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

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Publicado en:Journal of Applied Business Research vol. 36, no. 3 (2020), p. 121
Autor principal: Alshameri, Faleh
Otros Autores: Nathan Green Green
Publicado:
Knowledge and Leadership Alliance
Materias:
Distinctiveness
Customers
Machine learning
Mission statements
Natural language processing
Long term planning
Employee behavior
Word processing
Companies
Data processing
Consumers
Acceso en línea:Citation/Abstract
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Resumen: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
ISSN:0892-7626
2157-8834
DOI:10.19030/jabr.v36i3.10348
Fuente:ABI/INFORM Global