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The role of management in fostering analytics: the shift from intuition to analytics-based decision-making
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Dominik K. Kanbach ,
Sascha Kraus ,
Paul Jones
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 |
| Published: |
Informa UK Limited
2023
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa59817 |
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| 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 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. |
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| Keywords: |
Analytics; decision-making; management; digital transformation; case study |
| College: |
Faculty of Humanities and Social Sciences |
| Funders: |
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. |
| Issue: |
3 |
| Start Page: |
600 |
| End Page: |
616 |