---
_id: '55662'
abstract:
- lang: eng
text: Schneijderberg und Steinhardt zeichnen in diesem Beitrag nach, wie
Akkreditierung als sanftes Konditionalprogramm in Bezug auf Diversity-Dimensionen
gewirkt hat. Unter sanfter Konditionierung wird in Anlehnung an Luhmann die politische
Steuerung durch Akkreditierungskriterien verstanden, die als Vehikel genutzt werden,
um gesellschaftlich aktuell diskutierte Themen in den Hochschulen zu platzieren.
Der Beitrag rekonstruiert in einem ersten Schritt, wie und welche Diversity-Dimensionen
in Akkreditierungskriterien abgebildet wurden. Hierzu wurden die Hochschulrahmengesetze,
die ländergemeinsamen Strukturvorgaben der Kultusministerkonferenz, die Akkreditierungskriterien
sowie Tätigkeitsberichte und Protokolle des Akkreditierungsrates mittels einer
Dokumentenanalyse ausgewertet. Um die Konditionierung nachzuzeichnen, wurde in
einem zweiten Schritt eine Topic-Modeling-Analyse von 828 Selbstdokumentationen
der Hochschulen, 743 Gutachtenberichte und 560 Beschlussbriefen durchgeführt.
author:
- first_name: Christian
full_name: Schneijderberg, Christian
last_name: Schneijderberg
- first_name: Isabel
full_name: Steinhardt, Isabel
id: '90339'
last_name: Steinhardt
orcid: https://orcid.org/0000-0002-2590-6189
citation:
ama: 'Schneijderberg C, Steinhardt I. Kleine Strukturmacht statt großer Ideologie.
Akkreditierung und Diversity. In: Griem J, Kaldewey D, Il-Tschung L, eds. »Die
Poesie der Reformen«. Zur Karriere des Diversity Management an Hochschulen in
Deutschland. transcript Verlag; 2024:89-108. doi:10.14361/9783839466797-006'
apa: Schneijderberg, C., & Steinhardt, I. (2024). Kleine Strukturmacht statt
großer Ideologie. Akkreditierung und Diversity. In J. Griem, D. Kaldewey, &
L. Il-Tschung (Eds.), »Die Poesie der Reformen«. Zur Karriere des Diversity
Management an Hochschulen in Deutschland (pp. 89–108). transcript Verlag.
https://doi.org/10.14361/9783839466797-006
bibtex: '@inbook{Schneijderberg_Steinhardt_2024, place={Bielefeld, Germany}, title={Kleine
Strukturmacht statt großer Ideologie. Akkreditierung und Diversity}, DOI={10.14361/9783839466797-006},
booktitle={»Die Poesie der Reformen«. Zur Karriere des Diversity Management an
Hochschulen in Deutschland}, publisher={transcript Verlag}, author={Schneijderberg,
Christian and Steinhardt, Isabel}, editor={Griem, Julika and Kaldewey, David and
Il-Tschung, Lim}, year={2024}, pages={89–108} }'
chicago: 'Schneijderberg, Christian, and Isabel Steinhardt. “Kleine Strukturmacht
statt großer Ideologie. Akkreditierung und Diversity.” In »Die Poesie der Reformen«.
Zur Karriere des Diversity Management an Hochschulen in Deutschland, edited
by Julika Griem, David Kaldewey, and Lim Il-Tschung, 89–108. Bielefeld, Germany:
transcript Verlag, 2024. https://doi.org/10.14361/9783839466797-006.'
ieee: 'C. Schneijderberg and I. Steinhardt, “Kleine Strukturmacht statt großer Ideologie.
Akkreditierung und Diversity,” in »Die Poesie der Reformen«. Zur Karriere des
Diversity Management an Hochschulen in Deutschland, J. Griem, D. Kaldewey,
and L. Il-Tschung, Eds. Bielefeld, Germany: transcript Verlag, 2024, pp. 89–108.'
mla: Schneijderberg, Christian, and Isabel Steinhardt. “Kleine Strukturmacht statt
großer Ideologie. Akkreditierung und Diversity.” »Die Poesie der Reformen«.
