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Title:

AI integration and organization structures

Document type:
Forschungsdaten
Publication date:
22.05.2024
Responsible:
Huber, David Michael
Authors:
Huber, David Michael
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2024mp1743016
End date of data production:
11.05.2023
Subject area:
WIR Wirtschaftswissenschaften
Other subject areas:
Strategic Management
Resource type:
Umfragen und Interviews / surveys and interviews
Data type:
Tabellen / tables
Description:
Survey dataset collected from 330 large and medium-sized organizations. Constructs cover measures of AI integration into organizational processes, as well as organizational characteristics and structural determinants
Method of data assessment:
Survey conducted via web-aided interviews, analyzed in R
Key words:
Artificial intelligence; AI; organization structure; innovation
Technical remarks:
View and download (40 KB total, 2 Files)
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The data server also offers downloads with rsync (password m1743016):
rsync rsync://m1743016@dataserv.ub.tum.de/m1743016/
Language:
en
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