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

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Vydáno v:Journal of Applied Business Research vol. 36, no. 3 (May/Jun 2020), p. 121
Hlavní autor: Alshameri, Faleh
Další autoři: Green, Nathan
Vydáno:
Knowledge and Leadership Alliance
Témata:
Distinctiveness
Customers
Machine learning
Big Data
Software
Strategic management
Mission statements
Datasets
Query expansion
Data mining
Employees
Algorithms
Clustering
Strategic planning
Employee behavior
Word processing
Companies
Data processing
Natural language processing
Consumers
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Abstrakt: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 a+nalyze 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.
ISSN:0892-7626
2157-8834
Zdroj:ABI/INFORM Global