Zur Karriere des Diversity Management an Hochschulen in Deutschland, edited
by Julika Griem et al., transcript Verlag, 2024, pp. 89–108, doi:10.14361/9783839466797-006.
short: 'C. Schneijderberg, I. Steinhardt, in: J. Griem, D. Kaldewey, L. Il-Tschung
(Eds.), »Die Poesie der Reformen«. Zur Karriere des Diversity Management an Hochschulen
in Deutschland, transcript Verlag, Bielefeld, Germany, 2024, pp. 89–108.'
date_created: 2024-08-21T06:56:22Z
date_updated: 2024-08-21T07:05:30Z
ddc:
- '300'
department:
- _id: '121'
doi: 10.14361/9783839466797-006
editor:
- first_name: Julika
full_name: Griem, Julika
last_name: Griem
- first_name: David
full_name: Kaldewey, David
last_name: Kaldewey
- first_name: Lim
full_name: Il-Tschung, Lim
last_name: Il-Tschung
file:
- access_level: closed
content_type: application/pdf
creator: isste
date_created: 2024-08-21T07:02:24Z
date_updated: 2024-08-21T07:02:24Z
file_id: '55664'
file_name: 2024 Schneijderberg-Steinhardt Kleine Strukturmacht.pdf
file_size: 470885
relation: main_file
success: 1
file_date_updated: 2024-08-21T07:02:24Z
has_accepted_license: '1'
keyword:
- Akkreditierung
- Diversität
- Topic Modeling
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.transcript-open.de/doi/10.14361/9783839466797-006
oa: '1'
page: 89-108
place: Bielefeld, Germany
publication: »Die Poesie der Reformen«. Zur Karriere des Diversity Management an Hochschulen
in Deutschland
publication_identifier:
isbn:
- '9783837666793'
- '9783839466797'
issn:
- 2699-7681
- 2747-3864
publication_status: published
publisher: transcript Verlag
quality_controlled: '1'
status: public
title: Kleine Strukturmacht statt großer Ideologie. Akkreditierung und Diversity
type: book_chapter
user_id: '90339'
year: '2024'
...
---
_id: '4682'
author:
- first_name: T.
full_name: Schmiedel, T.
last_name: Schmiedel
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
- first_name: J.
full_name: vom Brocke, J.
last_name: vom Brocke
citation:
ama: 'Schmiedel T, Müller O, vom Brocke J. Topic Modeling as a Strategy of Inquiry
in Organizational Research: A Tutorial With an Application Example on Organizational
Culture. Organizational Research Methods. 2019:941--968. doi:https://doi.org/10.1177/1094428118773858'
apa: 'Schmiedel, T., Müller, O., & vom Brocke, J. (2019). Topic Modeling as
a Strategy of Inquiry in Organizational Research: A Tutorial With an Application
Example on Organizational Culture. Organizational Research Methods, 941--968.
https://doi.org/10.1177/1094428118773858'
bibtex: '@article{Schmiedel_Müller_vom Brocke_2019, title={Topic Modeling as a Strategy
of Inquiry in Organizational Research: A Tutorial With an Application Example
on Organizational Culture}, DOI={https://doi.org/10.1177/1094428118773858},
journal={Organizational Research Methods}, author={Schmiedel, T. and Müller, Oliver
and vom Brocke, J.}, year={2019}, pages={941--968} }'
chicago: 'Schmiedel, T., Oliver Müller, and J. vom Brocke. “Topic Modeling as a
Strategy of Inquiry in Organizational Research: A Tutorial With an Application
Example on Organizational Culture.” Organizational Research Methods, 2019,
941--968. https://doi.org/10.1177/1094428118773858.'
ieee: 'T. Schmiedel, O. Müller, and J. vom Brocke, “Topic Modeling as a Strategy
of Inquiry in Organizational Research: A Tutorial With an Application Example
on Organizational Culture,” Organizational Research Methods, pp. 941--968,
2019.'
mla: 'Schmiedel, T., et al. “Topic Modeling as a Strategy of Inquiry in Organizational
Research: A Tutorial With an Application Example on Organizational Culture.” Organizational
Research Methods, 2019, pp. 941--968, doi:https://doi.org/10.1177/1094428118773858.'
short: T. Schmiedel, O. Müller, J. vom Brocke, Organizational Research Methods (2019)
941--968.
date_created: 2018-10-12T08:24:26Z
date_updated: 2022-01-06T07:01:18Z
doi: https://doi.org/10.1177/1094428118773858
extern: '1'
keyword:
- online reviews
- organizational culture
- structural topic model
- topic modeling
- tutorial
language:
- iso: eng
page: '941--968 '
publication: Organizational Research Methods
status: public
title: 'Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial
With an Application Example on Organizational Culture'
type: journal_article
user_id: '72849'
year: '2019'
...
