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The role of management in fostering analytics: the shift from intuition to analytics-based decision-making
Journal of Decision Systems, Volume: 32, Issue: 3, Pages: 600 - 616
Swansea University Author: Paul Jones
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DOI (Published version): 10.1080/12460125.2022.2062848
Abstract
Numerous studies have shown that approaches of AI&A decision-making have the power to increase the quality of decisions. However, many firms have not adopted these approaches and many decisions are still made intuitively. Those decisions often fail to achieve their intended results, lead to nega...
Published in: | Journal of Decision Systems |
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ISSN: | 1246-0125 2116-7052 |
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Informa UK Limited
2023
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URI: | https://cronfa.swan.ac.uk/Record/cronfa59817 |
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v2 59817 2022-04-13 The role of management in fostering analytics: the shift from intuition to analytics-based decision-making 21e2660aaa102fe36fc981880dd9e082 0000-0003-0417-9143 Paul Jones Paul Jones true false 2022-04-13 CBAE Numerous studies have shown that approaches of AI&A decision-making have the power to increase the quality of decisions. However, many firms have not adopted these approaches and many decisions are still made intuitively. Those decisions often fail to achieve their intended results, lead to negative consequences, and sometimes must be reversed. This paper sheds light on the question of how management can drive the shift from intuitive to data-based decision-making.An in-depth single-site case study was conducted with a large publicly listed German manufacturing company. Building on 22 interviews, this empirical study identifies the root causes and overarching factors that need to be addressed to facilitate the shift from intuitive to analytics-based decision-making. These include management behavior, top management and strategy, analytics infrastructure, organization and governance, HR management and development, and culture. These factors form a hexagonal framework that offers actionable lessons for practice.The derived framework can serve as a basis for further research on the topic of analytical decision-making. In addition, it provides company leaders a useful tool to manage the transformation of decision-making in organizations. Journal Article Journal of Decision Systems 32 3 600 616 Informa UK Limited 1246-0125 2116-7052 Analytics; decision-making; management; digital transformation; case study 26 7 2023 2023-07-26 10.1080/12460125.2022.2062848 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University Not Required This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. 2024-06-06T14:10:27.2519884 2022-04-13T14:16:45.4010357 Faculty of Humanities and Social Sciences School of Management - Business Management Philipp Korherr 0000-0002-0261-487x 1 Dominik K. Kanbach 0000-0003-0956-8009 2 Sascha Kraus 0000-0003-4886-7482 3 Paul Jones 0000-0003-0417-9143 4 59817__24030__f370b758d4304a7193386bf7be4fe41c.pdf JDS.pdf 2022-05-09T11:17:13.3695001 Output 221973 application/pdf Accepted Manuscript true 2023-04-12T00:00:00.0000000 Released under the terms of the Creative Commons Attribution-NonCommercial License true eng http://creativecommons.org/licenses/by-nc/4.0/ |
title |
The role of management in fostering analytics: the shift from intuition to analytics-based decision-making |
spellingShingle |
The role of management in fostering analytics: the shift from intuition to analytics-based decision-making Paul Jones |
title_short |
The role of management in fostering analytics: the shift from intuition to analytics-based decision-making |
title_full |
The role of management in fostering analytics: the shift from intuition to analytics-based decision-making |
title_fullStr |
The role of management in fostering analytics: the shift from intuition to analytics-based decision-making |
title_full_unstemmed |
The role of management in fostering analytics: the shift from intuition to analytics-based decision-making |
title_sort |
The role of management in fostering analytics: the shift from intuition to analytics-based decision-making |
author_id_str_mv |
21e2660aaa102fe36fc981880dd9e082 |
author_id_fullname_str_mv |
21e2660aaa102fe36fc981880dd9e082_***_Paul Jones |
author |
Paul Jones |
author2 |
Philipp Korherr Dominik K. Kanbach Sascha Kraus Paul Jones |
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Journal article |
container_title |
Journal of Decision Systems |
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32 |
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3 |
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600 |
publishDate |
2023 |
institution |
Swansea University |
issn |
1246-0125 2116-7052 |
doi_str_mv |
10.1080/12460125.2022.2062848 |
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Informa UK Limited |
college_str |
Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management |
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description |
Numerous studies have shown that approaches of AI&A decision-making have the power to increase the quality of decisions. However, many firms have not adopted these approaches and many decisions are still made intuitively. Those decisions often fail to achieve their intended results, lead to negative consequences, and sometimes must be reversed. This paper sheds light on the question of how management can drive the shift from intuitive to data-based decision-making.An in-depth single-site case study was conducted with a large publicly listed German manufacturing company. Building on 22 interviews, this empirical study identifies the root causes and overarching factors that need to be addressed to facilitate the shift from intuitive to analytics-based decision-making. These include management behavior, top management and strategy, analytics infrastructure, organization and governance, HR management and development, and culture. These factors form a hexagonal framework that offers actionable lessons for practice.The derived framework can serve as a basis for further research on the topic of analytical decision-making. In addition, it provides company leaders a useful tool to manage the transformation of decision-making in organizations. |
published_date |
2023-07-26T14:10:28Z |
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1801117424443981824 |
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11.035634 |