Modeling Organizational Culture with Workplace Experiences Shared on Glassdoor

要旨

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.

キーワード
organizational culture
social media
glassdoor
wordvector
著者
Vedant Das Swain
Georgia Institute of Technology, Atlanta, GA, USA
Koustuv Saha
Georgia Institute of Technology, Atlanta, GA, USA
Manikanta D. Reddy
Georgia Institute of Technology, Atlanta, GA, USA
Hemang Rajvanshy
Georgia Institute of Technology, Atlanta, GA, USA
Gregory D. Abowd
Georgia Institute of Technology, Atlanta, GA, USA
Munmun De Choudhury
Georgia Institute of Technology, Atlanta, GA, USA
DOI

10.1145/3313831.3376793

論文URL

https://doi.org/10.1145/3313831.3376793

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Culture, heritage & play

Paper session
314 LANA'I
5 件の発表
2020-04-30 20:00:00
2020-04-30 21:15:00
日本語まとめ
読み込み中…