---
_id: '4691'
abstract:
- lang: eng
text: Analysts have estimated that more than 80 percent of today’s data is stored
in unstructured form (e.g., text, audio, image, video)—much of it expressed in
rich and ambiguous natural language. Traditionally, to analyze natural language,
one has used qualitative data-analysis approaches, such as manual coding. Yet,
the size of text data sets obtained from the Internet makes manual analysis virtually
impossible. In this tutorial, we discuss the challenges encountered when applying
automated text-mining techniques in information systems research. In particular,
we showcase how to use probabilistic topic modeling via Latent Dirichlet allocation,
an unsupervised text-mining technique, with a LASSO multinomial logistic regression
to explain user satisfaction with an IT artifact by automatically analyzing more
than 12,000 online customer reviews. For fellow information systems researchers,
this tutorial provides guidance for conducting text-mining studies on their own
and for evaluating the quality of others.
author:
- first_name: Stefan
full_name: Debortoli, Stefan
last_name: Debortoli
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
- first_name: Iris
full_name: Junglas, Iris
last_name: Junglas
- first_name: Jan
full_name: vom Brocke, Jan
last_name: vom Brocke
citation:
ama: 'Debortoli S, Müller O, Junglas I, vom Brocke J. Text Mining for Information
Systems Researchers: An Annotated Tutorial. Communications of the Association
for Information Systems. Published online 2016:555-582. doi:10.17705/1CAIS.03907'
apa: 'Debortoli, S., Müller, O., Junglas, I., & vom Brocke, J. (2016). Text
Mining for Information Systems Researchers: An Annotated Tutorial. Communications
of the Association for Information Systems, 555–582. https://doi.org/10.17705/1CAIS.03907'
bibtex: '@article{Debortoli_Müller_Junglas_vom Brocke_2016, title={Text Mining for
Information Systems Researchers: An Annotated Tutorial}, DOI={10.17705/1CAIS.03907},
journal={Communications of the Association for Information Systems}, author={Debortoli,
Stefan and Müller, Oliver and Junglas, Iris and vom Brocke, Jan}, year={2016},
pages={555–582} }'
chicago: 'Debortoli, Stefan, Oliver Müller, Iris Junglas, and Jan vom Brocke. “Text
Mining for Information Systems Researchers: An Annotated Tutorial.” Communications
of the Association for Information Systems, 2016, 555–82. https://doi.org/10.17705/1CAIS.03907.'
ieee: 'S. Debortoli, O. Müller, I. Junglas, and J. vom Brocke, “Text Mining for
Information Systems Researchers: An Annotated Tutorial,” Communications of
the Association for Information Systems, pp. 555–582, 2016, doi: 10.17705/1CAIS.03907.'
mla: 'Debortoli, Stefan, et al. “Text Mining for Information Systems Researchers:
An Annotated Tutorial.” Communications of the Association for Information Systems,
2016, pp. 555–82, doi:10.17705/1CAIS.03907.'
short: S. Debortoli, O. Müller, I. Junglas, J. vom Brocke, Communications of the
Association for Information Systems (2016) 555–582.
date_created: 2018-10-12T08:30:04Z
date_updated: 2026-03-10T09:44:54Z
department:
- _id: '196'
doi: 10.17705/1CAIS.03907
extern: '1'
keyword:
- Latent dirichlet allocation
- Online customer reviews
- Text mining
- Topic modeling
- User satisfaction
language:
- iso: eng
page: 555-582
publication: Communications of the Association for Information Systems
publication_identifier:
isbn:
- '9781615679119'
issn:
- 1529-3181
status: public
title: 'Text Mining for Information Systems Researchers: An Annotated Tutorial'
type: journal_article
user_id: '14972'
year: '2016'
...