企业战略目标的认知分析与选择

IF 0.6 Q4 BUSINESS
R. Karayev
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引用次数: 0

摘要

战略管理最关键和最脆弱的阶段之一是与战略愿景和企业使命转变为战略目标相关的认知阶段。在这一阶段,管理层面临着对正在形成的目标的内容形成协调一致的集体意见的问题,以及对其有效性进行客观评估的问题。这里的困难是由于该阶段的现象学特征,例如转换过程的非正式性质、目标的多标准性质、商业环境的可变性增加所加剧的许多不确定性和风险、语言差异和战略制定者的专业经验差异所造成的认知障碍。这一阶段的这些特征最终导致对目标内容的模糊决定和对其有效性的模糊评估。在这种情况下,传统的支持工具(众多版本的专家方法、头脑风暴、Norton和Kaplan的BSC、SMART技术等)面临着严重的局限性。本文提出了一种认知技术,用于形成一套协调的企业商业目标,该技术在很大程度上考虑了给定阶段的特征。该技术是一个单一的过程,集成了传统支持工具的能力,并基于精神解放模型和非度量多维缩放方法扩展了支持的创造性潜力。对多家企业进行的一项实际研究结果表明,认知技术为目标分析开辟了新的前景。它们可以作为对现有支持工具的有益补充,并有助于设计更有效、更现实的业务战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive analysis and choice of an enterprise’s strategic goals
One of the most crucial and vulnerable stages of strategic management is the cognitive stage associated with the transformation of the strategic vision and of the enterprise’s mission into its strategic goals. At this stage, management is faced with the problem of developing a coordinated collective opinion on the content of the goals being formed and with the problem of objective assessment of their effectiveness. The difficulties here are due to the phenomenological features of the stage, such as the informal nature of the transformation procedure, the multi-criteria nature of goals, numerous uncertainties and risks exacerbated by the increased variability of business environments, cognitive barriers caused by linguistic discrepancies and differences in the professional experience of strategy developers. Such features of the stage ultimately lead to ambiguous decisions regarding the content of goals and ambiguous assessments of their effectiveness. In these circumstances, traditional support tools (numerous versions of expert methods, brainstorming, Norton and Kaplan's BSC, SMART technology, etc.) face serious limitations. This paper proposes a cognitive technology for forming a coordinated set of the enterprise’s business goals that to a large extent takes into account the features of the given stage. The technology is a single procedure integrating the capabilities of traditional support tools and expanding the creative potential of support based on psychosemantic models and nonmetric multidimensional scaling methods. The results of a real study conducted at a number of enterprises show that cognitive technologies open up new prospects for goal analysis. They can serve as a useful complement to existing support tools and contribute to the design of more effective and realistic business strategies.
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