Title: A comparative study on vision, mission statement and goals of world-class automotive companies with text mining approach

Authors: Mohammad Mahdi Keshvari; Mohsen Shafiei Nikabadi

Addresses: Industrial Management Department, Binaoud Institute of Higher Education, Mashhad, Iran; Industrial Management Department, Semnan University, Semnan, Iran ' Industrial Management Department, Binaoud Institute of Higher Education, Mashhad, Iran; Industrial Management Department, Semnan University, Semnan, Iran

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.

Keywords: data mining; text mining; clustering; automotive industry; K-means; world class.

DOI: 10.1504/IJAMS.2025.143666

International Journal of Applied Management Science, 2025 Vol.17 No.1, pp.52 - 71

Received: 17 Oct 2023
Accepted: 10 Feb 2024
Published online: 03 Jan 2025 *

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