---
res:
  bibo_abstract:
  - 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.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Theresa
      foaf_name: Schmiedel, Theresa
      foaf_surname: Schmiedel
  - foaf_Person:
      foaf_givenName: Oliver
      foaf_name: Müller, Oliver
      foaf_surname: Müller
      foaf_workInfoHomepage: http://www.librecat.org/personId=72849
  - foaf_Person:
      foaf_givenName: Stefan
      foaf_name: Debortoli, Stefan
      foaf_surname: Debortoli
  - foaf_Person:
      foaf_givenName: Jan
      foaf_name: vom Brocke, Jan
      foaf_surname: vom Brocke
  dct_date: 2016^xs_gYear
  dct_language: eng
  dct_title: 'Identifying and quantifying cultural factors that matter to the IT workforce:
    An approach based on automated content analysis@'
...