Content area

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 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.

Details

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Title
Analyzing The Strength Between Mission And Vision Statements And Industry Via Machine Learning
Author
Alshameri, Faleh 1 ; Green, Nathan 1 

 Marymount University, USA 
Publication title
Volume
36
Issue
3
Pages
121-128
Publication year
2020
Publication date
May/Jun 2020
Publisher
Knowledge and Leadership Alliance
Place of publication
Boynton Beach
Country of publication
United States
Publication subject
ISSN
0892-7626
e-ISSN
2157-8834
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
2875544921
Document URL
https://www.proquest.com/scholarly-journals/analyzing-strength-between-mission-vision/docview/2875544921/se-2?accountid=208611
Copyright
Copyright The Clute Institute May/Jun 2020
Last updated
2025-11-08
Database
ProQuest One Academic