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- Document type:
- Forschungsdaten
- Publication date:
- 22.05.2024
- Responsible:
- Huber, David Michael
- Authors:
- Huber, David Michael
- Author affiliation:
- TUM
- Publisher:
- TUM
- Title:
- AI integration and organization structures
- 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)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1743016):
rsync rsync://m1743016@dataserv.ub.tum.de/m1743016/ - Language:
- en
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