Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Artificial Intelligence (AI) transforms the business world by enabling organizations to leverage new business opportunities through its unique capabilities of self-learning and autonomous decision-making. To unlock the disruptive potential of AI, organizations seek to implement AI applications throughout their business landscape. However, from a cross-cultural perspective, national culture can influence the way organizations implement AI applications. To better understand cross-cultural differences on AI adoption, our study combines Hofstede’s national cultural framework with the organizational readiness concept for AI. We examined the moderating role of Hofstede’s national cultural dimensions on the organizational readiness factors of AI-process fit, financial resources, upskilling, collaborative work, and data quality. By conducting a multi-group analysis, we aim to identify national cultural differences between Germany and the US in AI adoption.
Recommended Citation
Zöll, Anne; Eitle, Verena; and Hendriks, Patrick, "Uncovering Cultural Differences in Organizational Readiness for Artificial Intelligence: A Comparison between Germany and the United States" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 6.
https://aisel.aisnet.org/hicss-57/cl/distributed_collaboration/6
Uncovering Cultural Differences in Organizational Readiness for Artificial Intelligence: A Comparison between Germany and the United States
Hilton Hawaiian Village, Honolulu, Hawaii
Artificial Intelligence (AI) transforms the business world by enabling organizations to leverage new business opportunities through its unique capabilities of self-learning and autonomous decision-making. To unlock the disruptive potential of AI, organizations seek to implement AI applications throughout their business landscape. However, from a cross-cultural perspective, national culture can influence the way organizations implement AI applications. To better understand cross-cultural differences on AI adoption, our study combines Hofstede’s national cultural framework with the organizational readiness concept for AI. We examined the moderating role of Hofstede’s national cultural dimensions on the organizational readiness factors of AI-process fit, financial resources, upskilling, collaborative work, and data quality. By conducting a multi-group analysis, we aim to identify national cultural differences between Germany and the US in AI adoption.
https://aisel.aisnet.org/hicss-57/cl/distributed_collaboration/6