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

Schell, Sabrina; de Groote, Julia Katharina; Richard, Salome; Hack, Andreas; Kellermanns, Franz (2021). Dataset used for the project [1481] "Selection Logics in Family Firms" - subproject top management team member selection [Dataset].

[img] Text (This file contains the interview guideline used in this study)
Interview_guideline.docx - Supplemental Material
Restricted to registered users only
Available under License BORIS Standard License.

Download (97kB) | Request a copy
[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 (15kB) | Request a copy

This dataset belongs to the project [1481] "Selection Logics in Family Firms" and focuses on selection logics of top management team members in family businesses.

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, Richard, Salome, 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 13:56

Last Modified:

05 Dec 2022 15:51

Additional Information:

Short description of dataset:
- Data type: qualitative interviews with semistructured guideline.
- Generated data formats: audio recordings and written transcripts.
- Languages: Audio recordings in English, Swiss German, or German; transcripts in German or English.
- Scope: 67 interviews of which 53 in family businesses (19 Swiss family businesses) and 14 with open innovation experts.
- 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 annexes.

Uncontrolled Keywords:

family firms, family businesses, selection logic, top management team member, qualitative data, semi-structured interviews

BORIS DOI:

10.48350/156785

URI:

https://boris.unibe.ch/id/eprint/156785

Actions (login required)

Edit item Edit item
Provide Feedback