research-article

Modeling Organizational Culture with Workplace Experiences Shared on Glassdoor

Authors:

Vedant Das Swain,

Manikanta D. Reddy,

Hemang Rajvanshy,

Gregory D. Abowd,

Munmun De ChoudhuryAuthors Info & Claims

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 15

https://doi.org/10.1145/3313831.3376793

Published: 23 April 2020 Publication History

Abstract

Organizational culture (OC) encompasses the underlying beliefs, values, and practices that are unique to an organization. However, OC is inherently subjective and a coarse construct, and therefore challenging to quantify. Alternatively, self-initiated workplace reviews on online platforms like Glassdoor provide the opportunity to leverage the richness of language to understand OC. In as much, first, we use multiple job descriptors to operationalize OC as a word vector representation. We validate this construct with language used in 650k different Glassdoor reviews. Next, we propose a methodology to apply our construct on Glassdoor reviews to quantify the OC of employees by sector. We validate our measure of OC on a dataset of 341 employees by providing empirical evidence that it helps explain job performance. We discuss the implications of our work in guiding tailored interventions and designing tools for improving employee functioning.

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ZIP contains two files: 1) Supplementary A (Table): This describes the 41 dimensions of OC identified by the researchers to be used to assess OC on Glassdoor. These dimensions are defined by their descriptions on O*Net and include references to the domain instruments (OC frameworks) that were used to validate the dimension. Specifically relevant to the section in "Aim 1: Identifying Descriptors of Organizational Culture" (Pg. 4); 2) Supplemantary B (Figure): This heatmap compares and contrasts the top n-grams across different dimensions of OC. It is an expanded and higher higher resolution version of Figure 2 in the paper.

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https://dl.acm.org/doi/10.1145/3613904.3642716
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Index Terms

Modeling Organizational Culture with Workplace Experiences Shared on Glassdoor
1. Applied computing
  1. Law, social and behavioral sciences
    1. Psychology
2. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Social media
    2. Empirical studies in collaborative and social computing

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cover image ACM Conferences

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

10688 pages

ISBN:9781450367080

DOI:10.1145/3313831

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

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Published: 23 April 2020

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Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA)

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CHI '20

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SIGCHI

CHI '20: CHI Conference on Human Factors in Computing Systems

April 25 - 30, 2020

HI, Honolulu, USA

Acceptance Rates

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Sen IScepanovic SConstantinides MQuercia D(2024)The Geography of U.S. Companies That Care About Their EmployeesProceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3663384.3663405(1-9)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1145/3663384.3663405
Das Swain VSaha K(2024)Teacher, Trainer, Counsel, Spy: How Generative AI can Bridge or Widen the Gaps in Worker-Centric Digital Phenotyping of WellbeingProceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3663384.3663401(1-13)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1145/3663384.3663401
Das Swain VGao LMondal AAbowd GDe Choudhury M(2024)Sensible and Sensitive AI for Worker Wellbeing: Factors that Inform Adoption and Resistance for Information WorkersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642716(1-30)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642716
Lee KChoi S(2024)Moderation Effect of Organizational Culture on the Relationship Between R&D Investments and Performance of Leading R&D-Intensive Firms in the USIEEE Transactions on Engineering Management10.1109/TEM.2024.336303871(5547-5558)Online publication date: 2024
https://doi.org/10.1109/TEM.2024.3363038
Liu ZBao DXiao XZhao H(2024)Crowdsourced firm ratings and total factor productivityDecision Support Systems10.1016/j.dss.2024.114218181:COnline publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1016/j.dss.2024.114218
Saha KChandrasekharan E(2023)Future of Workplace Conversational AI-driven Personal Assistants: Promises and PerilsProceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation10.1145/3632754.3632939(133-135)Online publication date: 15-Dec-2023
https://dl.acm.org/doi/10.1145/3632754.3632939
Kawakami AChowdhary SIqbal SLiao QOlteanu ASuh JSaha K(2023)Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational StakeholdersProceedings of the ACM on Human-Computer Interaction10.1145/36102077:CSCW2(1-33)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610207
Saha KIqbal S(2023)Focus Time: Effectiveness of Computer Assisted Protected Time for Wellbeing and Work Engagement of Information WorkersProceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3596671.3598571(1-13)Online publication date: 13-Jun-2023
https://dl.acm.org/doi/10.1145/3596671.3598571
Corvite SRoemmich KRosenberg TAndalibi N(2023)Data Subjects' Perspectives on Emotion Artificial Intelligence Use in the Workplace: A Relational Ethics LensProceedings of the ACM on Human-Computer Interaction10.1145/35796007:CSCW1(1-38)Online publication date: 16-Apr-2023
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Chandra MDe Choudhury MHorvát ÁHall WContractor NFröhling LOgnayova KTaneja HWeber IGligori? KMejova Y(2023)What Makes Some Workplaces More Favorable to Remote Work? Unpacking Employee Experiences During COVID-19 Via GlassdoorProceedings of the 15th ACM Web Science Conference 202310.1145/3578503.3583602(312-323)Online publication date: 30-Apr-2023
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