Analyzing The Strength Between Mission And Vision Statements And Industry Via Machine Learning

Q4 Business, Management and Accounting
Faleh Alshameri, Nathan David Green
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引用次数: 5

Abstract

Mission and vision statements are critical to a company’s success both from a company’s long-term goals and appearance to potential customers. We analyze a collection of 772 mission and vision statements from companies via natural language processing. This data is hand annotated into 15 industry types. We show the distinctiveness and connectiveness of each industry via text processing and machine learning techniques. The extracted features of each industry are a telling and guiding indicator of what that industry embraces. We show high predictive power via machine learning to determine an industry by looking only at the mission and vision statements.
通过机器学习分析使命和愿景声明与行业之间的优势
从公司的长期目标和潜在客户的形象来看,使命和愿景声明对公司的成功至关重要。我们通过自然语言处理分析了772份来自公司的使命和愿景声明。这些数据被手工注释为15种行业类型。我们通过文本处理和机器学习技术展示了每个行业的独特性和连通性。每个行业提取的特征都是该行业所包含内容的一个有说服力和指导性的指标。我们通过机器学习展示了很高的预测能力,可以通过只看使命和愿景声明来确定一个行业。
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来源期刊
Journal of Applied Business Research
Journal of Applied Business Research Business, Management and Accounting-Business and International Management
CiteScore
0.60
自引率
0.00%
发文量
0
期刊介绍: The Journal of Applied Business Research (JABR) welcomes articles in all areas of applied business and economics research. Both theoretical and applied manuscripts will be considered for publication; however, theoretical manuscripts must provide a clear link to important and interesting business and economics applications. Using a wide range of research methods including statistical analysis, analytical work, case studies, field research, and historical analysis, articles examine significant applied business and economics research questions from a broad range of perspectives. The intention of JABR is to publish papers that significantly contribute to these fields.
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