A Comparative Study on Vision, Mission statement, and Goals of World-Class Automotive Companies using Text mining Approach

This study explores the differences between the mission statements of Iranian and global automotive companies. This study identifies the gaps between the two by analysing the mission statements of fourteen international automakers and two Iranian automakers using Text Mining and K-means techniques. The analysis reveals that global companies are clustered into two groups based on the concepts of 'Custom' and 'Live'. In comparison, Iranian companies are clustered into two groups using the concepts of 'Benefit' and 'Abil'. The findings suggest that both foreign and Iranian companies tend to use vague concepts, but Iranian companies focus more on beneficence and company empowerment while prioritising the national market. Conversely, international companies prioritise enhancing customer satisfaction. This study highlights significant differences in the words used in Iranian and global automakers' vision and mission statements, emphasising the importance of understanding cultural nuances when creating these statements.

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Publication Details

Journal
International Journal of Applied Management Science
Published
2024-08-11
DOI
https://doi.org/10.1504/ijams.2025.10065941
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comparative Study on Vision, Mission statement, and Goals of World-Class Automotive Companies using Text mining Approach

Mohsen Shafiei Nikabadi, Mohammad Mahdi Keshvari
International Journal of Applied Management Science
Technology and Data Analysis
article

A Comparative Study on Vision, Mission statement, and Goals of World-Class Automotive Companies using Text mining Approach

Mohsen Shafiei Nikabadi, Mohammad Mahdi Keshvari
article en

Abstract

This study explores the differences between the mission statements of Iranian and global automotive companies. This study identifies the gaps between the two by analysing the mission statements of fourteen international automakers and two Iranian automakers using Text Mining and K-means techniques. The analysis reveals that global companies are clustered into two groups based on the concepts of 'Custom' and 'Live'. In comparison, Iranian companies are clustered into two groups using the concepts of 'Benefit' and 'Abil'. The findings suggest that both foreign and Iranian companies tend to use vague concepts, but Iranian companies focus more on beneficence and company empowerment while prioritising the national market. Conversely, international companies prioritise enhancing customer satisfaction. This study highlights significant differences in the words used in Iranian and global automakers' vision and mission statements, emphasising the importance of understanding cultural nuances when creating these statements.

International Journal of Applied Management ScienceVol. 17(1)
Tabaran Institute of Higher Education (IR), Semnan University (IR)
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Technology and Data Analysis
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A Comparative Study on Vision, Mission statement, and Goals of World-Class Automotive Companies using Text mining Approach — Mohsen Shafiei Nikabadi, Mohammad Mahdi Keshvari · International Journal of Applied Management Science (2024) | TGRS Research Map | TGRS