策略研究中的机器学习方法

Mike H. M. Teodorescu
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引用次数: 9

摘要

在过去的几年里,机器学习的许多应用已经在战略和管理研究领域得到了认可。已建立的用途涵盖了战略国外投资、战略资源分配、系统风险分析和客户关系管理等多种问题。这篇调查文章涵盖了自然语言处理方法,重点是文本分析和机器学习方法及其在管理研究和战略实践中的应用。这些方法通俗易懂,有直接适用的例子,并辅以一套丰富的参考资料,涉及管理科学的多个子领域。目标读者是战略和管理研究人员,他们有兴趣了解战略研究中机器学习的概念、最近建立的应用和趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning Methods for Strategy Research
Numerous applications of machine learning have gained acceptance in the field of strategy and management research only during the last few years. Established uses span such diverse problems as strategic foreign investments, strategic resource allocation, systemic risk analysis, and customer relationship management. This survey article covers natural language processing methods focused on text analytics and machine learning methods with their applications to management research and strategic practice. The methods are presented accessibly, with directly applicable examples, supplemented by a rich set of references crossing multiple subfields of management science. The intended audience is the strategy and management researcher with an interest in understanding the concepts, the recently established applications, and the trends of machine learning for strategy research.
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