Dataset used for the project [1481] "Selection Logics in Family Firms" - subproject family member selection

Schell, Sabrina; de Groote, Julia Katharina; Urban, Thomas; Hack, Andreas; von Schlippe, Arist (2021). Dataset used for the project [1481] "Selection Logics in Family Firms" - subproject family member selection [Dataset].

[img] Spreadsheet (This file contains the metadata of the project)
Information_about_the_dataset.xlsx - Additional Metadata
Restricted to registered users only
Available under License BORIS Standard License.
Download (14kB) | Request a copy

This dataset belongs to the project [1481] "Selection Logics in Family Firms" and focuses on family member selection in family firms.

Item Type:

 Dataset

Division/Institute:

 03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Organization and Human Resource Management > Human Resource Management

UniBE Contributor:

 Schell, Sabrina, de Groote, Julia Katharina, Hack, Andreas

Subjects:

 600 Technology > 650 Management & public relations

Funders:

 [42] Schweizerischer Nationalfonds

Projects:

 [1481] Selection Logics in Family Firms

Language:

 German

Submitter:

 Salome Richard

Date Deposited:

 16 Jul 2021 14:22

Last Modified:

 05 Dec 2022 15:51

Additional Information:

Short description of dataset:
- Data types: historic archival data; group discussions from three focus groups; 12 qualitative interviews.
- Generated data formats: audio recordings and written transcripts, video recordings, family trees, collaboratively developed findings as images
- Languages: Audio recordings in Swiss German, or German; transcripts in German.
- Scope: three focus groups with total 15 people (339 minutes audio recordings/ 98 transcript pages); 12 individual in-depth interviews with 12 people (450 minutes audio recordings/ 97 transcript pages; historic archival data from two Swiss and three German family businesses.
- Open data license: This dataset is not publicly available due to sensitive personal data. The anonymization of the data would have to be so strong that the quality of the data would be massively impaired and the meaningfulness would be lost.
- Metadata: specific information about the dataset can be found in the annex.

Uncontrolled Keywords:

 family firms, family businesses, selection logic, family members, qualitative data, semi-structured interviews, historical archive data

BORIS DOI:

 10.48350/156810

URI:

 https://boris.unibe.ch/id/eprint/156810

Actions (login required)

Edit item Edit item
Provide Feedback