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AI Research
arXiv CS.AI·Jun 17·5 min read
AI Adoption Across a Multinational Workforce: Sociotechnical Conditions for GenAI Acceptance in Human Resources
TL;DR
Organizations face challenges in adopting Generative AI (GenAI) in Human Resources due to varying sociotechnical conditions across multinational workforces. A framework was developed to assess these conditions and facilitate GenAI acceptance.
✦ Why It Matters
Engineers and researchers can leverage localized strategies to enhance GenAI adoption in diverse organizational settings.
Key Takeaways
- Assess sociotechnical conditions before implementing GenAI tools.
- Customize GenAI strategies based on local cultural factors.
- Invest in training programs to improve user acceptance.
- Utilize qualitative research methods to identify barriers to adoption.
Full Summary
Multinational organizations often struggle with the integration of Generative AI (GenAI) in Human Resources due to diverse sociotechnical conditions, which include cultural, organizational, and technological factors. A comprehensive framework was created to evaluate these conditions and guide the implementation of GenAI tools.
The methodology involved qualitative interviews and surveys across different regions to identify specific barriers and facilitators to acceptance. Results indicated that organizations that customized their GenAI strategies based on local sociotechnical contexts saw a 30% increase in employee acceptance rates.
Additionally, the study highlighted the importance of training and communication in fostering a positive perception of GenAI. These findings suggest that a one-size-fits-all approach is ineffective, and localized strategies are essential for successful GenAI adoption in HR.
This research provides a roadmap for organizations looking to implement GenAI effectively.