有效的条件是确定的。本文的现实意义在于提出了基于工业物联网的有效营销体系的发展基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic Analysis of the Organization of Marketing Activities in a Competitive Environment
The Industrial Internet of Things is irreversibly transforming the economy. New strategic opportunities derived from the high-speed streams of Big Data of the Industrial Internet of Things are changing the boundaries of industries, creating opportunities for new strategic decisions, including in marketing. The use of Industrial Internet of Things technologies in marketing is of interest. The continuous interaction of devices and programs connected to the Internet and controlled by their own intelligent systems gives the marketing system the ability to automatically manage the effectiveness of marketing processes, increases the stability of the system, warns of possible threats from the Internet or new opportunities for the system. The purpose of the article is to improve the IIoT system of enterprise marketing through a systematic analysis of the positive synergistic interactions of its subsystems, determine the feedback of subsystems, and increase the functionality of the system. In the system of organizing marketing activities, a synergistic effect arises from the interaction of subsystems associated with intensive information exchange between distributed devices and business objects of the Industrial Internet of Things, each of which independently manages its own area, determined by its competencies. In the process of work, the tasks of studying the contribution to the effectiveness of marketing of functional subsystems were solved: information technology, intellectual, Internet marketing and information security subsystem. Classical system analysis was used as a research method. The scientific novelty of the work lies in a systematic analysis of the effectiveness of marketing based on the Industrial Internet of Things. The conditions under which marketing is most effective are determined. The practical significance of the work lies in the fact that the basis for the development of an effective marketing system based on the Industrial Internet of Things is proposed.
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