Extracting organizational culture from text: the development and validation of a theory-driven tool for digital data
Schachner, Michael; Ardag, M. Murat; Holtz, Peter; Groβer, Johannes; Hartz, Carina; van Herk, Hester; Bender, Michael; Boehnke, Klaus; Dobewall, Henrik (2024-06-17)
Taylor & Francis
17.06.2024
Schachner, M., Ardag, M. M., Holtz, P., Großer, J., Hartz, C., van Herk, H., … Dobewall, H. (2024). Extracting organizational culture from text: the development and validation of a theory-driven tool for digital data. European Journal of Work and Organizational Psychology, 33(5), 571–582. https://doi.org/10.1080/1359432X.2024.2360225
https://creativecommons.org/licenses/by-nc-nd/4.0/
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
https://creativecommons.org/licenses/by-nc-nd/4.0/
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
https://creativecommons.org/licenses/by-nc-nd/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202408125332
https://urn.fi/URN:NBN:fi:oulu-202408125332
Tiivistelmä
Abstract
Understanding organizational culture and practices (OCPs) is crucial for business success, yet current assessments rely heavily on self-reports. We developed the “Dictionary of Organizational Culture and Practices”, the first theory-based text analysis tool designed to quantify OCPs as an alternative to surveys. Our approach integrates computational natural language processing with expert human judgement, using a 26 million words large corpus consisting of employee reviews of 526 companies, 1,121 mission and vision statements, and 285 company websites. We replicate Hofstede’s six-dimensional model of OCPs, not to be confused with Hofstede’s widely known model of national culture. Criterion validity is established by comparing our tool to existing ones that used data-driven approaches. Notably, our tool demonstrates construct validity through the striking similarity of the dimensional structure with survey-based measures. The level of alignment varied depending on the type of text, with congruence coefficients exceeding .9. Our findings offer valuable insights for academics and managers seeking to understand and shape an organization’s culture more effectively.
Understanding organizational culture and practices (OCPs) is crucial for business success, yet current assessments rely heavily on self-reports. We developed the “Dictionary of Organizational Culture and Practices”, the first theory-based text analysis tool designed to quantify OCPs as an alternative to surveys. Our approach integrates computational natural language processing with expert human judgement, using a 26 million words large corpus consisting of employee reviews of 526 companies, 1,121 mission and vision statements, and 285 company websites. We replicate Hofstede’s six-dimensional model of OCPs, not to be confused with Hofstede’s widely known model of national culture. Criterion validity is established by comparing our tool to existing ones that used data-driven approaches. Notably, our tool demonstrates construct validity through the striking similarity of the dimensional structure with survey-based measures. The level of alignment varied depending on the type of text, with congruence coefficients exceeding .9. Our findings offer valuable insights for academics and managers seeking to understand and shape an organization’s culture more effectively.
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