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Analysis of Changes in Employee Sentiments Over Time Using Text Mining: A Case Study of Large-Scale Mergers and Acquisitions in the Japanese Petroleum Industry

    Authors

    • Naoko Sakamaki 1
    • Yuto Kimura 2
    • Kazuhiko Tsuda 3

    1 Graduate School of Business Sciences, University of Tsukuba, Tokyo, Japan.

    2 Faculty of Business Administration, Toyo University, Tokyo, Japan

    3 Graduate School of Business Sciences, University of Tsukuba, Tokyo, Japan

,
Articles in Press
10.33844/ijol.2025.60524
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Abstract

This study examines how Mergers and Acquisitions (M&A) affect employee sentiment in Japan's petroleum industry by comparing differences between managers and general employees. We analyzed 10,378 open-ended survey responses collected over two years (2019: 5,117 responses, 64.96% response rate; 2020: 5,261 responses, 47.18% response rate) using natural language processing and sentiment analysis to track changes in employee sentiment after integration. Findings show that managers experienced increased anxiety and stress due to information overload, whereas general employees generally maintained positive attitudes and appreciated better communication opportunities with management. Both groups shared concerns about human resource evaluation systems and organizational structures. However, the specific nature and intensity of these concerns varied by role. These results indicate that uniform information-sharing and support are insufficient for successful Post-Merger Integration (PMI). Instead, organizations need targeted approaches that consider the different roles and information-processing patterns of each employee group. This study contributes a theoretical framework that combines information processing theory with M&A organizational dynamics to explain how hierarchical positions shape emotional responses during integration. Findings offer practical recommendations for human resource managers by emphasizing the importance of regular sentiment monitoring, role-specific communication strategies, and a clear demonstration of integration benefits to improve PMI outcomes.

Keywords

  • Employee sentiment
  • Mergers and acquisitions (M&A)
  • Post-merger integration (PMI)
  • Text mining
  • Petroleum industry

Main Subjects

  • Organizational behavior
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International Journal of Organizational Leadership

Articles in Press, Accepted Manuscript
Available Online from 05 August 2025
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APA

Sakamaki, N. , Kimura, Y. and Tsuda, K. (2025). Analysis of Changes in Employee Sentiments Over Time Using Text Mining: A Case Study of Large-Scale Mergers and Acquisitions in the Japanese Petroleum Industry. International Journal of Organizational Leadership, (), 612-636. doi: 10.33844/ijol.2025.60524

MLA

Sakamaki, N. , , Kimura, Y. , and Tsuda, K. . "Analysis of Changes in Employee Sentiments Over Time Using Text Mining: A Case Study of Large-Scale Mergers and Acquisitions in the Japanese Petroleum Industry", International Journal of Organizational Leadership, , , 2025, 612-636. doi: 10.33844/ijol.2025.60524

HARVARD

Sakamaki, N., Kimura, Y., Tsuda, K. (2025). 'Analysis of Changes in Employee Sentiments Over Time Using Text Mining: A Case Study of Large-Scale Mergers and Acquisitions in the Japanese Petroleum Industry', International Journal of Organizational Leadership, (), pp. 612-636. doi: 10.33844/ijol.2025.60524

CHICAGO

N. Sakamaki , Y. Kimura and K. Tsuda, "Analysis of Changes in Employee Sentiments Over Time Using Text Mining: A Case Study of Large-Scale Mergers and Acquisitions in the Japanese Petroleum Industry," International Journal of Organizational Leadership, (2025): 612-636, doi: 10.33844/ijol.2025.60524

VANCOUVER

Sakamaki, N., Kimura, Y., Tsuda, K. Analysis of Changes in Employee Sentiments Over Time Using Text Mining: A Case Study of Large-Scale Mergers and Acquisitions in the Japanese Petroleum Industry. International Journal of Organizational Leadership, 2025; (): 612-636. doi: 10.33844/ijol.2025.60524

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