---
_id: '17102'
abstract:
- lang: eng
  text: Organizational culture represents a key success factor in highly competitive
    environments, such as, the IT sector. Thus, IT companies need to understand what
    makes up a culture that fosters employee performance. While existing research
    typically uses self-report questionnaires to study the relation of culture and
    the success of companies, the validity of this approach is often discussed and
    researchers call for new ways of studying culture. Therefore, our research goal
    is to present an alternative ap-proach to culture analysis for examining which
    cultural factors matter to the IT workforce. Our study builds on 112,610 online
    reviews of Fortune 500 IT companies collected from Glassdoor, an online platform
    on which current and former employees can anonymously review companies and their
    man-agement. We perform an automated content analysis to identify cultural factors
    that employees em-phasize in their reviews. Through a regression analysis on numerical
    employee satisfaction ratings, we find that a culture of learning and performance
    orientation contributes to employee motivation, while a culture of assertiveness
    and gender inegalitarianism has a strong negative influence on em-ployees’ satisfaction
    in the IT workforce. Future research can apply our approach as an alternative
    method to quantifying culture and its impact on other variables.
author:
- first_name: Theresa
  full_name: Schmiedel, Theresa
  last_name: Schmiedel
- first_name: Oliver
  full_name: Müller, Oliver
  id: '72849'
  last_name: Müller
- first_name: Stefan
  full_name: Debortoli, Stefan
  last_name: Debortoli
- first_name: Jan
  full_name: vom Brocke, Jan
  last_name: vom Brocke
citation:
  ama: 'Schmiedel T, Müller O, Debortoli S, vom Brocke J. Identifying and quantifying
    cultural factors that matter to the IT workforce: An approach based on automated
    content analysis. In: <i>European Conference on Information Systems</i>. ; 2016.'
  apa: 'Schmiedel, T., Müller, O., Debortoli, S., &#38; vom Brocke, J. (2016). Identifying
    and quantifying cultural factors that matter to the IT workforce: An approach
    based on automated content analysis. <i>European Conference on Information Systems</i>.'
  bibtex: '@inproceedings{Schmiedel_Müller_Debortoli_vom Brocke_2016, title={Identifying
    and quantifying cultural factors that matter to the IT workforce: An approach
    based on automated content analysis}, booktitle={European Conference on Information
    Systems}, author={Schmiedel, Theresa and Müller, Oliver and Debortoli, Stefan
    and vom Brocke, Jan}, year={2016} }'
  chicago: 'Schmiedel, Theresa, Oliver Müller, Stefan Debortoli, and Jan vom Brocke.
    “Identifying and Quantifying Cultural Factors That Matter to the IT Workforce:
    An Approach Based on Automated Content Analysis.” In <i>European Conference on
    Information Systems</i>, 2016.'
  ieee: 'T. Schmiedel, O. Müller, S. Debortoli, and J. vom Brocke, “Identifying and
    quantifying cultural factors that matter to the IT workforce: An approach based
    on automated content analysis,” 2016.'
  mla: 'Schmiedel, Theresa, et al. “Identifying and Quantifying Cultural Factors That
    Matter to the IT Workforce: An Approach Based on Automated Content Analysis.”
    <i>European Conference on Information Systems</i>, 2016.'
  short: 'T. Schmiedel, O. Müller, S. Debortoli, J. vom Brocke, in: European Conference
    on Information Systems, 2016.'
date_created: 2020-06-17T11:12:33Z
date_updated: 2022-08-17T07:24:18Z
department:
- _id: '196'
extern: '1'
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/ecis2016_rp/177/
publication: European Conference on Information Systems
status: public
title: 'Identifying and quantifying cultural factors that matter to the IT workforce:
  An approach based on automated content analysis'
type: conference
user_id: '72849'
year: '2016'
...