Abstract
As AI is increasingly adopted by businesses and society as a whole, there is an emerging need for existing change management practices to be adapted. Change is usually perceived as a threat, causing uncertainty, sentiments, and risks to organizations and individuals alike. However, change comes along with new business and personal opportunities. AI has the potential to accelerate and improve change management and make it more unerringly and human-centric.
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Notes
- 1.
See [1] for more information on the PMI definition of change management.
- 2.
See [2] for more information on the SHRM definition of change management.
- 3.
See [3] for a comprehensive treatment on leading change.
- 4.
See [4] for more information on the theory and practice of change management.
- 5.
See [5] for more information on change management models and methodologies.
- 6.
See [6] and [7] for more information on social media analytics.
- 7.
See [8] for more information on agile organizations.
- 8.
See [9] for more information on change management frameworks.
- 9.
The numbers in the following list correspond to the numbers in Figure 10-3.
- 10.
See [11] for more information on Information Technology Infrastructure Library (ITIL).
- 11.
See [12] for more information on ITIL Foundation edition 4.
- 12.
See [13] for more information on the Control Objectives for Information and Related Technologies (COBIT).
- 13.
See [14] for more information on the capabilities of social media analytics.
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© 2020 Eberhard Hechler, Martin Oberhofer, Thomas Schaeck
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Hechler, E., Oberhofer, M., Schaeck, T. (2020). AI and Change Management. In: Deploying AI in the Enterprise. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6206-1_10
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DOI: https://doi.org/10.1007/978-1-4842-6206-1_10
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-6205-4
Online ISBN: 978-1-4842-6206-1
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