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Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2023
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Artificial Intelligence and Organizational Development: Opportunities and Challenges

Authors: Sheetal Bhasin Kapoor;

Artificial Intelligence and Organizational Development: Opportunities and Challenges

Abstract

Artificial Intelligence (AI) is transforming organizations by reshaping leadership, organizational culture, employee development, decision-making, and change management practices. As organizations embrace digital transformation, Organizational Development (OD) has evolved beyond traditional change initiatives to focus on building agile, innovative, and resilient organizations capable of adapting to technological disruptions. AI enables organizations to enhance operational efficiency, improve workforce planning, support data-driven decision-making, and strengthen organizational effectiveness. However, the adoption of AI also presents challenges related to employee resistance, ethical concerns, workforce reskilling, organizational culture, and data privacy. This study examines the opportunities and challenges of integrating Artificial Intelligence into Organizational Development using a qualitative research approach based on secondary data. The findings suggest that organizations successfully combining AI technologies with human-centric Organizational Development practices achieve higher organizational agility, employee engagement, innovation, and sustainable organizational performance. The study concludes that AI should complement rather than replace human capabilities, with Organizational Development serving as a strategic mechanism for managing digital transformation and organizational change.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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