论公司战略业务发展计划的监控和更新频率

A. Shupletsov, Maria V. Matveeva, Kirill Burov
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引用次数: 0

摘要

在经济或政治不确定的情况下,战略规划是创业活动成功的一个不可或缺的因素。战略规划比其他类型的商业规划有一个特殊的优势,即它的动态性,当计划草案随着经济环境的变化而调整时。但是,计划调整的启动过程由于需要选择经济过程的重要指标而变得复杂,调整将在这些指标的基础上进行。公司管理团队解决计划更新频率问题的主要工具是使用会计和财务报表指标。这项工作的目的是分析与企业发展战略计划调整有关的管理决策的替代方法。在会计和财务报表的基础上,确定了管理控制系统的主要缺点。作者建议在对经济现实的直观理解的基础上做出管理决策,以及利用神经网络在宏观和微观层面监测经济环境,以便追踪任何偏离特定发展矢量的情况。他们还强调了所建议的工具的主要优点和缺点。因此,直觉管理决策的主要缺点是所提出的应对措施缺乏可验证性;对于人工神经网络而言,其主要缺点是数学装置复杂,并且需要非常耗时的过程才能有效地训练网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Frequency of Monitoring and Updating a Company's Strategic Business Development Plans
Amid economic or political uncertainty, strategic planning is an integral attribute of the success of entrepreneurial activities. Strategic planning has a special advantage over other types of business planning, namely its dynamic nature, when the draft plan is adjusted to the changed conditions of the economic environment. But the launch of the plan adjustment process is complicated by the need to select significant indicators of economic processes, on the basis of which the adjustment will be made. The main tool for the company’s management team to address the question of the frequency of the plan updating is the use of accounting and financial statement indicators. The purpose of the work is to analyze alternative methods of making managerial decisions in relation to the adjustment of strategic plans of the enterprise development. The main disadvantages of the management control system are identified on the basis of accounting and financial statements. The authors suggest such alternatives as making management decisions on the basis of intuitive understanding of the economic reality and the use of neural networks to monitor the economic environment at both the macro and micro levels, in order to trace any deviations from the specified vector of development. They also highlight the main advantages and disadvantages of the proposed tools. Thus, the main disadvantage of the intuitive managerial decision-making is the loss of verifiability of the proposed response measures; as for artificial neural networks, the main disadvantages here are a complex mathematical apparatus and a very time-consuming process needed for the effective network training.
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