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Identifying and Quantifying Cultural Factors That Matter to the IT Workforce: An Approach Based on Automated Content Analysis

  • Theresa Schmiedel
    ,
  • Oliver Müller
    ,
  • Stefan Debortoli
    ,
  • Jan vom Brocke
Research Output:
Journal Article or Conference Article in Journal
Conference article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Conference article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1-15

Journal (Volume, Issue Number)

Proceedings / European Conference on Information Systems (ECIS)

Publication milestones

  • Published - 2016

Publication status

Published - 2016

ISSN

0000-0034

Publication IDs

  • Scopus: 84995768522

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 approach 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 management. We perform an automated content analysis to identify cultural factors that employees emphasize 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 employees’ satisfaction in the IT workforce. Future research can apply our approach as an alternative method to quantifying culture and its impact on other variables.

Publication metrics

PlumX

Captures
42
Citations
5

Access to documents

Accepted author manuscript, 374.05 KB