Identifying and quantifying Cultural Factors that Matter to the IT workforce: an Approach based on Automated Content Analysis

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.

[1]  E. Hall,et al.  Understanding Cultural Differences , 1989 .

[2]  Alan L. Wilkins,et al.  Efficient Cultures: Exploring the Relationship between Culture and Organizational Performance. , 1983 .

[3]  Melanie Wilson,et al.  A conceptual framework for studying gender in information systems research , 2004, J. Inf. Technol..

[4]  Detmar W. Straub,et al.  Toward a Theory-Based Measurement of Culture , 2002, J. Glob. Inf. Manag..

[5]  Dorothy E. Leidner,et al.  Review: A Review of Culture in Information Systems Research: Toward a Theory of Information Technology Culture Conflict , 2006, MIS Q..

[6]  Tim Scott,et al.  Instruments for exploring organizational culture: A review of the literature , 2009 .

[7]  Toby Marshall Egan,et al.  The effects of organizational learning culture and job satisfaction on motivation to transfer learning and turnover intention , 2004 .

[8]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[9]  Tim Morris,et al.  Feminism and Methodology: Social Science Issues , 1990 .

[10]  C. Ruppel,et al.  Sharing knowledge through intranets: a study of organizational culture and intranet implementation , 2001 .

[11]  Amélie Marian,et al.  Improving the quality of predictions using textual information in online user reviews , 2013, Inf. Syst..

[12]  Peter W. Foltz,et al.  An introduction to latent semantic analysis , 1998 .

[13]  Jeremy Miles,et al.  Discovering statistics using R, 1st Edition , 2012 .

[14]  P. Dorfman,et al.  Leadership and Organizations: The GLOBE Study of 62 Societies , 2004 .

[15]  Emmanuel Okechukwu Ogbonna,et al.  The Unintended Consequences of Culture Interventions: A Study of Unexpected Outcomes , 2002 .

[16]  J. R. Firth,et al.  A Synopsis of Linguistic Theory, 1930-1955 , 1957 .

[17]  Patrick Pantel,et al.  From Frequency to Meaning: Vector Space Models of Semantics , 2010, J. Artif. Intell. Res..

[18]  G. J. Hofstede,et al.  Cultures and Organizations: Software of the Mind. Third Millennium Edition , 2005 .

[19]  Mark Srite,et al.  Levels of Culture and Individual Behavior: An Investigative Perspective , 2005, J. Glob. Inf. Manag..

[20]  R. Light Measures of response agreement for qualitative data: Some generalizations and alternatives. , 1971 .

[21]  John Rohrbaugh,et al.  A Spatial Model of Effectiveness Criteria: Towards a Competing Values Approach to Organizational Analysis , 1983 .

[22]  B. Mark Organizational culture. , 1996, Annual review of nursing research.

[23]  S. Schwartz A Theory of Cultural Values and Some Implications for Work , 1999 .

[24]  Vas Taras,et al.  Half a century of measuring culture: Review of approaches, challenges, and limitations based on the analysis of 121 instruments for quantifying culture , 2009 .

[25]  Jan vom Brocke,et al.  Utilizing big data analytics for information systems research: challenges, promises and guidelines , 2016, Eur. J. Inf. Syst..

[26]  P. Brewer,et al.  GLOBE practices and values: A case of diminishing marginal utility? , 2010 .

[27]  Sue Newell,et al.  Dangerous liaisons? Component-based development and organizational subcultures , 2003, IEEE Trans. Engineering Management.

[28]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[29]  Neil F. Doherty,et al.  An analysis of the anticipated cultural impacts of the implementation of data warehouses , 2003, IEEE Trans. Engineering Management.

[30]  Juhani Iivari,et al.  The Relationship Between Organisational Culture and the Deployment of Systems Development Methodologies , 2001, CAiSE.

[31]  Narda R. Quigley,et al.  Insights from Project GLOBE , 2010 .

[32]  David B. Dunson,et al.  Probabilistic topic models , 2011, KDD '11 Tutorials.

[33]  Theresa Schmiedel,et al.  Reviewing the Role of Culture in Strategic Information Systems Research: A Call for Prescriptive Theorizing on Culture Management , 2016, Commun. Assoc. Inf. Syst..

[34]  Eileen M. Trauth,et al.  The importance of situating culture in cross-cultural IT management , 2003, IEEE Trans. Engineering Management.

[35]  Jan vom Brocke,et al.  Text Mining For Information Systems Researchers: An Annotated Topic Modeling Tutorial , 2016, Commun. Assoc. Inf. Syst..

[36]  V. Dhar,et al.  Does Chatter Matter? The Impact of User-Generated Content on Music Sales , 2007 .

[37]  D. Mimno,et al.  Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements , 2014 .

[38]  Zellig S. Harris,et al.  Distributional Structure , 1954 .